antibody against batf clone: d7c5 Search Results


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Batf D7c5, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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( A ) Visualization of integrated RNA-Seq and ChIP-Seq data from FACS-sorted murine BM-derived Flt3L-cultured WT pDCs using Cytoscape. Gene shape represents gene groups (filled circles = IFN I, triangles = ISGs, Squares = IRFs), colour of the gene shape indicates expression (red: high expression, yellow: moderate expression, green: low expression, grey: no expression), and colour of the arrow shows interaction (blue) or no interaction (grey) with <t>BATF</t> according to ChIP-Seq data. ( B ) Integrated RNA-Seq, ChIP-Seq and ATAC-Seq data for all mouse transcription factors in untreated (left) and 2h CpG stimulated (right) FACS-sorted murine BM-derived Flt3L-cultured pDCs visualized in Venn diagrams. Total number of genes among all mouse transcription factors is shown for expression of genes between WT and Batf -/- pDCs (RNA-Seq, fold change ≥ |1.5| and FDR ≤ 0.05, EdgeR), direct BATF interaction <t>with</t> <t>DNA</t> (ChIP-Seq peaks called after MACS) in WT pDCs and a differentially opening of chromatin between WT and Batf -/- pDCs (ATAC-Seq, fold change ≥ |1.5| and FDR ≤ 0.05, DESEq2). Genes matching all three criteria are listed to the right of the Venn diagrams. ( C ) Quantitative RT-PCR (left) for the expression of Zfp366 in FACS-purified untreated and CpG-stimulated WT ( Batf +/+ ) and Batf -/- pDCs. Heatmap (right) showing the normalized counts per million (cpm) expression of Zfp366 in Batf +/+ and Batf -/- pDCs at steady state (untreated) and after CpG stimulation (2h, 6h, 12h) from RNA-Seq data. ( D ) Quantitative RT-PCR for the relative expression of Zfp366 mRNA in Ifnar -/- and WT ( Ifnar +/+ ) purified BM-derived pDCs, which were left untreated or stimulated with CpG or IFNα2 for 6h. ( E ) Histograms (upper panel) and bar chart (lower) showing the Zfp366-tdTomato expression as MFI in untreated (-) and for 24h CpG-stimulated (CpG 1668/CpG 2216) BM-pDCs from DC-SCRIPT-reporter or WT (control; grey bar) mice. ( F ) Top panel presents a screen shot from the ECR (evolutionary conserved regions) Browser web site of 5’ region of the mouse Zfp366 gene. Intronic regions are depicted in pink, UTRs in yellow and conserved non-coding sequence (CNS) in red. Bottom panels present BATF ChIP-Seq (green) in sorted Batf +/+ , untreated and CpG stimulated (2h) pDCs, as well as ATAC-Seq (red) peaks in Batf +/+ and Batf -/- , untreated and CpG stimulated (2h) pDCs for the Zfp366 gene visualized with Integrative Genomics Viewer (IGV). ( G ) Alignment of the BATF binding position at - 3464 of the transcription start site (TSS) of the Zfp366 gene in different mammalian species. Alignment of the indicated genomic regions was performed with Jalview with the blue colouring representing percentage identity. The position of the BATF binding to the AP-1 motif is marked with a red box. ( H ) qRT-PCR presenting time course of Batf and Zfp366 expression in FACS-sorted BM-derived Flt3L-cultured pDCs from C57BL/6 mice. Data represents relative expression of Zfp366 (blue line) and Batf (red line) mRNA in resting (0) or CpG stimulated pDCs. ( I ) Quantitative RT-PCR showing the expression of Zfp366 in untreated and 16h CpG-stimulated, GFP or Batf -GFP-overexpressing purified Hoxb8-Fl pDCs. Data shown are from one representative experiment performed in triplicate (A & B RNA-Seq, C, D & H) or duplicate (Chip-Seq & ATAC-Seq A, B & F) out of three independent experiments with comparable results (C, D & H) or are combined data from three independent experiments (E & I). Data shown in A are log 2 fold change expression, in C, D, H, and I are the mean expression ± SEM from 3 to 4 biological replicates (normalized to Actb in C left, D, H, and I). Statistical differences between the groups were analyzed by unpaired two tailed t test (C & E & I), multiple t-test using Bonferroni correction (D), or two-way ANOVA followed by multiple comparisons using Bonferroni corrections (H). *: p < 0.05, **: p < 0.002, ***: p < 0.001
Antibody Against Batf Clone: D7c5, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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( A ) Visualization of integrated RNA-Seq and ChIP-Seq data from FACS-sorted murine BM-derived Flt3L-cultured WT pDCs using Cytoscape. Gene shape represents gene groups (filled circles = IFN I, triangles = ISGs, Squares = IRFs), colour of the gene shape indicates expression (red: high expression, yellow: moderate expression, green: low expression, grey: no expression), and colour of the arrow shows interaction (blue) or no interaction (grey) with <t>BATF</t> according to ChIP-Seq data. ( B ) Integrated RNA-Seq, ChIP-Seq and ATAC-Seq data for all mouse transcription factors in untreated (left) and 2h CpG stimulated (right) FACS-sorted murine BM-derived Flt3L-cultured pDCs visualized in Venn diagrams. Total number of genes among all mouse transcription factors is shown for expression of genes between WT and Batf -/- pDCs (RNA-Seq, fold change ≥ |1.5| and FDR ≤ 0.05, EdgeR), direct BATF interaction <t>with</t> <t>DNA</t> (ChIP-Seq peaks called after MACS) in WT pDCs and a differentially opening of chromatin between WT and Batf -/- pDCs (ATAC-Seq, fold change ≥ |1.5| and FDR ≤ 0.05, DESEq2). Genes matching all three criteria are listed to the right of the Venn diagrams. ( C ) Quantitative RT-PCR (left) for the expression of Zfp366 in FACS-purified untreated and CpG-stimulated WT ( Batf +/+ ) and Batf -/- pDCs. Heatmap (right) showing the normalized counts per million (cpm) expression of Zfp366 in Batf +/+ and Batf -/- pDCs at steady state (untreated) and after CpG stimulation (2h, 6h, 12h) from RNA-Seq data. ( D ) Quantitative RT-PCR for the relative expression of Zfp366 mRNA in Ifnar -/- and WT ( Ifnar +/+ ) purified BM-derived pDCs, which were left untreated or stimulated with CpG or IFNα2 for 6h. ( E ) Histograms (upper panel) and bar chart (lower) showing the Zfp366-tdTomato expression as MFI in untreated (-) and for 24h CpG-stimulated (CpG 1668/CpG 2216) BM-pDCs from DC-SCRIPT-reporter or WT (control; grey bar) mice. ( F ) Top panel presents a screen shot from the ECR (evolutionary conserved regions) Browser web site of 5’ region of the mouse Zfp366 gene. Intronic regions are depicted in pink, UTRs in yellow and conserved non-coding sequence (CNS) in red. Bottom panels present BATF ChIP-Seq (green) in sorted Batf +/+ , untreated and CpG stimulated (2h) pDCs, as well as ATAC-Seq (red) peaks in Batf +/+ and Batf -/- , untreated and CpG stimulated (2h) pDCs for the Zfp366 gene visualized with Integrative Genomics Viewer (IGV). ( G ) Alignment of the BATF binding position at - 3464 of the transcription start site (TSS) of the Zfp366 gene in different mammalian species. Alignment of the indicated genomic regions was performed with Jalview with the blue colouring representing percentage identity. The position of the BATF binding to the AP-1 motif is marked with a red box. ( H ) qRT-PCR presenting time course of Batf and Zfp366 expression in FACS-sorted BM-derived Flt3L-cultured pDCs from C57BL/6 mice. Data represents relative expression of Zfp366 (blue line) and Batf (red line) mRNA in resting (0) or CpG stimulated pDCs. ( I ) Quantitative RT-PCR showing the expression of Zfp366 in untreated and 16h CpG-stimulated, GFP or Batf -GFP-overexpressing purified Hoxb8-Fl pDCs. Data shown are from one representative experiment performed in triplicate (A & B RNA-Seq, C, D & H) or duplicate (Chip-Seq & ATAC-Seq A, B & F) out of three independent experiments with comparable results (C, D & H) or are combined data from three independent experiments (E & I). Data shown in A are log 2 fold change expression, in C, D, H, and I are the mean expression ± SEM from 3 to 4 biological replicates (normalized to Actb in C left, D, H, and I). Statistical differences between the groups were analyzed by unpaired two tailed t test (C & E & I), multiple t-test using Bonferroni correction (D), or two-way ANOVA followed by multiple comparisons using Bonferroni corrections (H). *: p < 0.05, **: p < 0.002, ***: p < 0.001
Cs Spatial Frequency C R ‑, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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( A ) Visualization of integrated RNA-Seq and ChIP-Seq data from FACS-sorted murine BM-derived Flt3L-cultured WT pDCs using Cytoscape. Gene shape represents gene groups (filled circles = IFN I, triangles = ISGs, Squares = IRFs), colour of the gene shape indicates expression (red: high expression, yellow: moderate expression, green: low expression, grey: no expression), and colour of the arrow shows interaction (blue) or no interaction (grey) with <t>BATF</t> according to ChIP-Seq data. ( B ) Integrated RNA-Seq, ChIP-Seq and ATAC-Seq data for all mouse transcription factors in untreated (left) and 2h CpG stimulated (right) FACS-sorted murine BM-derived Flt3L-cultured pDCs visualized in Venn diagrams. Total number of genes among all mouse transcription factors is shown for expression of genes between WT and Batf -/- pDCs (RNA-Seq, fold change ≥ |1.5| and FDR ≤ 0.05, EdgeR), direct BATF interaction <t>with</t> <t>DNA</t> (ChIP-Seq peaks called after MACS) in WT pDCs and a differentially opening of chromatin between WT and Batf -/- pDCs (ATAC-Seq, fold change ≥ |1.5| and FDR ≤ 0.05, DESEq2). Genes matching all three criteria are listed to the right of the Venn diagrams. ( C ) Quantitative RT-PCR (left) for the expression of Zfp366 in FACS-purified untreated and CpG-stimulated WT ( Batf +/+ ) and Batf -/- pDCs. Heatmap (right) showing the normalized counts per million (cpm) expression of Zfp366 in Batf +/+ and Batf -/- pDCs at steady state (untreated) and after CpG stimulation (2h, 6h, 12h) from RNA-Seq data. ( D ) Quantitative RT-PCR for the relative expression of Zfp366 mRNA in Ifnar -/- and WT ( Ifnar +/+ ) purified BM-derived pDCs, which were left untreated or stimulated with CpG or IFNα2 for 6h. ( E ) Histograms (upper panel) and bar chart (lower) showing the Zfp366-tdTomato expression as MFI in untreated (-) and for 24h CpG-stimulated (CpG 1668/CpG 2216) BM-pDCs from DC-SCRIPT-reporter or WT (control; grey bar) mice. ( F ) Top panel presents a screen shot from the ECR (evolutionary conserved regions) Browser web site of 5’ region of the mouse Zfp366 gene. Intronic regions are depicted in pink, UTRs in yellow and conserved non-coding sequence (CNS) in red. Bottom panels present BATF ChIP-Seq (green) in sorted Batf +/+ , untreated and CpG stimulated (2h) pDCs, as well as ATAC-Seq (red) peaks in Batf +/+ and Batf -/- , untreated and CpG stimulated (2h) pDCs for the Zfp366 gene visualized with Integrative Genomics Viewer (IGV). ( G ) Alignment of the BATF binding position at - 3464 of the transcription start site (TSS) of the Zfp366 gene in different mammalian species. Alignment of the indicated genomic regions was performed with Jalview with the blue colouring representing percentage identity. The position of the BATF binding to the AP-1 motif is marked with a red box. ( H ) qRT-PCR presenting time course of Batf and Zfp366 expression in FACS-sorted BM-derived Flt3L-cultured pDCs from C57BL/6 mice. Data represents relative expression of Zfp366 (blue line) and Batf (red line) mRNA in resting (0) or CpG stimulated pDCs. ( I ) Quantitative RT-PCR showing the expression of Zfp366 in untreated and 16h CpG-stimulated, GFP or Batf -GFP-overexpressing purified Hoxb8-Fl pDCs. Data shown are from one representative experiment performed in triplicate (A & B RNA-Seq, C, D & H) or duplicate (Chip-Seq & ATAC-Seq A, B & F) out of three independent experiments with comparable results (C, D & H) or are combined data from three independent experiments (E & I). Data shown in A are log 2 fold change expression, in C, D, H, and I are the mean expression ± SEM from 3 to 4 biological replicates (normalized to Actb in C left, D, H, and I). Statistical differences between the groups were analyzed by unpaired two tailed t test (C & E & I), multiple t-test using Bonferroni correction (D), or two-way ANOVA followed by multiple comparisons using Bonferroni corrections (H). *: p < 0.05, **: p < 0.002, ***: p < 0.001
Primary Antibody Rabbit Anti Irap, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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<t>IRAP-deficient</t> mice show less severe IgE- and IgG-induced anaphylactic reactions and experimental arthritis. (A) 24h after sensitization with anti-DNP IgE wild-type ( WT) and IRAP-deficient (IRAP KO ) mice were challenged with antigen (DNP-HSA) to induce passive systemic anaphylaxis (PSA). The drop in body temperature was evaluated. Data presented are the mean ± s.e.m. with 9 mice (pooled from 3 experiments). (B) Released serum MCPT-1 chymase collected at the end of temperature measurements was evaluated in the two groups of mice as well as in unsensitized control mice. (C) WT FcγRIIA Tg and FcγRIIA Tg IRAP KO mice were immunized with rabbit IgG and 7 days later mice were challenged with rabbit IgG to induce active systemic anaphylaxis (ASA). The drop in body temperature was evaluated. Data are presented as mean ± s.e.m. with 6 mice (pooled from 2 experiments). (D) ASA was monitored by evaluating plasma platelet counts collected at the end of temperature measurements in the two groups of mice as well as in non-immunized control mice. Data are the mean ± s.e.m. (E) Serum MCPT-1 chymase collected at the end of temperature measurements was measured in the two groups of mice as well as in non-immunized control mice. Data are the mean ± s.e.m. (F) WT and IRAP KO or WT FcγRIIA Tg and FcγRIIA Tg IRAP KO mice were injected with an anti-collagen type II Ab cocktail (day 0) followed by injection of LPS (day 4). Photographs shows representative hematoxylin/eosin (HE) staining of ankle sections as well as the macroscopic appearance of hind legs for each genotype at day 8. (G) Arthritis development was monitored by measuring paw thickness starting 5 days after injection of the Ab cocktail. (H) Arthritis scores were also evaluated according to the provided scoring system (Chondrex). Data are the mean ± s.e.m. from 4 to 7 mice/group. Statistical analysis was done using the two-way ANOVA followed by Sidak’s post-hoc test (A, C, G, H) or the unpaired Student’s t test (B, D, E) . *: P < 0.05; **: P < 0.01; *** P < 0.001; ns, not significant.
Irap D7c5 Xp Rabbit Mab, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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<t>IRAP-deficient</t> mice show less severe IgE- and IgG-induced anaphylactic reactions and experimental arthritis. (A) 24h after sensitization with anti-DNP IgE wild-type ( WT) and IRAP-deficient (IRAP KO ) mice were challenged with antigen (DNP-HSA) to induce passive systemic anaphylaxis (PSA). The drop in body temperature was evaluated. Data presented are the mean ± s.e.m. with 9 mice (pooled from 3 experiments). (B) Released serum MCPT-1 chymase collected at the end of temperature measurements was evaluated in the two groups of mice as well as in unsensitized control mice. (C) WT FcγRIIA Tg and FcγRIIA Tg IRAP KO mice were immunized with rabbit IgG and 7 days later mice were challenged with rabbit IgG to induce active systemic anaphylaxis (ASA). The drop in body temperature was evaluated. Data are presented as mean ± s.e.m. with 6 mice (pooled from 2 experiments). (D) ASA was monitored by evaluating plasma platelet counts collected at the end of temperature measurements in the two groups of mice as well as in non-immunized control mice. Data are the mean ± s.e.m. (E) Serum MCPT-1 chymase collected at the end of temperature measurements was measured in the two groups of mice as well as in non-immunized control mice. Data are the mean ± s.e.m. (F) WT and IRAP KO or WT FcγRIIA Tg and FcγRIIA Tg IRAP KO mice were injected with an anti-collagen type II Ab cocktail (day 0) followed by injection of LPS (day 4). Photographs shows representative hematoxylin/eosin (HE) staining of ankle sections as well as the macroscopic appearance of hind legs for each genotype at day 8. (G) Arthritis development was monitored by measuring paw thickness starting 5 days after injection of the Ab cocktail. (H) Arthritis scores were also evaluated according to the provided scoring system (Chondrex). Data are the mean ± s.e.m. from 4 to 7 mice/group. Statistical analysis was done using the two-way ANOVA followed by Sidak’s post-hoc test (A, C, G, H) or the unpaired Student’s t test (B, D, E) . *: P < 0.05; **: P < 0.01; *** P < 0.001; ns, not significant.
Anti Batf Antibody, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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<t>IRAP-deficient</t> mice show less severe IgE- and IgG-induced anaphylactic reactions and experimental arthritis. (A) 24h after sensitization with anti-DNP IgE wild-type ( WT) and IRAP-deficient (IRAP KO ) mice were challenged with antigen (DNP-HSA) to induce passive systemic anaphylaxis (PSA). The drop in body temperature was evaluated. Data presented are the mean ± s.e.m. with 9 mice (pooled from 3 experiments). (B) Released serum MCPT-1 chymase collected at the end of temperature measurements was evaluated in the two groups of mice as well as in unsensitized control mice. (C) WT FcγRIIA Tg and FcγRIIA Tg IRAP KO mice were immunized with rabbit IgG and 7 days later mice were challenged with rabbit IgG to induce active systemic anaphylaxis (ASA). The drop in body temperature was evaluated. Data are presented as mean ± s.e.m. with 6 mice (pooled from 2 experiments). (D) ASA was monitored by evaluating plasma platelet counts collected at the end of temperature measurements in the two groups of mice as well as in non-immunized control mice. Data are the mean ± s.e.m. (E) Serum MCPT-1 chymase collected at the end of temperature measurements was measured in the two groups of mice as well as in non-immunized control mice. Data are the mean ± s.e.m. (F) WT and IRAP KO or WT FcγRIIA Tg and FcγRIIA Tg IRAP KO mice were injected with an anti-collagen type II Ab cocktail (day 0) followed by injection of LPS (day 4). Photographs shows representative hematoxylin/eosin (HE) staining of ankle sections as well as the macroscopic appearance of hind legs for each genotype at day 8. (G) Arthritis development was monitored by measuring paw thickness starting 5 days after injection of the Ab cocktail. (H) Arthritis scores were also evaluated according to the provided scoring system (Chondrex). Data are the mean ± s.e.m. from 4 to 7 mice/group. Statistical analysis was done using the two-way ANOVA followed by Sidak’s post-hoc test (A, C, G, H) or the unpaired Student’s t test (B, D, E) . *: P < 0.05; **: P < 0.01; *** P < 0.001; ns, not significant.
Primary Antibody Irf4(4964), supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Loss of <t>BATF</t> impairs Th17 differentiation. ( A ) Rpkm values are plotted for BATF RNA at different time points of activation (Th0) or Th17-differentiation, using our published RNA-seq data . ( B ) Immunoblot (left) shows BATF protein levels in SCR versus BATF KD cells, at 24 h of Th17 polarization. Actin serves as loading control. Adjoining flow cytometry plots show percentage of CCR6 positive cells and the graph below shows ELISA analysis for IL-17 secretion in SCR versus BATF KD cells, at 72 h of Th17 polarization. ELISA values were first normalized for cell count (live), and then normalized to SCR control. Graph shows mean ± SEM for three biological replicates. Statistical significance was calculated using two-tailed Student's t test (** p < 0.01). ( C ) Volcano plots highlight the significantly upregulated (in red) and downregulated (in blue) genes in BATF-silenced Th17 cells at 24 h (left) and 72 h (right) of polarization (FDR ≤ 0.1, |FC| ≥ 1.8). DE genes with relevance to Th17 function are shown (extended DE gene list shown in ). ( D ) IPA was used to identify pathways altered upon silencing of BATF in Th17-polarized cells (24 h and 72 h). The top pathways related to T-cells and immune signaling are selectively shown. ( E ) Venn diagram shows the overlap between the genes that are altered upon BATF KD and the genes whose putative promoter regions (5-kb window around the TSS) are bound by BATF. The overlapping area represents the promoter-bound regulatory targets of BATF and the adjoining heatmap shows their corresponding expression changes in BATF KD Th17 cells. IGV images illustrate the occupancy of BATF over some of its Th17-associated targets. ( F ) Figure shows the topmost consensus sequence for genomic-binding of BATF, and the top six TF motifs enriched within BATF-bound sites, which were obtained using de-novo motif enrichment analysis by Homer. Peaks with IDR p value <0.01 were used for motif discovery.
Rabbit Monoclonal Batf Antibody D7c5, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Loss of <t>BATF</t> impairs Th17 differentiation. ( A ) Rpkm values are plotted for BATF RNA at different time points of activation (Th0) or Th17-differentiation, using our published RNA-seq data . ( B ) Immunoblot (left) shows BATF protein levels in SCR versus BATF KD cells, at 24 h of Th17 polarization. Actin serves as loading control. Adjoining flow cytometry plots show percentage of CCR6 positive cells and the graph below shows ELISA analysis for IL-17 secretion in SCR versus BATF KD cells, at 72 h of Th17 polarization. ELISA values were first normalized for cell count (live), and then normalized to SCR control. Graph shows mean ± SEM for three biological replicates. Statistical significance was calculated using two-tailed Student's t test (** p < 0.01). ( C ) Volcano plots highlight the significantly upregulated (in red) and downregulated (in blue) genes in BATF-silenced Th17 cells at 24 h (left) and 72 h (right) of polarization (FDR ≤ 0.1, |FC| ≥ 1.8). DE genes with relevance to Th17 function are shown (extended DE gene list shown in ). ( D ) IPA was used to identify pathways altered upon silencing of BATF in Th17-polarized cells (24 h and 72 h). The top pathways related to T-cells and immune signaling are selectively shown. ( E ) Venn diagram shows the overlap between the genes that are altered upon BATF KD and the genes whose putative promoter regions (5-kb window around the TSS) are bound by BATF. The overlapping area represents the promoter-bound regulatory targets of BATF and the adjoining heatmap shows their corresponding expression changes in BATF KD Th17 cells. IGV images illustrate the occupancy of BATF over some of its Th17-associated targets. ( F ) Figure shows the topmost consensus sequence for genomic-binding of BATF, and the top six TF motifs enriched within BATF-bound sites, which were obtained using de-novo motif enrichment analysis by Homer. Peaks with IDR p value <0.01 were used for motif discovery.
Anti Batf D7c5, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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( A and B ) Immunoblot shows <t>BATF</t> protein levels in control (SCR) versus BATF KD Th17 cells at 24h of differentiation. Adjoining flow cytometry plots depict the percentage of CCR6 positive cells in the indicated conditions, at 72h of Th17 polarization. Panel B shows ELISA analysis for secreted IL-17A levels in SCR versus BATF KD Th17 cells (72h). ELISA values were first normalized to live cell count, followed by normalization with SCR. Graph shows mean ± SEM for three biological replicates. Statistical significance was calculated using two-tailed Student’s t test (**p < 0.01). ( C ) Volcano plots highlight the significantly upregulated (red) and downregulated (blue) genes in BATF-silenced Th17 cells at 24h [left] and 72h [right] of polarization (FDR ≤ 0.1, |fold change| ≥ 1.8). DE genes with relevance to Th17 function are shown. ( D ) IPA was used to identify pathways altered upon silencing of BATF in Th17-polarized cells. ( E ) ChIP-seq analysis was performed for BATF using Th17 cells cultured for 72h. Figure shows distribution of BATF binding sites relative to the position of the closest transcription start site (TSS). TSS is defined to be at position zero. ( F ) The topmost consensus sequence for genomic-binding of BATF and the top six TF motifs enriched within BATF-bound sites, were obtained using de-novo motif enrichment analysis by Homer. Peaks with IDR p value < 0.01 were used for motif discovery. ( G ) Venn diagram shows the overlap between the genes that are altered upon BATF KD and the genes whose promoters are bound by BATF (5-kb around TSS). The overlapping area represents the promoter-bound regulatory targets of BATF and the adjoining heatmap shows their corresponding logarithmic fold change values in BATF KD Th17 cells. IGV images illustrate the occupancy of BATF over some of its Th17-associated targets.
Rabbit Monoclonal Batf Antibody, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/rabbit monoclonal batf antibody/product/Cell Signaling Technology Inc
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rabbit monoclonal batf antibody - by Bioz Stars, 2026-03
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( A ) Visualization of integrated RNA-Seq and ChIP-Seq data from FACS-sorted murine BM-derived Flt3L-cultured WT pDCs using Cytoscape. Gene shape represents gene groups (filled circles = IFN I, triangles = ISGs, Squares = IRFs), colour of the gene shape indicates expression (red: high expression, yellow: moderate expression, green: low expression, grey: no expression), and colour of the arrow shows interaction (blue) or no interaction (grey) with BATF according to ChIP-Seq data. ( B ) Integrated RNA-Seq, ChIP-Seq and ATAC-Seq data for all mouse transcription factors in untreated (left) and 2h CpG stimulated (right) FACS-sorted murine BM-derived Flt3L-cultured pDCs visualized in Venn diagrams. Total number of genes among all mouse transcription factors is shown for expression of genes between WT and Batf -/- pDCs (RNA-Seq, fold change ≥ |1.5| and FDR ≤ 0.05, EdgeR), direct BATF interaction with DNA (ChIP-Seq peaks called after MACS) in WT pDCs and a differentially opening of chromatin between WT and Batf -/- pDCs (ATAC-Seq, fold change ≥ |1.5| and FDR ≤ 0.05, DESEq2). Genes matching all three criteria are listed to the right of the Venn diagrams. ( C ) Quantitative RT-PCR (left) for the expression of Zfp366 in FACS-purified untreated and CpG-stimulated WT ( Batf +/+ ) and Batf -/- pDCs. Heatmap (right) showing the normalized counts per million (cpm) expression of Zfp366 in Batf +/+ and Batf -/- pDCs at steady state (untreated) and after CpG stimulation (2h, 6h, 12h) from RNA-Seq data. ( D ) Quantitative RT-PCR for the relative expression of Zfp366 mRNA in Ifnar -/- and WT ( Ifnar +/+ ) purified BM-derived pDCs, which were left untreated or stimulated with CpG or IFNα2 for 6h. ( E ) Histograms (upper panel) and bar chart (lower) showing the Zfp366-tdTomato expression as MFI in untreated (-) and for 24h CpG-stimulated (CpG 1668/CpG 2216) BM-pDCs from DC-SCRIPT-reporter or WT (control; grey bar) mice. ( F ) Top panel presents a screen shot from the ECR (evolutionary conserved regions) Browser web site of 5’ region of the mouse Zfp366 gene. Intronic regions are depicted in pink, UTRs in yellow and conserved non-coding sequence (CNS) in red. Bottom panels present BATF ChIP-Seq (green) in sorted Batf +/+ , untreated and CpG stimulated (2h) pDCs, as well as ATAC-Seq (red) peaks in Batf +/+ and Batf -/- , untreated and CpG stimulated (2h) pDCs for the Zfp366 gene visualized with Integrative Genomics Viewer (IGV). ( G ) Alignment of the BATF binding position at - 3464 of the transcription start site (TSS) of the Zfp366 gene in different mammalian species. Alignment of the indicated genomic regions was performed with Jalview with the blue colouring representing percentage identity. The position of the BATF binding to the AP-1 motif is marked with a red box. ( H ) qRT-PCR presenting time course of Batf and Zfp366 expression in FACS-sorted BM-derived Flt3L-cultured pDCs from C57BL/6 mice. Data represents relative expression of Zfp366 (blue line) and Batf (red line) mRNA in resting (0) or CpG stimulated pDCs. ( I ) Quantitative RT-PCR showing the expression of Zfp366 in untreated and 16h CpG-stimulated, GFP or Batf -GFP-overexpressing purified Hoxb8-Fl pDCs. Data shown are from one representative experiment performed in triplicate (A & B RNA-Seq, C, D & H) or duplicate (Chip-Seq & ATAC-Seq A, B & F) out of three independent experiments with comparable results (C, D & H) or are combined data from three independent experiments (E & I). Data shown in A are log 2 fold change expression, in C, D, H, and I are the mean expression ± SEM from 3 to 4 biological replicates (normalized to Actb in C left, D, H, and I). Statistical differences between the groups were analyzed by unpaired two tailed t test (C & E & I), multiple t-test using Bonferroni correction (D), or two-way ANOVA followed by multiple comparisons using Bonferroni corrections (H). *: p < 0.05, **: p < 0.002, ***: p < 0.001

Journal: bioRxiv

Article Title: BATF controls IFN I production via DC-SCRIPT in plasmacytoid dendritic cells

doi: 10.1101/2024.01.11.574638

Figure Lengend Snippet: ( A ) Visualization of integrated RNA-Seq and ChIP-Seq data from FACS-sorted murine BM-derived Flt3L-cultured WT pDCs using Cytoscape. Gene shape represents gene groups (filled circles = IFN I, triangles = ISGs, Squares = IRFs), colour of the gene shape indicates expression (red: high expression, yellow: moderate expression, green: low expression, grey: no expression), and colour of the arrow shows interaction (blue) or no interaction (grey) with BATF according to ChIP-Seq data. ( B ) Integrated RNA-Seq, ChIP-Seq and ATAC-Seq data for all mouse transcription factors in untreated (left) and 2h CpG stimulated (right) FACS-sorted murine BM-derived Flt3L-cultured pDCs visualized in Venn diagrams. Total number of genes among all mouse transcription factors is shown for expression of genes between WT and Batf -/- pDCs (RNA-Seq, fold change ≥ |1.5| and FDR ≤ 0.05, EdgeR), direct BATF interaction with DNA (ChIP-Seq peaks called after MACS) in WT pDCs and a differentially opening of chromatin between WT and Batf -/- pDCs (ATAC-Seq, fold change ≥ |1.5| and FDR ≤ 0.05, DESEq2). Genes matching all three criteria are listed to the right of the Venn diagrams. ( C ) Quantitative RT-PCR (left) for the expression of Zfp366 in FACS-purified untreated and CpG-stimulated WT ( Batf +/+ ) and Batf -/- pDCs. Heatmap (right) showing the normalized counts per million (cpm) expression of Zfp366 in Batf +/+ and Batf -/- pDCs at steady state (untreated) and after CpG stimulation (2h, 6h, 12h) from RNA-Seq data. ( D ) Quantitative RT-PCR for the relative expression of Zfp366 mRNA in Ifnar -/- and WT ( Ifnar +/+ ) purified BM-derived pDCs, which were left untreated or stimulated with CpG or IFNα2 for 6h. ( E ) Histograms (upper panel) and bar chart (lower) showing the Zfp366-tdTomato expression as MFI in untreated (-) and for 24h CpG-stimulated (CpG 1668/CpG 2216) BM-pDCs from DC-SCRIPT-reporter or WT (control; grey bar) mice. ( F ) Top panel presents a screen shot from the ECR (evolutionary conserved regions) Browser web site of 5’ region of the mouse Zfp366 gene. Intronic regions are depicted in pink, UTRs in yellow and conserved non-coding sequence (CNS) in red. Bottom panels present BATF ChIP-Seq (green) in sorted Batf +/+ , untreated and CpG stimulated (2h) pDCs, as well as ATAC-Seq (red) peaks in Batf +/+ and Batf -/- , untreated and CpG stimulated (2h) pDCs for the Zfp366 gene visualized with Integrative Genomics Viewer (IGV). ( G ) Alignment of the BATF binding position at - 3464 of the transcription start site (TSS) of the Zfp366 gene in different mammalian species. Alignment of the indicated genomic regions was performed with Jalview with the blue colouring representing percentage identity. The position of the BATF binding to the AP-1 motif is marked with a red box. ( H ) qRT-PCR presenting time course of Batf and Zfp366 expression in FACS-sorted BM-derived Flt3L-cultured pDCs from C57BL/6 mice. Data represents relative expression of Zfp366 (blue line) and Batf (red line) mRNA in resting (0) or CpG stimulated pDCs. ( I ) Quantitative RT-PCR showing the expression of Zfp366 in untreated and 16h CpG-stimulated, GFP or Batf -GFP-overexpressing purified Hoxb8-Fl pDCs. Data shown are from one representative experiment performed in triplicate (A & B RNA-Seq, C, D & H) or duplicate (Chip-Seq & ATAC-Seq A, B & F) out of three independent experiments with comparable results (C, D & H) or are combined data from three independent experiments (E & I). Data shown in A are log 2 fold change expression, in C, D, H, and I are the mean expression ± SEM from 3 to 4 biological replicates (normalized to Actb in C left, D, H, and I). Statistical differences between the groups were analyzed by unpaired two tailed t test (C & E & I), multiple t-test using Bonferroni correction (D), or two-way ANOVA followed by multiple comparisons using Bonferroni corrections (H). *: p < 0.05, **: p < 0.002, ***: p < 0.001

Article Snippet: Genomic DNA regions of interest were isolated using 4μg of antibody against BATF (Clone: D7C5, Cell Signaling Technology, 8638BF).

Techniques: RNA Sequencing, ChIP-sequencing, Derivative Assay, Cell Culture, Expressing, Quantitative RT-PCR, Purification, Control, Sequencing, Binding Assay, Two Tailed Test

IRAP-deficient mice show less severe IgE- and IgG-induced anaphylactic reactions and experimental arthritis. (A) 24h after sensitization with anti-DNP IgE wild-type ( WT) and IRAP-deficient (IRAP KO ) mice were challenged with antigen (DNP-HSA) to induce passive systemic anaphylaxis (PSA). The drop in body temperature was evaluated. Data presented are the mean ± s.e.m. with 9 mice (pooled from 3 experiments). (B) Released serum MCPT-1 chymase collected at the end of temperature measurements was evaluated in the two groups of mice as well as in unsensitized control mice. (C) WT FcγRIIA Tg and FcγRIIA Tg IRAP KO mice were immunized with rabbit IgG and 7 days later mice were challenged with rabbit IgG to induce active systemic anaphylaxis (ASA). The drop in body temperature was evaluated. Data are presented as mean ± s.e.m. with 6 mice (pooled from 2 experiments). (D) ASA was monitored by evaluating plasma platelet counts collected at the end of temperature measurements in the two groups of mice as well as in non-immunized control mice. Data are the mean ± s.e.m. (E) Serum MCPT-1 chymase collected at the end of temperature measurements was measured in the two groups of mice as well as in non-immunized control mice. Data are the mean ± s.e.m. (F) WT and IRAP KO or WT FcγRIIA Tg and FcγRIIA Tg IRAP KO mice were injected with an anti-collagen type II Ab cocktail (day 0) followed by injection of LPS (day 4). Photographs shows representative hematoxylin/eosin (HE) staining of ankle sections as well as the macroscopic appearance of hind legs for each genotype at day 8. (G) Arthritis development was monitored by measuring paw thickness starting 5 days after injection of the Ab cocktail. (H) Arthritis scores were also evaluated according to the provided scoring system (Chondrex). Data are the mean ± s.e.m. from 4 to 7 mice/group. Statistical analysis was done using the two-way ANOVA followed by Sidak’s post-hoc test (A, C, G, H) or the unpaired Student’s t test (B, D, E) . *: P < 0.05; **: P < 0.01; *** P < 0.001; ns, not significant.

Journal: Frontiers in Immunology

Article Title: Insulin-regulated aminopeptidase contributes to setting the intensity of FcR-mediated inflammation

doi: 10.3389/fimmu.2022.1029759

Figure Lengend Snippet: IRAP-deficient mice show less severe IgE- and IgG-induced anaphylactic reactions and experimental arthritis. (A) 24h after sensitization with anti-DNP IgE wild-type ( WT) and IRAP-deficient (IRAP KO ) mice were challenged with antigen (DNP-HSA) to induce passive systemic anaphylaxis (PSA). The drop in body temperature was evaluated. Data presented are the mean ± s.e.m. with 9 mice (pooled from 3 experiments). (B) Released serum MCPT-1 chymase collected at the end of temperature measurements was evaluated in the two groups of mice as well as in unsensitized control mice. (C) WT FcγRIIA Tg and FcγRIIA Tg IRAP KO mice were immunized with rabbit IgG and 7 days later mice were challenged with rabbit IgG to induce active systemic anaphylaxis (ASA). The drop in body temperature was evaluated. Data are presented as mean ± s.e.m. with 6 mice (pooled from 2 experiments). (D) ASA was monitored by evaluating plasma platelet counts collected at the end of temperature measurements in the two groups of mice as well as in non-immunized control mice. Data are the mean ± s.e.m. (E) Serum MCPT-1 chymase collected at the end of temperature measurements was measured in the two groups of mice as well as in non-immunized control mice. Data are the mean ± s.e.m. (F) WT and IRAP KO or WT FcγRIIA Tg and FcγRIIA Tg IRAP KO mice were injected with an anti-collagen type II Ab cocktail (day 0) followed by injection of LPS (day 4). Photographs shows representative hematoxylin/eosin (HE) staining of ankle sections as well as the macroscopic appearance of hind legs for each genotype at day 8. (G) Arthritis development was monitored by measuring paw thickness starting 5 days after injection of the Ab cocktail. (H) Arthritis scores were also evaluated according to the provided scoring system (Chondrex). Data are the mean ± s.e.m. from 4 to 7 mice/group. Statistical analysis was done using the two-way ANOVA followed by Sidak’s post-hoc test (A, C, G, H) or the unpaired Student’s t test (B, D, E) . *: P < 0.05; **: P < 0.01; *** P < 0.001; ns, not significant.

Article Snippet: Abs used: IRAP (D7C5) XP ® Rabbit mAb (Cell signaling #6918S), LifeSpan Bioscience.

Techniques: Control, Clinical Proteomics, Injection, Staining

IRAP-deficient mice exhibit a diminished degranulation response and cytokine/chemokine production in BMMCs and PDMCs. WT and IRAP-deficient (IRAP KO ) BMMCs (A, C) and PDMCs (B, D) were sensitized with anti-DNP IgE. (A, B) Degranulation was monitored by flow cytometry determining CD63 expression (% expression is indicated) as a surrogate marker of mast cell degranulation 10 min after addition of PBS (basal expression) or antigen (30 ng/mL of DNP-HSA). A representative experiment (left panel) and the quantitative analysis of indicated number of experiments are shown (right panel). (C, D) Degranulation was also determined by measuring the net release of the granular enzyme β-hexosaminidase in BMMCs and PDMCs after stimulation with IgE/Ag for 45 minutes in indicated number of experiments. (E) IgE-sensitized BMMCs were also evaluated for their ability to secrete CCL2 and IL6 after stimulation with IgE/Ag for 60 and 120 min as indicated. Data shown in (A–D) are the mean ± s.e.m of indicated experiments. Statistical analysis was done using an unpaired Student’s t test. Data in (E) have been normalized by setting WT values to 1. The range of maximal release was between 2,3 to 83,2 ng/mL for CCL-2 and 61,7 to 3781 pg/mL for IL-6. Statistical analysis was done using a Wilcoxon Test. No differences in basal secretion in the absence of Ag was noted between the genotypes: CCL2 WT 1,95 ± 0,98 ng/mL; IRAP KO 2,46 ± 0,63 ng/mL; p = 0,75 and IL6 WT 9,5 ± 6,6 pg/mL; IRAP KO 5,6 ± 4,0 pg/mL; p = 0,63; unpaired Student’s t test; *: P < 0.05; **: P < 0.01.

Journal: Frontiers in Immunology

Article Title: Insulin-regulated aminopeptidase contributes to setting the intensity of FcR-mediated inflammation

doi: 10.3389/fimmu.2022.1029759

Figure Lengend Snippet: IRAP-deficient mice exhibit a diminished degranulation response and cytokine/chemokine production in BMMCs and PDMCs. WT and IRAP-deficient (IRAP KO ) BMMCs (A, C) and PDMCs (B, D) were sensitized with anti-DNP IgE. (A, B) Degranulation was monitored by flow cytometry determining CD63 expression (% expression is indicated) as a surrogate marker of mast cell degranulation 10 min after addition of PBS (basal expression) or antigen (30 ng/mL of DNP-HSA). A representative experiment (left panel) and the quantitative analysis of indicated number of experiments are shown (right panel). (C, D) Degranulation was also determined by measuring the net release of the granular enzyme β-hexosaminidase in BMMCs and PDMCs after stimulation with IgE/Ag for 45 minutes in indicated number of experiments. (E) IgE-sensitized BMMCs were also evaluated for their ability to secrete CCL2 and IL6 after stimulation with IgE/Ag for 60 and 120 min as indicated. Data shown in (A–D) are the mean ± s.e.m of indicated experiments. Statistical analysis was done using an unpaired Student’s t test. Data in (E) have been normalized by setting WT values to 1. The range of maximal release was between 2,3 to 83,2 ng/mL for CCL-2 and 61,7 to 3781 pg/mL for IL-6. Statistical analysis was done using a Wilcoxon Test. No differences in basal secretion in the absence of Ag was noted between the genotypes: CCL2 WT 1,95 ± 0,98 ng/mL; IRAP KO 2,46 ± 0,63 ng/mL; p = 0,75 and IL6 WT 9,5 ± 6,6 pg/mL; IRAP KO 5,6 ± 4,0 pg/mL; p = 0,63; unpaired Student’s t test; *: P < 0.05; **: P < 0.01.

Article Snippet: Abs used: IRAP (D7C5) XP ® Rabbit mAb (Cell signaling #6918S), LifeSpan Bioscience.

Techniques: Flow Cytometry, Expressing, Marker

IRAP rapidly relocates to the plasma membrane and partly colocalizes with IgE after stimulation of mast cells with Ag. (A) WT BMMCs were sensitized with anti-DNP IgE and were then plated on fibronectin-coated glass coverslips. Cells were stimulated for indicated time points with antigen DNP-HSA. After fixation and permeabilization cells were stained with DAPI (blue), anti-IgE (green) and anti-IRAP (red) and analyzed by confocal microscopy. Images show representative sections with multiple cells for IgE and IRAP single staining as well as the merge of all colors. In the merge an insert with an enlarged cell is shown to evidence colocalization. (B) Quantitative analysis of plasma membrane recruitment was determined as described in Materials & Methods. (C) Quantitative analysis of colocalization of IRAP and IgE at the plasma membrane (PM) or (D) intracellularly following internalization of FcεRI-bound IgE. Note that internalization of FcεRI-bound IgE starts at 15 min. (B, C, D) Statistical analysis for plasma membrane recruitment and colocalization of IgE with IRAP was done using the one-way ANOVA followed by a Kruskal Willis post-test. Data shown are presented as the mean ± s.e.m of indicated individual cells (pooled from 3 experiments). *: P < 0.05; **: P < 0.01; ***: P < 0.001; ****: P < 0.0001.

Journal: Frontiers in Immunology

Article Title: Insulin-regulated aminopeptidase contributes to setting the intensity of FcR-mediated inflammation

doi: 10.3389/fimmu.2022.1029759

Figure Lengend Snippet: IRAP rapidly relocates to the plasma membrane and partly colocalizes with IgE after stimulation of mast cells with Ag. (A) WT BMMCs were sensitized with anti-DNP IgE and were then plated on fibronectin-coated glass coverslips. Cells were stimulated for indicated time points with antigen DNP-HSA. After fixation and permeabilization cells were stained with DAPI (blue), anti-IgE (green) and anti-IRAP (red) and analyzed by confocal microscopy. Images show representative sections with multiple cells for IgE and IRAP single staining as well as the merge of all colors. In the merge an insert with an enlarged cell is shown to evidence colocalization. (B) Quantitative analysis of plasma membrane recruitment was determined as described in Materials & Methods. (C) Quantitative analysis of colocalization of IRAP and IgE at the plasma membrane (PM) or (D) intracellularly following internalization of FcεRI-bound IgE. Note that internalization of FcεRI-bound IgE starts at 15 min. (B, C, D) Statistical analysis for plasma membrane recruitment and colocalization of IgE with IRAP was done using the one-way ANOVA followed by a Kruskal Willis post-test. Data shown are presented as the mean ± s.e.m of indicated individual cells (pooled from 3 experiments). *: P < 0.05; **: P < 0.01; ***: P < 0.001; ****: P < 0.0001.

Article Snippet: Abs used: IRAP (D7C5) XP ® Rabbit mAb (Cell signaling #6918S), LifeSpan Bioscience.

Techniques: Clinical Proteomics, Membrane, Staining, Confocal Microscopy

Diminished phosphorylation response of signaling effectors in FcεRI-stimulated BMMCs and IgG stimulated neutrophils and monocytes in the context of IRAP-deficiency. (A–C) WT and IRAP-deficient (IRAP KO ) BMMCs were sensitized with anti-DNP IgE for 24 hours before stimulating them with specific antigen (DNP-HSA). After indicated time points, stimulation was arrested by adding fixation and permeabilization buffer. Phosflow analysis of signaling effectors (left panel) was assessed using anti-pSyk Y519/520 (A) , anti-pLAT Y200 (B) and anti-pp38 Y182 (C) . Total levels of proteins in non-stimulated cells were also analyzed using anti-Syk, anti-LAT and anti p38 (right panels). Phosphorylation levels were determined as the ratio of the gMFI of samples divided by the gMFI of the FMO of the respective sample and represent the mean ± s.e.m of indicated experiments. Statistical analysis was done using a Student’s test. (D, E) Phosflow analysis of Syk phosphorylation at Y 519/520 was also determined on ex vivo IgG-stimulated neutrophils and monocytes during ASA. Cells were accessed directly from the blood 5 min after initiation of ASA. The gating strategies for analysis of BMMCs, neutrophils and monocytes and representative examples of Ab staining are shown, respectively, in ( <xref ref-type= Supplementary Figures 2B, C ). Data shown are analyzed as in (A–C) and presented as the mean ± s.e.m of indicated experiments. Statistical analysis was done using a Student’s test. *: P < 0.05; **: P < 0.01; *** P < 0.001. ns, not significant. " width="100%" height="100%">

Journal: Frontiers in Immunology

Article Title: Insulin-regulated aminopeptidase contributes to setting the intensity of FcR-mediated inflammation

doi: 10.3389/fimmu.2022.1029759

Figure Lengend Snippet: Diminished phosphorylation response of signaling effectors in FcεRI-stimulated BMMCs and IgG stimulated neutrophils and monocytes in the context of IRAP-deficiency. (A–C) WT and IRAP-deficient (IRAP KO ) BMMCs were sensitized with anti-DNP IgE for 24 hours before stimulating them with specific antigen (DNP-HSA). After indicated time points, stimulation was arrested by adding fixation and permeabilization buffer. Phosflow analysis of signaling effectors (left panel) was assessed using anti-pSyk Y519/520 (A) , anti-pLAT Y200 (B) and anti-pp38 Y182 (C) . Total levels of proteins in non-stimulated cells were also analyzed using anti-Syk, anti-LAT and anti p38 (right panels). Phosphorylation levels were determined as the ratio of the gMFI of samples divided by the gMFI of the FMO of the respective sample and represent the mean ± s.e.m of indicated experiments. Statistical analysis was done using a Student’s test. (D, E) Phosflow analysis of Syk phosphorylation at Y 519/520 was also determined on ex vivo IgG-stimulated neutrophils and monocytes during ASA. Cells were accessed directly from the blood 5 min after initiation of ASA. The gating strategies for analysis of BMMCs, neutrophils and monocytes and representative examples of Ab staining are shown, respectively, in ( Supplementary Figures 2B, C ). Data shown are analyzed as in (A–C) and presented as the mean ± s.e.m of indicated experiments. Statistical analysis was done using a Student’s test. *: P < 0.05; **: P < 0.01; *** P < 0.001. ns, not significant.

Article Snippet: Abs used: IRAP (D7C5) XP ® Rabbit mAb (Cell signaling #6918S), LifeSpan Bioscience.

Techniques: Phospho-proteomics, Ex Vivo, Staining

IRAP-deficient BMMCs show diminished phosphorylation of Syk at the plasma membrane where it colocalizes with IgE. (A) WT and IRAP-deficient (IRAP KO ) BMMCs were sensitized with anti-DNP IgE and challenged with antigen (30 ng/mL of DNP-HSA). Stimulation was arrested at indicated time points and cellular lysates were prepared in SDS sample buffer. Western Blot analysis (left panel) show pSyk staining (anti-pSyk Y519/520 ) and total Syk determined after stripping. Quantitative data (right panel) are the ratio between pSyk/Syk and were normalized by setting non stimulated values to 1. They represent the mean ± s.e.m of indicated experiments. Statistical analysis was done using the Wilcoxon test. (B) Anti-DNP IgE sensitized WT (blue) and IRAP KO BMMCs (red) were loaded with indo-1 and stimulated after addition (arrow) of 30 ng/mL of DNP-HSA. The fluorescence emission ratio for Ca 2+- bound/Ca 2+- free indo-1 was measured. Similar results were obtained in three independent experiments. (C) Anti-DNP IgE sensitized WT and IRAP KO BMMCs were plated on fibronectin-coated glass coverslips. Cells were stimulated with 30 ng/mL of DNP-HSA for indicated time points. After fixation and permeabilization cells were stained with DAPI (blue), anti-IgE (green) and anti-pSyk Y519/520 (red) as indicated. Cells were analyzed by confocal microscopy. Images show representative sections with multiple cells for IgE and pSyk Y519/520 single staining as well as the merge of all colors. In the merge an insert with an enlarged cell membrane is shown to evidence colocalization. For a complete kinetic analysis see ( <xref ref-type= Supplementary Figure 4 ) . (D) The total amount of pSyk Y519/520 in both genotypes was determined for all time points examined. (E) The amount of pSyk Y519/520 appearing at the plasma membrane within the first 15 min after stimulation was quantified. (F) The areas of colocalization between pSyk Y519/520 and IgE during the entire time of stimulation were quantified. (D–F) Data shown are presented as the mean ± s.e.m of indicated individual cells analyzed (pooled from 3 different experiments). Statistical analysis was done using the two-way ANOVA followed by Sidak’s post-hoc test. *: P < 0.05; **: P < 0.01; *** P < 0.001; **** P < 0.0001. ns, not significant. " width="100%" height="100%">

Journal: Frontiers in Immunology

Article Title: Insulin-regulated aminopeptidase contributes to setting the intensity of FcR-mediated inflammation

doi: 10.3389/fimmu.2022.1029759

Figure Lengend Snippet: IRAP-deficient BMMCs show diminished phosphorylation of Syk at the plasma membrane where it colocalizes with IgE. (A) WT and IRAP-deficient (IRAP KO ) BMMCs were sensitized with anti-DNP IgE and challenged with antigen (30 ng/mL of DNP-HSA). Stimulation was arrested at indicated time points and cellular lysates were prepared in SDS sample buffer. Western Blot analysis (left panel) show pSyk staining (anti-pSyk Y519/520 ) and total Syk determined after stripping. Quantitative data (right panel) are the ratio between pSyk/Syk and were normalized by setting non stimulated values to 1. They represent the mean ± s.e.m of indicated experiments. Statistical analysis was done using the Wilcoxon test. (B) Anti-DNP IgE sensitized WT (blue) and IRAP KO BMMCs (red) were loaded with indo-1 and stimulated after addition (arrow) of 30 ng/mL of DNP-HSA. The fluorescence emission ratio for Ca 2+- bound/Ca 2+- free indo-1 was measured. Similar results were obtained in three independent experiments. (C) Anti-DNP IgE sensitized WT and IRAP KO BMMCs were plated on fibronectin-coated glass coverslips. Cells were stimulated with 30 ng/mL of DNP-HSA for indicated time points. After fixation and permeabilization cells were stained with DAPI (blue), anti-IgE (green) and anti-pSyk Y519/520 (red) as indicated. Cells were analyzed by confocal microscopy. Images show representative sections with multiple cells for IgE and pSyk Y519/520 single staining as well as the merge of all colors. In the merge an insert with an enlarged cell membrane is shown to evidence colocalization. For a complete kinetic analysis see ( Supplementary Figure 4 ) . (D) The total amount of pSyk Y519/520 in both genotypes was determined for all time points examined. (E) The amount of pSyk Y519/520 appearing at the plasma membrane within the first 15 min after stimulation was quantified. (F) The areas of colocalization between pSyk Y519/520 and IgE during the entire time of stimulation were quantified. (D–F) Data shown are presented as the mean ± s.e.m of indicated individual cells analyzed (pooled from 3 different experiments). Statistical analysis was done using the two-way ANOVA followed by Sidak’s post-hoc test. *: P < 0.05; **: P < 0.01; *** P < 0.001; **** P < 0.0001. ns, not significant.

Article Snippet: Abs used: IRAP (D7C5) XP ® Rabbit mAb (Cell signaling #6918S), LifeSpan Bioscience.

Techniques: Phospho-proteomics, Clinical Proteomics, Membrane, Western Blot, Staining, Stripping Membranes, Fluorescence, Confocal Microscopy

Absence of IRAP does not affect early signaling events mediated by Lyn kinase. (A) IgE-sensitized WT and IRAP-deficient (IRAP KO ) BMMCs were either not stimulated or stimulated with antigen (30 ng/mL of DNP-HSA) before being lysed and immunoprecipitated with anti-FcεRIβ chain mAb. Levels of co-immunoprecipitated phospho-β chain (**) and phospho-γ chain (*) in non-reduced gels were determined using anti-phospho-tyrosine (PY20) Ab. Total immunoprecipitated FcεRI receptors were determined after stripping and reblotting with anti-FcεRβ chain mAb. A representative blot and quantitative analysis of indicated number of experiments are shown in the left and right panels, respectively. Statistical analysis was done using a Student’s t-test. (B) WT and IRAP-deficient (IRAP KO ) BMMCs were sensitized with anti-DNP IgE and were then plated on fibronectin-coated glass coverslips. Cells were stimulated with 30 ng/mL of DNP-HSA for indicated time points. After fixation and permeabilization cells were stained with DAPI (blue), anti-IgE (green) and anti-Lyn (red) Abs as indicated. Cells were analyzed by confocal microscopy. Images show representative sections (out of 2 experiments) with multiple cells for IgE and Lyn single staining as well as the merge of all colors. ns, not significant.

Journal: Frontiers in Immunology

Article Title: Insulin-regulated aminopeptidase contributes to setting the intensity of FcR-mediated inflammation

doi: 10.3389/fimmu.2022.1029759

Figure Lengend Snippet: Absence of IRAP does not affect early signaling events mediated by Lyn kinase. (A) IgE-sensitized WT and IRAP-deficient (IRAP KO ) BMMCs were either not stimulated or stimulated with antigen (30 ng/mL of DNP-HSA) before being lysed and immunoprecipitated with anti-FcεRIβ chain mAb. Levels of co-immunoprecipitated phospho-β chain (**) and phospho-γ chain (*) in non-reduced gels were determined using anti-phospho-tyrosine (PY20) Ab. Total immunoprecipitated FcεRI receptors were determined after stripping and reblotting with anti-FcεRβ chain mAb. A representative blot and quantitative analysis of indicated number of experiments are shown in the left and right panels, respectively. Statistical analysis was done using a Student’s t-test. (B) WT and IRAP-deficient (IRAP KO ) BMMCs were sensitized with anti-DNP IgE and were then plated on fibronectin-coated glass coverslips. Cells were stimulated with 30 ng/mL of DNP-HSA for indicated time points. After fixation and permeabilization cells were stained with DAPI (blue), anti-IgE (green) and anti-Lyn (red) Abs as indicated. Cells were analyzed by confocal microscopy. Images show representative sections (out of 2 experiments) with multiple cells for IgE and Lyn single staining as well as the merge of all colors. ns, not significant.

Article Snippet: Abs used: IRAP (D7C5) XP ® Rabbit mAb (Cell signaling #6918S), LifeSpan Bioscience.

Techniques: Immunoprecipitation, Stripping Membranes, Staining, Confocal Microscopy

IRAP-deficient cells show less SHP1-inactivating phosphorylation on Ser591. (A) Anti-DNP IgE sensitized WT and IRAP-deficient (IRAP KO ) BMMCs were stimulated with specific antigen (30 ng/mL of DNP-HSA) for indicated time points and levels of the SHP1 S591 phosphorylation response were determined at indicated time points by phosflow analysis using anti-SHP1 S591 (left panel). Total levels of proteins of resting cells were analyzed using anti-SHP1 (right panel). (B, C) SHP1 phosphorylation on Ser591 was also determined on IgG-stimulated neutrophils (B) and monocytes (C) during ASA analyzed ex vivo using phosflow analysis. Cells were accessed directly from the blood 5 min after initiation of ASA. The gating strategies for analysis of BMMCs, neutrophils and monocytes and representative examples of Ab staining are shown, respectively in ( <xref ref-type= Supplementary Figures 2B, C ). Phosphorylation levels in (A–C) were determined as the ratio of the gMFI of samples divided by the gMFI of the Isotype of the respective sample and represent the mean ± s.e.m of indicated experiments. Statistical analysis was done using a Student’s test. *: P < 0.05; **: P < 0.01; ns, not significant. " width="100%" height="100%">

Journal: Frontiers in Immunology

Article Title: Insulin-regulated aminopeptidase contributes to setting the intensity of FcR-mediated inflammation

doi: 10.3389/fimmu.2022.1029759

Figure Lengend Snippet: IRAP-deficient cells show less SHP1-inactivating phosphorylation on Ser591. (A) Anti-DNP IgE sensitized WT and IRAP-deficient (IRAP KO ) BMMCs were stimulated with specific antigen (30 ng/mL of DNP-HSA) for indicated time points and levels of the SHP1 S591 phosphorylation response were determined at indicated time points by phosflow analysis using anti-SHP1 S591 (left panel). Total levels of proteins of resting cells were analyzed using anti-SHP1 (right panel). (B, C) SHP1 phosphorylation on Ser591 was also determined on IgG-stimulated neutrophils (B) and monocytes (C) during ASA analyzed ex vivo using phosflow analysis. Cells were accessed directly from the blood 5 min after initiation of ASA. The gating strategies for analysis of BMMCs, neutrophils and monocytes and representative examples of Ab staining are shown, respectively in ( Supplementary Figures 2B, C ). Phosphorylation levels in (A–C) were determined as the ratio of the gMFI of samples divided by the gMFI of the Isotype of the respective sample and represent the mean ± s.e.m of indicated experiments. Statistical analysis was done using a Student’s test. *: P < 0.05; **: P < 0.01; ns, not significant.

Article Snippet: Abs used: IRAP (D7C5) XP ® Rabbit mAb (Cell signaling #6918S), LifeSpan Bioscience.

Techniques: Phospho-proteomics, Ex Vivo, Staining

Loss of BATF impairs Th17 differentiation. ( A ) Rpkm values are plotted for BATF RNA at different time points of activation (Th0) or Th17-differentiation, using our published RNA-seq data . ( B ) Immunoblot (left) shows BATF protein levels in SCR versus BATF KD cells, at 24 h of Th17 polarization. Actin serves as loading control. Adjoining flow cytometry plots show percentage of CCR6 positive cells and the graph below shows ELISA analysis for IL-17 secretion in SCR versus BATF KD cells, at 72 h of Th17 polarization. ELISA values were first normalized for cell count (live), and then normalized to SCR control. Graph shows mean ± SEM for three biological replicates. Statistical significance was calculated using two-tailed Student's t test (** p < 0.01). ( C ) Volcano plots highlight the significantly upregulated (in red) and downregulated (in blue) genes in BATF-silenced Th17 cells at 24 h (left) and 72 h (right) of polarization (FDR ≤ 0.1, |FC| ≥ 1.8). DE genes with relevance to Th17 function are shown (extended DE gene list shown in ). ( D ) IPA was used to identify pathways altered upon silencing of BATF in Th17-polarized cells (24 h and 72 h). The top pathways related to T-cells and immune signaling are selectively shown. ( E ) Venn diagram shows the overlap between the genes that are altered upon BATF KD and the genes whose putative promoter regions (5-kb window around the TSS) are bound by BATF. The overlapping area represents the promoter-bound regulatory targets of BATF and the adjoining heatmap shows their corresponding expression changes in BATF KD Th17 cells. IGV images illustrate the occupancy of BATF over some of its Th17-associated targets. ( F ) Figure shows the topmost consensus sequence for genomic-binding of BATF, and the top six TF motifs enriched within BATF-bound sites, which were obtained using de-novo motif enrichment analysis by Homer. Peaks with IDR p value <0.01 were used for motif discovery.

Journal: Nucleic Acids Research

Article Title: A systematic comparison of FOSL1, FOSL2 and BATF-mediated transcriptional regulation during early human Th17 differentiation

doi: 10.1093/nar/gkac256

Figure Lengend Snippet: Loss of BATF impairs Th17 differentiation. ( A ) Rpkm values are plotted for BATF RNA at different time points of activation (Th0) or Th17-differentiation, using our published RNA-seq data . ( B ) Immunoblot (left) shows BATF protein levels in SCR versus BATF KD cells, at 24 h of Th17 polarization. Actin serves as loading control. Adjoining flow cytometry plots show percentage of CCR6 positive cells and the graph below shows ELISA analysis for IL-17 secretion in SCR versus BATF KD cells, at 72 h of Th17 polarization. ELISA values were first normalized for cell count (live), and then normalized to SCR control. Graph shows mean ± SEM for three biological replicates. Statistical significance was calculated using two-tailed Student's t test (** p < 0.01). ( C ) Volcano plots highlight the significantly upregulated (in red) and downregulated (in blue) genes in BATF-silenced Th17 cells at 24 h (left) and 72 h (right) of polarization (FDR ≤ 0.1, |FC| ≥ 1.8). DE genes with relevance to Th17 function are shown (extended DE gene list shown in ). ( D ) IPA was used to identify pathways altered upon silencing of BATF in Th17-polarized cells (24 h and 72 h). The top pathways related to T-cells and immune signaling are selectively shown. ( E ) Venn diagram shows the overlap between the genes that are altered upon BATF KD and the genes whose putative promoter regions (5-kb window around the TSS) are bound by BATF. The overlapping area represents the promoter-bound regulatory targets of BATF and the adjoining heatmap shows their corresponding expression changes in BATF KD Th17 cells. IGV images illustrate the occupancy of BATF over some of its Th17-associated targets. ( F ) Figure shows the topmost consensus sequence for genomic-binding of BATF, and the top six TF motifs enriched within BATF-bound sites, which were obtained using de-novo motif enrichment analysis by Homer. Peaks with IDR p value <0.01 were used for motif discovery.

Article Snippet: FOSL1, FOSL2 and BATF protein was analysed by western blotting using rabbit monoclonal FOSL1 antibody (D80B4), rabbit monoclonal FOSL2 antibody (D2F1E) and rabbit monoclonal BATF antibody (D7C5) from Cell Signaling Technology.

Techniques: Activation Assay, RNA Sequencing, Western Blot, Control, Flow Cytometry, Enzyme-linked Immunosorbent Assay, Cell Counting, Two Tailed Test, Expressing, Sequencing, Binding Assay

Comparing transcriptional targets and genomic binding sites of FOSL proteins with BATF. ( A ) Heatmap on the top shows logarithmic FC values for the DE genes that show opposite expression changes in FOSL DKD and BATF KD Th17 cells, at the indicated time points of differentiation. Heatmap in the bottom panel depicts the DE genes that show similar expression changes in FOSL DOE and BATF KD Th17 cells. Th17-related genes are highlighted in red. ( B ) ChIP-seq profiles of FOSL1, FOSL2 and BATF in Th17 cells. Graph (above) shows the overlay between the peak distribution profiles of the three TFs. Bar plot (below) depicts peak-annotation results for their identified binding sites. ( C ) Heatmap with k-means clustering shows the ChIP-seq signal intensities ± 2-kb around the centers of the genomic-binding regions of FOSL1, FOSL2 and BATF. ( D ) Venn diagram shows an overlap between the genomic binding sites of FOSL1, FOSL2 and BATF (overlap represents peaks sharing 200 bp or more). Adjoining heatmap depicts Log2FC values for the gene targets that are co-bound and oppositely regulated by FOSL proteins and BATF, at the given time points of Th17 differentiation. Genes showing shared occupancy of the three factors over promoter regions have been marked (*asterisk). Th17-related targets are highlighted. ( E ) IGV track snapshots illustrate the co-localization of FOSL1, FOSL2 and BATF over selected Th17-linked genes. The profile of H3K27ac histone mark around the shared binding sites of the three factors is shown. ( F ) Bar plot depicts immunoblot-based expression analysis of STAT4 in FOSL DKD (left) and BATF KD (right) Th17 cells, cultured for 72 h. Data shows mean ± SEM for three or four biological replicates, as indicated. Statistical significance is calculated using two-tailed Student's t test (* p < 0.05). Adjoining IGV track shows the binding overlap of FOSL1, FOSL2 and BATF, flanked by H3K27ac marks near the STAT4 locus.

Journal: Nucleic Acids Research

Article Title: A systematic comparison of FOSL1, FOSL2 and BATF-mediated transcriptional regulation during early human Th17 differentiation

doi: 10.1093/nar/gkac256

Figure Lengend Snippet: Comparing transcriptional targets and genomic binding sites of FOSL proteins with BATF. ( A ) Heatmap on the top shows logarithmic FC values for the DE genes that show opposite expression changes in FOSL DKD and BATF KD Th17 cells, at the indicated time points of differentiation. Heatmap in the bottom panel depicts the DE genes that show similar expression changes in FOSL DOE and BATF KD Th17 cells. Th17-related genes are highlighted in red. ( B ) ChIP-seq profiles of FOSL1, FOSL2 and BATF in Th17 cells. Graph (above) shows the overlay between the peak distribution profiles of the three TFs. Bar plot (below) depicts peak-annotation results for their identified binding sites. ( C ) Heatmap with k-means clustering shows the ChIP-seq signal intensities ± 2-kb around the centers of the genomic-binding regions of FOSL1, FOSL2 and BATF. ( D ) Venn diagram shows an overlap between the genomic binding sites of FOSL1, FOSL2 and BATF (overlap represents peaks sharing 200 bp or more). Adjoining heatmap depicts Log2FC values for the gene targets that are co-bound and oppositely regulated by FOSL proteins and BATF, at the given time points of Th17 differentiation. Genes showing shared occupancy of the three factors over promoter regions have been marked (*asterisk). Th17-related targets are highlighted. ( E ) IGV track snapshots illustrate the co-localization of FOSL1, FOSL2 and BATF over selected Th17-linked genes. The profile of H3K27ac histone mark around the shared binding sites of the three factors is shown. ( F ) Bar plot depicts immunoblot-based expression analysis of STAT4 in FOSL DKD (left) and BATF KD (right) Th17 cells, cultured for 72 h. Data shows mean ± SEM for three or four biological replicates, as indicated. Statistical significance is calculated using two-tailed Student's t test (* p < 0.05). Adjoining IGV track shows the binding overlap of FOSL1, FOSL2 and BATF, flanked by H3K27ac marks near the STAT4 locus.

Article Snippet: FOSL1, FOSL2 and BATF protein was analysed by western blotting using rabbit monoclonal FOSL1 antibody (D80B4), rabbit monoclonal FOSL2 antibody (D2F1E) and rabbit monoclonal BATF antibody (D7C5) from Cell Signaling Technology.

Techniques: Binding Assay, Expressing, ChIP-sequencing, Western Blot, Cell Culture, Two Tailed Test

BATF and FOSL proteins show common interacting partners in Th17 cells. ( A ) Figure illustrates the common binding partners of FOSL1 and FOSL2 in Th17 cells (72 h), based on data acquired from our recent study . Interactors having reported roles in T-cell function are shown. ( B ) STRING network analysis of human BATF. Width of lines between the nodes indicate confidence values for each protein-protein association. Interactions with a minimum score of 0.7 are shown (high confidence). ( C ) BATF was immunoprecipitated using 72 h-polarized Th17 cultures. Immunoblotting was then used to analyse its interaction with selected (shared) binding partners of FOSL1 and FOSL2 (JUNB, SIRT-1, JUN and RUNX1). Data is shown for three biological replicates. Immunoblot for BATF confirms immunoprecipitation of the factor.

Journal: Nucleic Acids Research

Article Title: A systematic comparison of FOSL1, FOSL2 and BATF-mediated transcriptional regulation during early human Th17 differentiation

doi: 10.1093/nar/gkac256

Figure Lengend Snippet: BATF and FOSL proteins show common interacting partners in Th17 cells. ( A ) Figure illustrates the common binding partners of FOSL1 and FOSL2 in Th17 cells (72 h), based on data acquired from our recent study . Interactors having reported roles in T-cell function are shown. ( B ) STRING network analysis of human BATF. Width of lines between the nodes indicate confidence values for each protein-protein association. Interactions with a minimum score of 0.7 are shown (high confidence). ( C ) BATF was immunoprecipitated using 72 h-polarized Th17 cultures. Immunoblotting was then used to analyse its interaction with selected (shared) binding partners of FOSL1 and FOSL2 (JUNB, SIRT-1, JUN and RUNX1). Data is shown for three biological replicates. Immunoblot for BATF confirms immunoprecipitation of the factor.

Article Snippet: FOSL1, FOSL2 and BATF protein was analysed by western blotting using rabbit monoclonal FOSL1 antibody (D80B4), rabbit monoclonal FOSL2 antibody (D2F1E) and rabbit monoclonal BATF antibody (D7C5) from Cell Signaling Technology.

Techniques: Binding Assay, Cell Function Assay, Immunoprecipitation, Western Blot

SNPs associated with autoimmune diseases localize within the genomic binding sites of FOSL1, FOSL2 and BATF. ( A ) Enrichment of disease-associated SNPs (or their proxies in Caucasian populations) within FOSL1, FOSL2 and BATF genomic-binding sites, relative to random sets of background SNPs. ( B ) SNPs relevant to the study were shortlisted . Of these, the SNPs that were functionally validated in DNA-affinity precipitation assays are shown. ( C, D ) DAPA followed by immunoblot analysis shows the SNPs that alter the binding of FOSL1, FOSL2 or BATF to their genomic sites (identified by ChIP-seq analysis). Wildtype (WT) oligonucleotides containing the binding motifs of these TFs (at different genomic loci), and mutant oligonucleotides harbouring a SNP within the binding motif, were used as baits for pull-down of the corresponding AP-1 factor from 72 h Th17-polarized cell lysates. For experimental controls, an oligonucleotide with a conserved binding sequence for BATF (BATF WT), and the corresponding mutated sequence which is known to disrupt BATF occupancy (BATF MUT) were used. Panel C includes SNPs affecting the binding of either FOSL1, FOSL2 or BATF. Those SNPs at the common binding sites of the three factors which also alter the binding affinities for all of them are shown in panel D. The common SNPs harboured within consensus AP-1 motifs are labelled. Data is representative of three biological replicates.

Journal: Nucleic Acids Research

Article Title: A systematic comparison of FOSL1, FOSL2 and BATF-mediated transcriptional regulation during early human Th17 differentiation

doi: 10.1093/nar/gkac256

Figure Lengend Snippet: SNPs associated with autoimmune diseases localize within the genomic binding sites of FOSL1, FOSL2 and BATF. ( A ) Enrichment of disease-associated SNPs (or their proxies in Caucasian populations) within FOSL1, FOSL2 and BATF genomic-binding sites, relative to random sets of background SNPs. ( B ) SNPs relevant to the study were shortlisted . Of these, the SNPs that were functionally validated in DNA-affinity precipitation assays are shown. ( C, D ) DAPA followed by immunoblot analysis shows the SNPs that alter the binding of FOSL1, FOSL2 or BATF to their genomic sites (identified by ChIP-seq analysis). Wildtype (WT) oligonucleotides containing the binding motifs of these TFs (at different genomic loci), and mutant oligonucleotides harbouring a SNP within the binding motif, were used as baits for pull-down of the corresponding AP-1 factor from 72 h Th17-polarized cell lysates. For experimental controls, an oligonucleotide with a conserved binding sequence for BATF (BATF WT), and the corresponding mutated sequence which is known to disrupt BATF occupancy (BATF MUT) were used. Panel C includes SNPs affecting the binding of either FOSL1, FOSL2 or BATF. Those SNPs at the common binding sites of the three factors which also alter the binding affinities for all of them are shown in panel D. The common SNPs harboured within consensus AP-1 motifs are labelled. Data is representative of three biological replicates.

Article Snippet: FOSL1, FOSL2 and BATF protein was analysed by western blotting using rabbit monoclonal FOSL1 antibody (D80B4), rabbit monoclonal FOSL2 antibody (D2F1E) and rabbit monoclonal BATF antibody (D7C5) from Cell Signaling Technology.

Techniques: Binding Assay, Affinity Precipitation, Western Blot, ChIP-sequencing, Mutagenesis, Sequencing

KEY RESOURCES TABLE

Journal: Immunity

Article Title: Negative costimulation constrains T cell differentiation by imposing boundaries on possible cell states

doi: 10.1016/j.immuni.2019.03.004

Figure Lengend Snippet: KEY RESOURCES TABLE

Article Snippet: anti-BATF 154Sm , Fluidigm , Cat #:3154012A; Clone:D7C5.

Techniques: Virus, Recombinant, Adjuvant, Polymer, Conjugation Assay, Staining, Mass Cytometry, Sequencing, Transgenic Assay, Double Knockout, Software

( A and B ) Immunoblot shows BATF protein levels in control (SCR) versus BATF KD Th17 cells at 24h of differentiation. Adjoining flow cytometry plots depict the percentage of CCR6 positive cells in the indicated conditions, at 72h of Th17 polarization. Panel B shows ELISA analysis for secreted IL-17A levels in SCR versus BATF KD Th17 cells (72h). ELISA values were first normalized to live cell count, followed by normalization with SCR. Graph shows mean ± SEM for three biological replicates. Statistical significance was calculated using two-tailed Student’s t test (**p < 0.01). ( C ) Volcano plots highlight the significantly upregulated (red) and downregulated (blue) genes in BATF-silenced Th17 cells at 24h [left] and 72h [right] of polarization (FDR ≤ 0.1, |fold change| ≥ 1.8). DE genes with relevance to Th17 function are shown. ( D ) IPA was used to identify pathways altered upon silencing of BATF in Th17-polarized cells. ( E ) ChIP-seq analysis was performed for BATF using Th17 cells cultured for 72h. Figure shows distribution of BATF binding sites relative to the position of the closest transcription start site (TSS). TSS is defined to be at position zero. ( F ) The topmost consensus sequence for genomic-binding of BATF and the top six TF motifs enriched within BATF-bound sites, were obtained using de-novo motif enrichment analysis by Homer. Peaks with IDR p value < 0.01 were used for motif discovery. ( G ) Venn diagram shows the overlap between the genes that are altered upon BATF KD and the genes whose promoters are bound by BATF (5-kb around TSS). The overlapping area represents the promoter-bound regulatory targets of BATF and the adjoining heatmap shows their corresponding logarithmic fold change values in BATF KD Th17 cells. IGV images illustrate the occupancy of BATF over some of its Th17-associated targets.

Journal: bioRxiv

Article Title: The AP-1 factors FOSL1 and FOSL2 co-regulate human Th17 responses

doi: 10.1101/2021.04.26.441472

Figure Lengend Snippet: ( A and B ) Immunoblot shows BATF protein levels in control (SCR) versus BATF KD Th17 cells at 24h of differentiation. Adjoining flow cytometry plots depict the percentage of CCR6 positive cells in the indicated conditions, at 72h of Th17 polarization. Panel B shows ELISA analysis for secreted IL-17A levels in SCR versus BATF KD Th17 cells (72h). ELISA values were first normalized to live cell count, followed by normalization with SCR. Graph shows mean ± SEM for three biological replicates. Statistical significance was calculated using two-tailed Student’s t test (**p < 0.01). ( C ) Volcano plots highlight the significantly upregulated (red) and downregulated (blue) genes in BATF-silenced Th17 cells at 24h [left] and 72h [right] of polarization (FDR ≤ 0.1, |fold change| ≥ 1.8). DE genes with relevance to Th17 function are shown. ( D ) IPA was used to identify pathways altered upon silencing of BATF in Th17-polarized cells. ( E ) ChIP-seq analysis was performed for BATF using Th17 cells cultured for 72h. Figure shows distribution of BATF binding sites relative to the position of the closest transcription start site (TSS). TSS is defined to be at position zero. ( F ) The topmost consensus sequence for genomic-binding of BATF and the top six TF motifs enriched within BATF-bound sites, were obtained using de-novo motif enrichment analysis by Homer. Peaks with IDR p value < 0.01 were used for motif discovery. ( G ) Venn diagram shows the overlap between the genes that are altered upon BATF KD and the genes whose promoters are bound by BATF (5-kb around TSS). The overlapping area represents the promoter-bound regulatory targets of BATF and the adjoining heatmap shows their corresponding logarithmic fold change values in BATF KD Th17 cells. IGV images illustrate the occupancy of BATF over some of its Th17-associated targets.

Article Snippet: FOSL1, FOSL2 and BATF protein was analyzed by western blotting using rabbit monoclonal FOSL1 antibody (D80B4; 1:500), rabbit monoclonal FOSL2 antibody (D2F1E; 1:1000) and rabbit monoclonal BATF antibody (D7C5; 1:1000) from Cell Signaling Technology.

Techniques: Western Blot, Control, Flow Cytometry, Enzyme-linked Immunosorbent Assay, Cell Counting, Two Tailed Test, ChIP-sequencing, Cell Culture, Binding Assay, Sequencing

( A ) Heatmaps show top DE genes (FDR ≤ 0.1, |fold change| ≥ 1.8) in BATF-silenced Th17 cells at 24h [left] and 72h [right] of polarization. Scaled expression values are plotted and genes associated with Th17 cell-function are highlighted (upregulated genes are in red, downregulated genes in blue). ( B and C ) Panel B shows flow cytometry analysis for percentage of CCR6 positive cells in non-targeting versus BATF-silenced Th17 cells, at 72h of polarization. Panel C depicts qRT-PCR analysis for IL-17A [left] and IL-17F [right] transcript levels under the mentioned conditions. Data shows mean ± SEM for three biological replicates. Statistical significance was calculated using two-tailed Student’s t test (*p < 0.05; **p < 0.01). ( D ) Western blot analysis shows STAT4, RORC and BATF protein levels in non-targeting versus BATF KD Th17 cells, at 72h of polarization. Data for three biological replicates is shown and the quantified bar plot is provided as a part of .

Journal: bioRxiv

Article Title: The AP-1 factors FOSL1 and FOSL2 co-regulate human Th17 responses

doi: 10.1101/2021.04.26.441472

Figure Lengend Snippet: ( A ) Heatmaps show top DE genes (FDR ≤ 0.1, |fold change| ≥ 1.8) in BATF-silenced Th17 cells at 24h [left] and 72h [right] of polarization. Scaled expression values are plotted and genes associated with Th17 cell-function are highlighted (upregulated genes are in red, downregulated genes in blue). ( B and C ) Panel B shows flow cytometry analysis for percentage of CCR6 positive cells in non-targeting versus BATF-silenced Th17 cells, at 72h of polarization. Panel C depicts qRT-PCR analysis for IL-17A [left] and IL-17F [right] transcript levels under the mentioned conditions. Data shows mean ± SEM for three biological replicates. Statistical significance was calculated using two-tailed Student’s t test (*p < 0.05; **p < 0.01). ( D ) Western blot analysis shows STAT4, RORC and BATF protein levels in non-targeting versus BATF KD Th17 cells, at 72h of polarization. Data for three biological replicates is shown and the quantified bar plot is provided as a part of .

Article Snippet: FOSL1, FOSL2 and BATF protein was analyzed by western blotting using rabbit monoclonal FOSL1 antibody (D80B4; 1:500), rabbit monoclonal FOSL2 antibody (D2F1E; 1:1000) and rabbit monoclonal BATF antibody (D7C5; 1:1000) from Cell Signaling Technology.

Techniques: Expressing, Cell Function Assay, Flow Cytometry, Quantitative RT-PCR, Two Tailed Test, Western Blot

( A ) Heatmap on the top shows logarithmic fold-change values for the DE genes that are oppositely regulated in FOSL DKD and BATF KD Th17 cells, at the indicated time points of polarization. Heatmap in the bottom panel depicts the DE genes that are similarly altered in FOSL DOE and BATF KD Th17 cells. Th17-relevant genes are highlighted in red. ( B ) Comparing the ChIP-seq profiles of FOSL1, FOSL2 and BATF in Th17 cells. Graph (above) shows the overlay between the peak distribution profiles of the three TFs. Bar plot (below) depicts peak-annotation results for their identified binding sites. ( C ) Heatmap with k-means clustering shows the ChIP-seq signal intensities ± 2-kb around the centers of the genomic-binding regions of FOSL1, FOSL2 and BATF. Th17-associated genes in the vicinity of the binding sites are highlighted within the respective clusters. ( D ) Venn diagram shows an overlap between the genomic binding sites of FOSL1, FOSL2 and BATF (overlap represents peaks sharing 200 bp or more). Adjoining heatmap depicts fold-change values for the gene targets that are co-bound and oppositely regulated by FOSL proteins and BATF. Genes showing shared occupancy of the three factors over putative-promoters have been marked (*asterisk). Th17-relevant targets are highlighted. ( E ) IGV track snapshots illustrate the co-localization of FOSL1, FOSL2 and BATF over selected Th17 genes. Profile of H3K27ac marks around the shared sites is shown. ( F ) Bar plot depicts immunoblot-based expression analysis of STAT4 in FOSL DKD [left] and BATF KD [right] Th17 cells, cultured for 72h. Data shows mean ± SEM for three or four biological replicates, as indicated. Statistical significance is calculated using two-tailed Student’s t test (*p < 0.05). Adjoining IGV track shows the binding overlap of FOSL1, FOSL2 and BATF, flanked by H3K27ac marks near the STAT4 locus.

Journal: bioRxiv

Article Title: The AP-1 factors FOSL1 and FOSL2 co-regulate human Th17 responses

doi: 10.1101/2021.04.26.441472

Figure Lengend Snippet: ( A ) Heatmap on the top shows logarithmic fold-change values for the DE genes that are oppositely regulated in FOSL DKD and BATF KD Th17 cells, at the indicated time points of polarization. Heatmap in the bottom panel depicts the DE genes that are similarly altered in FOSL DOE and BATF KD Th17 cells. Th17-relevant genes are highlighted in red. ( B ) Comparing the ChIP-seq profiles of FOSL1, FOSL2 and BATF in Th17 cells. Graph (above) shows the overlay between the peak distribution profiles of the three TFs. Bar plot (below) depicts peak-annotation results for their identified binding sites. ( C ) Heatmap with k-means clustering shows the ChIP-seq signal intensities ± 2-kb around the centers of the genomic-binding regions of FOSL1, FOSL2 and BATF. Th17-associated genes in the vicinity of the binding sites are highlighted within the respective clusters. ( D ) Venn diagram shows an overlap between the genomic binding sites of FOSL1, FOSL2 and BATF (overlap represents peaks sharing 200 bp or more). Adjoining heatmap depicts fold-change values for the gene targets that are co-bound and oppositely regulated by FOSL proteins and BATF. Genes showing shared occupancy of the three factors over putative-promoters have been marked (*asterisk). Th17-relevant targets are highlighted. ( E ) IGV track snapshots illustrate the co-localization of FOSL1, FOSL2 and BATF over selected Th17 genes. Profile of H3K27ac marks around the shared sites is shown. ( F ) Bar plot depicts immunoblot-based expression analysis of STAT4 in FOSL DKD [left] and BATF KD [right] Th17 cells, cultured for 72h. Data shows mean ± SEM for three or four biological replicates, as indicated. Statistical significance is calculated using two-tailed Student’s t test (*p < 0.05). Adjoining IGV track shows the binding overlap of FOSL1, FOSL2 and BATF, flanked by H3K27ac marks near the STAT4 locus.

Article Snippet: FOSL1, FOSL2 and BATF protein was analyzed by western blotting using rabbit monoclonal FOSL1 antibody (D80B4; 1:500), rabbit monoclonal FOSL2 antibody (D2F1E; 1:1000) and rabbit monoclonal BATF antibody (D7C5; 1:1000) from Cell Signaling Technology.

Techniques: ChIP-sequencing, Binding Assay, Western Blot, Expressing, Cell Culture, Two Tailed Test

( A ) Figure illustrates the common binding partners of FOSL1 and FOSL2 in Th17 cells (72h), based on data acquired from a parallel study of our lab ( bioRxiv ). Interactors having reported roles in T-cell function are shown. ( B ) STRING network analysis of human BATF. Width of lines between the nodes indicate confidence values for each protein-protein association. Only interactions with a minimum score of 0.7 are shown (high confidence). ( C and D ) Immunoprecipitated BATF was analyzed for its interaction with selected common binding partners of FOSL1 and FOSL2 (JUNB, SIRT-1, JUN and RUNX1), using western blotting (panel C). Additionally, BATF-interaction with STAT3 and IRF4 was analyzed to validate their previously-known association in mouse (panel D). Data is shown for three biological replicates.

Journal: bioRxiv

Article Title: The AP-1 factors FOSL1 and FOSL2 co-regulate human Th17 responses

doi: 10.1101/2021.04.26.441472

Figure Lengend Snippet: ( A ) Figure illustrates the common binding partners of FOSL1 and FOSL2 in Th17 cells (72h), based on data acquired from a parallel study of our lab ( bioRxiv ). Interactors having reported roles in T-cell function are shown. ( B ) STRING network analysis of human BATF. Width of lines between the nodes indicate confidence values for each protein-protein association. Only interactions with a minimum score of 0.7 are shown (high confidence). ( C and D ) Immunoprecipitated BATF was analyzed for its interaction with selected common binding partners of FOSL1 and FOSL2 (JUNB, SIRT-1, JUN and RUNX1), using western blotting (panel C). Additionally, BATF-interaction with STAT3 and IRF4 was analyzed to validate their previously-known association in mouse (panel D). Data is shown for three biological replicates.

Article Snippet: FOSL1, FOSL2 and BATF protein was analyzed by western blotting using rabbit monoclonal FOSL1 antibody (D80B4; 1:500), rabbit monoclonal FOSL2 antibody (D2F1E; 1:1000) and rabbit monoclonal BATF antibody (D7C5; 1:1000) from Cell Signaling Technology.

Techniques: Binding Assay, Cell Function Assay, Immunoprecipitation, Western Blot

( A ) Enrichment of disease-associated SNPs (or their proxies in Caucasian populations) within FOSL1, FOSL2 and BATF genomic-binding sites, relative to random sets of background SNPs. ( B ) SNPs relevant to the study were shortlisted. Out of these, the SNPs that were functionally validated in DNA-affinity precipitation assays (DAPA) have been shown. ( C and D ) DAPA reveals the SNPs that alter the binding of FOSL1, FOSL2 or BATF to their genomic sites that were identified by ChIP-seq analysis. Wildtype (WT) oligonucleotides containing the binding motifs of these TFs (at different genomic loci), and mutant oligonucleotides harboring a SNP within the corresponding motif, were used as baits. For experimental controls, an oligonucleotide with a conserved binding sequence for BATF (BATF WT), and the corresponding mutated sequence which is known to disrupt BATF occupancy (BATF MUT) were used. Immunoblot results for the SNPs unique to FOSL1, FOSL2 and BATF (panel C), and the ones common across the three factors (panel D) are shown. Data is representative of three biological replicates.

Journal: bioRxiv

Article Title: The AP-1 factors FOSL1 and FOSL2 co-regulate human Th17 responses

doi: 10.1101/2021.04.26.441472

Figure Lengend Snippet: ( A ) Enrichment of disease-associated SNPs (or their proxies in Caucasian populations) within FOSL1, FOSL2 and BATF genomic-binding sites, relative to random sets of background SNPs. ( B ) SNPs relevant to the study were shortlisted. Out of these, the SNPs that were functionally validated in DNA-affinity precipitation assays (DAPA) have been shown. ( C and D ) DAPA reveals the SNPs that alter the binding of FOSL1, FOSL2 or BATF to their genomic sites that were identified by ChIP-seq analysis. Wildtype (WT) oligonucleotides containing the binding motifs of these TFs (at different genomic loci), and mutant oligonucleotides harboring a SNP within the corresponding motif, were used as baits. For experimental controls, an oligonucleotide with a conserved binding sequence for BATF (BATF WT), and the corresponding mutated sequence which is known to disrupt BATF occupancy (BATF MUT) were used. Immunoblot results for the SNPs unique to FOSL1, FOSL2 and BATF (panel C), and the ones common across the three factors (panel D) are shown. Data is representative of three biological replicates.

Article Snippet: FOSL1, FOSL2 and BATF protein was analyzed by western blotting using rabbit monoclonal FOSL1 antibody (D80B4; 1:500), rabbit monoclonal FOSL2 antibody (D2F1E; 1:1000) and rabbit monoclonal BATF antibody (D7C5; 1:1000) from Cell Signaling Technology.

Techniques: Binding Assay, Affinity Precipitation, ChIP-sequencing, Mutagenesis, Sequencing, Western Blot

( A ) Table illustrates information on the autoimmune-linked SNPs that are harbored within consensus AP-1 motifs at the shared genomic-binding sites of FOSL1, FOSL2 and BATF. The sequence logos shown have been derived from the respective TF ChIP-seq peaks using Homer. ( B and C ) DAPA analysis was performed to test the effect of selected SNPs on the DNA-binding abilities of FOSL1, FOSL2 and BATF. The immunoblot images in panels B & C show biological replicates (R1, R2, R3) for and respectively

Journal: bioRxiv

Article Title: The AP-1 factors FOSL1 and FOSL2 co-regulate human Th17 responses

doi: 10.1101/2021.04.26.441472

Figure Lengend Snippet: ( A ) Table illustrates information on the autoimmune-linked SNPs that are harbored within consensus AP-1 motifs at the shared genomic-binding sites of FOSL1, FOSL2 and BATF. The sequence logos shown have been derived from the respective TF ChIP-seq peaks using Homer. ( B and C ) DAPA analysis was performed to test the effect of selected SNPs on the DNA-binding abilities of FOSL1, FOSL2 and BATF. The immunoblot images in panels B & C show biological replicates (R1, R2, R3) for and respectively

Article Snippet: FOSL1, FOSL2 and BATF protein was analyzed by western blotting using rabbit monoclonal FOSL1 antibody (D80B4; 1:500), rabbit monoclonal FOSL2 antibody (D2F1E; 1:1000) and rabbit monoclonal BATF antibody (D7C5; 1:1000) from Cell Signaling Technology.

Techniques: Binding Assay, Sequencing, Derivative Assay, ChIP-sequencing, Western Blot