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Image Search Results
Journal: Cell chemical biology
Article Title: Evidence that HDAC7 acts as an epigenetic "reader" of AR acetylation through NCoR-HDAC3 dissociation.
doi: 10.1016/j.chembiol.2022.05.008
Figure Lengend Snippet: Figure 1. HDAC-inhibitor-dependent HDAC-NCoR binding (A) FLAG-tagged wild-type (WT) or GOF HDAC4 (A), -5 (B), -7 (C), or -9 (D) were overexpressed in HEK293 cells, which were then treated with SAHA (10 mM) to induce acetylation. After lysis, FLAG-tagged HDAC proteins were immunopre- cipitated (IP) in the presence or absence of SAHA. Bound proteins were resolved by SDS-PAGE, followed by western-blot analysis with NCoR and FLAG antibodies. As a gel migration control, lysate from transfected cells were included. All trials include a bead binding control using lysates without expression of HDAC-FLAG (immunoglublin G [IgG]). Activity assays associ- ated with the WT and mutant HDAC proteins are shown in Figure S1. Additional independent trials and SAHA dose dependence are shown in Figure S2.
Article Snippet: The remaining of the precipitated HDAC proteins (80% of total) was washed three times with lysis buffer, followed by 10% SDS-PAGE separation of proteins, transfer to a PVDF membrane, and visualization with Flag (F3165, Sigma) or an
Techniques: Binding Assay, Lysis, SDS Page, Western Blot, Migration, Control, Transfection, Expressing, Activity Assay, Mutagenesis
Journal: Cell chemical biology
Article Title: Evidence that HDAC7 acts as an epigenetic "reader" of AR acetylation through NCoR-HDAC3 dissociation.
doi: 10.1016/j.chembiol.2022.05.008
Figure Lengend Snippet: Figure 2. NCoR binds to HDAC4, -5, and -7 in an acetyllysine-depen- dent manner (A–C) FLAG-tagged HDAC4 (A), -5 (B), and -7 (C) were overexpressed in HEK293 cells, which were then treated with SAHA (10 mM) to induce acetyla- tion. After lysis, anti-FLAG beads were used to IP the HDAC proteins either in the absence or presence of 1 mM LGK (K), LGKAc (KAc), or SAHA (SA). Bound proteins from the IP were resolved by SDS-PAGE, followed by western-blot analysis with NCoR and FLAG antibodies. Lysates from transfected cells were included as a gel migration control. All trials include a bead binding con- trol using lysates without expression of HDAC-FLAG (IgG). Additional indepen- dent trials and dose dependence are shown in Figures S3A–S3C. Binding-af- finity studies are shown in Figure S4. (D) NCoR band intensities from three independent trials with HDAC4, -5, and -7 (parts A–C and Figures S3A–S3C) were quantified and normalized to untreated (set to 100%), with the mean and standard error shown and the Student’s t test applied to show significance. NS is not significant (p > 0.05) and **p < 0.01. Raw data are shown in Figure S3D.
Article Snippet: The remaining of the precipitated HDAC proteins (80% of total) was washed three times with lysis buffer, followed by 10% SDS-PAGE separation of proteins, transfer to a PVDF membrane, and visualization with Flag (F3165, Sigma) or an
Techniques: Lysis, SDS Page, Western Blot, Transfection, Migration, Control, Binding Assay, Expressing
Journal: Cell chemical biology
Article Title: Evidence that HDAC7 acts as an epigenetic "reader" of AR acetylation through NCoR-HDAC3 dissociation.
doi: 10.1016/j.chembiol.2022.05.008
Figure Lengend Snippet: Figure 3. AR influenced HDAC7-NCoR association (A) FLAG-tagged HDAC7 was expressed in HEK293 cells, which were then treated with SAHA (10 mM) to induce acetylation, followed by lysis, IP in the presence of different mM concentrations of AR K630Ac or AR WT peptide, SDS-PAGE separation, and western-blot analysis with NCoR and FLAG (HD7-F) antibodies. Repetitive independent trials are shown in Figure S5A. (B) HDAC7 WT or GOF mutant were co-expressed with AR WT or K630R mutant in HEK293 cells, followed by lysis, IP of HDAC-FLAG from the lysates, SDS-PAGE separation, and western-blot analysis with NCoR, AR, or FLAG (HD7-F) antibodies. As a gel migration control, lysates (Lys) from transfected cells were included. Repetitive independent trials are shown in Figure S5B. (C) HDAC7 WT or GOF mutant (Y) were coexpressed with AR WT in HEK293 cells, which were then treated with SAHA (10 mM) to induce acetylation. After lysis and IP, bound proteins were washed with a high salt (500 mM) buffer, before SAHA (100 mM) or DMSO vehicle was added and further washed. Bound proteins were separated by SDS-PAGE and visualized with NCoR, AR, or FLAG (HD7-F) antibodies. Repetitive independent trials are shown in Figure S5C. (D) NCoR protein levels from three independent trials from (C) and Figure S5C were quantified, normalized to samples without SAHA (set to 100%), and plotted with mean and standard error shown (Figure S5D). *p < 0.05 and **p < 0.01. All trials include a bead binding control using lysates without expression of HDAC7-FLAG (IgG).
Article Snippet: The remaining of the precipitated HDAC proteins (80% of total) was washed three times with lysis buffer, followed by 10% SDS-PAGE separation of proteins, transfer to a PVDF membrane, and visualization with Flag (F3165, Sigma) or an
Techniques: Lysis, SDS Page, Western Blot, Mutagenesis, Migration, Control, Transfection, Binding Assay, Expressing
Journal: Cell chemical biology
Article Title: Evidence that HDAC7 acts as an epigenetic "reader" of AR acetylation through NCoR-HDAC3 dissociation.
doi: 10.1016/j.chembiol.2022.05.008
Figure Lengend Snippet: Figure 6. HDAC7-NCoR dissociation in the presence of ER HDAC7 WT or GF were coexpressed with WT ER in HEK293 cells, followed by lysis, IP of HDAC-FLAG from the Lyss, and western-blot analysis with NCoR, FLAG (HD7-F), or ER antibodies. Repetitive independent trials are shown in Figure S9. All trials include a bead binding control using Lyss without expres- sion of HDAC-FLAG (IgG).
Article Snippet: The remaining of the precipitated HDAC proteins (80% of total) was washed three times with lysis buffer, followed by 10% SDS-PAGE separation of proteins, transfer to a PVDF membrane, and visualization with Flag (F3165, Sigma) or an
Techniques: Lysis, Western Blot, Binding Assay, Control
Journal: Redox Biology
Article Title: Methylation reader MBD2-mediated GPX4 transcriptional repression drives ovarian granulosa cell ferroptosis in PCOS
doi: 10.1016/j.redox.2026.104034
Figure Lengend Snippet: GPX4 suppression is regulated by a repressive complex containing MBD2, MAZ, HDAC3 and NCoR. (a) Peak plot showing the ATAC-seq peak at the Gpx4 locus (Chr10: 80051488–80056439) in ovarian tissues from control (Ctrl, blue) and DHEA-treated (DHEA, red) mice. Orange boxes and asterisks denote regions with increased chromatin accessibility. (b) A heatmap displays the top six transcription factors (TFs) binding to the Gpx4 promoter region in the ATAC-seq analysis, along with the mRNA expression identified by RNA-seq analysis, and the predicted TF motifs and E-values are shown on the right. (c) Schematic representation of the Gpx4 promoter region showing the MAZ binding motif relative to the transcription start site (TSS). (Below) MAZ binding footprint enrichment at the Gpx4 locus in Ctrl (blue) and DHEA-treated (red) mice. Primary ovarian granulosa cells (GCs) were treated with 50 μM DHEA for 48 h in vitro to establish the PCOS model. (d) Western blot analysis of MAZ, NCoR and HDAC3 protein expression in DHEA-treated GCs. GAPDH served as a loading control. Blots are representative of one sample per group. Quantification was presented as means ± SEM, n = 3. ∗ P < 0.05, Student's t-test. (e) Co-immunoprecipitation (Co-IP) assay. Cell lysates were immunoprecipitated (IP) with isoform-matched immunoglobulin (Ig) or antibodies (IP Ab) to MBD2, MAZ, HDAC3, or NCoR, and then immunoprecipitants were assessed for MBD2, MAZ, HDAC3, or NCoR by western blotting reciprocally (the upper panel). The non-IP lysates (Input) were assayed for GAPDH as input controls. (f) Immunofluorescence co-staining was used to determine the expression and localization of MAZ (green), NCoR (red), and HDAC3 (magenta) within GCs. (g) Quantification of protein co-localization from the magnified region in ( f ). (h) Chromatin immunoprecipitation (ChIP) assay. DHEA-treated GCs were in presence or absence of KCC-07 (KCC, 10 μM, 48 h), and the cell lysates were immunoprecipitated with isoform-matched immunoglobulin or antibodies to MBD2, MAZ, NCoR, HDAC3, or pan-acetylated lysine (Pan-Ace), respectively. The genomic DNA (Input) and the antibody-bound DNAs were PCR-amplified with primers covering the MAZ motif on Gpx4 promoter. The PCR products of representative sample per group were analyzed on 1.5 % agarose gels. Quantitative analysis was shown on the right. Data were presented as mean ± SEM, n = 4. ∗ P < 0.05, one-way ANOVA. (i) Western blot analysis. (Left) HDAC3 and GPX4 protein expression in DHEA-treated GCs in the presence or absence of the HDAC3 inhibitor RGFP966 (RGFP, 10 μM, 48 h). (Middle) MAZ and GPX4 protein expression in GCs transfected with negative- (si-Ctrl) or MAZ-targeting (si-MAZ) siRNA, followed by treatment with or without DHEA. (Right) NCoR and GPX4 protein expression in GCs transfected with negative- (si-Ctrl) or NCoR-targeting (si-NCoR) siRNA, followed by DHEA treatment. GAPDH was as a loading control. (j) Quantifications of ( i ). Data were presented as mean ± SEM, n = 3. ∗ P < 0.05, one-way ANOVA. (k) Schematic model of Gpx4 transcriptional repression. A transcriptional repressive complex orchestrated by MBD2, MAZ, HDAC3, and NCoR binds to the hypermethylated Gpx4 promoter, leading to transcriptional suppression.
Article Snippet: The lysates of ovaries were immunoprecipitated with antibodies to MBD2 (ab188474, Abcam, UK), MAZ (21068-1-AP, Proteintech, USA), HDAC3 (A19537, ABclonal, China),
Techniques: Control, Binding Assay, Expressing, RNA Sequencing, In Vitro, Western Blot, Co-Immunoprecipitation Assay, Immunoprecipitation, Immunofluorescence, Staining, Chromatin Immunoprecipitation, Amplification, Transfection
Journal: Redox Biology
Article Title: Methylation reader MBD2-mediated GPX4 transcriptional repression drives ovarian granulosa cell ferroptosis in PCOS
doi: 10.1016/j.redox.2026.104034
Figure Lengend Snippet: Granulosa GPX4 deletion blocks the anti-ferroptotic and ovary-protective effects of MBD2 inhibition in PCOS mice. Gpx4 fl/fl and Gpx4 GC−/− mice were grouped into oil vehicle control (Ctrl), DHEA (60 mg/kg, 21 days)-treated (DHEA), and DHEA-treated with KCC-07 (KCC, 10 mg/kg) treatment (KCC/DHEA) mice ( n = 6). (a) Representative photomicrographs of ovarian sections. Ovarian sections were stained with hematoxylin-eosin (HE; upper panels), Masson trichrome (middle panels), and TUNEL assay (lower panels). Asterisks indicate corpora lutea; black arrows indicate preantral follicles; yellow arrows indicate collagen deposits; white arrows indicate TUNEL-positive cells. (b) Quantification of ( a ). Box-and-whisker plots with data points ( n = 6). ∗ P < 0.05, two-way ANOVA. (c) Western blot analysis of GPX4, 4-HNE, Collagen I (Col1α) and α-SMA protein expression in ovarian tissues. GAPDH served as a loading control. Blots are representative of two samples per group. (d) Quantification of ( c ). Data were presented as mean ± SEM, n = 6. ∗ P < 0.05, two -way ANOVA. (e) A schematic diagram of sequential MBD2 elevation, formation of a transcriptional repressive complex with MAZ, NCoR and HDAC3, binding to the DNMT-hypermethylated Gpx4 promoter, suppression of Gpx4 transcription, and granulosa cell ferroptosis that promotes polycystic ovary syndrome (PCOS) (dashed lines). Conversely, MBD2 inhibition with KCC-07 blocks GPX4 suppression and ferroptotic PCOS (solid lines).
Article Snippet: The lysates of ovaries were immunoprecipitated with antibodies to MBD2 (ab188474, Abcam, UK), MAZ (21068-1-AP, Proteintech, USA), HDAC3 (A19537, ABclonal, China),
Techniques: Inhibition, Control, Staining, TUNEL Assay, Whisker Assay, Western Blot, Expressing, Binding Assay
Journal: bioRxiv
Article Title: Nonredundant roles of the HDAC3 corepressor complex subunits SMRT and NCOR in controlling inflammatory and metabolic macrophage pathways
doi: 10.1101/2025.05.13.653058
Figure Lengend Snippet: Depletion of NCOR vs. SMRT differentially alters gene expression (transcriptome). (A) Principal Component Analysis (PCA) illustrating the transcriptional outcomes in NCOR-vs. SMRT-depleted RAW cells ( n =3). (B) Heatmap displaying differentially expressed genes in NCOR-vs. SMRT-depleted RAW cells, categorized in six clusters to show the different regulation patterns. Representative genes from each gene cluster are highlighted. Data significance for gene expression was determined using DESeq2. (C) Network of the top enriched KEGG pathways for each of the six gene clusters. (D) Heatmap showing the transcriptome-based TF activity analysis for each gene cluster. (E) Heatmaps illustrating selected genes in NCOR-depleted (top panel) and in SMRT-depleted (bottom panel) RAW cells and BMDMs. (F) Barplots showing enriched up- and down-regulated KEGG pathways in shNCOR BMDMs and shSMRT BMDMs.
Article Snippet: We designed
Techniques: Gene Expression, Activity Assay
Journal: bioRxiv
Article Title: Nonredundant roles of the HDAC3 corepressor complex subunits SMRT and NCOR in controlling inflammatory and metabolic macrophage pathways
doi: 10.1101/2025.05.13.653058
Figure Lengend Snippet: Depletion of NCOR vs. SMRT differentially alters chromatin accessibility (epigenome, candidate cis-regulatory elements). (A) PCA plot of ATAC-seq for NCOR-vs. SMRT- depleted cells ( n =3). (B-C) Distribution of shSMRT- ( B ) shNCOR- ( C ) specific upregulated regions between enhancer and promoter regions. The distribution is presented along the distance from the transcription start site (TSS) of the annotated gene. (D-E) Scatter plots presenting the correlation of the RNA-seq expression and the promoter peaks from ATAC-seq data in SMRT- ( D ) and NCOR- ( E ) depleted cells. Data significance for gene expression was determined using DESeq2. (F) Heatmap of all differentially accessible genomic regions based on ATAC-seq data in NCOR- vs. SMRT- depleted cells, categorized in the same six clusters as in . Representative genomic regions from each cluster with differential accessibility are highlighted. ( G ) TF-binding site motif analysis of the SMRT-specific, NCOR- specific, and commonly repressed peaks. ( H ) IGV genome-browser tracks representing the NCOR, SMRT and H3K27ac ChIP-seq peaks in WT cells and the ATAC-seq changes in NCOR- vs. SMRT- depleted cells at the Pdcd1 (top panel) and Abca1 (bottom panel) loci. The statistically significantly changed peaks are highlighted with blue shadow.
Article Snippet: We designed
Techniques: RNA Sequencing, Expressing, Gene Expression, Binding Assay, ChIP-sequencing
Journal: bioRxiv
Article Title: Nonredundant roles of the HDAC3 corepressor complex subunits SMRT and NCOR in controlling inflammatory and metabolic macrophage pathways
doi: 10.1101/2025.05.13.653058
Figure Lengend Snippet: Depletion of NCOR vs. SMRT differentially alters H3K27ac (epigenome, enhancers). (A) PCA plot illustrating the H3K27ac ChIP-seq results for NCOR- vs. SMRT- depleted cells ( n =2). Two independent ChIP-seq experiments were performed, and all results were merged to eliminate batch effect. (B) Heatmap displaying the z-normalized counts of the leading 2000 H3K27ac peaks driving PC1. Representative genomic regions are highlighted. (C) Heatmap of all H3K27ac peaks in shGFP, shSMRT and shNCOR macrophages. Up- and downregulated peaks are plotted independently ( n =2). (D) Motif analysis of the upregulated H3K27ac peaks in NCOR- vs. SMRT- depleted cells, intersected with NCOR/SMRT peaks. (E) IGV genome browser tracks of H3K27ac ChIP-seq (basal condition) at Pdcd1 , Abca1 and Ptgs1 loci. NCOR, SMRT, PU.1, JunB, and CBP ChIP-seq data are used to annotate enhancer regions. Up- and downregulated H3K27ac peaks are highlighted. (F) RT-qPCR analysis of Pdcd1 and Abca1 expression in NCOR- vs. SMRT- depleted cells ( n =3). (G) IGV genome browser tracks of ATAC-seq and H3K27ac and H4K5ac ChIP-seq (basal condition) at the Rarb locus. Up- and downregulated peaks are highlighted with a blue shadow. (H) RNA-seq tag counts (-RPKM) of nuclear receptor gene expression in NCOR- vs. SMRT- depleted macrophages ( n =3). Unpaired t test was used to determine data significance for gene expression in the qPCRs. All data are represented as mean ± SEM. Data significance for gene expression in RNA-seq was determined using DESeq2. * P < 0.05, ** P < 0.01, *** P < 0.001.
Article Snippet: We designed
Techniques: ChIP-sequencing, Quantitative RT-PCR, Expressing, RNA Sequencing, Gene Expression
Journal: bioRxiv
Article Title: Nonredundant roles of the HDAC3 corepressor complex subunits SMRT and NCOR in controlling inflammatory and metabolic macrophage pathways
doi: 10.1101/2025.05.13.653058
Figure Lengend Snippet: Genome-wide chromatin co-occupancy of NCOR and SMRT (cistrome). (A) Genome-wide correlation analysis: peaks from NCOR and SMRT ChIP-seq experiments were merged for Pearson correlation test. (B) NCOR and SMRT peak distribution between enhancer and promoter regions. The distribution is presented along the distance from the TSS of the annotated gene. (C-D) Venn diagrams displaying the binding overlap between NCOR, SMRT and the TFs PU.1 ( C ) and JunB ( D ) in macrophages. (E-G) Peak coverage plots of NCOR/SMRT common or specific peaks and the corresponding motif enrichment in macrophages. (H-I) IGV genome browser tracks of H3K27ac, SMRT, NCOR and other related regulatory proteins ChIP-seq at common marked genes Ccl2 ( H ) and Abcg1 ( I ) loci. The representative superenhancer (SE) and promoter regions of both Ccl2 and Abcg1 genes are highlighted with blue shadow.
Article Snippet: We designed
Techniques: Genome Wide, ChIP-sequencing, Binding Assay
Journal: bioRxiv
Article Title: Nonredundant roles of the HDAC3 corepressor complex subunits SMRT and NCOR in controlling inflammatory and metabolic macrophage pathways
doi: 10.1101/2025.05.13.653058
Figure Lengend Snippet: Reciprocal influence of NCOR and SMRT at the cistrome level. (A-B) Heatmap showing NCOR (A) and SMRT (B) occupancy in NCOR- vs. SMRT- depleted cells. The peak center in each plot represents the SMRT or NCOR peaks for each individual plot ( n =2). (C) MA plot displaying SMRT peak changes in NCOR-depleted cells. Upregulated and downregulated peaks are highlighted ( n =2). Key inflammatory and metabolic target genes are labeled. Significantly altered peaks were identified using DESeq2. (D-E) Distribution of up (D) and down (E) -regulated SMRT binding to promoters and enhancers in NCOR-depleted cells. The distribution is presented along the distance from the TSS of the annotated gene. (F-G) Motif analysis of up (F) and down (G) -regulated SMRT peaks in NCOR-depleted cells. (H) Boxplots comparing the distribution of the ATAC-seq tags between shNCOR/shSMRT and control and the SMRT ChIP-seq tags between shNCOR and control. The comparison is done for SMRT upregulated peaks (left panel) and for SMRT downregulated peaks (right panel). (I) Boxplots presenting the distribution of the ATAC-seq tags between shNCOR/shSMRT and control and the NCOR ChIP-seq tags between shSMRT and control. (J-K) IGV genome browser tracks showing SMRT ChIP-seq at Abca1 and Ccl2 loci. The corresponding H3K27ac ChIP-seq is used to illustrate the epigenome alterations ( n =2). Wilcox test and DESeq2 were used to determine data significance for gene expression.
Article Snippet: We designed
Techniques: Labeling, Binding Assay, Control, ChIP-sequencing, Comparison, Gene Expression
Journal: bioRxiv
Article Title: Nonredundant roles of the HDAC3 corepressor complex subunits SMRT and NCOR in controlling inflammatory and metabolic macrophage pathways
doi: 10.1101/2025.05.13.653058
Figure Lengend Snippet: Influence of SMRT on NCOR subcellular localization. (A) Immunofluorescent (IF) staining showing the subcellular localization of SMRT in NCOR-depleted RAW cells; blue: DAPI, green: SMRT, scale bar: 2μm. (B) Immunofluorescent staining showing the subcellular localization of NCOR in SMRT-depleted RAW cells; blue: DAPI, green: NCOR, scale bar: 2μm. (C) Immunofluorescent double staining showing the subcellular localization of NCOR and SMRT in NCOR- and SMRT- depleted BMDMs; blue: DAPI, purple: NCOR, green: SMRT, scale bar: 2μm. (D) Subcellular fragmentation WB analysis of NCOR, SMRT, HDAC3 and GPS2 in NCOR- vs SMRT- depleted RAW cells. (E) Model of the compressor complex alterations upon NCOR vs. SMRT depletion in macrophages.
Article Snippet: We designed
Techniques: Staining, Double Staining
Journal: bioRxiv
Article Title: Nonredundant roles of the HDAC3 corepressor complex subunits SMRT and NCOR in controlling inflammatory and metabolic macrophage pathways
doi: 10.1101/2025.05.13.653058
Figure Lengend Snippet: Depletion of NCOR vs. SMRT differentially reprograms macrophage activation in response to multiple signals. (A-C) IGV genome browser tracks displaying H3K27ac increase in Pdcd1 , Arg1 , and Abca1 loci in response to LPS, IL4 or GW3965 treatment. Specific target epigenome regions are highlighted for each treatment. (D-F) Integration of CUT&Tag data for NCOR vs. SMRT depletion in LPS (D) , IL4 (E) or GW3965 (F) treated macrophages. The shNCOR-specific upregulated peaks are highlighted in orange and the shSMRT-specific upregulated peaks are highlighted in blue. (G-I) RT-qPCR analysis of related gene expression in LPS (G) , IL4 (H) and GW3965 (I) treatment in NCOR- vs. SMRT- depleted cells ( n =3). Unpaired t test was used to determine data significance for gene expression. All data were represented as mean ± SEM. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001.
Article Snippet: We designed
Techniques: Activation Assay, Quantitative RT-PCR, Gene Expression