affinity purified rabbit polyclonal anti gata2 antibody (Santa Cruz Biotechnology)
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Affinity Purified Rabbit Polyclonal Anti Gata2 Antibody, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 94/100, based on 352 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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1) Product Images from "Dual mechanism of inflammation sensing by the hematopoietic progenitor genome"
Article Title: Dual mechanism of inflammation sensing by the hematopoietic progenitor genome
Journal: Science Advances
doi: 10.1126/sciadv.adv3169
Figure Legend Snippet: ( A ) Strategy for attenuating TLR signaling. Embryonic day 14.5 (E14.5) fetal livers from two timed mating schemes (−77 +/− and −77 +/− ; Myd88 −/− ) were harvested, and lineage-depleted progenitors were isolated and treated with IFN-γ (1 ng/ml), Pam 3 CSK 4 (100 ng/ml), or both for 4 hours. In parallel, fetal livers were harvested for flow cytometry to quantify the cellular composition and GP versus MP ratios. ( B ) Representative E14.5 embryos obtained from the mating schemes in (A). ( C ) Total cellularity of E14.5 fetal livers. ( D ) The expression of select genes was quantitated using RT-qPCR. ( E ) The responsiveness of Tnf and Cxcl10 to IFN-γ and Pam 3 CSK 4 was quantitated using RT-qPCR. Statistics in (C) and (D) were one-way analysis of variance (ANOVA) with Tukey’s multiple comparisons test and in (E) were multiple unpaired t tests. ( F ) Quantitation of MP and GP frequency within the Ly6C + GMP population in E13.5 to E14.5 fetal liver obtained from eight litters. ( G ) Quantitation of progenitor populations in E14.5 fetal livers obtained from seven litters. Error bars for all plots represent means ± SD. * P < 0.05; ** P < 0.01; *** P < 0.001; Welch’s unequal variance t tests. ( H ) Model depicting Irf8 , but not Myd88 , ablation reverses the GP:MP imbalance resulting from Gata2 −77 enhancer deletion. Although the levels of GPs and MPs were reduced by Myd88 ablation, the ratio was not altered.
Techniques Used: Isolation, Flow Cytometry, Expressing, Quantitative RT-PCR, Quantitation Assay
Figure Legend Snippet: ( A ) Strategy for gene expression analysis in ER-HOXB8–immortalized (hi) fetal liver myeloid progenitors. Wild-type (hi-77 +/+ ), GATA2 low (hi-77 −/− ), and GATA2/PU.1 low (hi-77 −/− ; Spi1 URE −/− ) progenitors were treated with vehicle, IFN-γ (1 ng/ml), Pam 3 CSK 4 (100 ng/ml), or both for 4 hours ( n = 4 biological replicates). Total RNA was isolated for RNA-seq. ( B ) RT-qPCR analysis of Gata2 and Spi1 expression ( n = 4 to 6 biological replicates). ( C ) Left: Representative Western blot of GATA2 and PU.1 expression. β-Actin was used as a loading control. Right: Densitometric analysis of band intensities normalized to β-Actin ( n = 4). M r is the apparent molecular mass in kDa. Statistics in (B) and (C): One-way ANOVA with Tukey’s multiple comparisons test. * P < 0.05; ** P < 0.01; *** P < 0.001. ( D ) Left: Overlap of activated differentially expressed genes (DEGs) in hi-77 −/− and hi-77 −/− ; Spi1 URE −/− cells in response to Pam 3 CSK 4 . A DEG had |log 2 (fold change)| ≥ 1, adjusted P -value <0.05, and transcripts per million (TPM) ≥ 1 in all replicates in at least one of the two conditions compared. Right: Heatmap depicting expression of activated DEGs in response to Pam 3 CSK 4 and presented as z -scores of TPMs. Representative genes are indicated. ( E ) Left: Overlap of activated DEGs in hi-77 −/− and hi-77 −/− ; Spi1 URE −/− cells in response to IFN-γ. Right: Heatmap depicting expression of activated DEG in response to IFN-γ and presented as z -scores of TPMs. ( F ) Left: Overlap of activated DEGs in hi-77 −/− and hi-77 −/− ; Spi1 URE −/− cells in response to IFN-γ and Pam 3 CSK 4 . Right: Heatmap depicting expression of activated DEGs upon combinatorial signaling and presented as z -scores of TPMs. Each section of the heatmaps in (D) and (E) corresponds to each section of Venn diagrams in the same order. ( G ) TLR gene ( Tlr1 and Tlr2 ) and IFN-γ receptor subunit ( Ifngr1 and Ifngr2 ) expression in GATA2 low and GATA2/PU.1 low progenitors.
Techniques Used: Gene Expression, Isolation, RNA Sequencing, Quantitative RT-PCR, Expressing, Western Blot, Control
Figure Legend Snippet: ( A ) GATA2-repressed genes that were activated synergistically in hi-77 −/− cells by IFN-γ and Pam 3 CSK 4 were parsed into PU.1-activated, PU.1-repressed, and PU.1-insensitive cohorts. The synergistic genes were defined as inflammation-activated DEGs with a larger |log 2 (fold change)| in combination versus vehicle than that of IFN-γ versus vehicle and Pam 3 CSK 4 versus vehicle. ( B ) Top: Models depicting three different modes of regulation of signal-dependent genes by GATA2 and PU.1. Bottom: RT-qPCR analysis of representative synergistic genes with different GATA2/PU.1 regulatory modes was quantitated with RT-qPCR ( n = 4). ( C ) The responsiveness of prioritized synergistic genes in primary lineage-depleted progenitors isolated from E14.5 fetal livers of −77 +/+ ( n = 6) and −77 −/− ( n = 4) embryos (pooled from three litters). Statistics in (B) and (C): Multiple unpaired t tests. * P < 0.05; ** P < 0.01; *** P < 0.001.
Techniques Used: Quantitative RT-PCR, Isolation
Figure Legend Snippet: ( A ) Schematic depicting the chromatin occupancy analysis. hi-77 +/+ , hi-77 −/− , and hi-77 −/− ; Spi1 URE −/− cells were stimulated with vehicle or IFN-γ (1 ng/ml) and Pam 3 CSK 4 (100 ng/ml) for 4 hours. Cells were cross-linked with 0.1% formaldehyde for 2 min before CUT&Tag analysis with antibodies against GATA2 ( n = 4), PU.1 ( n = 4), or H3K4me3 ( n = 2). IgG with hi-77 +/+ served as a negative control. ( B ) Comparison of median PU.1 (left) and GATA2 (right) CUT&Tag signals at 217 DEGs in untreated versus inflammation-activated hi-77 −/− and hi-77 +/+ cells, respectively. DEGs were colored by their cluster identities. The median signal is the median of signals from 1 kb upstream to 1 kb downstream of the transcription start site (TSS) of each DEG ( n = 4). ( C ) Heatmaps depicting PU.1 CUT&Tag signals in untreated versus inflammation-treated hi-77 +/+ (WT), hi-77 −/− (G low ), and hi-77 −/− ; Spi1 URE −/− (GP low ) progenitors. A total of 217 DEGs were clustered as inflammation-activated and inflammation-independent and ranked by their log 2 (fold change) on the basis of RNA-seq data of hi-77 −/− (inflammation) versus hi-77 −/− (vehicle). FC, fold change. ( D ) Range of signals for three categories of DEGs. The range is defined by the average signals of the four replicates from the same condition and presented as lines in the figure. Average signals are calculated over (TSS − 1 kb, TSS + 1 kb) with a bin width of 100 bp. ( E ) Representative CUT&Tag profiles (replicate 2) for genes with inflammation-induced GATA2 and PU.1 occupancy ( Cd40 and Gbp5 ) and genes prebound by GATA2 and PU.1 ( Ccl3 and Cd69 ). ( F ) Model of signal-dependent GATA2 and PU.1 occupancy at loci in GATA2 low progenitors. ( G ) Model depicting inflammation-independent GATA2 and PU.1 occupancy at inflammation-activated genes.
Techniques Used: Negative Control, Comparison, RNA Sequencing
Figure Legend Snippet: ( A ) Schematic of promoters and introns used for motif enrichment analysis of inflammation-activated genes. The promoter was defined as 1 kb upstream and 100 bp downstream of the TSS. ( B ) Heatmap showing motif enrichment, by MEME analysis, at promoters (top) and introns (bottom) of IFN-γ– and TLR-activated genes in hi-77 +/+ , hi-77 −/− , and hi-77 −/− ; Spi1 URE −/− cells. Motifs binding canonical inflammation-activated transcription factors (STAT, IRF, and NF-κB) are presented as positive controls. Motifs enriched in hi-77 −/− but not hi-77 +/+ or hi-77 −/− ; Spi1 URE −/− progenitors were ranked on the basis of −log 10 ( P value) and a P value cutoff of 0.005. Motifs with adjusted P value > 0.05 were set to 1 Complete heatmaps of all enriched motifs were presented in fig. S8 (A and B). ( C ) Schematic depicting positions of guide RNA for CRISPR-Cas9 gene editing tool to delete Runx1 gene in hi-77 −/− progenitors. ( D ) PCR-based genotyping assay for Runx1 −/− allele in hi-77 −/− progenitors. Two hi-77 −/− ; Runx1 −/− clonal lines are denoted as C1 and C2. ( E ) Runx1 , Gata2 , and Spi1 expression in hi-77 +/+ , hi-77 −/− , and hi-77 −/− ; Runx1 −/− progenitors ( n = 4). ( F ) Representative Western blot analysis of RUNX1 in hi-77 +/+ , hi-77 −/− , and hi-77 −/− ; Runx1 −/− progenitors with β-Actin as a control. M r is the apparent molecular mass in kDa. ( G ) The responsiveness of genes to IFN-γ and Pam 3 CSK 4 was quantified using RT-qPCR. hi-77 +/+ , hi-77 −/− , and hi-77 −/− ; Runx1 −/− progenitors were treated with or without IFN-γ (1 ng/ml), Pam 3 CSK 4 (100 ng/ml), or both for 4 hours ( n = 4 to 6). Statistics in (E) and (F): One-way ANOVA with Tukey’s multiple comparisons test. * P < 0.05; ** P < 0.01; *** P < 0.001.
Techniques Used: Binding Assay, CRISPR, Genotyping Assay, Expressing, Western Blot, Control, Quantitative RT-PCR
Figure Legend Snippet: ( A ) PCR-based genotyping assay for Runx1 −/− allele in hi-77 +/+ progenitors. ( B ) Runx1 , Gata2 , and Spi1 expression was quantified using RT-qPCR. ( C ) The responsiveness of select genes to TLR1/2 agonist (Pam 3 CSK 4 ) and TLR4 agonist (LPS) were quantitated using RT-qPCR. hi-77 +/+ , hi-77 −/− , and hi- Runx1 −/− progenitors were treated with vehicle, Pam 3 CSK 4 (100 ng/ml), or LPS (100 ng/ml) for 4 hours ( n = 6 biological replicates). ( D ) Tlr1 , Tlr2 , and Tlr4 expression in hi-77 +/+ , hi-77 −/− , and hi- Runx1 −/− progenitors was quantified using RT-qPCR. Statistics: One-way ANOVA with Tukey’s multiple comparisons test. * P < 0.05; ** P < 0.01; *** P < 0.001.
Techniques Used: Genotyping Assay, Expressing, Quantitative RT-PCR
Figure Legend Snippet: The hematopoietic progenitor genome uses a dual PU.1-dependent mechanism to sense and respond to inflammation. A gene cohort has inaccessible chromatin in the steady state, and inflammation increases chromatin accessibility and occupancy of the hematopoietic transcription factors GATA2 and PU.1 to activate transcription via an IKKβ-dependent mechanism. At another inflammation-activated gene cohort, GATA2 and PU.1 occupancy precede inflammation, and this mechanism is not compromised by IKKβ inhibition. RUNX1 co-occupies chromatin with GATA2 and PU.1, yet GATA2 and RUNX1 differentially control inflammation-activated transcription, and transcriptional responses involving distinct TLR signaling pathways activated by unique pathogen-associated molecular patterns .
Techniques Used: Inhibition, Control, Protein-Protein interactions
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