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h3k9ac antibody  (Proteintech)


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    Structured Review

    Proteintech h3k9ac antibody
    H3k9ac Antibody, supplied by Proteintech, used in various techniques. Bioz Stars score: 95/100, based on 63 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/h3k9ac+antibody/HDAC4+Antibody/pm41933640-88-11-13
    Average 95 stars, based on 63 article reviews
    h3k9ac antibody - by Bioz Stars, 2026-10
    95/100 stars

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    Related Articles

    Incubation:

    Article Title: Glucocorticoid receptor represses the LGR4 gene by binding to the nGRE sequence and recruiting HDAC4 in mice monocytes.
    Article Snippet: The glucocorticoid receptor (GR) is a ligand-activated transcriptional regulator that translocates from the cytoplasm to the nucleus and modulates gene expression by binding DNA elements and recruiting coregulators.. Synthetic glucocorticoids promote osteoclast overactivation, but the Jo ur na l P re -p ro of Journal Pre-proof transcriptional mechanisms in osteoclast precursors remain incompletely defined.. In glucocorticoid-stimulated monocytes, the leucine-rich repeat-containing G-protein-coupled receptor 4 (LGR4), a gene inhibiting osteoclastogenesis, is significantly repressed and osteoclast differentiation genes are upregulated.

    Negative Control:

    Article Title: Glucocorticoid receptor represses the LGR4 gene by binding to the nGRE sequence and recruiting HDAC4 in mice monocytes.
    Article Snippet: The glucocorticoid receptor (GR) is a ligand-activated transcriptional regulator that translocates from the cytoplasm to the nucleus and modulates gene expression by binding DNA elements and recruiting coregulators.. Synthetic glucocorticoids promote osteoclast overactivation, but the Jo ur na l P re -p ro of Journal Pre-proof transcriptional mechanisms in osteoclast precursors remain incompletely defined.. In glucocorticoid-stimulated monocytes, the leucine-rich repeat-containing G-protein-coupled receptor 4 (LGR4), a gene inhibiting osteoclastogenesis, is significantly repressed and osteoclast differentiation genes are upregulated.

    Chromatin Immunoprecipitation:

    Article Title: Glucocorticoid receptor represses the LGR4 gene by binding to the nGRE sequence and recruiting HDAC4 in mice monocytes.
    Article Snippet: The glucocorticoid receptor (GR) is a ligand-activated transcriptional regulator that translocates from the cytoplasm to the nucleus and modulates gene expression by binding DNA elements and recruiting coregulators.. Synthetic glucocorticoids promote osteoclast overactivation, but the Jo ur na l P re -p ro of Journal Pre-proof transcriptional mechanisms in osteoclast precursors remain incompletely defined.. In glucocorticoid-stimulated monocytes, the leucine-rich repeat-containing G-protein-coupled receptor 4 (LGR4), a gene inhibiting osteoclastogenesis, is significantly repressed and osteoclast differentiation genes are upregulated.

    Magnetic Beads:

    Article Title: Glucocorticoid receptor represses the LGR4 gene by binding to the nGRE sequence and recruiting HDAC4 in mice monocytes.
    Article Snippet: The glucocorticoid receptor (GR) is a ligand-activated transcriptional regulator that translocates from the cytoplasm to the nucleus and modulates gene expression by binding DNA elements and recruiting coregulators.. Synthetic glucocorticoids promote osteoclast overactivation, but the Jo ur na l P re -p ro of Journal Pre-proof transcriptional mechanisms in osteoclast precursors remain incompletely defined.. In glucocorticoid-stimulated monocytes, the leucine-rich repeat-containing G-protein-coupled receptor 4 (LGR4), a gene inhibiting osteoclastogenesis, is significantly repressed and osteoclast differentiation genes are upregulated.

    Binding Assay:

    Article Title: Glucocorticoid receptor represses the LGR4 gene by binding to the nGRE sequence and recruiting HDAC4 in mice monocytes.
    Article Snippet: The glucocorticoid receptor (GR) is a ligand-activated transcriptional regulator that translocates from the cytoplasm to the nucleus and modulates gene expression by binding DNA elements and recruiting coregulators.. Synthetic glucocorticoids promote osteoclast overactivation, but the Jo ur na l P re -p ro of Journal Pre-proof transcriptional mechanisms in osteoclast precursors remain incompletely defined.. In glucocorticoid-stimulated monocytes, the leucine-rich repeat-containing G-protein-coupled receptor 4 (LGR4), a gene inhibiting osteoclastogenesis, is significantly repressed and osteoclast differentiation genes are upregulated.

    Purification:

    Article Title: Glucocorticoid receptor represses the LGR4 gene by binding to the nGRE sequence and recruiting HDAC4 in mice monocytes.
    Article Snippet: The glucocorticoid receptor (GR) is a ligand-activated transcriptional regulator that translocates from the cytoplasm to the nucleus and modulates gene expression by binding DNA elements and recruiting coregulators.. Synthetic glucocorticoids promote osteoclast overactivation, but the Jo ur na l P re -p ro of Journal Pre-proof transcriptional mechanisms in osteoclast precursors remain incompletely defined.. In glucocorticoid-stimulated monocytes, the leucine-rich repeat-containing G-protein-coupled receptor 4 (LGR4), a gene inhibiting osteoclastogenesis, is significantly repressed and osteoclast differentiation genes are upregulated.



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    a, Heatmap showing calculated STARS scores for SAGA/ATAC complex genes from a chromatin-focused CRISPR dropout screen, with red color correlating with stronger genetic dependencies and asterisks marking statistical significance (*p<0.05). b, Schematic of SAGA/ATAC chromatin-regulatory complexes illustrating the H3K4me2/3 reader function of SGF29, KAT2A/2B-dependent histone acetylation, modulation of H2A/H2B de-ubiquitination by the DUB module, and WDR5-dependent regulation of H3K4me3. c, Protein expression from the CPTAC proteomics database of primary brain tumors revealing increased expression of selected SAGA/ATAC-associated proteins in high grade (HGG) versus low grade glioma (LGG). d-f, Kaplan-Meier survival analyses comparing overall survival (OS) in pediatric brain tumor patients grouped according to low and high SGF29 and TRRAP protein expression in their primary tumors. Panels d-e show survival curves based on SGF29 and TRRAP expression in a pan-brain tumor analysis, and panel f shows a survival analysis based on TRRAP expression in an HGG patient cohort. g, Immunoblots of lysates from control and SU-DIPGXIII+Cas9 cells transduced with control or SGF29 sgRNAs collected 16 days after starting selection showing a reduction in SGF29 protein abundance and SAGA/ATAC-targeted <t>H3K9ac.</t> h-i, Number of live Cas9-expressing H3K27M mutant DMG cells ( h ) or non-transformed H3 wild-type cells ( i ) 12-16 days after starting selection to express either control or SGF29 -targeting sgRNAs. j, Normalized viability of H3K27M mutant DMG cells (purple curves) or H3 wildtype BJ fibroblasts and NHA-hTERT cells (black curves) following seven days of treatment with increasing doses of SGF29-IN-1 to block SGF29 chromatin-binding via its tandem Tudor domains. k-l, Average number of live BT869 ( k ) or SU-DIPGXIII ( l ) DMG cells following four days of treatment with increasing doses of SGF29-IN-1. m, Average number of SU-DIPGXIII cells following four days of treatment with SGF29-IN-1 comparing control and clonal SGF29 KO SU-DIPGXIIIP*+ZsG/luc cells confirming on-target inhibition of SGF29. n-o, Representative immunofluorescence images ( n ), and quantification of mean H3K9ac staining intensity ( o ) from BT869 cells treated with vehicle or 25 µM SGF29-IN-1 for 24 hours.
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    a, Heatmap showing calculated STARS scores for SAGA/ATAC complex genes from a chromatin-focused CRISPR dropout screen, with red color correlating with stronger genetic dependencies and asterisks marking statistical significance (*p<0.05). b, Schematic of SAGA/ATAC chromatin-regulatory complexes illustrating the H3K4me2/3 reader function of SGF29, KAT2A/2B-dependent histone acetylation, modulation of H2A/H2B de-ubiquitination by the DUB module, and WDR5-dependent regulation of H3K4me3. c, Protein expression from the CPTAC proteomics database of primary brain tumors revealing increased expression of selected SAGA/ATAC-associated proteins in high grade (HGG) versus low grade glioma (LGG). d-f, Kaplan-Meier survival analyses comparing overall survival (OS) in pediatric brain tumor patients grouped according to low and high SGF29 and TRRAP protein expression in their primary tumors. Panels d-e show survival curves based on SGF29 and TRRAP expression in a pan-brain tumor analysis, and panel f shows a survival analysis based on TRRAP expression in an HGG patient cohort. g, Immunoblots of lysates from control and SU-DIPGXIII+Cas9 cells transduced with control or SGF29 sgRNAs collected 16 days after starting selection showing a reduction in SGF29 protein abundance and SAGA/ATAC-targeted <t>H3K9ac.</t> h-i, Number of live Cas9-expressing H3K27M mutant DMG cells ( h ) or non-transformed H3 wild-type cells ( i ) 12-16 days after starting selection to express either control or SGF29 -targeting sgRNAs. j, Normalized viability of H3K27M mutant DMG cells (purple curves) or H3 wildtype BJ fibroblasts and NHA-hTERT cells (black curves) following seven days of treatment with increasing doses of SGF29-IN-1 to block SGF29 chromatin-binding via its tandem Tudor domains. k-l, Average number of live BT869 ( k ) or SU-DIPGXIII ( l ) DMG cells following four days of treatment with increasing doses of SGF29-IN-1. m, Average number of SU-DIPGXIII cells following four days of treatment with SGF29-IN-1 comparing control and clonal SGF29 KO SU-DIPGXIIIP*+ZsG/luc cells confirming on-target inhibition of SGF29. n-o, Representative immunofluorescence images ( n ), and quantification of mean H3K9ac staining intensity ( o ) from BT869 cells treated with vehicle or 25 µM SGF29-IN-1 for 24 hours.
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    Active Motif h3k9ac
    a, Heatmap showing calculated STARS scores for SAGA/ATAC complex genes from a chromatin-focused CRISPR dropout screen, with red color correlating with stronger genetic dependencies and asterisks marking statistical significance (*p<0.05). b, Schematic of SAGA/ATAC chromatin-regulatory complexes illustrating the H3K4me2/3 reader function of SGF29, KAT2A/2B-dependent histone acetylation, modulation of H2A/H2B de-ubiquitination by the DUB module, and WDR5-dependent regulation of H3K4me3. c, Protein expression from the CPTAC proteomics database of primary brain tumors revealing increased expression of selected SAGA/ATAC-associated proteins in high grade (HGG) versus low grade glioma (LGG). d-f, Kaplan-Meier survival analyses comparing overall survival (OS) in pediatric brain tumor patients grouped according to low and high SGF29 and TRRAP protein expression in their primary tumors. Panels d-e show survival curves based on SGF29 and TRRAP expression in a pan-brain tumor analysis, and panel f shows a survival analysis based on TRRAP expression in an HGG patient cohort. g, Immunoblots of lysates from control and SU-DIPGXIII+Cas9 cells transduced with control or SGF29 sgRNAs collected 16 days after starting selection showing a reduction in SGF29 protein abundance and SAGA/ATAC-targeted <t>H3K9ac.</t> h-i, Number of live Cas9-expressing H3K27M mutant DMG cells ( h ) or non-transformed H3 wild-type cells ( i ) 12-16 days after starting selection to express either control or SGF29 -targeting sgRNAs. j, Normalized viability of H3K27M mutant DMG cells (purple curves) or H3 wildtype BJ fibroblasts and NHA-hTERT cells (black curves) following seven days of treatment with increasing doses of SGF29-IN-1 to block SGF29 chromatin-binding via its tandem Tudor domains. k-l, Average number of live BT869 ( k ) or SU-DIPGXIII ( l ) DMG cells following four days of treatment with increasing doses of SGF29-IN-1. m, Average number of SU-DIPGXIII cells following four days of treatment with SGF29-IN-1 comparing control and clonal SGF29 KO SU-DIPGXIIIP*+ZsG/luc cells confirming on-target inhibition of SGF29. n-o, Representative immunofluorescence images ( n ), and quantification of mean H3K9ac staining intensity ( o ) from BT869 cells treated with vehicle or 25 µM SGF29-IN-1 for 24 hours.
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    Average 96 stars, based on 1 article reviews
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    Image Search Results


    a, Heatmap showing calculated STARS scores for SAGA/ATAC complex genes from a chromatin-focused CRISPR dropout screen, with red color correlating with stronger genetic dependencies and asterisks marking statistical significance (*p<0.05). b, Schematic of SAGA/ATAC chromatin-regulatory complexes illustrating the H3K4me2/3 reader function of SGF29, KAT2A/2B-dependent histone acetylation, modulation of H2A/H2B de-ubiquitination by the DUB module, and WDR5-dependent regulation of H3K4me3. c, Protein expression from the CPTAC proteomics database of primary brain tumors revealing increased expression of selected SAGA/ATAC-associated proteins in high grade (HGG) versus low grade glioma (LGG). d-f, Kaplan-Meier survival analyses comparing overall survival (OS) in pediatric brain tumor patients grouped according to low and high SGF29 and TRRAP protein expression in their primary tumors. Panels d-e show survival curves based on SGF29 and TRRAP expression in a pan-brain tumor analysis, and panel f shows a survival analysis based on TRRAP expression in an HGG patient cohort. g, Immunoblots of lysates from control and SU-DIPGXIII+Cas9 cells transduced with control or SGF29 sgRNAs collected 16 days after starting selection showing a reduction in SGF29 protein abundance and SAGA/ATAC-targeted H3K9ac. h-i, Number of live Cas9-expressing H3K27M mutant DMG cells ( h ) or non-transformed H3 wild-type cells ( i ) 12-16 days after starting selection to express either control or SGF29 -targeting sgRNAs. j, Normalized viability of H3K27M mutant DMG cells (purple curves) or H3 wildtype BJ fibroblasts and NHA-hTERT cells (black curves) following seven days of treatment with increasing doses of SGF29-IN-1 to block SGF29 chromatin-binding via its tandem Tudor domains. k-l, Average number of live BT869 ( k ) or SU-DIPGXIII ( l ) DMG cells following four days of treatment with increasing doses of SGF29-IN-1. m, Average number of SU-DIPGXIII cells following four days of treatment with SGF29-IN-1 comparing control and clonal SGF29 KO SU-DIPGXIIIP*+ZsG/luc cells confirming on-target inhibition of SGF29. n-o, Representative immunofluorescence images ( n ), and quantification of mean H3K9ac staining intensity ( o ) from BT869 cells treated with vehicle or 25 µM SGF29-IN-1 for 24 hours.

    Journal: bioRxiv

    Article Title: SAGA/ATAC complexes sustain aberrant chromatin regulation and promote tumorigenesis in diffuse midline glioma

    doi: 10.64898/2026.01.22.701194

    Figure Lengend Snippet: a, Heatmap showing calculated STARS scores for SAGA/ATAC complex genes from a chromatin-focused CRISPR dropout screen, with red color correlating with stronger genetic dependencies and asterisks marking statistical significance (*p<0.05). b, Schematic of SAGA/ATAC chromatin-regulatory complexes illustrating the H3K4me2/3 reader function of SGF29, KAT2A/2B-dependent histone acetylation, modulation of H2A/H2B de-ubiquitination by the DUB module, and WDR5-dependent regulation of H3K4me3. c, Protein expression from the CPTAC proteomics database of primary brain tumors revealing increased expression of selected SAGA/ATAC-associated proteins in high grade (HGG) versus low grade glioma (LGG). d-f, Kaplan-Meier survival analyses comparing overall survival (OS) in pediatric brain tumor patients grouped according to low and high SGF29 and TRRAP protein expression in their primary tumors. Panels d-e show survival curves based on SGF29 and TRRAP expression in a pan-brain tumor analysis, and panel f shows a survival analysis based on TRRAP expression in an HGG patient cohort. g, Immunoblots of lysates from control and SU-DIPGXIII+Cas9 cells transduced with control or SGF29 sgRNAs collected 16 days after starting selection showing a reduction in SGF29 protein abundance and SAGA/ATAC-targeted H3K9ac. h-i, Number of live Cas9-expressing H3K27M mutant DMG cells ( h ) or non-transformed H3 wild-type cells ( i ) 12-16 days after starting selection to express either control or SGF29 -targeting sgRNAs. j, Normalized viability of H3K27M mutant DMG cells (purple curves) or H3 wildtype BJ fibroblasts and NHA-hTERT cells (black curves) following seven days of treatment with increasing doses of SGF29-IN-1 to block SGF29 chromatin-binding via its tandem Tudor domains. k-l, Average number of live BT869 ( k ) or SU-DIPGXIII ( l ) DMG cells following four days of treatment with increasing doses of SGF29-IN-1. m, Average number of SU-DIPGXIII cells following four days of treatment with SGF29-IN-1 comparing control and clonal SGF29 KO SU-DIPGXIIIP*+ZsG/luc cells confirming on-target inhibition of SGF29. n-o, Representative immunofluorescence images ( n ), and quantification of mean H3K9ac staining intensity ( o ) from BT869 cells treated with vehicle or 25 µM SGF29-IN-1 for 24 hours.

    Article Snippet: H3K9ac primary antibody stock (cat# 9649, Cell Signaling Technology) was prepared at 1:3,000 in primary antibody dilution buffer (0.3% triton-X 100, 1% BSA, 1xPBS) and allowed to incubate overnight at room temperature.

    Techniques: CRISPR, Ubiquitin Proteomics, Expressing, Western Blot, Control, Transduction, Selection, Quantitative Proteomics, Mutagenesis, Transformation Assay, Blocking Assay, Binding Assay, Inhibition, Immunofluorescence, Staining

    a, Growth curves of SU-DIPGXIII cells transduced with shRNAs to knockdown both KAT2A and KAT2B, showing significantly reduced growth compared to control shRNA-transduced cells. b, Number of live SU-DIPGXIII+Cas9 cells expressing a control plasmid (HA/flag-GFP) or sgRNAs to KO SAGA-associated acetyltransferase activity ( TADA2B sgRNAs), or de-ubiquitinase activity ( ENY2 sgRNA). c, Schematic illustrating inhibition of histone-modifying modules of SAGA/ATAC complexes using chemical probes to target SAGA/ATAC-dependent histone acetylation (GSK4027, CPTH2, garcinol), SAGA-dependent H2A/H2B de-ubiquitination (USP22si-02), or WDR5-mediated H3K4me3 methylation (OICR-9529, WM856, WDR5-IN-4, and WDR5-IN-6). d, Average normalized cell viability from CellTiter-Glo assays conducted seven days after starting treatment of H3K27M mutant cells (teal curves) or non-transformed, H3 wildtype, control cells (black curves) with increasing doses of the KAT2A/2B bromodomain-targeting acetyltransferase inhibitor, GSK4027. e, Immunoblots confirming that treatment of BT245 cells with GSK4027 reduced H3K9ac in a dose-dependent manner, but not total H3 or SGF29 protein abundance. f-h, Dose response curves showing inhibition of H3K27M mutant DMG cell viability, but no effect on control H3 wild-type cells (black curves) following seven days of treatment with the DUB inhibitor, USP22i-S02 ( f, yellow curves), the WDR5 WIN site inhibitor, WDR5-IN-4 ( g, blue curves), or the WDR5 WBM site inhibitor, WDR5-IN-6 ( h, blue curves). i-j Average number of live SU-DIPGXIIIP*+ZsG/luc cells ( i ), and average BT245 ( j ) cell viability (CellTiter-Glo) following treatment with combinations of GSK4027 and USP22si-02 to simultaneously target both SAGA/ATAC-dependent histone acetyltransferase activity and SAGA-dependent H2A/H2B de-ubiquitination. k-l, BLISS synergy plots showing a combined effect of GSK4027 and WDR5-IN-6 treatment in reducing SU-DIPGXIIIP*+ZsG/luc growth ( k, **p<1.74×10 -3 ), and a combined effect of GSK4027 and WDR5-IN-4 treatment in reducing BT245 cell growth ( l , ****p<2.5×10 -10 ).

    Journal: bioRxiv

    Article Title: SAGA/ATAC complexes sustain aberrant chromatin regulation and promote tumorigenesis in diffuse midline glioma

    doi: 10.64898/2026.01.22.701194

    Figure Lengend Snippet: a, Growth curves of SU-DIPGXIII cells transduced with shRNAs to knockdown both KAT2A and KAT2B, showing significantly reduced growth compared to control shRNA-transduced cells. b, Number of live SU-DIPGXIII+Cas9 cells expressing a control plasmid (HA/flag-GFP) or sgRNAs to KO SAGA-associated acetyltransferase activity ( TADA2B sgRNAs), or de-ubiquitinase activity ( ENY2 sgRNA). c, Schematic illustrating inhibition of histone-modifying modules of SAGA/ATAC complexes using chemical probes to target SAGA/ATAC-dependent histone acetylation (GSK4027, CPTH2, garcinol), SAGA-dependent H2A/H2B de-ubiquitination (USP22si-02), or WDR5-mediated H3K4me3 methylation (OICR-9529, WM856, WDR5-IN-4, and WDR5-IN-6). d, Average normalized cell viability from CellTiter-Glo assays conducted seven days after starting treatment of H3K27M mutant cells (teal curves) or non-transformed, H3 wildtype, control cells (black curves) with increasing doses of the KAT2A/2B bromodomain-targeting acetyltransferase inhibitor, GSK4027. e, Immunoblots confirming that treatment of BT245 cells with GSK4027 reduced H3K9ac in a dose-dependent manner, but not total H3 or SGF29 protein abundance. f-h, Dose response curves showing inhibition of H3K27M mutant DMG cell viability, but no effect on control H3 wild-type cells (black curves) following seven days of treatment with the DUB inhibitor, USP22i-S02 ( f, yellow curves), the WDR5 WIN site inhibitor, WDR5-IN-4 ( g, blue curves), or the WDR5 WBM site inhibitor, WDR5-IN-6 ( h, blue curves). i-j Average number of live SU-DIPGXIIIP*+ZsG/luc cells ( i ), and average BT245 ( j ) cell viability (CellTiter-Glo) following treatment with combinations of GSK4027 and USP22si-02 to simultaneously target both SAGA/ATAC-dependent histone acetyltransferase activity and SAGA-dependent H2A/H2B de-ubiquitination. k-l, BLISS synergy plots showing a combined effect of GSK4027 and WDR5-IN-6 treatment in reducing SU-DIPGXIIIP*+ZsG/luc growth ( k, **p<1.74×10 -3 ), and a combined effect of GSK4027 and WDR5-IN-4 treatment in reducing BT245 cell growth ( l , ****p<2.5×10 -10 ).

    Article Snippet: H3K9ac primary antibody stock (cat# 9649, Cell Signaling Technology) was prepared at 1:3,000 in primary antibody dilution buffer (0.3% triton-X 100, 1% BSA, 1xPBS) and allowed to incubate overnight at room temperature.

    Techniques: Transduction, Knockdown, Control, shRNA, Expressing, Plasmid Preparation, Activity Assay, Inhibition, Ubiquitin Proteomics, Methylation, Mutagenesis, Transformation Assay, Western Blot, Quantitative Proteomics

    a, Heatmap showing log 2 fold change (log 2 FC) for various histone post-translational modifications in SGF29 KO HSJD-DIPG007 and SU-DIPGXIIIP* cells compared to control cells, revealing a consistent reduction in H3K9ac and H3K14ac associated with gene activation and a reduction in the phosphorylation of H310 and H3S28 associated with mitosis as determined by mass spectrometry. b, Heatmap (top panel) and average profile plots (bottom panel) of CUT&RUN tracks centered on significant H3K9ac-down peaks (2,870 regions, *p<0.01), in SGF29 KO versus control SU-DIPGXIII cells. This analysis suggests that the H3K9ac-down peaks are marked by strong H3K4me3 binding, low H3K27M association, and a moderate levels of H3K27ac and H3K4me1 enhancer marks. c, Heatmap and average profile plots of CUT&RUN tracks centered on the significant H3K4me3-down peaks (8,596 regions, *p<0.01), revealing strong H3K27M oncohistone binding and H3K27ac/H3K4me1 enrichment, but low H3K9ac signal. d, Genome browser snapshots of the DCTN5 and PLK1 loci showing representative H3K9ac-down peaks observed in the SGF29 KO cells (marked with boxes). e, Genome browser snapshot showing H3K4me3-down peaks (marked with boxes) in the promoter and gene body of the DAB1 gene, which co-localized with H3K27M, H3K27ac, and H3K4me1 peaks. In panels b-e, H3K27M CUT&RUN was performed in H3.1KO and H3K27M KO SU-DIPGXIII cells to control for antibody specificity. f, Pie charts showing the overlap between H3K9ac-down and H3K4me3-down peaks and various genomic elements indicating that SGF29 KO leads to reduced H3K9ac at gene promoters, whereas H3K4me3 was reduced primarily at introns and intergenic regions. g-h, Enriched consensus sequences for transcription factor-biding sites within the H3K9ac- ( g ) and H3K4me3-down ( h ) peak sets identified using HOMER. Interferon-responsive transcription factor binding sites (ISRE and IRF2) were enriched in the H3K9ac-down peaks, whereas SOX-family transcription factor binding sites were enriched in the H3K4me3-down peaks. i-j, Fold enrichment of known transcription factor and chromatin-regulator binding sites from the ChIP ATLAS database within the H3K9ac- ( i ) and H3K4me3-down ( j ) peak sets, suggesting an overlap between these SGF29-regulated regions and known binding sites for SWI/SNF chromatin remodelers and developmental transcription factors like SOX9/10, ASCL1, and OLIG2.

    Journal: bioRxiv

    Article Title: SAGA/ATAC complexes sustain aberrant chromatin regulation and promote tumorigenesis in diffuse midline glioma

    doi: 10.64898/2026.01.22.701194

    Figure Lengend Snippet: a, Heatmap showing log 2 fold change (log 2 FC) for various histone post-translational modifications in SGF29 KO HSJD-DIPG007 and SU-DIPGXIIIP* cells compared to control cells, revealing a consistent reduction in H3K9ac and H3K14ac associated with gene activation and a reduction in the phosphorylation of H310 and H3S28 associated with mitosis as determined by mass spectrometry. b, Heatmap (top panel) and average profile plots (bottom panel) of CUT&RUN tracks centered on significant H3K9ac-down peaks (2,870 regions, *p<0.01), in SGF29 KO versus control SU-DIPGXIII cells. This analysis suggests that the H3K9ac-down peaks are marked by strong H3K4me3 binding, low H3K27M association, and a moderate levels of H3K27ac and H3K4me1 enhancer marks. c, Heatmap and average profile plots of CUT&RUN tracks centered on the significant H3K4me3-down peaks (8,596 regions, *p<0.01), revealing strong H3K27M oncohistone binding and H3K27ac/H3K4me1 enrichment, but low H3K9ac signal. d, Genome browser snapshots of the DCTN5 and PLK1 loci showing representative H3K9ac-down peaks observed in the SGF29 KO cells (marked with boxes). e, Genome browser snapshot showing H3K4me3-down peaks (marked with boxes) in the promoter and gene body of the DAB1 gene, which co-localized with H3K27M, H3K27ac, and H3K4me1 peaks. In panels b-e, H3K27M CUT&RUN was performed in H3.1KO and H3K27M KO SU-DIPGXIII cells to control for antibody specificity. f, Pie charts showing the overlap between H3K9ac-down and H3K4me3-down peaks and various genomic elements indicating that SGF29 KO leads to reduced H3K9ac at gene promoters, whereas H3K4me3 was reduced primarily at introns and intergenic regions. g-h, Enriched consensus sequences for transcription factor-biding sites within the H3K9ac- ( g ) and H3K4me3-down ( h ) peak sets identified using HOMER. Interferon-responsive transcription factor binding sites (ISRE and IRF2) were enriched in the H3K9ac-down peaks, whereas SOX-family transcription factor binding sites were enriched in the H3K4me3-down peaks. i-j, Fold enrichment of known transcription factor and chromatin-regulator binding sites from the ChIP ATLAS database within the H3K9ac- ( i ) and H3K4me3-down ( j ) peak sets, suggesting an overlap between these SGF29-regulated regions and known binding sites for SWI/SNF chromatin remodelers and developmental transcription factors like SOX9/10, ASCL1, and OLIG2.

    Article Snippet: H3K9ac primary antibody stock (cat# 9649, Cell Signaling Technology) was prepared at 1:3,000 in primary antibody dilution buffer (0.3% triton-X 100, 1% BSA, 1xPBS) and allowed to incubate overnight at room temperature.

    Techniques: Control, Activation Assay, Phospho-proteomics, Mass Spectrometry, Binding Assay

    a, Heatmap and average profile plots of CUT&RUN tracks centered on significant H3K9ac-down peaks (2,085 regions, *p<0.05) in SGF29 KO versus control SU-DIPGXIII cells, revealing moderate H3K27M enrichment and an overlap between these peaks and active enhancer marks (H3K4me1/H3K27ac enriched). b, Genome browser snapshot of the LMNA gene body showing H3K9ac-up peaks co-localizing with active chromatin marks. c, Heatmap and average profile plots of CUT&RUN tracks from SGF29 KO versus control SU-DIPGXIII cells centered around the significant H3K4me3-up peaks (861 regions, *p<0.05) revealing lower H3K27M binding and a poised enhancer chromatin signature (increased H3K4me1/H3K27ac ratio). d, Genome browser snapshot of the SLC44A3 gene body showing SGF29 KO-increased H3K4me3 peaks that co-localized with H3K9ac, H3K27ac, and H3K4me1. e, Pie charts showing the overlap between the H3K9ac- and H3K4me3-up peaks and various genomic elements suggesting SGF29KO results leads to increased H3K9ac primarily at intronic and intergenic regions and increased H3K4me3 at promoters. f-g, Consensus transcription factor-binding sites in the H3K9ac-up ( f ) and H3K4me3-up ( g ) peaks from HOMER motif analysis. AP-1 family transcription factor binding sites were overrepresented in the H3K9ac-up peaks, whereas binding sites for interferon-responsive transcription factors (ISRE and IRF2) were enriched in the H3K4me3-up peaks. h-I, Fold enrichment of transcription factor and chromatin regulator binding sites, as catalogued in the ChIP Atlas database, within the H3K9ac- ( h ) and H3K4me3-up ( i ) peak sets. These analyses suggest an overlap between the H3K9ac-up peaks and OLIG2 and SWI/SNF binding sites and an overlap between the H3K4me3-up peaks and known PRC2 binding sites.

    Journal: bioRxiv

    Article Title: SAGA/ATAC complexes sustain aberrant chromatin regulation and promote tumorigenesis in diffuse midline glioma

    doi: 10.64898/2026.01.22.701194

    Figure Lengend Snippet: a, Heatmap and average profile plots of CUT&RUN tracks centered on significant H3K9ac-down peaks (2,085 regions, *p<0.05) in SGF29 KO versus control SU-DIPGXIII cells, revealing moderate H3K27M enrichment and an overlap between these peaks and active enhancer marks (H3K4me1/H3K27ac enriched). b, Genome browser snapshot of the LMNA gene body showing H3K9ac-up peaks co-localizing with active chromatin marks. c, Heatmap and average profile plots of CUT&RUN tracks from SGF29 KO versus control SU-DIPGXIII cells centered around the significant H3K4me3-up peaks (861 regions, *p<0.05) revealing lower H3K27M binding and a poised enhancer chromatin signature (increased H3K4me1/H3K27ac ratio). d, Genome browser snapshot of the SLC44A3 gene body showing SGF29 KO-increased H3K4me3 peaks that co-localized with H3K9ac, H3K27ac, and H3K4me1. e, Pie charts showing the overlap between the H3K9ac- and H3K4me3-up peaks and various genomic elements suggesting SGF29KO results leads to increased H3K9ac primarily at intronic and intergenic regions and increased H3K4me3 at promoters. f-g, Consensus transcription factor-binding sites in the H3K9ac-up ( f ) and H3K4me3-up ( g ) peaks from HOMER motif analysis. AP-1 family transcription factor binding sites were overrepresented in the H3K9ac-up peaks, whereas binding sites for interferon-responsive transcription factors (ISRE and IRF2) were enriched in the H3K4me3-up peaks. h-I, Fold enrichment of transcription factor and chromatin regulator binding sites, as catalogued in the ChIP Atlas database, within the H3K9ac- ( h ) and H3K4me3-up ( i ) peak sets. These analyses suggest an overlap between the H3K9ac-up peaks and OLIG2 and SWI/SNF binding sites and an overlap between the H3K4me3-up peaks and known PRC2 binding sites.

    Article Snippet: H3K9ac primary antibody stock (cat# 9649, Cell Signaling Technology) was prepared at 1:3,000 in primary antibody dilution buffer (0.3% triton-X 100, 1% BSA, 1xPBS) and allowed to incubate overnight at room temperature.

    Techniques: Control, Binding Assay

    a, Heatmap of RNAseq Z-scores summarizing differentially expressed genes (DEGs) in SGF29 KO SU-DIPGXIII and BT245 DMG cells and in SU-DIPGXIII cells following vehicle (DMSO) or HAT inhibitor treatment (GSK4027 and CPTH2). b-c, Venn diagrams illustrating the overlap between the H3K9ac- and H3K4me3-down peaks from the CUT&RUN analyses (see Fig. 4b -c ) and the significantly downregulated transcripts from the RNAseq analysis of SGF29 KO versus control cells ( b ) or HATi-versus vehicle-treated cells ( c ). d-e, GO analysis of genes located within ±30 kb of the H3K9ac-down peaks ( d ) and associated with the HATi-downregulated transcripts ( e ). f-g, GSEA on the significant DEGs in the SGF29 KO versus control cells ( f ) and in the HATi-treated versus vehicle-treated cells ( g ), suggesting a downregulation of MYC and mTOR target genes and metabolic genes associated with malignancy. In panels d-e , downregulated gene sets associated with metabolic regulation are shown in green. h-i, GO analysis of genes located within ±30 kb of the H3K4me3-down peaks ( h ), or showing decreased expression upon SGF29 KO in the RNAseq study ( i ), indicating reduced H3K4me3 binding and transcription of genes involved in neuronal and glial differentiation (shown in purple). j-k, GO analysis of genes located within ±30 kb of H3K9ac-up peaks ( j ) or showing increased expression in the RNAseq analysis of SGF29 KO cells ( k ), indicating increased H3K9ac binding and transcription of genes related to the extracellular matrix (ECM) and metabolic regulation (shown in blue and green, respectively). m-o, Kaplan-Meier survival curves grouping pediatric brain tumors by high and low protein expression of SAGA/ATAC gene targets suggesting that increased expression of the SAGA/ATAC-induced gene, KDM1A, correlates with worse clinical outcomes ( m ), whereas the SAGA/ATAC-repressed genes, STX3 and TMBIM1, correlate with improved survival, n-o .

    Journal: bioRxiv

    Article Title: SAGA/ATAC complexes sustain aberrant chromatin regulation and promote tumorigenesis in diffuse midline glioma

    doi: 10.64898/2026.01.22.701194

    Figure Lengend Snippet: a, Heatmap of RNAseq Z-scores summarizing differentially expressed genes (DEGs) in SGF29 KO SU-DIPGXIII and BT245 DMG cells and in SU-DIPGXIII cells following vehicle (DMSO) or HAT inhibitor treatment (GSK4027 and CPTH2). b-c, Venn diagrams illustrating the overlap between the H3K9ac- and H3K4me3-down peaks from the CUT&RUN analyses (see Fig. 4b -c ) and the significantly downregulated transcripts from the RNAseq analysis of SGF29 KO versus control cells ( b ) or HATi-versus vehicle-treated cells ( c ). d-e, GO analysis of genes located within ±30 kb of the H3K9ac-down peaks ( d ) and associated with the HATi-downregulated transcripts ( e ). f-g, GSEA on the significant DEGs in the SGF29 KO versus control cells ( f ) and in the HATi-treated versus vehicle-treated cells ( g ), suggesting a downregulation of MYC and mTOR target genes and metabolic genes associated with malignancy. In panels d-e , downregulated gene sets associated with metabolic regulation are shown in green. h-i, GO analysis of genes located within ±30 kb of the H3K4me3-down peaks ( h ), or showing decreased expression upon SGF29 KO in the RNAseq study ( i ), indicating reduced H3K4me3 binding and transcription of genes involved in neuronal and glial differentiation (shown in purple). j-k, GO analysis of genes located within ±30 kb of H3K9ac-up peaks ( j ) or showing increased expression in the RNAseq analysis of SGF29 KO cells ( k ), indicating increased H3K9ac binding and transcription of genes related to the extracellular matrix (ECM) and metabolic regulation (shown in blue and green, respectively). m-o, Kaplan-Meier survival curves grouping pediatric brain tumors by high and low protein expression of SAGA/ATAC gene targets suggesting that increased expression of the SAGA/ATAC-induced gene, KDM1A, correlates with worse clinical outcomes ( m ), whereas the SAGA/ATAC-repressed genes, STX3 and TMBIM1, correlate with improved survival, n-o .

    Article Snippet: H3K9ac primary antibody stock (cat# 9649, Cell Signaling Technology) was prepared at 1:3,000 in primary antibody dilution buffer (0.3% triton-X 100, 1% BSA, 1xPBS) and allowed to incubate overnight at room temperature.

    Techniques: Control, Expressing, Binding Assay