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brd4 protac  (TargetMol)


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    Structured Review

    TargetMol brd4 protac
    a and b ) Immunoblots showing depletion of <t>BRD4-L</t> and <t>BRD4-S</t> after 4 hours of ZxH-3-26 treatment (ZxH, BRD4-specific PROTAC) (a); dTAGV-1 and dTAG13 mediated BRD4 degradation in BRD4-dTAG hESCs (b), BRD3 and β-ACTIN serve as controls. c ) Time-course heatmap of RNA-seq data (4 hours, 8 hours, 20 hours) of PROTAC treatment and 20 hours of dTAGV-1 treatment in BRD4-dTAG hESCs comparing log2fold change values across four k-means clusters (C1–C4) based on differential expression levels, indicating similar directional changes at least in two of the ZxH treatment time points (left). Heatmaps of CUT&Tag counts per million reads (CPM) signal for short and long isoforms of BRD4 (Diagenode and Abcam antibodies) (middle). Enrichment of GO biological processes of the genes in the four clusters (right). d ) Genome-browser visualization of CUT&Tag for BRD4 performed using two antibodies, along with average RNAseq signal (n=3 replicates), performed 8 hours after DMSO and ZxH treatment in H9 hESCs at representative neuronal and developmental genes, along with known BRD4 target gene MYC. e ) Percentage peak overlap for BRD4, EED, RAD21, NIPBL, serine-5 phosphorylated RNA Pol II (RNA-Pol II s5p), H3K27ac, H3K4me3, and H3K27me3 across 15 ChromHMM states in H9-hESCs.
    Brd4 Protac, supplied by TargetMol, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/brd4 protac/product/TargetMol
    Average 94 stars, based on 1 article reviews
    brd4 protac - by Bioz Stars, 2026-03
    94/100 stars

    Images

    1) Product Images from "BRD4 represses developmental and neuronal genes through interactions with polycomb complexes"

    Article Title: BRD4 represses developmental and neuronal genes through interactions with polycomb complexes

    Journal: bioRxiv

    doi: 10.64898/2026.01.31.702994

    a and b ) Immunoblots showing depletion of BRD4-L and BRD4-S after 4 hours of ZxH-3-26 treatment (ZxH, BRD4-specific PROTAC) (a); dTAGV-1 and dTAG13 mediated BRD4 degradation in BRD4-dTAG hESCs (b), BRD3 and β-ACTIN serve as controls. c ) Time-course heatmap of RNA-seq data (4 hours, 8 hours, 20 hours) of PROTAC treatment and 20 hours of dTAGV-1 treatment in BRD4-dTAG hESCs comparing log2fold change values across four k-means clusters (C1–C4) based on differential expression levels, indicating similar directional changes at least in two of the ZxH treatment time points (left). Heatmaps of CUT&Tag counts per million reads (CPM) signal for short and long isoforms of BRD4 (Diagenode and Abcam antibodies) (middle). Enrichment of GO biological processes of the genes in the four clusters (right). d ) Genome-browser visualization of CUT&Tag for BRD4 performed using two antibodies, along with average RNAseq signal (n=3 replicates), performed 8 hours after DMSO and ZxH treatment in H9 hESCs at representative neuronal and developmental genes, along with known BRD4 target gene MYC. e ) Percentage peak overlap for BRD4, EED, RAD21, NIPBL, serine-5 phosphorylated RNA Pol II (RNA-Pol II s5p), H3K27ac, H3K4me3, and H3K27me3 across 15 ChromHMM states in H9-hESCs.
    Figure Legend Snippet: a and b ) Immunoblots showing depletion of BRD4-L and BRD4-S after 4 hours of ZxH-3-26 treatment (ZxH, BRD4-specific PROTAC) (a); dTAGV-1 and dTAG13 mediated BRD4 degradation in BRD4-dTAG hESCs (b), BRD3 and β-ACTIN serve as controls. c ) Time-course heatmap of RNA-seq data (4 hours, 8 hours, 20 hours) of PROTAC treatment and 20 hours of dTAGV-1 treatment in BRD4-dTAG hESCs comparing log2fold change values across four k-means clusters (C1–C4) based on differential expression levels, indicating similar directional changes at least in two of the ZxH treatment time points (left). Heatmaps of CUT&Tag counts per million reads (CPM) signal for short and long isoforms of BRD4 (Diagenode and Abcam antibodies) (middle). Enrichment of GO biological processes of the genes in the four clusters (right). d ) Genome-browser visualization of CUT&Tag for BRD4 performed using two antibodies, along with average RNAseq signal (n=3 replicates), performed 8 hours after DMSO and ZxH treatment in H9 hESCs at representative neuronal and developmental genes, along with known BRD4 target gene MYC. e ) Percentage peak overlap for BRD4, EED, RAD21, NIPBL, serine-5 phosphorylated RNA Pol II (RNA-Pol II s5p), H3K27ac, H3K4me3, and H3K27me3 across 15 ChromHMM states in H9-hESCs.

    Techniques Used: Western Blot, RNA Sequencing, Quantitative Proteomics, RNA sequencing

    a) Pairwise peak intersection for chromatin modifications. Values indicate the fraction of overlap between peak-sets. Horizontal comparison shows the percentage of overlap between each peak set on the X-axis, with peak sets compared on the Y-axis, and vice versa. b ) Heatmaps of CUT&Tag counts per million reads (CPM) signal for BRD4 (BRD4, Diagenode antibody), BRD4(Abcam antibody), H3K27me3, H3K4me3, H3K27ac, CUT&RUN for BRD2, BRD3, EED and EZH2, ChIPseq data for PRC1.6 components (PCGF6, MAX, MYC), along with PRC1 component (CBX8 and RING1B). Clustered based on enrichment of PRC1.6 components, active (H3K4me3), bivalent (H3K27me3+ & H3K4me3+), and other gene promoters. c ) Venn diagrams and Metascape functional annotations (below) of upregulated (left, in purple) and downregulated (right, in purple) genes following 8 hours of ZxH-mediated BRD4 degradation and in two PCGF6 knockout human pluripotent stem cell lines (data from Lan et.al. 2022). d ) Similar to (b), but clustering based on commonly upregulated genes (clusters 1-3). Upregulated gene promoters are categorized by their bivalent or active chromatin modifications. e ) Genome-browser visualization of BRD4, MAX, and bivalent histone modifications, along with average TTseq signal (n=3 replicates), performed 1 hour after DMSO and dTAGV-1 treatment in BRD4-dTAG hESCs (Western blotting showing BRD4 degradation in ).
    Figure Legend Snippet: a) Pairwise peak intersection for chromatin modifications. Values indicate the fraction of overlap between peak-sets. Horizontal comparison shows the percentage of overlap between each peak set on the X-axis, with peak sets compared on the Y-axis, and vice versa. b ) Heatmaps of CUT&Tag counts per million reads (CPM) signal for BRD4 (BRD4, Diagenode antibody), BRD4(Abcam antibody), H3K27me3, H3K4me3, H3K27ac, CUT&RUN for BRD2, BRD3, EED and EZH2, ChIPseq data for PRC1.6 components (PCGF6, MAX, MYC), along with PRC1 component (CBX8 and RING1B). Clustered based on enrichment of PRC1.6 components, active (H3K4me3), bivalent (H3K27me3+ & H3K4me3+), and other gene promoters. c ) Venn diagrams and Metascape functional annotations (below) of upregulated (left, in purple) and downregulated (right, in purple) genes following 8 hours of ZxH-mediated BRD4 degradation and in two PCGF6 knockout human pluripotent stem cell lines (data from Lan et.al. 2022). d ) Similar to (b), but clustering based on commonly upregulated genes (clusters 1-3). Upregulated gene promoters are categorized by their bivalent or active chromatin modifications. e ) Genome-browser visualization of BRD4, MAX, and bivalent histone modifications, along with average TTseq signal (n=3 replicates), performed 1 hour after DMSO and dTAGV-1 treatment in BRD4-dTAG hESCs (Western blotting showing BRD4 degradation in ).

    Techniques Used: Comparison, Functional Assay, Knock-Out, Western Blot

    a ) Dot plots showing log2 fold enrichment of BRD proteins in the proximal interactome (Turbo-ID) for PRC1 and PRC2 proteins from mouse embryonic stem cells (mESCs), data from . The size of the circle represents the log2 fold enrichment in BRD4 IP relative to IgG control. b ) Like (a) but for enrichment of PRC proteins in BRD4 immunoprecipitation from K562 cells, data from , . The size of the circle represents the t-test difference between the BRD4 IP and the IgG control. c) Immunoblots of endogenous BRD4 IP in H9 hESCs using antibodies that recognise both short and long BRD4 isoforms, with antibodies detecting RING1B, CBX7, CBX4, H3K27ac, H3K23ac, H3K27me3, along with reverse IP with RING1B and MGA antibodies followed by immunoblots for BRD4 and H3K27me3. d ) Immunoblots of GFP-trap co-immunoprecipitation of GFP-BRD4 long isoform (GFP-BRD4L) with Flag-tagged E2F6 and L3MBTL2, HA-tagged EED and EZH2. Immunoblots for β-ACTIN served as controls, e ) Heatmap of CUT&Tag for BRD4, EED, H3K23ac and ChIP-seq data for H3K14ac and RING1B, at active (H3K4me3+), bivalent (H3K4me3+/H3K27me3+) and PRC2 repressed promoters (H3K27me3+). f ) AlphaScreen counts titration of BRD4-BD1 and -BD2 interaction with H3K14ac/23ac showing that only BRD4-BD2 interacts with H3K14ac/23ac. Normalized average alpha counts of three replicates were set relative to the highest WT. g) Immunoblots of biotinylated H3K14/K23ac pulldown for N-terminal His-FLAG tagged BRD4 (N-terminal 412 amino acids), in the presence of increasing concentration of iBET-BD2 (iBD2).
    Figure Legend Snippet: a ) Dot plots showing log2 fold enrichment of BRD proteins in the proximal interactome (Turbo-ID) for PRC1 and PRC2 proteins from mouse embryonic stem cells (mESCs), data from . The size of the circle represents the log2 fold enrichment in BRD4 IP relative to IgG control. b ) Like (a) but for enrichment of PRC proteins in BRD4 immunoprecipitation from K562 cells, data from , . The size of the circle represents the t-test difference between the BRD4 IP and the IgG control. c) Immunoblots of endogenous BRD4 IP in H9 hESCs using antibodies that recognise both short and long BRD4 isoforms, with antibodies detecting RING1B, CBX7, CBX4, H3K27ac, H3K23ac, H3K27me3, along with reverse IP with RING1B and MGA antibodies followed by immunoblots for BRD4 and H3K27me3. d ) Immunoblots of GFP-trap co-immunoprecipitation of GFP-BRD4 long isoform (GFP-BRD4L) with Flag-tagged E2F6 and L3MBTL2, HA-tagged EED and EZH2. Immunoblots for β-ACTIN served as controls, e ) Heatmap of CUT&Tag for BRD4, EED, H3K23ac and ChIP-seq data for H3K14ac and RING1B, at active (H3K4me3+), bivalent (H3K4me3+/H3K27me3+) and PRC2 repressed promoters (H3K27me3+). f ) AlphaScreen counts titration of BRD4-BD1 and -BD2 interaction with H3K14ac/23ac showing that only BRD4-BD2 interacts with H3K14ac/23ac. Normalized average alpha counts of three replicates were set relative to the highest WT. g) Immunoblots of biotinylated H3K14/K23ac pulldown for N-terminal His-FLAG tagged BRD4 (N-terminal 412 amino acids), in the presence of increasing concentration of iBET-BD2 (iBD2).

    Techniques Used: Control, Immunoprecipitation, Western Blot, ChIP-sequencing, Amplified Luminescent Proximity Homogenous Assay, Titration, Concentration Assay

    a ) Heatmap showing BRD4 signal (CPM) for WT and BRD4 BD2 mut1 at protein-coding genes and active enhancers of hESCs. b ) Scatter plot comparing log2 fold change (log2 FC) values for BRD4 BD2-Mut1/WT (X-axis) against BRD4 dTAG/DMSO (Y-axis) conditions. GSEA GO-biological process enrichment lists for genes that are commonly up (red) and down (blue) regulated in both conditions (right). c ) Representative genome browser snapshot displaying signals for RNA-seq WT, BRD4-mutant1, DMSO and dTAGV-1 along with MAX, BRD4, H3K27me3 and H3K4me3. For CUT&Tag (BRD2,3,4, H3K4me3, H3K27me3) and CUT&Run (EED, ser5 Pol-II), the signal is compared as CPM and MAX as ChIP-seq signal from ChIP-atlas. d) Heatmaps displaying H3K27me3 and H3K4me3 ChIP-seq signals along with RNA-seq normalized counts at bivalent genes in WT-H9 and H9-derived BRD4 BD2 mut1 neurons. e ) MA plot illustrating differential gene expression in BRD4 BD2 mut1 compared to WT neurons. Significantly up- and down-regulated bivalent and non-bivalent genes are highlighted in red and blue, respectively. The number of differentially expressed genes with a log2 fold change of 1 and an adjusted p-value of <0.05 is indicated (right). f ) Genome browser tracks showing ChIP-seq data for bivalent histone modifications (H3K4me3 and H3K27me3), fold change over input and RNA-seq (RPKM) for neuronal genes.
    Figure Legend Snippet: a ) Heatmap showing BRD4 signal (CPM) for WT and BRD4 BD2 mut1 at protein-coding genes and active enhancers of hESCs. b ) Scatter plot comparing log2 fold change (log2 FC) values for BRD4 BD2-Mut1/WT (X-axis) against BRD4 dTAG/DMSO (Y-axis) conditions. GSEA GO-biological process enrichment lists for genes that are commonly up (red) and down (blue) regulated in both conditions (right). c ) Representative genome browser snapshot displaying signals for RNA-seq WT, BRD4-mutant1, DMSO and dTAGV-1 along with MAX, BRD4, H3K27me3 and H3K4me3. For CUT&Tag (BRD2,3,4, H3K4me3, H3K27me3) and CUT&Run (EED, ser5 Pol-II), the signal is compared as CPM and MAX as ChIP-seq signal from ChIP-atlas. d) Heatmaps displaying H3K27me3 and H3K4me3 ChIP-seq signals along with RNA-seq normalized counts at bivalent genes in WT-H9 and H9-derived BRD4 BD2 mut1 neurons. e ) MA plot illustrating differential gene expression in BRD4 BD2 mut1 compared to WT neurons. Significantly up- and down-regulated bivalent and non-bivalent genes are highlighted in red and blue, respectively. The number of differentially expressed genes with a log2 fold change of 1 and an adjusted p-value of <0.05 is indicated (right). f ) Genome browser tracks showing ChIP-seq data for bivalent histone modifications (H3K4me3 and H3K27me3), fold change over input and RNA-seq (RPKM) for neuronal genes.

    Techniques Used: RNA Sequencing, ChIP-sequencing, Derivative Assay, Gene Expression

    a) Schematic representation of the protocol used to generate unguided neuronal organoids (UNOs), with images of UNO WT at 5,8, and 41 days. b ) Immunofluorescence images of UNOs at day 41 stained for markers of neuronal progenitor (SOX2), post-mitotic early neurons (TUJ1), scale bars: 100 μm. c ) MA plot for RNA-seq data illustrating differentially expressed genes in day 41 UNOs following 20 hours of BRD4 PROTAC (ZxH) treatment (n=3 independent organoids). d) Geneontology (GO) enrichment analyses of up- and down-regulated genes. e ) Genome browser tracks for normalized reads at TSS for pseudo bulk scCUT&Tag and bulk RNA-seq for immediate early genes (IEGs) upon 20 h BRD4 PROTAC in UNOs (data from (c)). f) UMAP plots stratified by genotype show the annotated cell lineages: WT, BRD4 BD2 mut2, and BRD4 BD2 mut3. Cell clusters are identified by colour, illustrating the contribution of each genotype to specific lineages, such as Glutamatergic, GABAnergic, optic vesicle, and RPE. g) Stacked bar charts for 41-day and 63-day UNOs, detailing the percentage of cells for each annotated cell type across the WT, BRD4 BD2 mut2, and BRD4 BD2 mut3 UNOs. h) Representative bright-field microscopy images of 41-day UNOs, Scale bar=1mm (rest of the images in source file). i) Dot plots showing the average expression level (Z scores) and percentage of cells expressed in Glutamatergic, Diencephalic-1(pink in UMAP), and Diencephalic-2(blue in UMAP), and G2M clusters for bivalent genes that showed significant differential expression in the scRNA-seq data in BRD4-BD2 mut1 and BRD4-BD2 mut2 UNOs.
    Figure Legend Snippet: a) Schematic representation of the protocol used to generate unguided neuronal organoids (UNOs), with images of UNO WT at 5,8, and 41 days. b ) Immunofluorescence images of UNOs at day 41 stained for markers of neuronal progenitor (SOX2), post-mitotic early neurons (TUJ1), scale bars: 100 μm. c ) MA plot for RNA-seq data illustrating differentially expressed genes in day 41 UNOs following 20 hours of BRD4 PROTAC (ZxH) treatment (n=3 independent organoids). d) Geneontology (GO) enrichment analyses of up- and down-regulated genes. e ) Genome browser tracks for normalized reads at TSS for pseudo bulk scCUT&Tag and bulk RNA-seq for immediate early genes (IEGs) upon 20 h BRD4 PROTAC in UNOs (data from (c)). f) UMAP plots stratified by genotype show the annotated cell lineages: WT, BRD4 BD2 mut2, and BRD4 BD2 mut3. Cell clusters are identified by colour, illustrating the contribution of each genotype to specific lineages, such as Glutamatergic, GABAnergic, optic vesicle, and RPE. g) Stacked bar charts for 41-day and 63-day UNOs, detailing the percentage of cells for each annotated cell type across the WT, BRD4 BD2 mut2, and BRD4 BD2 mut3 UNOs. h) Representative bright-field microscopy images of 41-day UNOs, Scale bar=1mm (rest of the images in source file). i) Dot plots showing the average expression level (Z scores) and percentage of cells expressed in Glutamatergic, Diencephalic-1(pink in UMAP), and Diencephalic-2(blue in UMAP), and G2M clusters for bivalent genes that showed significant differential expression in the scRNA-seq data in BRD4-BD2 mut1 and BRD4-BD2 mut2 UNOs.

    Techniques Used: Immunofluorescence, Staining, RNA Sequencing, Microscopy, Expressing, Quantitative Proteomics

    a) UMAP plots show the distribution of single-cell ATAC sequencing (scATAC-seq) data clustered by genotypes WT and BRD4 BD2 mut2 and annotated by cell lineage for WT and BRD4 BD2 mut2. b ) Z-scores (high scores in red and low scores are in blue) showing top transcription factor motifs enriched at Diencephalic, Glutamatergic, G2M and GABAnergic lineages across scATACseq peaks, which are gained in BRD4 BD2 mut 2 UNO compared to WT control. The complete list of enriched TFs is in the source data table.
    Figure Legend Snippet: a) UMAP plots show the distribution of single-cell ATAC sequencing (scATAC-seq) data clustered by genotypes WT and BRD4 BD2 mut2 and annotated by cell lineage for WT and BRD4 BD2 mut2. b ) Z-scores (high scores in red and low scores are in blue) showing top transcription factor motifs enriched at Diencephalic, Glutamatergic, G2M and GABAnergic lineages across scATACseq peaks, which are gained in BRD4 BD2 mut 2 UNO compared to WT control. The complete list of enriched TFs is in the source data table.

    Techniques Used: Single Cell, Sequencing, Control



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    Adooq Bioscience LLC brd4-degrading protac arv-825
    (A) Schematic showing the domain architecture of the <t>Brd4</t> protein, and how its bromodomains are being used in several combinations to make acyl-eCRs and to determine how the valency of reader domains affects drug perturbations. (B) Immunofluorescence images of mESCs showing the nuclear localization of different valencies of the second bromodomain from BRD4 in the Parbit system (green) and their colocalization with Hoechst (magenta) after drug treatments. All scale bars are 5 µM. Drug treatments were performed at 1 μM concentrations for 24 hours. Bottom panel: Representative pseudocolored images (eGFP signal) depicting the differences in fluorescence intensities in different cell lines. A gradient pseudocolor bar (signal intensity) is shown at the left. (C) Normalized FACS data showing the effects of ARV-825 PROTAC treatment on cells expressing several combinations of bromodomains from BRD4. The percentage represents the GFP signal in treated cells as a ratio of the signal observed in untreated samples of the same cell type, after normalizing for the autofluorescence of the drug treatment in wild-type cells.
    Brd4 Degrading Protac Arv 825, supplied by Adooq Bioscience LLC, 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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    brd4-degrading protac arv-825 - by Bioz Stars, 2026-03
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    Boehringer Ingelheim brd4 selective protac mz1
    (A) Schematic showing the domain architecture of the <t>Brd4</t> protein, and how its bromodomains are being used in several combinations to make acyl-eCRs and to determine how the valency of reader domains affects drug perturbations. (B) Immunofluorescence images of mESCs showing the nuclear localization of different valencies of the second bromodomain from BRD4 in the Parbit system (green) and their colocalization with Hoechst (magenta) after drug treatments. All scale bars are 5 µM. Drug treatments were performed at 1 μM concentrations for 24 hours. Bottom panel: Representative pseudocolored images (eGFP signal) depicting the differences in fluorescence intensities in different cell lines. A gradient pseudocolor bar (signal intensity) is shown at the left. (C) Normalized FACS data showing the effects of ARV-825 PROTAC treatment on cells expressing several combinations of bromodomains from BRD4. The percentage represents the GFP signal in treated cells as a ratio of the signal observed in untreated samples of the same cell type, after normalizing for the autofluorescence of the drug treatment in wild-type cells.
    Brd4 Selective Protac Mz1, supplied by Boehringer Ingelheim, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/brd4 selective protac mz1/product/Boehringer Ingelheim
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    Image Search Results


    a and b ) Immunoblots showing depletion of BRD4-L and BRD4-S after 4 hours of ZxH-3-26 treatment (ZxH, BRD4-specific PROTAC) (a); dTAGV-1 and dTAG13 mediated BRD4 degradation in BRD4-dTAG hESCs (b), BRD3 and β-ACTIN serve as controls. c ) Time-course heatmap of RNA-seq data (4 hours, 8 hours, 20 hours) of PROTAC treatment and 20 hours of dTAGV-1 treatment in BRD4-dTAG hESCs comparing log2fold change values across four k-means clusters (C1–C4) based on differential expression levels, indicating similar directional changes at least in two of the ZxH treatment time points (left). Heatmaps of CUT&Tag counts per million reads (CPM) signal for short and long isoforms of BRD4 (Diagenode and Abcam antibodies) (middle). Enrichment of GO biological processes of the genes in the four clusters (right). d ) Genome-browser visualization of CUT&Tag for BRD4 performed using two antibodies, along with average RNAseq signal (n=3 replicates), performed 8 hours after DMSO and ZxH treatment in H9 hESCs at representative neuronal and developmental genes, along with known BRD4 target gene MYC. e ) Percentage peak overlap for BRD4, EED, RAD21, NIPBL, serine-5 phosphorylated RNA Pol II (RNA-Pol II s5p), H3K27ac, H3K4me3, and H3K27me3 across 15 ChromHMM states in H9-hESCs.

    Journal: bioRxiv

    Article Title: BRD4 represses developmental and neuronal genes through interactions with polycomb complexes

    doi: 10.64898/2026.01.31.702994

    Figure Lengend Snippet: a and b ) Immunoblots showing depletion of BRD4-L and BRD4-S after 4 hours of ZxH-3-26 treatment (ZxH, BRD4-specific PROTAC) (a); dTAGV-1 and dTAG13 mediated BRD4 degradation in BRD4-dTAG hESCs (b), BRD3 and β-ACTIN serve as controls. c ) Time-course heatmap of RNA-seq data (4 hours, 8 hours, 20 hours) of PROTAC treatment and 20 hours of dTAGV-1 treatment in BRD4-dTAG hESCs comparing log2fold change values across four k-means clusters (C1–C4) based on differential expression levels, indicating similar directional changes at least in two of the ZxH treatment time points (left). Heatmaps of CUT&Tag counts per million reads (CPM) signal for short and long isoforms of BRD4 (Diagenode and Abcam antibodies) (middle). Enrichment of GO biological processes of the genes in the four clusters (right). d ) Genome-browser visualization of CUT&Tag for BRD4 performed using two antibodies, along with average RNAseq signal (n=3 replicates), performed 8 hours after DMSO and ZxH treatment in H9 hESCs at representative neuronal and developmental genes, along with known BRD4 target gene MYC. e ) Percentage peak overlap for BRD4, EED, RAD21, NIPBL, serine-5 phosphorylated RNA Pol II (RNA-Pol II s5p), H3K27ac, H3K4me3, and H3K27me3 across 15 ChromHMM states in H9-hESCs.

    Article Snippet: RNA-seq libraries upon BRD4 PROTAC (TargetMol Chemicals, Cat. # T17297, ZxH-3-26) in H9 hESCs, and dTAGV-1 treatment in H9 hESC-BRD4-dTAG lines were generated using NEBNext ® Poly(A) mRNA Magnetic Isolation Module (NEB, Cat.# E7490L) followed by NEBNext ® Ultra TM II RNA (NEB, Cat.# E7770L).

    Techniques: Western Blot, RNA Sequencing, Quantitative Proteomics, RNA sequencing

    a) Pairwise peak intersection for chromatin modifications. Values indicate the fraction of overlap between peak-sets. Horizontal comparison shows the percentage of overlap between each peak set on the X-axis, with peak sets compared on the Y-axis, and vice versa. b ) Heatmaps of CUT&Tag counts per million reads (CPM) signal for BRD4 (BRD4, Diagenode antibody), BRD4(Abcam antibody), H3K27me3, H3K4me3, H3K27ac, CUT&RUN for BRD2, BRD3, EED and EZH2, ChIPseq data for PRC1.6 components (PCGF6, MAX, MYC), along with PRC1 component (CBX8 and RING1B). Clustered based on enrichment of PRC1.6 components, active (H3K4me3), bivalent (H3K27me3+ & H3K4me3+), and other gene promoters. c ) Venn diagrams and Metascape functional annotations (below) of upregulated (left, in purple) and downregulated (right, in purple) genes following 8 hours of ZxH-mediated BRD4 degradation and in two PCGF6 knockout human pluripotent stem cell lines (data from Lan et.al. 2022). d ) Similar to (b), but clustering based on commonly upregulated genes (clusters 1-3). Upregulated gene promoters are categorized by their bivalent or active chromatin modifications. e ) Genome-browser visualization of BRD4, MAX, and bivalent histone modifications, along with average TTseq signal (n=3 replicates), performed 1 hour after DMSO and dTAGV-1 treatment in BRD4-dTAG hESCs (Western blotting showing BRD4 degradation in ).

    Journal: bioRxiv

    Article Title: BRD4 represses developmental and neuronal genes through interactions with polycomb complexes

    doi: 10.64898/2026.01.31.702994

    Figure Lengend Snippet: a) Pairwise peak intersection for chromatin modifications. Values indicate the fraction of overlap between peak-sets. Horizontal comparison shows the percentage of overlap between each peak set on the X-axis, with peak sets compared on the Y-axis, and vice versa. b ) Heatmaps of CUT&Tag counts per million reads (CPM) signal for BRD4 (BRD4, Diagenode antibody), BRD4(Abcam antibody), H3K27me3, H3K4me3, H3K27ac, CUT&RUN for BRD2, BRD3, EED and EZH2, ChIPseq data for PRC1.6 components (PCGF6, MAX, MYC), along with PRC1 component (CBX8 and RING1B). Clustered based on enrichment of PRC1.6 components, active (H3K4me3), bivalent (H3K27me3+ & H3K4me3+), and other gene promoters. c ) Venn diagrams and Metascape functional annotations (below) of upregulated (left, in purple) and downregulated (right, in purple) genes following 8 hours of ZxH-mediated BRD4 degradation and in two PCGF6 knockout human pluripotent stem cell lines (data from Lan et.al. 2022). d ) Similar to (b), but clustering based on commonly upregulated genes (clusters 1-3). Upregulated gene promoters are categorized by their bivalent or active chromatin modifications. e ) Genome-browser visualization of BRD4, MAX, and bivalent histone modifications, along with average TTseq signal (n=3 replicates), performed 1 hour after DMSO and dTAGV-1 treatment in BRD4-dTAG hESCs (Western blotting showing BRD4 degradation in ).

    Article Snippet: RNA-seq libraries upon BRD4 PROTAC (TargetMol Chemicals, Cat. # T17297, ZxH-3-26) in H9 hESCs, and dTAGV-1 treatment in H9 hESC-BRD4-dTAG lines were generated using NEBNext ® Poly(A) mRNA Magnetic Isolation Module (NEB, Cat.# E7490L) followed by NEBNext ® Ultra TM II RNA (NEB, Cat.# E7770L).

    Techniques: Comparison, Functional Assay, Knock-Out, Western Blot

    a ) Dot plots showing log2 fold enrichment of BRD proteins in the proximal interactome (Turbo-ID) for PRC1 and PRC2 proteins from mouse embryonic stem cells (mESCs), data from . The size of the circle represents the log2 fold enrichment in BRD4 IP relative to IgG control. b ) Like (a) but for enrichment of PRC proteins in BRD4 immunoprecipitation from K562 cells, data from , . The size of the circle represents the t-test difference between the BRD4 IP and the IgG control. c) Immunoblots of endogenous BRD4 IP in H9 hESCs using antibodies that recognise both short and long BRD4 isoforms, with antibodies detecting RING1B, CBX7, CBX4, H3K27ac, H3K23ac, H3K27me3, along with reverse IP with RING1B and MGA antibodies followed by immunoblots for BRD4 and H3K27me3. d ) Immunoblots of GFP-trap co-immunoprecipitation of GFP-BRD4 long isoform (GFP-BRD4L) with Flag-tagged E2F6 and L3MBTL2, HA-tagged EED and EZH2. Immunoblots for β-ACTIN served as controls, e ) Heatmap of CUT&Tag for BRD4, EED, H3K23ac and ChIP-seq data for H3K14ac and RING1B, at active (H3K4me3+), bivalent (H3K4me3+/H3K27me3+) and PRC2 repressed promoters (H3K27me3+). f ) AlphaScreen counts titration of BRD4-BD1 and -BD2 interaction with H3K14ac/23ac showing that only BRD4-BD2 interacts with H3K14ac/23ac. Normalized average alpha counts of three replicates were set relative to the highest WT. g) Immunoblots of biotinylated H3K14/K23ac pulldown for N-terminal His-FLAG tagged BRD4 (N-terminal 412 amino acids), in the presence of increasing concentration of iBET-BD2 (iBD2).

    Journal: bioRxiv

    Article Title: BRD4 represses developmental and neuronal genes through interactions with polycomb complexes

    doi: 10.64898/2026.01.31.702994

    Figure Lengend Snippet: a ) Dot plots showing log2 fold enrichment of BRD proteins in the proximal interactome (Turbo-ID) for PRC1 and PRC2 proteins from mouse embryonic stem cells (mESCs), data from . The size of the circle represents the log2 fold enrichment in BRD4 IP relative to IgG control. b ) Like (a) but for enrichment of PRC proteins in BRD4 immunoprecipitation from K562 cells, data from , . The size of the circle represents the t-test difference between the BRD4 IP and the IgG control. c) Immunoblots of endogenous BRD4 IP in H9 hESCs using antibodies that recognise both short and long BRD4 isoforms, with antibodies detecting RING1B, CBX7, CBX4, H3K27ac, H3K23ac, H3K27me3, along with reverse IP with RING1B and MGA antibodies followed by immunoblots for BRD4 and H3K27me3. d ) Immunoblots of GFP-trap co-immunoprecipitation of GFP-BRD4 long isoform (GFP-BRD4L) with Flag-tagged E2F6 and L3MBTL2, HA-tagged EED and EZH2. Immunoblots for β-ACTIN served as controls, e ) Heatmap of CUT&Tag for BRD4, EED, H3K23ac and ChIP-seq data for H3K14ac and RING1B, at active (H3K4me3+), bivalent (H3K4me3+/H3K27me3+) and PRC2 repressed promoters (H3K27me3+). f ) AlphaScreen counts titration of BRD4-BD1 and -BD2 interaction with H3K14ac/23ac showing that only BRD4-BD2 interacts with H3K14ac/23ac. Normalized average alpha counts of three replicates were set relative to the highest WT. g) Immunoblots of biotinylated H3K14/K23ac pulldown for N-terminal His-FLAG tagged BRD4 (N-terminal 412 amino acids), in the presence of increasing concentration of iBET-BD2 (iBD2).

    Article Snippet: RNA-seq libraries upon BRD4 PROTAC (TargetMol Chemicals, Cat. # T17297, ZxH-3-26) in H9 hESCs, and dTAGV-1 treatment in H9 hESC-BRD4-dTAG lines were generated using NEBNext ® Poly(A) mRNA Magnetic Isolation Module (NEB, Cat.# E7490L) followed by NEBNext ® Ultra TM II RNA (NEB, Cat.# E7770L).

    Techniques: Control, Immunoprecipitation, Western Blot, ChIP-sequencing, Amplified Luminescent Proximity Homogenous Assay, Titration, Concentration Assay

    a ) Heatmap showing BRD4 signal (CPM) for WT and BRD4 BD2 mut1 at protein-coding genes and active enhancers of hESCs. b ) Scatter plot comparing log2 fold change (log2 FC) values for BRD4 BD2-Mut1/WT (X-axis) against BRD4 dTAG/DMSO (Y-axis) conditions. GSEA GO-biological process enrichment lists for genes that are commonly up (red) and down (blue) regulated in both conditions (right). c ) Representative genome browser snapshot displaying signals for RNA-seq WT, BRD4-mutant1, DMSO and dTAGV-1 along with MAX, BRD4, H3K27me3 and H3K4me3. For CUT&Tag (BRD2,3,4, H3K4me3, H3K27me3) and CUT&Run (EED, ser5 Pol-II), the signal is compared as CPM and MAX as ChIP-seq signal from ChIP-atlas. d) Heatmaps displaying H3K27me3 and H3K4me3 ChIP-seq signals along with RNA-seq normalized counts at bivalent genes in WT-H9 and H9-derived BRD4 BD2 mut1 neurons. e ) MA plot illustrating differential gene expression in BRD4 BD2 mut1 compared to WT neurons. Significantly up- and down-regulated bivalent and non-bivalent genes are highlighted in red and blue, respectively. The number of differentially expressed genes with a log2 fold change of 1 and an adjusted p-value of <0.05 is indicated (right). f ) Genome browser tracks showing ChIP-seq data for bivalent histone modifications (H3K4me3 and H3K27me3), fold change over input and RNA-seq (RPKM) for neuronal genes.

    Journal: bioRxiv

    Article Title: BRD4 represses developmental and neuronal genes through interactions with polycomb complexes

    doi: 10.64898/2026.01.31.702994

    Figure Lengend Snippet: a ) Heatmap showing BRD4 signal (CPM) for WT and BRD4 BD2 mut1 at protein-coding genes and active enhancers of hESCs. b ) Scatter plot comparing log2 fold change (log2 FC) values for BRD4 BD2-Mut1/WT (X-axis) against BRD4 dTAG/DMSO (Y-axis) conditions. GSEA GO-biological process enrichment lists for genes that are commonly up (red) and down (blue) regulated in both conditions (right). c ) Representative genome browser snapshot displaying signals for RNA-seq WT, BRD4-mutant1, DMSO and dTAGV-1 along with MAX, BRD4, H3K27me3 and H3K4me3. For CUT&Tag (BRD2,3,4, H3K4me3, H3K27me3) and CUT&Run (EED, ser5 Pol-II), the signal is compared as CPM and MAX as ChIP-seq signal from ChIP-atlas. d) Heatmaps displaying H3K27me3 and H3K4me3 ChIP-seq signals along with RNA-seq normalized counts at bivalent genes in WT-H9 and H9-derived BRD4 BD2 mut1 neurons. e ) MA plot illustrating differential gene expression in BRD4 BD2 mut1 compared to WT neurons. Significantly up- and down-regulated bivalent and non-bivalent genes are highlighted in red and blue, respectively. The number of differentially expressed genes with a log2 fold change of 1 and an adjusted p-value of <0.05 is indicated (right). f ) Genome browser tracks showing ChIP-seq data for bivalent histone modifications (H3K4me3 and H3K27me3), fold change over input and RNA-seq (RPKM) for neuronal genes.

    Article Snippet: RNA-seq libraries upon BRD4 PROTAC (TargetMol Chemicals, Cat. # T17297, ZxH-3-26) in H9 hESCs, and dTAGV-1 treatment in H9 hESC-BRD4-dTAG lines were generated using NEBNext ® Poly(A) mRNA Magnetic Isolation Module (NEB, Cat.# E7490L) followed by NEBNext ® Ultra TM II RNA (NEB, Cat.# E7770L).

    Techniques: RNA Sequencing, ChIP-sequencing, Derivative Assay, Gene Expression

    a) Schematic representation of the protocol used to generate unguided neuronal organoids (UNOs), with images of UNO WT at 5,8, and 41 days. b ) Immunofluorescence images of UNOs at day 41 stained for markers of neuronal progenitor (SOX2), post-mitotic early neurons (TUJ1), scale bars: 100 μm. c ) MA plot for RNA-seq data illustrating differentially expressed genes in day 41 UNOs following 20 hours of BRD4 PROTAC (ZxH) treatment (n=3 independent organoids). d) Geneontology (GO) enrichment analyses of up- and down-regulated genes. e ) Genome browser tracks for normalized reads at TSS for pseudo bulk scCUT&Tag and bulk RNA-seq for immediate early genes (IEGs) upon 20 h BRD4 PROTAC in UNOs (data from (c)). f) UMAP plots stratified by genotype show the annotated cell lineages: WT, BRD4 BD2 mut2, and BRD4 BD2 mut3. Cell clusters are identified by colour, illustrating the contribution of each genotype to specific lineages, such as Glutamatergic, GABAnergic, optic vesicle, and RPE. g) Stacked bar charts for 41-day and 63-day UNOs, detailing the percentage of cells for each annotated cell type across the WT, BRD4 BD2 mut2, and BRD4 BD2 mut3 UNOs. h) Representative bright-field microscopy images of 41-day UNOs, Scale bar=1mm (rest of the images in source file). i) Dot plots showing the average expression level (Z scores) and percentage of cells expressed in Glutamatergic, Diencephalic-1(pink in UMAP), and Diencephalic-2(blue in UMAP), and G2M clusters for bivalent genes that showed significant differential expression in the scRNA-seq data in BRD4-BD2 mut1 and BRD4-BD2 mut2 UNOs.

    Journal: bioRxiv

    Article Title: BRD4 represses developmental and neuronal genes through interactions with polycomb complexes

    doi: 10.64898/2026.01.31.702994

    Figure Lengend Snippet: a) Schematic representation of the protocol used to generate unguided neuronal organoids (UNOs), with images of UNO WT at 5,8, and 41 days. b ) Immunofluorescence images of UNOs at day 41 stained for markers of neuronal progenitor (SOX2), post-mitotic early neurons (TUJ1), scale bars: 100 μm. c ) MA plot for RNA-seq data illustrating differentially expressed genes in day 41 UNOs following 20 hours of BRD4 PROTAC (ZxH) treatment (n=3 independent organoids). d) Geneontology (GO) enrichment analyses of up- and down-regulated genes. e ) Genome browser tracks for normalized reads at TSS for pseudo bulk scCUT&Tag and bulk RNA-seq for immediate early genes (IEGs) upon 20 h BRD4 PROTAC in UNOs (data from (c)). f) UMAP plots stratified by genotype show the annotated cell lineages: WT, BRD4 BD2 mut2, and BRD4 BD2 mut3. Cell clusters are identified by colour, illustrating the contribution of each genotype to specific lineages, such as Glutamatergic, GABAnergic, optic vesicle, and RPE. g) Stacked bar charts for 41-day and 63-day UNOs, detailing the percentage of cells for each annotated cell type across the WT, BRD4 BD2 mut2, and BRD4 BD2 mut3 UNOs. h) Representative bright-field microscopy images of 41-day UNOs, Scale bar=1mm (rest of the images in source file). i) Dot plots showing the average expression level (Z scores) and percentage of cells expressed in Glutamatergic, Diencephalic-1(pink in UMAP), and Diencephalic-2(blue in UMAP), and G2M clusters for bivalent genes that showed significant differential expression in the scRNA-seq data in BRD4-BD2 mut1 and BRD4-BD2 mut2 UNOs.

    Article Snippet: RNA-seq libraries upon BRD4 PROTAC (TargetMol Chemicals, Cat. # T17297, ZxH-3-26) in H9 hESCs, and dTAGV-1 treatment in H9 hESC-BRD4-dTAG lines were generated using NEBNext ® Poly(A) mRNA Magnetic Isolation Module (NEB, Cat.# E7490L) followed by NEBNext ® Ultra TM II RNA (NEB, Cat.# E7770L).

    Techniques: Immunofluorescence, Staining, RNA Sequencing, Microscopy, Expressing, Quantitative Proteomics

    a) UMAP plots show the distribution of single-cell ATAC sequencing (scATAC-seq) data clustered by genotypes WT and BRD4 BD2 mut2 and annotated by cell lineage for WT and BRD4 BD2 mut2. b ) Z-scores (high scores in red and low scores are in blue) showing top transcription factor motifs enriched at Diencephalic, Glutamatergic, G2M and GABAnergic lineages across scATACseq peaks, which are gained in BRD4 BD2 mut 2 UNO compared to WT control. The complete list of enriched TFs is in the source data table.

    Journal: bioRxiv

    Article Title: BRD4 represses developmental and neuronal genes through interactions with polycomb complexes

    doi: 10.64898/2026.01.31.702994

    Figure Lengend Snippet: a) UMAP plots show the distribution of single-cell ATAC sequencing (scATAC-seq) data clustered by genotypes WT and BRD4 BD2 mut2 and annotated by cell lineage for WT and BRD4 BD2 mut2. b ) Z-scores (high scores in red and low scores are in blue) showing top transcription factor motifs enriched at Diencephalic, Glutamatergic, G2M and GABAnergic lineages across scATACseq peaks, which are gained in BRD4 BD2 mut 2 UNO compared to WT control. The complete list of enriched TFs is in the source data table.

    Article Snippet: RNA-seq libraries upon BRD4 PROTAC (TargetMol Chemicals, Cat. # T17297, ZxH-3-26) in H9 hESCs, and dTAGV-1 treatment in H9 hESC-BRD4-dTAG lines were generated using NEBNext ® Poly(A) mRNA Magnetic Isolation Module (NEB, Cat.# E7490L) followed by NEBNext ® Ultra TM II RNA (NEB, Cat.# E7770L).

    Techniques: Single Cell, Sequencing, Control

    A) Structure of the MDM2-recruiting BRD4 degrader A1874 formed by JQ1 (a BRD4 inhibitor) and Idasanutlin (an MDM2 antagonist). B) BRD4, MDM2, p53 and p21 protein levels in isogenic TP53 WT and KO HCT116 cells treated with 1 µM A1874 for 24 h, assessed by western blot. Vinculin (VLC) was used as loading control. C) MDM2 mRNA expression levels in TP53 WT and TP53 KO HCT116 cells treated with 1 µM A1874 for 24 h assessed by qPCR. Error bars indicate mean ± s.d. (n = 3). D) Representative immunofluorescence images of MDM2 levels in TP53 WT and KO HCT116 cells upon treatment with vehicle or 1 µM A1874 for 24 h. Quantification of MDM2 nuclear intensity from 1600 cells is shown on the right. Statistical significance was determined with unpaired t-tests. **** = p < 0.0001.

    Journal: bioRxiv

    Article Title: PROTAC-Driven Protective Therapy increases the therapeutic window of anticancer drugs

    doi: 10.64898/2026.01.12.698947

    Figure Lengend Snippet: A) Structure of the MDM2-recruiting BRD4 degrader A1874 formed by JQ1 (a BRD4 inhibitor) and Idasanutlin (an MDM2 antagonist). B) BRD4, MDM2, p53 and p21 protein levels in isogenic TP53 WT and KO HCT116 cells treated with 1 µM A1874 for 24 h, assessed by western blot. Vinculin (VLC) was used as loading control. C) MDM2 mRNA expression levels in TP53 WT and TP53 KO HCT116 cells treated with 1 µM A1874 for 24 h assessed by qPCR. Error bars indicate mean ± s.d. (n = 3). D) Representative immunofluorescence images of MDM2 levels in TP53 WT and KO HCT116 cells upon treatment with vehicle or 1 µM A1874 for 24 h. Quantification of MDM2 nuclear intensity from 1600 cells is shown on the right. Statistical significance was determined with unpaired t-tests. **** = p < 0.0001.

    Article Snippet: Cells were treated with the following compounds at the indicated doses: BRD4 PROTAC A1874 (HY-114305, MedChemExpress) at 1 μM; PARP1 PROTACs SK-575 (HY-139156, MedChemExpress) at 100 nM and 180055 (HY-170620, MedChemExpress) at 1 μM; and PARP inhibitors Talazoparib (HY-16106, MedChemExpress) and Olaparib (HY-10162, MedChemExpress) at concentrations ranging from 48 μM to 0.02 μM in 3-fold dilutions.

    Techniques: Western Blot, Control, Expressing, Immunofluorescence

    A) BRD4, MDM2, p53, and p21 protein levels in a panel of cancer cell lines treated with vehicle or 1 µM A1874 for 24 h, assessed by western blot. Vinculin was used as loading control. Left panel displays colon cancer lines, including TP53 WT (HCT116 and RKO) and mutant (DLD1 and HT29) cells. Middle panel displays ovarian cancer cell lines, including TP53 WT (A2780) and mutant (ES2, OVCAR8 and SKOV3) cells. Right panel displays BJ and RPE1 p53-proficient primary cell lines. B) MDM2 mRNA expression levels in the indicated cell lines treated with vehicle or 1 µM A1874 for 24 h, assessed by qPCR. Error bars indicate mean ± s.d. (n = 3). C) Schematic representation of the CRISPRa/dCas9-SAM system. It consists of a dead Cas9 (dCas9) fused to the transcriptional activator VP64. The gRNA targeting MDM2 promoter forms a complex with MS2 (blue) and recruits transcriptional p65 (orange) and HSF1 (red) activators. This induces MDM2 expression from the endogenous locus. D) MDM2 mRNA expression levels in SKOV3 transduced with E.V. or gRNAs targeting MDM2 promoter, assessed by qPCR. Error bars indicate mean ± s.d. (n = 3). E) BRD4, and MDM2 protein levels in empty vector (E.V.)-transduced or MDM2-overexpressing SKOV3 cell lines treated with 1 µM A1874 for 24 h, assessed by western blot. Vinculin was used as loading control. F) MDM2 mRNA expression levels in the indicated cells treated with vehicle or 1 µM A1874 for 24 h, assessed by qPCR. Error bars indicate mean ± s.d. (n = 3).

    Journal: bioRxiv

    Article Title: PROTAC-Driven Protective Therapy increases the therapeutic window of anticancer drugs

    doi: 10.64898/2026.01.12.698947

    Figure Lengend Snippet: A) BRD4, MDM2, p53, and p21 protein levels in a panel of cancer cell lines treated with vehicle or 1 µM A1874 for 24 h, assessed by western blot. Vinculin was used as loading control. Left panel displays colon cancer lines, including TP53 WT (HCT116 and RKO) and mutant (DLD1 and HT29) cells. Middle panel displays ovarian cancer cell lines, including TP53 WT (A2780) and mutant (ES2, OVCAR8 and SKOV3) cells. Right panel displays BJ and RPE1 p53-proficient primary cell lines. B) MDM2 mRNA expression levels in the indicated cell lines treated with vehicle or 1 µM A1874 for 24 h, assessed by qPCR. Error bars indicate mean ± s.d. (n = 3). C) Schematic representation of the CRISPRa/dCas9-SAM system. It consists of a dead Cas9 (dCas9) fused to the transcriptional activator VP64. The gRNA targeting MDM2 promoter forms a complex with MS2 (blue) and recruits transcriptional p65 (orange) and HSF1 (red) activators. This induces MDM2 expression from the endogenous locus. D) MDM2 mRNA expression levels in SKOV3 transduced with E.V. or gRNAs targeting MDM2 promoter, assessed by qPCR. Error bars indicate mean ± s.d. (n = 3). E) BRD4, and MDM2 protein levels in empty vector (E.V.)-transduced or MDM2-overexpressing SKOV3 cell lines treated with 1 µM A1874 for 24 h, assessed by western blot. Vinculin was used as loading control. F) MDM2 mRNA expression levels in the indicated cells treated with vehicle or 1 µM A1874 for 24 h, assessed by qPCR. Error bars indicate mean ± s.d. (n = 3).

    Article Snippet: Cells were treated with the following compounds at the indicated doses: BRD4 PROTAC A1874 (HY-114305, MedChemExpress) at 1 μM; PARP1 PROTACs SK-575 (HY-139156, MedChemExpress) at 100 nM and 180055 (HY-170620, MedChemExpress) at 1 μM; and PARP inhibitors Talazoparib (HY-16106, MedChemExpress) and Olaparib (HY-10162, MedChemExpress) at concentrations ranging from 48 μM to 0.02 μM in 3-fold dilutions.

    Techniques: Western Blot, Control, Mutagenesis, Expressing, Transduction, Plasmid Preparation

    (A) Schematic showing the domain architecture of the Brd4 protein, and how its bromodomains are being used in several combinations to make acyl-eCRs and to determine how the valency of reader domains affects drug perturbations. (B) Immunofluorescence images of mESCs showing the nuclear localization of different valencies of the second bromodomain from BRD4 in the Parbit system (green) and their colocalization with Hoechst (magenta) after drug treatments. All scale bars are 5 µM. Drug treatments were performed at 1 μM concentrations for 24 hours. Bottom panel: Representative pseudocolored images (eGFP signal) depicting the differences in fluorescence intensities in different cell lines. A gradient pseudocolor bar (signal intensity) is shown at the left. (C) Normalized FACS data showing the effects of ARV-825 PROTAC treatment on cells expressing several combinations of bromodomains from BRD4. The percentage represents the GFP signal in treated cells as a ratio of the signal observed in untreated samples of the same cell type, after normalizing for the autofluorescence of the drug treatment in wild-type cells.

    Journal: bioRxiv

    Article Title: A modular toolbox for in cellulo screening of small molecule inhibitors targeting chromatin reader domains

    doi: 10.1101/2025.09.06.674632

    Figure Lengend Snippet: (A) Schematic showing the domain architecture of the Brd4 protein, and how its bromodomains are being used in several combinations to make acyl-eCRs and to determine how the valency of reader domains affects drug perturbations. (B) Immunofluorescence images of mESCs showing the nuclear localization of different valencies of the second bromodomain from BRD4 in the Parbit system (green) and their colocalization with Hoechst (magenta) after drug treatments. All scale bars are 5 µM. Drug treatments were performed at 1 μM concentrations for 24 hours. Bottom panel: Representative pseudocolored images (eGFP signal) depicting the differences in fluorescence intensities in different cell lines. A gradient pseudocolor bar (signal intensity) is shown at the left. (C) Normalized FACS data showing the effects of ARV-825 PROTAC treatment on cells expressing several combinations of bromodomains from BRD4. The percentage represents the GFP signal in treated cells as a ratio of the signal observed in untreated samples of the same cell type, after normalizing for the autofluorescence of the drug treatment in wild-type cells.

    Article Snippet: The CBP/p300 bromodomain inhibitor: GNE-049 (MedChemExpress, HY-108435), CBP/p300 PROTAC: dCBP-1 (MedChemExpress, HY-134582), BRD4 bromodomain inhibitor: (+)-JQ-1 (MedChemExpress, HY-13030), BRD4 PROTAC: ARV-825 (MedChemExpress, HY-16954), BRD9 bromodomain inhibitor: iBRD9 (MedChemExpress, HY-18975), and broad-spectrum bromodomain inhibitor: Bromosporine (MedChemExpress, HY-15815) were dissolved in DMSO and then diluted to 1μM in mESC media for 24-hour treatments, unless stated otherwise.

    Techniques: Immunofluorescence, Fluorescence, Expressing

    (A) Top: Schematic showing how the competitive binding of small molecule inhibitors versus PROTACs for the binding pocket of Acyl-eCRs can be used to measure the affinity of a small molecule for a bromodomain in cellulo . Inhibitors with higher affinity for a bromodomain, better prevent PROTAC-induced degradation. Bottom : Treatment scheme for competitive binding experiments. Cells were treated with 1 μM inhibitors for 1 hour. Then, varying concentrations of the PROTAC were added in addition to the previously added inhibitor. After 3 hours of treatment, the cell fluorescence was measured via flow cytometry. (B) Competitive binding between ARV-825 and several small molecule inhibitors showing how the inhibitors bind to BRD4(2)_BRD.1x. The cells were treated with the indicated inhibitor at a 1 μM concentration for 1 hour. Then, the stated concentration of ARV-825 PROTAC was added for 3 hours, in addition to the previous concentration of the same inhibitor. The percentage represents the GFP signal in treated cells as a ratio of the signal observed in untreated samples of the same cell type, after normalizing for the autofluorescence of the drug treatment in wild-type cells. (C) Competitive binding between dCBP-1 and several small molecule inhibitors showing how the inhibitors bind CBP bromodomains in Acyl-eCR constructs versus the endogenous CBP protein. The cells were treated with the indicated inhibitor at a 1 μM concentration for 1 hour. Then, the stated concentration of dCBP-1 PROTAC was added for 3 hours, in addition to the previous concentration of the same inhibitor. The percentage represents the GFP signal in treated cells as a ratio of the signal observed in untreated samples of the same cell type, after normalizing for the autofluorescence of the drug treatment in wild-type cells.

    Journal: bioRxiv

    Article Title: A modular toolbox for in cellulo screening of small molecule inhibitors targeting chromatin reader domains

    doi: 10.1101/2025.09.06.674632

    Figure Lengend Snippet: (A) Top: Schematic showing how the competitive binding of small molecule inhibitors versus PROTACs for the binding pocket of Acyl-eCRs can be used to measure the affinity of a small molecule for a bromodomain in cellulo . Inhibitors with higher affinity for a bromodomain, better prevent PROTAC-induced degradation. Bottom : Treatment scheme for competitive binding experiments. Cells were treated with 1 μM inhibitors for 1 hour. Then, varying concentrations of the PROTAC were added in addition to the previously added inhibitor. After 3 hours of treatment, the cell fluorescence was measured via flow cytometry. (B) Competitive binding between ARV-825 and several small molecule inhibitors showing how the inhibitors bind to BRD4(2)_BRD.1x. The cells were treated with the indicated inhibitor at a 1 μM concentration for 1 hour. Then, the stated concentration of ARV-825 PROTAC was added for 3 hours, in addition to the previous concentration of the same inhibitor. The percentage represents the GFP signal in treated cells as a ratio of the signal observed in untreated samples of the same cell type, after normalizing for the autofluorescence of the drug treatment in wild-type cells. (C) Competitive binding between dCBP-1 and several small molecule inhibitors showing how the inhibitors bind CBP bromodomains in Acyl-eCR constructs versus the endogenous CBP protein. The cells were treated with the indicated inhibitor at a 1 μM concentration for 1 hour. Then, the stated concentration of dCBP-1 PROTAC was added for 3 hours, in addition to the previous concentration of the same inhibitor. The percentage represents the GFP signal in treated cells as a ratio of the signal observed in untreated samples of the same cell type, after normalizing for the autofluorescence of the drug treatment in wild-type cells.

    Article Snippet: The CBP/p300 bromodomain inhibitor: GNE-049 (MedChemExpress, HY-108435), CBP/p300 PROTAC: dCBP-1 (MedChemExpress, HY-134582), BRD4 bromodomain inhibitor: (+)-JQ-1 (MedChemExpress, HY-13030), BRD4 PROTAC: ARV-825 (MedChemExpress, HY-16954), BRD9 bromodomain inhibitor: iBRD9 (MedChemExpress, HY-18975), and broad-spectrum bromodomain inhibitor: Bromosporine (MedChemExpress, HY-15815) were dissolved in DMSO and then diluted to 1μM in mESC media for 24-hour treatments, unless stated otherwise.

    Techniques: Binding Assay, Fluorescence, Flow Cytometry, Concentration Assay, Construct