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brd4  (Cell Signaling Technology Inc)


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    Structured Review

    Cell Signaling Technology Inc brd4
    BHB-mediated HDAC inhibition shifts hepatic anabolism toward lipid oxidation. (A) Experimental design. (B) Serum gross appearance and the FFA levels ( n = 5). (C) Body weight loss of mice with the indicated treatment ( n = 5). (D and E) ChIP-seq data displaying H3K27ac (D) or <t>BRD4</t> (E) occupancy at two subsets of genes: H3K27ac and BRD4 enriched at the genomic loci of fasting-induced transcripts (energy mobilization associated genes, such as Cyp4a14), but dislodged from those loci of fasting-suppressed transcripts (energy storage-associated genes, such as Pcsk9). (ref. to Hsieh et al., 2022, Mol Cell for detail method of analysis). (F and G) GO enrichment analysis of the fasting-induced H3K27ac (F) and BRD4 (G) peak-associated genes. The reads number of the ChIP-seq data for H3K27ac (log2FC > 1 and P < 0.01) or BRD4 (log2FC > 1.2 and P < 0.01) were included as the fasting-induced peaks. (H and I) Gene tracks display that fasting induced the occupancy of H3K27ac and BRD4 at the genomic loci of energy mobilization-associated genes (Cyp4a14, Pck1) (H), but reduced at those loci of energy storage-associated genes (Pcsk9, Srebf1) (I). (J) The ratio of the liver to body weight (upper panel) and the liver triglycerides levels (lower panel) of mice with the indicated treatment ( n = 5). (K-O) Body weight loss data (K), serum gross appearance and FFA levels (L), the blood glucose and BHB levels (M), the ratio of liver to body weight (N) and Liver triglycerides (O)of Brd 4 -flox or Brd4 hKO mice subjected to 24 h of fasting ( n = 5). Data are shown as the mean ± SEM. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, ∗∗∗∗ P < 0.0001 by unpaired two-tailed Student’s t-test (K-O) or one-way ANOVA followed with Bonferroni’s multiple comparisons test (B, C, and J).
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    1) Product Images from "Nutrient-driven histone acetylation underlies energy storage and mobilization"

    Article Title: Nutrient-driven histone acetylation underlies energy storage and mobilization

    Journal: Molecular Metabolism

    doi: 10.1016/j.molmet.2026.102344

    BHB-mediated HDAC inhibition shifts hepatic anabolism toward lipid oxidation. (A) Experimental design. (B) Serum gross appearance and the FFA levels ( n = 5). (C) Body weight loss of mice with the indicated treatment ( n = 5). (D and E) ChIP-seq data displaying H3K27ac (D) or BRD4 (E) occupancy at two subsets of genes: H3K27ac and BRD4 enriched at the genomic loci of fasting-induced transcripts (energy mobilization associated genes, such as Cyp4a14), but dislodged from those loci of fasting-suppressed transcripts (energy storage-associated genes, such as Pcsk9). (ref. to Hsieh et al., 2022, Mol Cell for detail method of analysis). (F and G) GO enrichment analysis of the fasting-induced H3K27ac (F) and BRD4 (G) peak-associated genes. The reads number of the ChIP-seq data for H3K27ac (log2FC > 1 and P < 0.01) or BRD4 (log2FC > 1.2 and P < 0.01) were included as the fasting-induced peaks. (H and I) Gene tracks display that fasting induced the occupancy of H3K27ac and BRD4 at the genomic loci of energy mobilization-associated genes (Cyp4a14, Pck1) (H), but reduced at those loci of energy storage-associated genes (Pcsk9, Srebf1) (I). (J) The ratio of the liver to body weight (upper panel) and the liver triglycerides levels (lower panel) of mice with the indicated treatment ( n = 5). (K-O) Body weight loss data (K), serum gross appearance and FFA levels (L), the blood glucose and BHB levels (M), the ratio of liver to body weight (N) and Liver triglycerides (O)of Brd 4 -flox or Brd4 hKO mice subjected to 24 h of fasting ( n = 5). Data are shown as the mean ± SEM. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, ∗∗∗∗ P < 0.0001 by unpaired two-tailed Student’s t-test (K-O) or one-way ANOVA followed with Bonferroni’s multiple comparisons test (B, C, and J).
    Figure Legend Snippet: BHB-mediated HDAC inhibition shifts hepatic anabolism toward lipid oxidation. (A) Experimental design. (B) Serum gross appearance and the FFA levels ( n = 5). (C) Body weight loss of mice with the indicated treatment ( n = 5). (D and E) ChIP-seq data displaying H3K27ac (D) or BRD4 (E) occupancy at two subsets of genes: H3K27ac and BRD4 enriched at the genomic loci of fasting-induced transcripts (energy mobilization associated genes, such as Cyp4a14), but dislodged from those loci of fasting-suppressed transcripts (energy storage-associated genes, such as Pcsk9). (ref. to Hsieh et al., 2022, Mol Cell for detail method of analysis). (F and G) GO enrichment analysis of the fasting-induced H3K27ac (F) and BRD4 (G) peak-associated genes. The reads number of the ChIP-seq data for H3K27ac (log2FC > 1 and P < 0.01) or BRD4 (log2FC > 1.2 and P < 0.01) were included as the fasting-induced peaks. (H and I) Gene tracks display that fasting induced the occupancy of H3K27ac and BRD4 at the genomic loci of energy mobilization-associated genes (Cyp4a14, Pck1) (H), but reduced at those loci of energy storage-associated genes (Pcsk9, Srebf1) (I). (J) The ratio of the liver to body weight (upper panel) and the liver triglycerides levels (lower panel) of mice with the indicated treatment ( n = 5). (K-O) Body weight loss data (K), serum gross appearance and FFA levels (L), the blood glucose and BHB levels (M), the ratio of liver to body weight (N) and Liver triglycerides (O)of Brd 4 -flox or Brd4 hKO mice subjected to 24 h of fasting ( n = 5). Data are shown as the mean ± SEM. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, ∗∗∗∗ P < 0.0001 by unpaired two-tailed Student’s t-test (K-O) or one-way ANOVA followed with Bonferroni’s multiple comparisons test (B, C, and J).

    Techniques Used: Inhibition, ChIP-sequencing, Two Tailed Test

    Glucose-mediated histone acetylation promotes lipogenesis. (A-D) ChIP-seq data showed that re-feeding induced a significant redistribution of H3K27ac and BRD4 in the whole genome (A and B) with an increased occupancy at the genomic loci of lipids synthesis genes ( Srebf1 , Pcsk9 ) (C) but a decreased occupancy at those of fatty acids catabolic ( Cyp4a14 ) and gluconeogenic genes ( Pck1 ) (D). (E and F) qPCR assay showed that re-feeding induced the expression of glucose utilization ( Gck ) and lipid synthesis genes ( Pcsk9 , Hmgcr , Dgat1 , Srebf1 ) in the liver (E), while the expression was suppressed by JQ35 treatment (F) ( n = 4). (G and H) Brd 4 -flox or Brd 4 -hKO mice housed in a thermoneutral environment (30°C) feeding with high-fat diet. Hepatic Brd4 knockout suppressed body weight gain (G) without influence food intake (H) ( n = 5–6). (I-L) ITT assays (I) , liver weight (J), the liver gross appearance, HE and Oil Red O staining (K), and TG levels (L) of Brd 4 -flox or Brd 4 -hKO mice that were subjected to HFD feeding with housing at 30°C ( n = 5–6). (M) qPCR assay of lipids anabolism- ( Cd36 , Pparg , Dgat1 ) and VLDLs secretion/metabolism- ( Mttp , Apoc3 ) associated genes in the liver of Brd 4 -flox or Brd 4 -hKO mice ( n = 5–6). (N) The serum ALT levels were lower in Brd 4 -hKO than that of control mice ( n = 5–6). (O-Q) WAT weight (O) and serum TG (P) and FFA (Q) levels of Brd 4 -flox or Brd 4 -hKO mice under HFD feeding ( n = 5–6). Data are shown as the mean ± SEM. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, ∗∗∗∗ P < 0.0001 by unpaired two-tailed Student’s t-test (E, F, H, J, and L-Q) or two-way ANOVA followed with Bonferroni’s multiple comparisons test (G and I).
    Figure Legend Snippet: Glucose-mediated histone acetylation promotes lipogenesis. (A-D) ChIP-seq data showed that re-feeding induced a significant redistribution of H3K27ac and BRD4 in the whole genome (A and B) with an increased occupancy at the genomic loci of lipids synthesis genes ( Srebf1 , Pcsk9 ) (C) but a decreased occupancy at those of fatty acids catabolic ( Cyp4a14 ) and gluconeogenic genes ( Pck1 ) (D). (E and F) qPCR assay showed that re-feeding induced the expression of glucose utilization ( Gck ) and lipid synthesis genes ( Pcsk9 , Hmgcr , Dgat1 , Srebf1 ) in the liver (E), while the expression was suppressed by JQ35 treatment (F) ( n = 4). (G and H) Brd 4 -flox or Brd 4 -hKO mice housed in a thermoneutral environment (30°C) feeding with high-fat diet. Hepatic Brd4 knockout suppressed body weight gain (G) without influence food intake (H) ( n = 5–6). (I-L) ITT assays (I) , liver weight (J), the liver gross appearance, HE and Oil Red O staining (K), and TG levels (L) of Brd 4 -flox or Brd 4 -hKO mice that were subjected to HFD feeding with housing at 30°C ( n = 5–6). (M) qPCR assay of lipids anabolism- ( Cd36 , Pparg , Dgat1 ) and VLDLs secretion/metabolism- ( Mttp , Apoc3 ) associated genes in the liver of Brd 4 -flox or Brd 4 -hKO mice ( n = 5–6). (N) The serum ALT levels were lower in Brd 4 -hKO than that of control mice ( n = 5–6). (O-Q) WAT weight (O) and serum TG (P) and FFA (Q) levels of Brd 4 -flox or Brd 4 -hKO mice under HFD feeding ( n = 5–6). Data are shown as the mean ± SEM. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, ∗∗∗∗ P < 0.0001 by unpaired two-tailed Student’s t-test (E, F, H, J, and L-Q) or two-way ANOVA followed with Bonferroni’s multiple comparisons test (G and I).

    Techniques Used: ChIP-sequencing, Expressing, Knock-Out, Staining, Control, Two Tailed Test



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    BHB-mediated HDAC inhibition shifts hepatic anabolism toward lipid oxidation. (A) Experimental design. (B) Serum gross appearance and the FFA levels ( n = 5). (C) Body weight loss of mice with the indicated treatment ( n = 5). (D and E) ChIP-seq data displaying H3K27ac (D) or <t>BRD4</t> (E) occupancy at two subsets of genes: H3K27ac and BRD4 enriched at the genomic loci of fasting-induced transcripts (energy mobilization associated genes, such as Cyp4a14), but dislodged from those loci of fasting-suppressed transcripts (energy storage-associated genes, such as Pcsk9). (ref. to Hsieh et al., 2022, Mol Cell for detail method of analysis). (F and G) GO enrichment analysis of the fasting-induced H3K27ac (F) and BRD4 (G) peak-associated genes. The reads number of the ChIP-seq data for H3K27ac (log2FC > 1 and P < 0.01) or BRD4 (log2FC > 1.2 and P < 0.01) were included as the fasting-induced peaks. (H and I) Gene tracks display that fasting induced the occupancy of H3K27ac and BRD4 at the genomic loci of energy mobilization-associated genes (Cyp4a14, Pck1) (H), but reduced at those loci of energy storage-associated genes (Pcsk9, Srebf1) (I). (J) The ratio of the liver to body weight (upper panel) and the liver triglycerides levels (lower panel) of mice with the indicated treatment ( n = 5). (K-O) Body weight loss data (K), serum gross appearance and FFA levels (L), the blood glucose and BHB levels (M), the ratio of liver to body weight (N) and Liver triglycerides (O)of Brd 4 -flox or Brd4 hKO mice subjected to 24 h of fasting ( n = 5). Data are shown as the mean ± SEM. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, ∗∗∗∗ P < 0.0001 by unpaired two-tailed Student’s t-test (K-O) or one-way ANOVA followed with Bonferroni’s multiple comparisons test (B, C, and J).
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    BHB-mediated HDAC inhibition shifts hepatic anabolism toward lipid oxidation. (A) Experimental design. (B) Serum gross appearance and the FFA levels ( n = 5). (C) Body weight loss of mice with the indicated treatment ( n = 5). (D and E) ChIP-seq data displaying H3K27ac (D) or BRD4 (E) occupancy at two subsets of genes: H3K27ac and BRD4 enriched at the genomic loci of fasting-induced transcripts (energy mobilization associated genes, such as Cyp4a14), but dislodged from those loci of fasting-suppressed transcripts (energy storage-associated genes, such as Pcsk9). (ref. to Hsieh et al., 2022, Mol Cell for detail method of analysis). (F and G) GO enrichment analysis of the fasting-induced H3K27ac (F) and BRD4 (G) peak-associated genes. The reads number of the ChIP-seq data for H3K27ac (log2FC > 1 and P < 0.01) or BRD4 (log2FC > 1.2 and P < 0.01) were included as the fasting-induced peaks. (H and I) Gene tracks display that fasting induced the occupancy of H3K27ac and BRD4 at the genomic loci of energy mobilization-associated genes (Cyp4a14, Pck1) (H), but reduced at those loci of energy storage-associated genes (Pcsk9, Srebf1) (I). (J) The ratio of the liver to body weight (upper panel) and the liver triglycerides levels (lower panel) of mice with the indicated treatment ( n = 5). (K-O) Body weight loss data (K), serum gross appearance and FFA levels (L), the blood glucose and BHB levels (M), the ratio of liver to body weight (N) and Liver triglycerides (O)of Brd 4 -flox or Brd4 hKO mice subjected to 24 h of fasting ( n = 5). Data are shown as the mean ± SEM. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, ∗∗∗∗ P < 0.0001 by unpaired two-tailed Student’s t-test (K-O) or one-way ANOVA followed with Bonferroni’s multiple comparisons test (B, C, and J).

    Journal: Molecular Metabolism

    Article Title: Nutrient-driven histone acetylation underlies energy storage and mobilization

    doi: 10.1016/j.molmet.2026.102344

    Figure Lengend Snippet: BHB-mediated HDAC inhibition shifts hepatic anabolism toward lipid oxidation. (A) Experimental design. (B) Serum gross appearance and the FFA levels ( n = 5). (C) Body weight loss of mice with the indicated treatment ( n = 5). (D and E) ChIP-seq data displaying H3K27ac (D) or BRD4 (E) occupancy at two subsets of genes: H3K27ac and BRD4 enriched at the genomic loci of fasting-induced transcripts (energy mobilization associated genes, such as Cyp4a14), but dislodged from those loci of fasting-suppressed transcripts (energy storage-associated genes, such as Pcsk9). (ref. to Hsieh et al., 2022, Mol Cell for detail method of analysis). (F and G) GO enrichment analysis of the fasting-induced H3K27ac (F) and BRD4 (G) peak-associated genes. The reads number of the ChIP-seq data for H3K27ac (log2FC > 1 and P < 0.01) or BRD4 (log2FC > 1.2 and P < 0.01) were included as the fasting-induced peaks. (H and I) Gene tracks display that fasting induced the occupancy of H3K27ac and BRD4 at the genomic loci of energy mobilization-associated genes (Cyp4a14, Pck1) (H), but reduced at those loci of energy storage-associated genes (Pcsk9, Srebf1) (I). (J) The ratio of the liver to body weight (upper panel) and the liver triglycerides levels (lower panel) of mice with the indicated treatment ( n = 5). (K-O) Body weight loss data (K), serum gross appearance and FFA levels (L), the blood glucose and BHB levels (M), the ratio of liver to body weight (N) and Liver triglycerides (O)of Brd 4 -flox or Brd4 hKO mice subjected to 24 h of fasting ( n = 5). Data are shown as the mean ± SEM. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, ∗∗∗∗ P < 0.0001 by unpaired two-tailed Student’s t-test (K-O) or one-way ANOVA followed with Bonferroni’s multiple comparisons test (B, C, and J).

    Article Snippet: ChIP was performed using a SimpleChIP® Plus Enzymatic Chromatin IP Kit (9005; Cell Signaling Technology) with antibodies against H3K27ac (5 μg/ChIP, activemotif, 91193), BRD4 (5 μg per ChIP, Cell Signaling Technology, 83375S), or normal rabbit IgG as control according to the manufacturer’s procedures.

    Techniques: Inhibition, ChIP-sequencing, Two Tailed Test

    Glucose-mediated histone acetylation promotes lipogenesis. (A-D) ChIP-seq data showed that re-feeding induced a significant redistribution of H3K27ac and BRD4 in the whole genome (A and B) with an increased occupancy at the genomic loci of lipids synthesis genes ( Srebf1 , Pcsk9 ) (C) but a decreased occupancy at those of fatty acids catabolic ( Cyp4a14 ) and gluconeogenic genes ( Pck1 ) (D). (E and F) qPCR assay showed that re-feeding induced the expression of glucose utilization ( Gck ) and lipid synthesis genes ( Pcsk9 , Hmgcr , Dgat1 , Srebf1 ) in the liver (E), while the expression was suppressed by JQ35 treatment (F) ( n = 4). (G and H) Brd 4 -flox or Brd 4 -hKO mice housed in a thermoneutral environment (30°C) feeding with high-fat diet. Hepatic Brd4 knockout suppressed body weight gain (G) without influence food intake (H) ( n = 5–6). (I-L) ITT assays (I) , liver weight (J), the liver gross appearance, HE and Oil Red O staining (K), and TG levels (L) of Brd 4 -flox or Brd 4 -hKO mice that were subjected to HFD feeding with housing at 30°C ( n = 5–6). (M) qPCR assay of lipids anabolism- ( Cd36 , Pparg , Dgat1 ) and VLDLs secretion/metabolism- ( Mttp , Apoc3 ) associated genes in the liver of Brd 4 -flox or Brd 4 -hKO mice ( n = 5–6). (N) The serum ALT levels were lower in Brd 4 -hKO than that of control mice ( n = 5–6). (O-Q) WAT weight (O) and serum TG (P) and FFA (Q) levels of Brd 4 -flox or Brd 4 -hKO mice under HFD feeding ( n = 5–6). Data are shown as the mean ± SEM. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, ∗∗∗∗ P < 0.0001 by unpaired two-tailed Student’s t-test (E, F, H, J, and L-Q) or two-way ANOVA followed with Bonferroni’s multiple comparisons test (G and I).

    Journal: Molecular Metabolism

    Article Title: Nutrient-driven histone acetylation underlies energy storage and mobilization

    doi: 10.1016/j.molmet.2026.102344

    Figure Lengend Snippet: Glucose-mediated histone acetylation promotes lipogenesis. (A-D) ChIP-seq data showed that re-feeding induced a significant redistribution of H3K27ac and BRD4 in the whole genome (A and B) with an increased occupancy at the genomic loci of lipids synthesis genes ( Srebf1 , Pcsk9 ) (C) but a decreased occupancy at those of fatty acids catabolic ( Cyp4a14 ) and gluconeogenic genes ( Pck1 ) (D). (E and F) qPCR assay showed that re-feeding induced the expression of glucose utilization ( Gck ) and lipid synthesis genes ( Pcsk9 , Hmgcr , Dgat1 , Srebf1 ) in the liver (E), while the expression was suppressed by JQ35 treatment (F) ( n = 4). (G and H) Brd 4 -flox or Brd 4 -hKO mice housed in a thermoneutral environment (30°C) feeding with high-fat diet. Hepatic Brd4 knockout suppressed body weight gain (G) without influence food intake (H) ( n = 5–6). (I-L) ITT assays (I) , liver weight (J), the liver gross appearance, HE and Oil Red O staining (K), and TG levels (L) of Brd 4 -flox or Brd 4 -hKO mice that were subjected to HFD feeding with housing at 30°C ( n = 5–6). (M) qPCR assay of lipids anabolism- ( Cd36 , Pparg , Dgat1 ) and VLDLs secretion/metabolism- ( Mttp , Apoc3 ) associated genes in the liver of Brd 4 -flox or Brd 4 -hKO mice ( n = 5–6). (N) The serum ALT levels were lower in Brd 4 -hKO than that of control mice ( n = 5–6). (O-Q) WAT weight (O) and serum TG (P) and FFA (Q) levels of Brd 4 -flox or Brd 4 -hKO mice under HFD feeding ( n = 5–6). Data are shown as the mean ± SEM. ∗ P < 0.05, ∗∗ P < 0.01, ∗∗∗ P < 0.001, ∗∗∗∗ P < 0.0001 by unpaired two-tailed Student’s t-test (E, F, H, J, and L-Q) or two-way ANOVA followed with Bonferroni’s multiple comparisons test (G and I).

    Article Snippet: ChIP was performed using a SimpleChIP® Plus Enzymatic Chromatin IP Kit (9005; Cell Signaling Technology) with antibodies against H3K27ac (5 μg/ChIP, activemotif, 91193), BRD4 (5 μg per ChIP, Cell Signaling Technology, 83375S), or normal rabbit IgG as control according to the manufacturer’s procedures.

    Techniques: ChIP-sequencing, Expressing, Knock-Out, Staining, Control, Two Tailed Test

    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: The precleared extract was then rotated with 1 μg of antibodies anti-BRD4 (Cell Signalling, Cat. # 83375), anti-RING1B (Active Motif, Cat. # 39663), anti-MGA (Antibodies Online, Cat.# ABIN2444597) or IGG (ThermoFisher Scientific, Cat. # 500-P00-500UG) for 2 hours at 4 °C before adding the Dynabeads A bead for 30min at 4 °C.

    Techniques: Western Blot, RNA Sequencing, Quantitative Proteomics

    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: The precleared extract was then rotated with 1 μg of antibodies anti-BRD4 (Cell Signalling, Cat. # 83375), anti-RING1B (Active Motif, Cat. # 39663), anti-MGA (Antibodies Online, Cat.# ABIN2444597) or IGG (ThermoFisher Scientific, Cat. # 500-P00-500UG) for 2 hours at 4 °C before adding the Dynabeads A bead for 30min at 4 °C.

    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: The precleared extract was then rotated with 1 μg of antibodies anti-BRD4 (Cell Signalling, Cat. # 83375), anti-RING1B (Active Motif, Cat. # 39663), anti-MGA (Antibodies Online, Cat.# ABIN2444597) or IGG (ThermoFisher Scientific, Cat. # 500-P00-500UG) for 2 hours at 4 °C before adding the Dynabeads A bead for 30min at 4 °C.

    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: The precleared extract was then rotated with 1 μg of antibodies anti-BRD4 (Cell Signalling, Cat. # 83375), anti-RING1B (Active Motif, Cat. # 39663), anti-MGA (Antibodies Online, Cat.# ABIN2444597) or IGG (ThermoFisher Scientific, Cat. # 500-P00-500UG) for 2 hours at 4 °C before adding the Dynabeads A bead for 30min at 4 °C.

    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: The precleared extract was then rotated with 1 μg of antibodies anti-BRD4 (Cell Signalling, Cat. # 83375), anti-RING1B (Active Motif, Cat. # 39663), anti-MGA (Antibodies Online, Cat.# ABIN2444597) or IGG (ThermoFisher Scientific, Cat. # 500-P00-500UG) for 2 hours at 4 °C before adding the Dynabeads A bead for 30min at 4 °C.

    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: The precleared extract was then rotated with 1 μg of antibodies anti-BRD4 (Cell Signalling, Cat. # 83375), anti-RING1B (Active Motif, Cat. # 39663), anti-MGA (Antibodies Online, Cat.# ABIN2444597) or IGG (ThermoFisher Scientific, Cat. # 500-P00-500UG) for 2 hours at 4 °C before adding the Dynabeads A bead for 30min at 4 °C.

    Techniques: Sequencing, Control

    In vitro antitumor effects of ARV/Ce6@RDP on cell proliferation, apoptosis, and the cell cycle. a Schematic of the antitumor mechanism in cells via PDT and BRD4 PROTAC mediated by ARV/Ce6@RDP. The figure was created with Figdraw.com. b Representative images of ROS production in 4T1 and B16F10 cells subjected to different treatments (blue: nucleus; green: DCFH-DA-labeled ROS). Scale bar: 100 µm. c Flow cytometric analyses of ROS production in 4T1 and B16F10 cells after various treatments ( n = 3 per group, two-tailed unpaired Student’s t -test). d Western blot analysis of BRD4 and c-Myc protein expression in 4T1 and B16F10 cells after various treatments. e Viability of 4T1 and B16F10 cells following different treatments ( n = 3 per group, two-tailed unpaired Student’s t -test). f Flow cytometric analysis of apoptosis in 4T1 and B16F10 cells after different treatments by Annexin V-FITC/PI double staining ( n = 3 per group, two-tailed unpaired Student’s t -test). g Flow cytometric analysis of the cell cycle in 4T1 and B16F10 cells receiving different treatments by PI staining ( n = 3 per group). h Changes in p-AKT, AKT, p-ERK1/2, ERK1/2, p-STAT3, and STAT3 protein levels in 4T1 and B16F10 cells following various treatments. i Changes in the protein levels of genes involved in the apoptosis pathway after various treatments in 4T1 and B16F10 cells. j Changes in the protein levels associated with the cell cycle in 4T1 and B16F10 cells following various treatments. All the data in this figure are presented as the means ± SDs

    Journal: Signal Transduction and Targeted Therapy

    Article Title: Employing epigenetic protein degradation techniques to block CCL5-mediated photodynamic therapy via a programmed delivery platform

    doi: 10.1038/s41392-025-02542-y

    Figure Lengend Snippet: In vitro antitumor effects of ARV/Ce6@RDP on cell proliferation, apoptosis, and the cell cycle. a Schematic of the antitumor mechanism in cells via PDT and BRD4 PROTAC mediated by ARV/Ce6@RDP. The figure was created with Figdraw.com. b Representative images of ROS production in 4T1 and B16F10 cells subjected to different treatments (blue: nucleus; green: DCFH-DA-labeled ROS). Scale bar: 100 µm. c Flow cytometric analyses of ROS production in 4T1 and B16F10 cells after various treatments ( n = 3 per group, two-tailed unpaired Student’s t -test). d Western blot analysis of BRD4 and c-Myc protein expression in 4T1 and B16F10 cells after various treatments. e Viability of 4T1 and B16F10 cells following different treatments ( n = 3 per group, two-tailed unpaired Student’s t -test). f Flow cytometric analysis of apoptosis in 4T1 and B16F10 cells after different treatments by Annexin V-FITC/PI double staining ( n = 3 per group, two-tailed unpaired Student’s t -test). g Flow cytometric analysis of the cell cycle in 4T1 and B16F10 cells receiving different treatments by PI staining ( n = 3 per group). h Changes in p-AKT, AKT, p-ERK1/2, ERK1/2, p-STAT3, and STAT3 protein levels in 4T1 and B16F10 cells following various treatments. i Changes in the protein levels of genes involved in the apoptosis pathway after various treatments in 4T1 and B16F10 cells. j Changes in the protein levels associated with the cell cycle in 4T1 and B16F10 cells following various treatments. All the data in this figure are presented as the means ± SDs

    Article Snippet: Chromatin samples were precipitated with rabbit anti-BRD4 antibody (#83375, CST) or an equivalent amount of normal rabbit IgG isotype control (#2729, CST) prior to the addition of protein G magnetic beads.

    Techniques: In Vitro, Labeling, Two Tailed Test, Western Blot, Expressing, Double Staining, Staining

    Mechanistic study of the antitumor effects of ARV/Ce6@RDP micelles. a Venn diagrams of the intersection between upregulated genes in Ce6@RDP (+) vs RDP and downregulated genes in ARV/Ce6@RDP (+) vs Ce6@RDP (+) for 4T1 and B16F10 cells based on RNA-seq analysis. b Venn diagrams of the intersection between upregulated genes in Ce6@RDP (+) vs RDP and upregulated genes in ARV/Ce6@RDP (+) vs Ce6@RDP (+) for 4T1 and B16F10 cells. c Heatmap of the intersection genes from ( a ) and ( b ) expressed in 4T1 and B16F10 cells receiving different treatments. d Quantification of the CCL5 level in the supernatants of treated 4T1 and B16F10 cells ( n = 3 per group, two-tailed unpaired Student’s t -test). Cell viability ( e ) and apoptosis ( f ) analysis of Ccl5 -knockdown 4T1 and B16F10 cells with and without treatment with PDT ( n = 3 per group, two-tailed unpaired Student’s t -test). g – n Effects of Ccl5 knockdown on PDT efficacy in vivo. Tumor growth curves ( g , n = 6 per group, two-way ANOVA with Tukey’s multiple comparisons test), post-treatment tumor photographs ( h ), and tumor weight analysis ( i , n = 6 per group, two-tailed unpaired Student’s t -test) of Ccl5 -knockdown 4T1 cells and control cell xenografts treated with or without PDT; Tumor growth curves ( j , n = 5 per group, two-way ANOVA with Tukey’s multiple comparisons test), post-treatment tumor photographs ( k ) and tumor weight analysis ( l , n = 5 per group, two-tailed unpaired Student’s t -test) of Ccl5 -knockdown B16F10 cells and control cell xenografts treated with or without PDT; Expression levels of the CCL5 protein ( m ) and proteins ( n ) related to proliferation and apoptosis in tumor tissues collected from Ccl5 -knockdown 4T1 and B16F10 xenografts after treatment with or without PDT. o Flow cytometric analyses of M2 polarization in BMDMs after treatment with culture medium from Ccl5 -knockdown 4T1 cells or control cells ( n = 3 per group, two-tailed unpaired Student’s t -test). p M2 polarization analysis of BMDMs treated with culture medium from Ccl5 -overexpressing 4T1 cells and control cells ( n = 3 per group, two-tailed unpaired Student’s t -test). q Mrc1 , Arg1 , Irf4 , Ym1 , and Cd274 gene expression in BMDMs incubated with culture medium from different 4T1 cells determined by qPCR ( n = 3 per group, two-tailed unpaired Student’s t -test). r Recruitment of M2 macrophages by Ccl5 -knockdown or Ccl5 -overexpressing 4T1 cells ( n = 3 per group; two-tailed unpaired Student’s t -test; scale bar: 50 µm). s CFSE staining analysis of 4T1 cell proliferation in BMDMs subjected to different treatments ( n = 3 per group, two-tailed unpaired Student’s t -test). t Effects of nanomedicines on Ccl5 promoter activity detected by dual-luciferase assay ( n = 3 per group, two-tailed unpaired Student’s t -test). u ChIP‒qPCR analysis of BRD4 protein binding to the Ccl5 promoter in B16F10 cells ( n = 3 per group; two-way ANOVA with Sidak’s multiple comparisons test). v Schematic diagram of ARV-825-mediated inhibition of Ccl5 gene transcription to enhance PDT. The figure was created with Figdraw.com. The data are presented as the means ± SDs for in vitro experiments and means ± SEMs for in vivo experiments

    Journal: Signal Transduction and Targeted Therapy

    Article Title: Employing epigenetic protein degradation techniques to block CCL5-mediated photodynamic therapy via a programmed delivery platform

    doi: 10.1038/s41392-025-02542-y

    Figure Lengend Snippet: Mechanistic study of the antitumor effects of ARV/Ce6@RDP micelles. a Venn diagrams of the intersection between upregulated genes in Ce6@RDP (+) vs RDP and downregulated genes in ARV/Ce6@RDP (+) vs Ce6@RDP (+) for 4T1 and B16F10 cells based on RNA-seq analysis. b Venn diagrams of the intersection between upregulated genes in Ce6@RDP (+) vs RDP and upregulated genes in ARV/Ce6@RDP (+) vs Ce6@RDP (+) for 4T1 and B16F10 cells. c Heatmap of the intersection genes from ( a ) and ( b ) expressed in 4T1 and B16F10 cells receiving different treatments. d Quantification of the CCL5 level in the supernatants of treated 4T1 and B16F10 cells ( n = 3 per group, two-tailed unpaired Student’s t -test). Cell viability ( e ) and apoptosis ( f ) analysis of Ccl5 -knockdown 4T1 and B16F10 cells with and without treatment with PDT ( n = 3 per group, two-tailed unpaired Student’s t -test). g – n Effects of Ccl5 knockdown on PDT efficacy in vivo. Tumor growth curves ( g , n = 6 per group, two-way ANOVA with Tukey’s multiple comparisons test), post-treatment tumor photographs ( h ), and tumor weight analysis ( i , n = 6 per group, two-tailed unpaired Student’s t -test) of Ccl5 -knockdown 4T1 cells and control cell xenografts treated with or without PDT; Tumor growth curves ( j , n = 5 per group, two-way ANOVA with Tukey’s multiple comparisons test), post-treatment tumor photographs ( k ) and tumor weight analysis ( l , n = 5 per group, two-tailed unpaired Student’s t -test) of Ccl5 -knockdown B16F10 cells and control cell xenografts treated with or without PDT; Expression levels of the CCL5 protein ( m ) and proteins ( n ) related to proliferation and apoptosis in tumor tissues collected from Ccl5 -knockdown 4T1 and B16F10 xenografts after treatment with or without PDT. o Flow cytometric analyses of M2 polarization in BMDMs after treatment with culture medium from Ccl5 -knockdown 4T1 cells or control cells ( n = 3 per group, two-tailed unpaired Student’s t -test). p M2 polarization analysis of BMDMs treated with culture medium from Ccl5 -overexpressing 4T1 cells and control cells ( n = 3 per group, two-tailed unpaired Student’s t -test). q Mrc1 , Arg1 , Irf4 , Ym1 , and Cd274 gene expression in BMDMs incubated with culture medium from different 4T1 cells determined by qPCR ( n = 3 per group, two-tailed unpaired Student’s t -test). r Recruitment of M2 macrophages by Ccl5 -knockdown or Ccl5 -overexpressing 4T1 cells ( n = 3 per group; two-tailed unpaired Student’s t -test; scale bar: 50 µm). s CFSE staining analysis of 4T1 cell proliferation in BMDMs subjected to different treatments ( n = 3 per group, two-tailed unpaired Student’s t -test). t Effects of nanomedicines on Ccl5 promoter activity detected by dual-luciferase assay ( n = 3 per group, two-tailed unpaired Student’s t -test). u ChIP‒qPCR analysis of BRD4 protein binding to the Ccl5 promoter in B16F10 cells ( n = 3 per group; two-way ANOVA with Sidak’s multiple comparisons test). v Schematic diagram of ARV-825-mediated inhibition of Ccl5 gene transcription to enhance PDT. The figure was created with Figdraw.com. The data are presented as the means ± SDs for in vitro experiments and means ± SEMs for in vivo experiments

    Article Snippet: Chromatin samples were precipitated with rabbit anti-BRD4 antibody (#83375, CST) or an equivalent amount of normal rabbit IgG isotype control (#2729, CST) prior to the addition of protein G magnetic beads.

    Techniques: RNA Sequencing, Two Tailed Test, Knockdown, In Vivo, Control, Expressing, Gene Expression, Incubation, Staining, Activity Assay, Luciferase, Protein Binding, Inhibition, In Vitro