Review





Similar Products

90
Santa Cruz Biotechnology pbrm1 inhibition
Pbrm1 Inhibition, supplied by Santa Cruz Biotechnology, 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/pbrm1 inhibition/product/Santa Cruz Biotechnology
Average 90 stars, based on 1 article reviews
pbrm1 inhibition - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

93
Proteintech pbrm1 anti pbrm1

Pbrm1 Anti Pbrm1, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/pbrm1 anti pbrm1/product/Proteintech
Average 93 stars, based on 1 article reviews
pbrm1 anti pbrm1 - by Bioz Stars, 2026-05
93/100 stars
  Buy from Supplier

93
Proteintech pbrm1

Pbrm1, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/pbrm1/product/Proteintech
Average 93 stars, based on 1 article reviews
pbrm1 - by Bioz Stars, 2026-05
93/100 stars
  Buy from Supplier

96
Cell Signaling Technology Inc pbrm1

Pbrm1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/pbrm1/product/Cell Signaling Technology Inc
Average 96 stars, based on 1 article reviews
pbrm1 - by Bioz Stars, 2026-05
96/100 stars
  Buy from Supplier

94
Bethyl pbrm1
Evaluation of SWI/SNF components and TAZ expression in human ITPN samples. ( A ) Expression of SWI/SNF components, including BRG1, BRM, ARID1A, and <t>PBRM1,</t> in human ITPN specimens. Additionally, the expression levels of pAKT and TAZ were analyzed. Black, blue, green, and red indicate negative, weak, moderate, and strong expression, respectively. Cases with reduced expression of any SWI/SNF complex component are shown in yellow . ( B ) Summary of BRG1 staining for human IPMN and ITPN samples. Immunohistochemistry for BRG1 in IPMN (n = 20), ITPN (n = 12), and adjacent normal pancreas (n = 3) specimens. Images of the adjacent normal pancreas were captured from the same tissue slide as IPMN or ITPN, if available. Scale bar, 20 mm. Tables on the right show the number of samples classified as ITPN or IPMN and their staining intensity. Statistical analysis was performed using the Mann–Whitney U test. ( C ) Analysis of Spearman’s correlation coefficients and scatterplots with jitter and linear regression. There was a significant negative correlation between BRG1 and TAZ expression (−0.803). There was a moderate negative correlation between ARID1A or BRM and TAZ expression (−0.422 and −0.518, respectively). No correlation was observed between PBRM1 or pAKT and TAZ expression (0.147 and 0.125, respectively). ( D ) Representative cases are shown. Scale bar, 20 μm.
Pbrm1, supplied by Bethyl, 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/pbrm1/product/Bethyl
Average 94 stars, based on 1 article reviews
pbrm1 - by Bioz Stars, 2026-05
94/100 stars
  Buy from Supplier

94
Addgene inc hal 390 myc tag fmc63 28 wpre3 sv40pa har
Evaluation of SWI/SNF components and TAZ expression in human ITPN samples. ( A ) Expression of SWI/SNF components, including BRG1, BRM, ARID1A, and <t>PBRM1,</t> in human ITPN specimens. Additionally, the expression levels of pAKT and TAZ were analyzed. Black, blue, green, and red indicate negative, weak, moderate, and strong expression, respectively. Cases with reduced expression of any SWI/SNF complex component are shown in yellow . ( B ) Summary of BRG1 staining for human IPMN and ITPN samples. Immunohistochemistry for BRG1 in IPMN (n = 20), ITPN (n = 12), and adjacent normal pancreas (n = 3) specimens. Images of the adjacent normal pancreas were captured from the same tissue slide as IPMN or ITPN, if available. Scale bar, 20 mm. Tables on the right show the number of samples classified as ITPN or IPMN and their staining intensity. Statistical analysis was performed using the Mann–Whitney U test. ( C ) Analysis of Spearman’s correlation coefficients and scatterplots with jitter and linear regression. There was a significant negative correlation between BRG1 and TAZ expression (−0.803). There was a moderate negative correlation between ARID1A or BRM and TAZ expression (−0.422 and −0.518, respectively). No correlation was observed between PBRM1 or pAKT and TAZ expression (0.147 and 0.125, respectively). ( D ) Representative cases are shown. Scale bar, 20 μm.
Hal 390 Myc Tag Fmc63 28 Wpre3 Sv40pa Har, supplied by Addgene inc, 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/hal 390 myc tag fmc63 28 wpre3 sv40pa har/product/Addgene inc
Average 94 stars, based on 1 article reviews
hal 390 myc tag fmc63 28 wpre3 sv40pa har - by Bioz Stars, 2026-05
94/100 stars
  Buy from Supplier

94
Bethyl a301 591a
Evaluation of SWI/SNF components and TAZ expression in human ITPN samples. ( A ) Expression of SWI/SNF components, including BRG1, BRM, ARID1A, and <t>PBRM1,</t> in human ITPN specimens. Additionally, the expression levels of pAKT and TAZ were analyzed. Black, blue, green, and red indicate negative, weak, moderate, and strong expression, respectively. Cases with reduced expression of any SWI/SNF complex component are shown in yellow . ( B ) Summary of BRG1 staining for human IPMN and ITPN samples. Immunohistochemistry for BRG1 in IPMN (n = 20), ITPN (n = 12), and adjacent normal pancreas (n = 3) specimens. Images of the adjacent normal pancreas were captured from the same tissue slide as IPMN or ITPN, if available. Scale bar, 20 mm. Tables on the right show the number of samples classified as ITPN or IPMN and their staining intensity. Statistical analysis was performed using the Mann–Whitney U test. ( C ) Analysis of Spearman’s correlation coefficients and scatterplots with jitter and linear regression. There was a significant negative correlation between BRG1 and TAZ expression (−0.803). There was a moderate negative correlation between ARID1A or BRM and TAZ expression (−0.422 and −0.518, respectively). No correlation was observed between PBRM1 or pAKT and TAZ expression (0.147 and 0.125, respectively). ( D ) Representative cases are shown. Scale bar, 20 μm.
A301 591a, supplied by Bethyl, 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/a301 591a/product/Bethyl
Average 94 stars, based on 1 article reviews
a301 591a - by Bioz Stars, 2026-05
94/100 stars
  Buy from Supplier

86
Jackson Laboratory pbrm1 f f strain
Loss of <t>Pbrm1</t> enhances the activation of hepatic progenitor cells in response to cholestatic injury. ( A ) Immunohistochemical staining confirms the loss of PBRM1 expression in hepatocytes and cholangiocytes in the interlobular bile ducts of Pbrm1 KO mice. Scale bar: 100 μm. ( B ) Overview of the DDC diet treatment protocol. ( C – G ) Serum levels of AST ( C ), ALT ( D ), total bilirubin ( E ), direct bilirubin ( F ), and ALP ( G ) in WT and Pbrm1 KO mice following DDC diet treatment (n = 11 for each group for A – E , n = 5 for each group for F and G ). ∗ P < .05 and ∗∗ P < .01.
Pbrm1 F F Strain, supplied by Jackson Laboratory, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/pbrm1 f f strain/product/Jackson Laboratory
Average 86 stars, based on 1 article reviews
pbrm1 f f strain - by Bioz Stars, 2026-05
86/100 stars
  Buy from Supplier

Image Search Results


Journal: bioRxiv

Article Title: Discrete genetic effects of VHL and PBRM1 inactivation co-operate to disrupt epithelial homeostasis and promote ccRCC

doi: 10.64898/2026.02.18.706657

Figure Lengend Snippet:

Article Snippet: Antigens were detected by overnight incubation at 4°C with primary antibodies diluted 1:1000 in Dako Antibody Diluent Solution (Agilent S3022): tdTomato – anti-RFP (Rockland 600-401-379, RRID:AB_2209751); PBRM1 – anti-PBRM1 (Proteintech 12563-1-AP, RRID:AB_2877865).

Techniques:

(a) Pseudo-bulked L2FC plotted against the negative logarithm of the p value (two-tailed Wald test with multiple testing correction by Benjamini-Hochberg method) for genes in VPKO Early versus VKO Early cells. Genes significantly (p < 0.01) and robustly (|L2FC| > 0.5) regulated are colored green. Candidate genes pertaining to lipid and sterol metabolism and epithelial morphogenesis and adhesion are labelled. (b) Gene Ontology terms for biological processes that are significantly over-represented among genes upregulated by Pbrm1 inactivation in Vhl -null cells. GO terms whose over-representation is significant (p < 0.01; one-sided Fisher’s exact test corrected by false discovery rate), and whose member genes together exhibit a net positive average L2FC in VPKO Early versus VKO Early cells are shown. Terms are ordered and tiles are colored by the average L2FC. (c) Pseudo-bulked L2FC in VPKO Early versus VKO Early cells plotted against changes in VPKO Late versus VKO Late cells showing that Pbrm1 -dependent regulation of genes is correlated between the two timepoints. (d) Pseudo-bulked L2FC plotted against the negative logarithm of the p value (two-tailed Wald test with multiple testing correction by Benjamini-Hochberg method) for genes in VPKO Late versus VPKO Early cells, showing that genes significantly regulated after Pbrm1 inactivation at the early timepoint (colored green) are mostly not regulated significantly over time (i.e., have either |L2FC| < 0.5 or p > 0.01 in the VPKO Late versus VPKO Early comparison). (e) Pseudo-bulked L2FC in VPKO Late versus VPKO Early cells plotted against changes in VKO Late versus VKO Early cells showing that time-dependent changes in gene expression are correlated in Vhl- null and Vhl/Pbrm1 -null cells. (f) Expression of sets of genes up- or downregulated over time in Vhl -null cells of any PT identity (‘Adaptive Up’ or ‘Adaptive Down’) in ConKO, VKO, and VPKO cells sequenced either 1-3 weeks (early) or 4-12 months (late) following recombination. Median values and inter-quartile ranges of the data are presented separately for cells from each mouse. Pairwise comparisons have been made between means of the median values for mice of different genotypes using two-tailed two-way ANOVA with multiple testing correction using the Benjamini-Hochberg method. Adaptive upregulation is maintained, and adaptive downregulation is partially accelerated following Pbrm1 inactivation in Vhl -null cells. (g) Pseudo-bulked L2FC in VPKO Early versus VKO Early cells plotted against changes in ConPKO Early versus ConKO Early cells, showing that Pbrm1 -dependent gene regulation is correlated in Vhl -null and Vhl -competent cells. (h) Pseudo-bulked L2FC in VKO Early versus ConKO Early cells plotted against changes in VPKO Early versus ConPKO Early cells, showing that Vhl -dependent gene regulation is correlated between Pbrm1 -competent and Pbrm1 -null cells. (c, e, g, h ) Spearman’s correlation coefficient (ρ) calculated for genes that exhibit significant regulation in either of the depicted comparisons. (i) Oil Red O staining in renal sections from ConKO, ConPKO, VKO, and VPKO mice harvested 4-12 months (late) following recombination, showing the accumulation of lipid droplets (stained red) in PT cells of ConPKO and VPKO mice. Scale bar, 100 μm. 40x magnification.

Journal: bioRxiv

Article Title: Discrete genetic effects of VHL and PBRM1 inactivation co-operate to disrupt epithelial homeostasis and promote ccRCC

doi: 10.64898/2026.02.18.706657

Figure Lengend Snippet: (a) Pseudo-bulked L2FC plotted against the negative logarithm of the p value (two-tailed Wald test with multiple testing correction by Benjamini-Hochberg method) for genes in VPKO Early versus VKO Early cells. Genes significantly (p < 0.01) and robustly (|L2FC| > 0.5) regulated are colored green. Candidate genes pertaining to lipid and sterol metabolism and epithelial morphogenesis and adhesion are labelled. (b) Gene Ontology terms for biological processes that are significantly over-represented among genes upregulated by Pbrm1 inactivation in Vhl -null cells. GO terms whose over-representation is significant (p < 0.01; one-sided Fisher’s exact test corrected by false discovery rate), and whose member genes together exhibit a net positive average L2FC in VPKO Early versus VKO Early cells are shown. Terms are ordered and tiles are colored by the average L2FC. (c) Pseudo-bulked L2FC in VPKO Early versus VKO Early cells plotted against changes in VPKO Late versus VKO Late cells showing that Pbrm1 -dependent regulation of genes is correlated between the two timepoints. (d) Pseudo-bulked L2FC plotted against the negative logarithm of the p value (two-tailed Wald test with multiple testing correction by Benjamini-Hochberg method) for genes in VPKO Late versus VPKO Early cells, showing that genes significantly regulated after Pbrm1 inactivation at the early timepoint (colored green) are mostly not regulated significantly over time (i.e., have either |L2FC| < 0.5 or p > 0.01 in the VPKO Late versus VPKO Early comparison). (e) Pseudo-bulked L2FC in VPKO Late versus VPKO Early cells plotted against changes in VKO Late versus VKO Early cells showing that time-dependent changes in gene expression are correlated in Vhl- null and Vhl/Pbrm1 -null cells. (f) Expression of sets of genes up- or downregulated over time in Vhl -null cells of any PT identity (‘Adaptive Up’ or ‘Adaptive Down’) in ConKO, VKO, and VPKO cells sequenced either 1-3 weeks (early) or 4-12 months (late) following recombination. Median values and inter-quartile ranges of the data are presented separately for cells from each mouse. Pairwise comparisons have been made between means of the median values for mice of different genotypes using two-tailed two-way ANOVA with multiple testing correction using the Benjamini-Hochberg method. Adaptive upregulation is maintained, and adaptive downregulation is partially accelerated following Pbrm1 inactivation in Vhl -null cells. (g) Pseudo-bulked L2FC in VPKO Early versus VKO Early cells plotted against changes in ConPKO Early versus ConKO Early cells, showing that Pbrm1 -dependent gene regulation is correlated in Vhl -null and Vhl -competent cells. (h) Pseudo-bulked L2FC in VKO Early versus ConKO Early cells plotted against changes in VPKO Early versus ConPKO Early cells, showing that Vhl -dependent gene regulation is correlated between Pbrm1 -competent and Pbrm1 -null cells. (c, e, g, h ) Spearman’s correlation coefficient (ρ) calculated for genes that exhibit significant regulation in either of the depicted comparisons. (i) Oil Red O staining in renal sections from ConKO, ConPKO, VKO, and VPKO mice harvested 4-12 months (late) following recombination, showing the accumulation of lipid droplets (stained red) in PT cells of ConPKO and VPKO mice. Scale bar, 100 μm. 40x magnification.

Article Snippet: Antigens were detected by overnight incubation at 4°C with primary antibodies diluted 1:1000 in Dako Antibody Diluent Solution (Agilent S3022): tdTomato – anti-RFP (Rockland 600-401-379, RRID:AB_2209751); PBRM1 – anti-PBRM1 (Proteintech 12563-1-AP, RRID:AB_2877865).

Techniques: Two Tailed Test, Comparison, Gene Expression, Expressing, Staining

(a) Pseudo-bulked L2FC in VPKO Late versus ConKO Late cells plotted against ‘predicted’ changes calculated as addition of the effects of Vhl inactivation (VKO Late vs ConKO Late) and early effects of Pbrm1 inactivation (VPKO Early vs VKO Early). Genes that exhibited significant regulation in either of the depicted comparisons are plotted. Genes whose regulation in VPKO Late versus ConKO Late cells exhibit significant (p < 0.01; two-sided Wald z-test) deviation from the additive effects of Vhl and Pbrm1 inactivation are colored green. Spearman’s correlation coefficient (ρ). (b) Cells from ConKO, VKO, and VPKO mice projected onto UMAP space and clusters defined for VPKO Late cells (left panel), and the proportion of cells in each cluster derived from mice of each of the genotypes and timepoints (right panel), showing differential occupancy of Clusters 12, 9, and 2 by VPKO Late cells. (c-e) Proportion of cells from VPKO Late mice or mice from other genotypes and timepoints in Clusters 12 (c) , 9 (d ), and 2 (e ). Pairwise comparisons by Wilcoxon test. Error bars indicate the median and the inter-quartile range. (f) Expression of candidate genes that are part of the integrated stress response (ISR), and expression score for an ISR gene module derived from Han et al., 2023, in cells from Clusters 9, 12, or other clusters, showing that Clusters 12 and 9 are both characterized by increased expression of ISR genes. (g) Proportion of cells with detected reads for candidate genes downregulated in cells from Cluster 2 compared to those in the remaining clusters, showing that Cluster 2 cells are characterized by reduced expression of several PT differentiation transcription factors and adhesion molecules.

Journal: bioRxiv

Article Title: Discrete genetic effects of VHL and PBRM1 inactivation co-operate to disrupt epithelial homeostasis and promote ccRCC

doi: 10.64898/2026.02.18.706657

Figure Lengend Snippet: (a) Pseudo-bulked L2FC in VPKO Late versus ConKO Late cells plotted against ‘predicted’ changes calculated as addition of the effects of Vhl inactivation (VKO Late vs ConKO Late) and early effects of Pbrm1 inactivation (VPKO Early vs VKO Early). Genes that exhibited significant regulation in either of the depicted comparisons are plotted. Genes whose regulation in VPKO Late versus ConKO Late cells exhibit significant (p < 0.01; two-sided Wald z-test) deviation from the additive effects of Vhl and Pbrm1 inactivation are colored green. Spearman’s correlation coefficient (ρ). (b) Cells from ConKO, VKO, and VPKO mice projected onto UMAP space and clusters defined for VPKO Late cells (left panel), and the proportion of cells in each cluster derived from mice of each of the genotypes and timepoints (right panel), showing differential occupancy of Clusters 12, 9, and 2 by VPKO Late cells. (c-e) Proportion of cells from VPKO Late mice or mice from other genotypes and timepoints in Clusters 12 (c) , 9 (d ), and 2 (e ). Pairwise comparisons by Wilcoxon test. Error bars indicate the median and the inter-quartile range. (f) Expression of candidate genes that are part of the integrated stress response (ISR), and expression score for an ISR gene module derived from Han et al., 2023, in cells from Clusters 9, 12, or other clusters, showing that Clusters 12 and 9 are both characterized by increased expression of ISR genes. (g) Proportion of cells with detected reads for candidate genes downregulated in cells from Cluster 2 compared to those in the remaining clusters, showing that Cluster 2 cells are characterized by reduced expression of several PT differentiation transcription factors and adhesion molecules.

Article Snippet: Antigens were detected by overnight incubation at 4°C with primary antibodies diluted 1:1000 in Dako Antibody Diluent Solution (Agilent S3022): tdTomato – anti-RFP (Rockland 600-401-379, RRID:AB_2209751); PBRM1 – anti-PBRM1 (Proteintech 12563-1-AP, RRID:AB_2877865).

Techniques: Derivative Assay, Expressing

Journal: bioRxiv

Article Title: Discrete genetic effects of VHL and PBRM1 inactivation co-operate to disrupt epithelial homeostasis and promote ccRCC

doi: 10.64898/2026.02.18.706657

Figure Lengend Snippet:

Article Snippet: Primary antibodies: tdTomato (Rockland 600-401-379, RRID:AB_2209751) and PBRM1 (Proteintech 12563-1-AP, RRID:AB_2877865) were diluted in blocking buffer (1:1,000).

Techniques:

(a) Pseudo-bulked L2FC plotted against the negative logarithm of the p value (two-tailed Wald test with multiple testing correction by Benjamini-Hochberg method) for genes in VPKO Early versus VKO Early cells. Genes significantly (p < 0.01) and robustly (|L2FC| > 0.5) regulated are colored green. Candidate genes pertaining to lipid and sterol metabolism and epithelial morphogenesis and adhesion are labelled. (b) Gene Ontology terms for biological processes that are significantly over-represented among genes upregulated by Pbrm1 inactivation in Vhl -null cells. GO terms whose over-representation is significant (p < 0.01; one-sided Fisher’s exact test corrected by false discovery rate), and whose member genes together exhibit a net positive average L2FC in VPKO Early versus VKO Early cells are shown. Terms are ordered and tiles are colored by the average L2FC. (c) Pseudo-bulked L2FC in VPKO Early versus VKO Early cells plotted against changes in VPKO Late versus VKO Late cells showing that Pbrm1 -dependent regulation of genes is correlated between the two timepoints. (d) Pseudo-bulked L2FC plotted against the negative logarithm of the p value (two-tailed Wald test with multiple testing correction by Benjamini-Hochberg method) for genes in VPKO Late versus VPKO Early cells, showing that genes significantly regulated after Pbrm1 inactivation at the early timepoint (colored green) are mostly not regulated significantly over time (i.e., have either |L2FC| < 0.5 or p > 0.01 in the VPKO Late versus VPKO Early comparison). (e) Pseudo-bulked L2FC in VPKO Late versus VPKO Early cells plotted against changes in VKO Late versus VKO Early cells showing that time-dependent changes in gene expression are correlated in Vhl- null and Vhl/Pbrm1 -null cells. (f) Expression of sets of genes up- or downregulated over time in Vhl -null cells of any PT identity (‘Adaptive Up’ or ‘Adaptive Down’) in ConKO, VKO, and VPKO cells sequenced either 1-3 weeks (early) or 4-12 months (late) following recombination. Median values and inter-quartile ranges of the data are presented separately for cells from each mouse. Pairwise comparisons have been made between means of the median values for mice of different genotypes using two-tailed two-way ANOVA with multiple testing correction using the Benjamini-Hochberg method. Adaptive upregulation is maintained, and adaptive downregulation is partially accelerated following Pbrm1 inactivation in Vhl -null cells. (g) Pseudo-bulked L2FC in VPKO Early versus VKO Early cells plotted against changes in ConPKO Early versus ConKO Early cells, showing that Pbrm1 -dependent gene regulation is correlated in Vhl -null and Vhl -competent cells. (h) Pseudo-bulked L2FC in VKO Early versus ConKO Early cells plotted against changes in VPKO Early versus ConPKO Early cells, showing that Vhl -dependent gene regulation is correlated between Pbrm1 -competent and Pbrm1 -null cells. (c, e, g, h ) Spearman’s correlation coefficient (ρ) calculated for genes that exhibit significant regulation in either of the depicted comparisons. (i) Oil Red O staining in renal sections from ConKO, ConPKO, VKO, and VPKO mice harvested 4-12 months (late) following recombination, showing the accumulation of lipid droplets (stained red) in PT cells of ConPKO and VPKO mice. Scale bar, 100 μm. 40x magnification.

Journal: bioRxiv

Article Title: Discrete genetic effects of VHL and PBRM1 inactivation co-operate to disrupt epithelial homeostasis and promote ccRCC

doi: 10.64898/2026.02.18.706657

Figure Lengend Snippet: (a) Pseudo-bulked L2FC plotted against the negative logarithm of the p value (two-tailed Wald test with multiple testing correction by Benjamini-Hochberg method) for genes in VPKO Early versus VKO Early cells. Genes significantly (p < 0.01) and robustly (|L2FC| > 0.5) regulated are colored green. Candidate genes pertaining to lipid and sterol metabolism and epithelial morphogenesis and adhesion are labelled. (b) Gene Ontology terms for biological processes that are significantly over-represented among genes upregulated by Pbrm1 inactivation in Vhl -null cells. GO terms whose over-representation is significant (p < 0.01; one-sided Fisher’s exact test corrected by false discovery rate), and whose member genes together exhibit a net positive average L2FC in VPKO Early versus VKO Early cells are shown. Terms are ordered and tiles are colored by the average L2FC. (c) Pseudo-bulked L2FC in VPKO Early versus VKO Early cells plotted against changes in VPKO Late versus VKO Late cells showing that Pbrm1 -dependent regulation of genes is correlated between the two timepoints. (d) Pseudo-bulked L2FC plotted against the negative logarithm of the p value (two-tailed Wald test with multiple testing correction by Benjamini-Hochberg method) for genes in VPKO Late versus VPKO Early cells, showing that genes significantly regulated after Pbrm1 inactivation at the early timepoint (colored green) are mostly not regulated significantly over time (i.e., have either |L2FC| < 0.5 or p > 0.01 in the VPKO Late versus VPKO Early comparison). (e) Pseudo-bulked L2FC in VPKO Late versus VPKO Early cells plotted against changes in VKO Late versus VKO Early cells showing that time-dependent changes in gene expression are correlated in Vhl- null and Vhl/Pbrm1 -null cells. (f) Expression of sets of genes up- or downregulated over time in Vhl -null cells of any PT identity (‘Adaptive Up’ or ‘Adaptive Down’) in ConKO, VKO, and VPKO cells sequenced either 1-3 weeks (early) or 4-12 months (late) following recombination. Median values and inter-quartile ranges of the data are presented separately for cells from each mouse. Pairwise comparisons have been made between means of the median values for mice of different genotypes using two-tailed two-way ANOVA with multiple testing correction using the Benjamini-Hochberg method. Adaptive upregulation is maintained, and adaptive downregulation is partially accelerated following Pbrm1 inactivation in Vhl -null cells. (g) Pseudo-bulked L2FC in VPKO Early versus VKO Early cells plotted against changes in ConPKO Early versus ConKO Early cells, showing that Pbrm1 -dependent gene regulation is correlated in Vhl -null and Vhl -competent cells. (h) Pseudo-bulked L2FC in VKO Early versus ConKO Early cells plotted against changes in VPKO Early versus ConPKO Early cells, showing that Vhl -dependent gene regulation is correlated between Pbrm1 -competent and Pbrm1 -null cells. (c, e, g, h ) Spearman’s correlation coefficient (ρ) calculated for genes that exhibit significant regulation in either of the depicted comparisons. (i) Oil Red O staining in renal sections from ConKO, ConPKO, VKO, and VPKO mice harvested 4-12 months (late) following recombination, showing the accumulation of lipid droplets (stained red) in PT cells of ConPKO and VPKO mice. Scale bar, 100 μm. 40x magnification.

Article Snippet: Primary antibodies: tdTomato (Rockland 600-401-379, RRID:AB_2209751) and PBRM1 (Proteintech 12563-1-AP, RRID:AB_2877865) were diluted in blocking buffer (1:1,000).

Techniques: Two Tailed Test, Comparison, Gene Expression, Expressing, Staining

(a) Pseudo-bulked L2FC in VPKO Late versus ConKO Late cells plotted against ‘predicted’ changes calculated as addition of the effects of Vhl inactivation (VKO Late vs ConKO Late) and early effects of Pbrm1 inactivation (VPKO Early vs VKO Early). Genes that exhibited significant regulation in either of the depicted comparisons are plotted. Genes whose regulation in VPKO Late versus ConKO Late cells exhibit significant (p < 0.01; two-sided Wald z-test) deviation from the additive effects of Vhl and Pbrm1 inactivation are colored green. Spearman’s correlation coefficient (ρ). (b) Cells from ConKO, VKO, and VPKO mice projected onto UMAP space and clusters defined for VPKO Late cells (left panel), and the proportion of cells in each cluster derived from mice of each of the genotypes and timepoints (right panel), showing differential occupancy of Clusters 12, 9, and 2 by VPKO Late cells. (c-e) Proportion of cells from VPKO Late mice or mice from other genotypes and timepoints in Clusters 12 (c) , 9 (d ), and 2 (e ). Pairwise comparisons by Wilcoxon test. Error bars indicate the median and the inter-quartile range. (f) Expression of candidate genes that are part of the integrated stress response (ISR), and expression score for an ISR gene module derived from Han et al., 2023, in cells from Clusters 9, 12, or other clusters, showing that Clusters 12 and 9 are both characterized by increased expression of ISR genes. (g) Proportion of cells with detected reads for candidate genes downregulated in cells from Cluster 2 compared to those in the remaining clusters, showing that Cluster 2 cells are characterized by reduced expression of several PT differentiation transcription factors and adhesion molecules.

Journal: bioRxiv

Article Title: Discrete genetic effects of VHL and PBRM1 inactivation co-operate to disrupt epithelial homeostasis and promote ccRCC

doi: 10.64898/2026.02.18.706657

Figure Lengend Snippet: (a) Pseudo-bulked L2FC in VPKO Late versus ConKO Late cells plotted against ‘predicted’ changes calculated as addition of the effects of Vhl inactivation (VKO Late vs ConKO Late) and early effects of Pbrm1 inactivation (VPKO Early vs VKO Early). Genes that exhibited significant regulation in either of the depicted comparisons are plotted. Genes whose regulation in VPKO Late versus ConKO Late cells exhibit significant (p < 0.01; two-sided Wald z-test) deviation from the additive effects of Vhl and Pbrm1 inactivation are colored green. Spearman’s correlation coefficient (ρ). (b) Cells from ConKO, VKO, and VPKO mice projected onto UMAP space and clusters defined for VPKO Late cells (left panel), and the proportion of cells in each cluster derived from mice of each of the genotypes and timepoints (right panel), showing differential occupancy of Clusters 12, 9, and 2 by VPKO Late cells. (c-e) Proportion of cells from VPKO Late mice or mice from other genotypes and timepoints in Clusters 12 (c) , 9 (d ), and 2 (e ). Pairwise comparisons by Wilcoxon test. Error bars indicate the median and the inter-quartile range. (f) Expression of candidate genes that are part of the integrated stress response (ISR), and expression score for an ISR gene module derived from Han et al., 2023, in cells from Clusters 9, 12, or other clusters, showing that Clusters 12 and 9 are both characterized by increased expression of ISR genes. (g) Proportion of cells with detected reads for candidate genes downregulated in cells from Cluster 2 compared to those in the remaining clusters, showing that Cluster 2 cells are characterized by reduced expression of several PT differentiation transcription factors and adhesion molecules.

Article Snippet: Primary antibodies: tdTomato (Rockland 600-401-379, RRID:AB_2209751) and PBRM1 (Proteintech 12563-1-AP, RRID:AB_2877865) were diluted in blocking buffer (1:1,000).

Techniques: Derivative Assay, Expressing

Evaluation of SWI/SNF components and TAZ expression in human ITPN samples. ( A ) Expression of SWI/SNF components, including BRG1, BRM, ARID1A, and PBRM1, in human ITPN specimens. Additionally, the expression levels of pAKT and TAZ were analyzed. Black, blue, green, and red indicate negative, weak, moderate, and strong expression, respectively. Cases with reduced expression of any SWI/SNF complex component are shown in yellow . ( B ) Summary of BRG1 staining for human IPMN and ITPN samples. Immunohistochemistry for BRG1 in IPMN (n = 20), ITPN (n = 12), and adjacent normal pancreas (n = 3) specimens. Images of the adjacent normal pancreas were captured from the same tissue slide as IPMN or ITPN, if available. Scale bar, 20 mm. Tables on the right show the number of samples classified as ITPN or IPMN and their staining intensity. Statistical analysis was performed using the Mann–Whitney U test. ( C ) Analysis of Spearman’s correlation coefficients and scatterplots with jitter and linear regression. There was a significant negative correlation between BRG1 and TAZ expression (−0.803). There was a moderate negative correlation between ARID1A or BRM and TAZ expression (−0.422 and −0.518, respectively). No correlation was observed between PBRM1 or pAKT and TAZ expression (0.147 and 0.125, respectively). ( D ) Representative cases are shown. Scale bar, 20 μm.

Journal: Cellular and Molecular Gastroenterology and Hepatology

Article Title: Loss of Brg1 and Pten in Pancreatic Ductal Cells Forms Intraductal Tubulopapillary Neoplasm via the YAP/TAZ Pathway

doi: 10.1016/j.jcmgh.2025.101639

Figure Lengend Snippet: Evaluation of SWI/SNF components and TAZ expression in human ITPN samples. ( A ) Expression of SWI/SNF components, including BRG1, BRM, ARID1A, and PBRM1, in human ITPN specimens. Additionally, the expression levels of pAKT and TAZ were analyzed. Black, blue, green, and red indicate negative, weak, moderate, and strong expression, respectively. Cases with reduced expression of any SWI/SNF complex component are shown in yellow . ( B ) Summary of BRG1 staining for human IPMN and ITPN samples. Immunohistochemistry for BRG1 in IPMN (n = 20), ITPN (n = 12), and adjacent normal pancreas (n = 3) specimens. Images of the adjacent normal pancreas were captured from the same tissue slide as IPMN or ITPN, if available. Scale bar, 20 mm. Tables on the right show the number of samples classified as ITPN or IPMN and their staining intensity. Statistical analysis was performed using the Mann–Whitney U test. ( C ) Analysis of Spearman’s correlation coefficients and scatterplots with jitter and linear regression. There was a significant negative correlation between BRG1 and TAZ expression (−0.803). There was a moderate negative correlation between ARID1A or BRM and TAZ expression (−0.422 and −0.518, respectively). No correlation was observed between PBRM1 or pAKT and TAZ expression (0.147 and 0.125, respectively). ( D ) Representative cases are shown. Scale bar, 20 μm.

Article Snippet: PBRM1 , Bethyl , 1:500 , A301-591A.

Techniques: Expressing, Staining, Immunohistochemistry, MANN-WHITNEY

Loss of Pbrm1 enhances the activation of hepatic progenitor cells in response to cholestatic injury. ( A ) Immunohistochemical staining confirms the loss of PBRM1 expression in hepatocytes and cholangiocytes in the interlobular bile ducts of Pbrm1 KO mice. Scale bar: 100 μm. ( B ) Overview of the DDC diet treatment protocol. ( C – G ) Serum levels of AST ( C ), ALT ( D ), total bilirubin ( E ), direct bilirubin ( F ), and ALP ( G ) in WT and Pbrm1 KO mice following DDC diet treatment (n = 11 for each group for A – E , n = 5 for each group for F and G ). ∗ P < .05 and ∗∗ P < .01.

Journal: Cellular and Molecular Gastroenterology and Hepatology

Article Title: Pbrm1 Loss Induces a Permissive Chromatin State for Cholangiocytic Differentiation and Cholangiocarcinoma Formation

doi: 10.1016/j.jcmgh.2025.101720

Figure Lengend Snippet: Loss of Pbrm1 enhances the activation of hepatic progenitor cells in response to cholestatic injury. ( A ) Immunohistochemical staining confirms the loss of PBRM1 expression in hepatocytes and cholangiocytes in the interlobular bile ducts of Pbrm1 KO mice. Scale bar: 100 μm. ( B ) Overview of the DDC diet treatment protocol. ( C – G ) Serum levels of AST ( C ), ALT ( D ), total bilirubin ( E ), direct bilirubin ( F ), and ALP ( G ) in WT and Pbrm1 KO mice following DDC diet treatment (n = 11 for each group for A – E , n = 5 for each group for F and G ). ∗ P < .05 and ∗∗ P < .01.

Article Snippet: The Pbrm1 f/f strain (B6;129- Pbrm1 tm1Zhwa/J ), Kras LSL-G12D strain (B6.129S4- Kras tm4Tyj/J ), and Alb -Cre strain (B6.Cg-Speer6-ps1 Tg( Alb -cre)21Mgn/J ) were obtained from the Jackson Laboratories.

Techniques: Activation Assay, Immunohistochemical staining, Staining, Expressing

Histologic and molecular evidence of enhanced hepatic progenitor cell activation in response to cholestatic injury in Pbrm1 KO liver. ( A ) Histological analysis of H&E and KRT19-stained sections reveals increased bile ductular proliferation in the livers of Pbrm1 KO mice after DDC diet treatment. ( B ) Quantification of KRT19-positive areas in the livers of WT and Pbrm1 KO mice post-DDC diet treatment (n = 14 for each group). ( C ) Immunostaining demonstrates loss of PBRM1 expression in exaggerated ductular reaction in Pbrm1 KO liver. ( D ) Quantification of SOX9-positive hepatocytes in the livers of WT and Pbrm1 KO mice post-DDC diet treatment (n = 14 for each group). ( E and F ) RNA-seq data shows downregulation of hepatocyte markers Fabp1 and C2, and upregulation of cholangiocyte marker Krt19 and progenitor marker Lgr5 in Pbrm1 KO mice on the DDC diet ( E ), with no differences observed in untreated mice (n = 3 for each group) ( F ). ( G ) Forty-eight hours post-partial hepatectomy, the liver-to-body weight ratio, an indicator of liver regeneration, shows no significant difference between Pbrm1 KO (n = 5) and WT mice (n = 7). ∗ P < .05; ∗∗ P < .01; and ∗∗∗ P < .001. Scale bars for ( A ): 500 μm; for ( C ) and ( D ): 100 μm.

Journal: Cellular and Molecular Gastroenterology and Hepatology

Article Title: Pbrm1 Loss Induces a Permissive Chromatin State for Cholangiocytic Differentiation and Cholangiocarcinoma Formation

doi: 10.1016/j.jcmgh.2025.101720

Figure Lengend Snippet: Histologic and molecular evidence of enhanced hepatic progenitor cell activation in response to cholestatic injury in Pbrm1 KO liver. ( A ) Histological analysis of H&E and KRT19-stained sections reveals increased bile ductular proliferation in the livers of Pbrm1 KO mice after DDC diet treatment. ( B ) Quantification of KRT19-positive areas in the livers of WT and Pbrm1 KO mice post-DDC diet treatment (n = 14 for each group). ( C ) Immunostaining demonstrates loss of PBRM1 expression in exaggerated ductular reaction in Pbrm1 KO liver. ( D ) Quantification of SOX9-positive hepatocytes in the livers of WT and Pbrm1 KO mice post-DDC diet treatment (n = 14 for each group). ( E and F ) RNA-seq data shows downregulation of hepatocyte markers Fabp1 and C2, and upregulation of cholangiocyte marker Krt19 and progenitor marker Lgr5 in Pbrm1 KO mice on the DDC diet ( E ), with no differences observed in untreated mice (n = 3 for each group) ( F ). ( G ) Forty-eight hours post-partial hepatectomy, the liver-to-body weight ratio, an indicator of liver regeneration, shows no significant difference between Pbrm1 KO (n = 5) and WT mice (n = 7). ∗ P < .05; ∗∗ P < .01; and ∗∗∗ P < .001. Scale bars for ( A ): 500 μm; for ( C ) and ( D ): 100 μm.

Article Snippet: The Pbrm1 f/f strain (B6;129- Pbrm1 tm1Zhwa/J ), Kras LSL-G12D strain (B6.129S4- Kras tm4Tyj/J ), and Alb -Cre strain (B6.Cg-Speer6-ps1 Tg( Alb -cre)21Mgn/J ) were obtained from the Jackson Laboratories.

Techniques: Activation Assay, Staining, Immunostaining, Expressing, RNA Sequencing, Marker

Loss of Pbrm1 reduces chromatin accessibility of genes associated with hepatocyte differentiation. ( A ) ATAC-seq peaks are concentrated near TSSs in both WT and Pbrm1 KO livers. ( B ) Overall decrease in chromatin accessibility observed in Pbrm1 KO livers. ( C ) ATAC-seq reveals reduced chromatin accessibility in liver-specific genes, particularly those related to hepatocyte differentiation and metabolism, in Pbrm1 KO livers. ( D ) ATAC-seq shows decreased chromatin accessibility in genes downregulated during tumor progression in Pbrm1 KO livers. ( E ) ATAC-seq demonstrates reduced accessibility in genes regulated by hepatocyte-enriched transcription factors such as HNF-4α, HNF-1α, and FOXA2 in Pbrm1 KO livers. ( F ) Motif analysis indicates diminished accessibility at binding sites for liver-enriched transcription factors KLF15, HNF-1α, HNF-4α, and CEBPA in Pbrm1 KO livers. ( G ) Two gene sets linked with H3K27me3 show increased accessibility in Pbrm1 KO livers. (n = 3 for each group).

Journal: Cellular and Molecular Gastroenterology and Hepatology

Article Title: Pbrm1 Loss Induces a Permissive Chromatin State for Cholangiocytic Differentiation and Cholangiocarcinoma Formation

doi: 10.1016/j.jcmgh.2025.101720

Figure Lengend Snippet: Loss of Pbrm1 reduces chromatin accessibility of genes associated with hepatocyte differentiation. ( A ) ATAC-seq peaks are concentrated near TSSs in both WT and Pbrm1 KO livers. ( B ) Overall decrease in chromatin accessibility observed in Pbrm1 KO livers. ( C ) ATAC-seq reveals reduced chromatin accessibility in liver-specific genes, particularly those related to hepatocyte differentiation and metabolism, in Pbrm1 KO livers. ( D ) ATAC-seq shows decreased chromatin accessibility in genes downregulated during tumor progression in Pbrm1 KO livers. ( E ) ATAC-seq demonstrates reduced accessibility in genes regulated by hepatocyte-enriched transcription factors such as HNF-4α, HNF-1α, and FOXA2 in Pbrm1 KO livers. ( F ) Motif analysis indicates diminished accessibility at binding sites for liver-enriched transcription factors KLF15, HNF-1α, HNF-4α, and CEBPA in Pbrm1 KO livers. ( G ) Two gene sets linked with H3K27me3 show increased accessibility in Pbrm1 KO livers. (n = 3 for each group).

Article Snippet: The Pbrm1 f/f strain (B6;129- Pbrm1 tm1Zhwa/J ), Kras LSL-G12D strain (B6.129S4- Kras tm4Tyj/J ), and Alb -Cre strain (B6.Cg-Speer6-ps1 Tg( Alb -cre)21Mgn/J ) were obtained from the Jackson Laboratories.

Techniques: Binding Assay

Correlation between chromatin accessibility and RNA expression in mice with or without DDC diet treatment. ( A ) Volcano plots display differentially expressed genes between Pbrm1 KO and WT livers, both with and without DDC diet treatment. Pbrm1 KO livers exhibit a greater number of downregulated genes compared with WT in both conditions. ( B ) Correlation analysis of RNA expression and chromatin accessibility in Pbrm1 KO and WT livers with or without DDC diet treatment. ( C and D ) Pathway analysis of genes that are downregulated and exhibit reduced chromatin accessibility in Pbrm1 KO livers without ( C ) and with ( D ) DDC diet treatment. ( E and F ) Inhbe ( E ) and Fads1 ( F ) show reduced chromatin accessibility in Pbrm1 KO livers without DDC diet treatment, whereas RNA expression remains similar between Pbrm1 KO and WT. However, after DDC diet treatment, RNA expression of these genes decreases in Pbrm1 KO mice. (n = 3 for each group).

Journal: Cellular and Molecular Gastroenterology and Hepatology

Article Title: Pbrm1 Loss Induces a Permissive Chromatin State for Cholangiocytic Differentiation and Cholangiocarcinoma Formation

doi: 10.1016/j.jcmgh.2025.101720

Figure Lengend Snippet: Correlation between chromatin accessibility and RNA expression in mice with or without DDC diet treatment. ( A ) Volcano plots display differentially expressed genes between Pbrm1 KO and WT livers, both with and without DDC diet treatment. Pbrm1 KO livers exhibit a greater number of downregulated genes compared with WT in both conditions. ( B ) Correlation analysis of RNA expression and chromatin accessibility in Pbrm1 KO and WT livers with or without DDC diet treatment. ( C and D ) Pathway analysis of genes that are downregulated and exhibit reduced chromatin accessibility in Pbrm1 KO livers without ( C ) and with ( D ) DDC diet treatment. ( E and F ) Inhbe ( E ) and Fads1 ( F ) show reduced chromatin accessibility in Pbrm1 KO livers without DDC diet treatment, whereas RNA expression remains similar between Pbrm1 KO and WT. However, after DDC diet treatment, RNA expression of these genes decreases in Pbrm1 KO mice. (n = 3 for each group).

Article Snippet: The Pbrm1 f/f strain (B6;129- Pbrm1 tm1Zhwa/J ), Kras LSL-G12D strain (B6.129S4- Kras tm4Tyj/J ), and Alb -Cre strain (B6.Cg-Speer6-ps1 Tg( Alb -cre)21Mgn/J ) were obtained from the Jackson Laboratories.

Techniques: RNA Expression

Loss of Pbrm1 increases vulnerability to high-fat diet-induced fatty liver. ( A ) After high-fat diet treatment, the liver weight/body weight ratio is increased in Pbrm1 KO mice (n = 7 for each group). ( B and C ) Following high-fat diet treatment, Pbrm1 KO livers exhibit more pronounced fatty changes in H&E-stained histological sections (n = 7 for each group). Scale bar: 500 μm. ( D and E ) Fresh frozen liver specimens stained with Oil Red show increased fat droplet accumulation in Pbrm1 KO liver, with quantification of fat-occupied areas (n = 7 for each group). Scale bar: 500 μm. ( F ) Quantification of triglyceride levels in Pbrm1 KO and WT livers using a colorimetric assay (n = 6 for each group). ( G and H ) Serum levels of AST ( G ) and ALT ( H ) are similar in both Pbrm1 KO and WT mice after high-fat diet treatment (n = 7 for each group). ∗ P < .05 and ∗∗ P < .01.

Journal: Cellular and Molecular Gastroenterology and Hepatology

Article Title: Pbrm1 Loss Induces a Permissive Chromatin State for Cholangiocytic Differentiation and Cholangiocarcinoma Formation

doi: 10.1016/j.jcmgh.2025.101720

Figure Lengend Snippet: Loss of Pbrm1 increases vulnerability to high-fat diet-induced fatty liver. ( A ) After high-fat diet treatment, the liver weight/body weight ratio is increased in Pbrm1 KO mice (n = 7 for each group). ( B and C ) Following high-fat diet treatment, Pbrm1 KO livers exhibit more pronounced fatty changes in H&E-stained histological sections (n = 7 for each group). Scale bar: 500 μm. ( D and E ) Fresh frozen liver specimens stained with Oil Red show increased fat droplet accumulation in Pbrm1 KO liver, with quantification of fat-occupied areas (n = 7 for each group). Scale bar: 500 μm. ( F ) Quantification of triglyceride levels in Pbrm1 KO and WT livers using a colorimetric assay (n = 6 for each group). ( G and H ) Serum levels of AST ( G ) and ALT ( H ) are similar in both Pbrm1 KO and WT mice after high-fat diet treatment (n = 7 for each group). ∗ P < .05 and ∗∗ P < .01.

Article Snippet: The Pbrm1 f/f strain (B6;129- Pbrm1 tm1Zhwa/J ), Kras LSL-G12D strain (B6.129S4- Kras tm4Tyj/J ), and Alb -Cre strain (B6.Cg-Speer6-ps1 Tg( Alb -cre)21Mgn/J ) were obtained from the Jackson Laboratories.

Techniques: Staining, Colorimetric Assay

Interaction between Pbrm1 loss and mutant KRAS in iCCA development. ( A ) Schematic overview of the mouse tumorigenesis model. ( B ) Kaplan-Meier analysis comparing AK (n = 8) and AKP male mice (n = 9) showing the time until illness requiring euthanasia or up to 12 months. ( C ) Representative images of AK and AKP livers, both displaying multiple tumors. ( D ) Histological images showing HCC in an AK mouse and iCCA in an AKP mouse. Scale bar: 100 μm. ( E – G ) Age-matched AKP livers have a higher density of iCCAs per unit area ( E ), whereas the number of hepatocellular neoplasms (HCA and HCC) is similar between AK and AKP livers ( F ). The percentage of iCCAs in the total tumor count is significantly higher in AKP livers ( G ). ( H ) Photographs of 2 AK livers with a dominant HCC in each liver. ( I ) The total tumor areas per unit area is larger in AK livers. ( J ) The total iCCA tumor areas per unit area is larger in AKP livers. ( K ) The total hepatocellular neoplasm tumor areas per unit area is larger in AK livers. (n = 6 for AK mice and n = 5 for AKP mice in E – K ). ∗ P < .05; ∗∗ P < .01; and ∗∗∗ P < .001.

Journal: Cellular and Molecular Gastroenterology and Hepatology

Article Title: Pbrm1 Loss Induces a Permissive Chromatin State for Cholangiocytic Differentiation and Cholangiocarcinoma Formation

doi: 10.1016/j.jcmgh.2025.101720

Figure Lengend Snippet: Interaction between Pbrm1 loss and mutant KRAS in iCCA development. ( A ) Schematic overview of the mouse tumorigenesis model. ( B ) Kaplan-Meier analysis comparing AK (n = 8) and AKP male mice (n = 9) showing the time until illness requiring euthanasia or up to 12 months. ( C ) Representative images of AK and AKP livers, both displaying multiple tumors. ( D ) Histological images showing HCC in an AK mouse and iCCA in an AKP mouse. Scale bar: 100 μm. ( E – G ) Age-matched AKP livers have a higher density of iCCAs per unit area ( E ), whereas the number of hepatocellular neoplasms (HCA and HCC) is similar between AK and AKP livers ( F ). The percentage of iCCAs in the total tumor count is significantly higher in AKP livers ( G ). ( H ) Photographs of 2 AK livers with a dominant HCC in each liver. ( I ) The total tumor areas per unit area is larger in AK livers. ( J ) The total iCCA tumor areas per unit area is larger in AKP livers. ( K ) The total hepatocellular neoplasm tumor areas per unit area is larger in AK livers. (n = 6 for AK mice and n = 5 for AKP mice in E – K ). ∗ P < .05; ∗∗ P < .01; and ∗∗∗ P < .001.

Article Snippet: The Pbrm1 f/f strain (B6;129- Pbrm1 tm1Zhwa/J ), Kras LSL-G12D strain (B6.129S4- Kras tm4Tyj/J ), and Alb -Cre strain (B6.Cg-Speer6-ps1 Tg( Alb -cre)21Mgn/J ) were obtained from the Jackson Laboratories.

Techniques: Mutagenesis

Representative histology and immunophenotype of tumors from AKP and AK mice. ( A – F ) Histology and immunophenotype of an iCCA derived from an AKP liver. Low magnification ( A , 40×) and high magnification ( B , 200×) views of an H&E-stained section show tumor cells arranged in glandular patterns or as isolated cells within a fibrous stroma. IHC analysis reveals that the tumor cells do not express PBRM1 ( C ) or HNF-4α ( D ), but are positive for KRT19 ( E ) and SOX9 ( F ). Histology and immunophenotype analysis of an HCC derived from an AK liver. ( G and H ) Low magnification ( G , 40×) and high magnification ( H , 200×) views of an H&E-stained section reveal tumor cells with abundant eosinophilic cytoplasm arranged in trabecular patterns. IHC staining shows that the tumor cells express PBRM1 ( I ) and HNF-4α ( J ), but lack expression of KRT19 ( K ) and SOX9 ( L ). Scale bars for ( A ) and ( G ): 500 μm; B - F and H - L : 100 μm.

Journal: Cellular and Molecular Gastroenterology and Hepatology

Article Title: Pbrm1 Loss Induces a Permissive Chromatin State for Cholangiocytic Differentiation and Cholangiocarcinoma Formation

doi: 10.1016/j.jcmgh.2025.101720

Figure Lengend Snippet: Representative histology and immunophenotype of tumors from AKP and AK mice. ( A – F ) Histology and immunophenotype of an iCCA derived from an AKP liver. Low magnification ( A , 40×) and high magnification ( B , 200×) views of an H&E-stained section show tumor cells arranged in glandular patterns or as isolated cells within a fibrous stroma. IHC analysis reveals that the tumor cells do not express PBRM1 ( C ) or HNF-4α ( D ), but are positive for KRT19 ( E ) and SOX9 ( F ). Histology and immunophenotype analysis of an HCC derived from an AK liver. ( G and H ) Low magnification ( G , 40×) and high magnification ( H , 200×) views of an H&E-stained section reveal tumor cells with abundant eosinophilic cytoplasm arranged in trabecular patterns. IHC staining shows that the tumor cells express PBRM1 ( I ) and HNF-4α ( J ), but lack expression of KRT19 ( K ) and SOX9 ( L ). Scale bars for ( A ) and ( G ): 500 μm; B - F and H - L : 100 μm.

Article Snippet: The Pbrm1 f/f strain (B6;129- Pbrm1 tm1Zhwa/J ), Kras LSL-G12D strain (B6.129S4- Kras tm4Tyj/J ), and Alb -Cre strain (B6.Cg-Speer6-ps1 Tg( Alb -cre)21Mgn/J ) were obtained from the Jackson Laboratories.

Techniques: Derivative Assay, Staining, Isolation, Immunohistochemistry, Expressing