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HCC methylome analysis identifies a recurrent hypomethylated enhancer targeting a liver-enriched transcriptional factor C/EBPβ . a A circos plot showing genomic regions that are significantly hypomethylated (4528 regions, in red) or hypermethylated (2654 regions, in green) in the tumor group as compared to matched non-tumors based on MBDCap-seq data. b Enrichment of DMRs in annotated functional elements, defined as ( Lm i / Lm )/( L i / L ), where Lm i is the total length of DMRs overlapping with the annotated functional elements of type i and Lm is the total length of all DMRs. L i is the length of the annotated functional elements of type i , and L is the total length of all annotated functional elements combined. c Genome-wide methylation patterns of differentially methylated FANTOM5 enhancers in HCC tumor (orange) and normal liver (blue) tissues based on WGBS. d Enhancer methylation levels of HCC tumor and normal liver tissues. e Relative methylation levels of 894 DMEs between HCC tumor and normal liver tissues. f ChIP-seq tracks of <t>H3K27ac,</t> H3K4me1, H3K4me3, and H3K27me3 at the 1-kb C/EBPβ enhancer locus (chromosome 20: 48,900,221–48,901,229) in HCC tumor tissues. g – i Methylation levels of 13 CpG sites within the C/EBPβ enhancer in 48 pairs of HCC tumor and non-tumor tissues as determined by pyrosequencing. j qRT-PCR analysis of HCC tumor and non-tumor tissues (33 pairs). C/EBPβ mRNA levels were calculated by the 2 −ΔΔCt method using 18s rRNA as internal control, and are presented as fold-changes against the average value of the non-tumor group. k Correlation between C/EBPβ enhancer methylation and expression in 33 pairs of HCC tumor and non-tumor tissues. C/EBPβ mRNA levels are ΔCt values using 18s rRNA as internal control. l , m Kaplan–Meier survival analysis of 48 HCC patients according to their C/EBPβ hypomethylation statuses (relative methylation of tumor vs. non-tumor). Patients with strong hypomethylation (top 24) show poorer ( l ) overall and ( m ) disease-free survival rates than those with weak hypomethylation (bottom 24). Data are presented as mean ± SD. ** P < 0.01; **** P < 0.0001 as calculated by Wilcoxon signed-rank test ( d ), paired two-tailed Student’s t -test ( i , j ), Pearson correlation test ( k ) and Kaplan–Meier survival analysis ( l , m )
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HCC methylome analysis identifies a recurrent hypomethylated enhancer targeting a liver-enriched transcriptional factor C/EBPβ . a A circos plot showing genomic regions that are significantly hypomethylated (4528 regions, in red) or hypermethylated (2654 regions, in green) in the tumor group as compared to matched non-tumors based on MBDCap-seq data. b Enrichment of DMRs in annotated functional elements, defined as ( Lm i / Lm )/( L i / L ), where Lm i is the total length of DMRs overlapping with the annotated functional elements of type i and Lm is the total length of all DMRs. L i is the length of the annotated functional elements of type i , and L is the total length of all annotated functional elements combined. c Genome-wide methylation patterns of differentially methylated FANTOM5 enhancers in HCC tumor (orange) and normal liver (blue) tissues based on WGBS. d Enhancer methylation levels of HCC tumor and normal liver tissues. e Relative methylation levels of 894 DMEs between HCC tumor and normal liver tissues. f ChIP-seq tracks of <t>H3K27ac,</t> H3K4me1, H3K4me3, and H3K27me3 at the 1-kb C/EBPβ enhancer locus (chromosome 20: 48,900,221–48,901,229) in HCC tumor tissues. g – i Methylation levels of 13 CpG sites within the C/EBPβ enhancer in 48 pairs of HCC tumor and non-tumor tissues as determined by pyrosequencing. j qRT-PCR analysis of HCC tumor and non-tumor tissues (33 pairs). C/EBPβ mRNA levels were calculated by the 2 −ΔΔCt method using 18s rRNA as internal control, and are presented as fold-changes against the average value of the non-tumor group. k Correlation between C/EBPβ enhancer methylation and expression in 33 pairs of HCC tumor and non-tumor tissues. C/EBPβ mRNA levels are ΔCt values using 18s rRNA as internal control. l , m Kaplan–Meier survival analysis of 48 HCC patients according to their C/EBPβ hypomethylation statuses (relative methylation of tumor vs. non-tumor). Patients with strong hypomethylation (top 24) show poorer ( l ) overall and ( m ) disease-free survival rates than those with weak hypomethylation (bottom 24). Data are presented as mean ± SD. ** P < 0.01; **** P < 0.0001 as calculated by Wilcoxon signed-rank test ( d ), paired two-tailed Student’s t -test ( i , j ), Pearson correlation test ( k ) and Kaplan–Meier survival analysis ( l , m )
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HCC methylome analysis identifies a recurrent hypomethylated enhancer targeting a liver-enriched transcriptional factor C/EBPβ . a A circos plot showing genomic regions that are significantly hypomethylated (4528 regions, in red) or hypermethylated (2654 regions, in green) in the tumor group as compared to matched non-tumors based on MBDCap-seq data. b Enrichment of DMRs in annotated functional elements, defined as ( Lm i / Lm )/( L i / L ), where Lm i is the total length of DMRs overlapping with the annotated functional elements of type i and Lm is the total length of all DMRs. L i is the length of the annotated functional elements of type i , and L is the total length of all annotated functional elements combined. c Genome-wide methylation patterns of differentially methylated FANTOM5 enhancers in HCC tumor (orange) and normal liver (blue) tissues based on WGBS. d Enhancer methylation levels of HCC tumor and normal liver tissues. e Relative methylation levels of 894 DMEs between HCC tumor and normal liver tissues. f ChIP-seq tracks of <t>H3K27ac,</t> H3K4me1, H3K4me3, and H3K27me3 at the 1-kb C/EBPβ enhancer locus (chromosome 20: 48,900,221–48,901,229) in HCC tumor tissues. g – i Methylation levels of 13 CpG sites within the C/EBPβ enhancer in 48 pairs of HCC tumor and non-tumor tissues as determined by pyrosequencing. j qRT-PCR analysis of HCC tumor and non-tumor tissues (33 pairs). C/EBPβ mRNA levels were calculated by the 2 −ΔΔCt method using 18s rRNA as internal control, and are presented as fold-changes against the average value of the non-tumor group. k Correlation between C/EBPβ enhancer methylation and expression in 33 pairs of HCC tumor and non-tumor tissues. C/EBPβ mRNA levels are ΔCt values using 18s rRNA as internal control. l , m Kaplan–Meier survival analysis of 48 HCC patients according to their C/EBPβ hypomethylation statuses (relative methylation of tumor vs. non-tumor). Patients with strong hypomethylation (top 24) show poorer ( l ) overall and ( m ) disease-free survival rates than those with weak hypomethylation (bottom 24). Data are presented as mean ± SD. ** P < 0.01; **** P < 0.0001 as calculated by Wilcoxon signed-rank test ( d ), paired two-tailed Student’s t -test ( i , j ), Pearson correlation test ( k ) and Kaplan–Meier survival analysis ( l , m )
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HCC methylome analysis identifies a recurrent hypomethylated enhancer targeting a liver-enriched transcriptional factor C/EBPβ . a A circos plot showing genomic regions that are significantly hypomethylated (4528 regions, in red) or hypermethylated (2654 regions, in green) in the tumor group as compared to matched non-tumors based on MBDCap-seq data. b Enrichment of DMRs in annotated functional elements, defined as ( Lm i / Lm )/( L i / L ), where Lm i is the total length of DMRs overlapping with the annotated functional elements of type i and Lm is the total length of all DMRs. L i is the length of the annotated functional elements of type i , and L is the total length of all annotated functional elements combined. c Genome-wide methylation patterns of differentially methylated FANTOM5 enhancers in HCC tumor (orange) and normal liver (blue) tissues based on WGBS. d Enhancer methylation levels of HCC tumor and normal liver tissues. e Relative methylation levels of 894 DMEs between HCC tumor and normal liver tissues. f ChIP-seq tracks of <t>H3K27ac,</t> H3K4me1, H3K4me3, and H3K27me3 at the 1-kb C/EBPβ enhancer locus (chromosome 20: 48,900,221–48,901,229) in HCC tumor tissues. g – i Methylation levels of 13 CpG sites within the C/EBPβ enhancer in 48 pairs of HCC tumor and non-tumor tissues as determined by pyrosequencing. j qRT-PCR analysis of HCC tumor and non-tumor tissues (33 pairs). C/EBPβ mRNA levels were calculated by the 2 −ΔΔCt method using 18s rRNA as internal control, and are presented as fold-changes against the average value of the non-tumor group. k Correlation between C/EBPβ enhancer methylation and expression in 33 pairs of HCC tumor and non-tumor tissues. C/EBPβ mRNA levels are ΔCt values using 18s rRNA as internal control. l , m Kaplan–Meier survival analysis of 48 HCC patients according to their C/EBPβ hypomethylation statuses (relative methylation of tumor vs. non-tumor). Patients with strong hypomethylation (top 24) show poorer ( l ) overall and ( m ) disease-free survival rates than those with weak hypomethylation (bottom 24). Data are presented as mean ± SD. ** P < 0.01; **** P < 0.0001 as calculated by Wilcoxon signed-rank test ( d ), paired two-tailed Student’s t -test ( i , j ), Pearson correlation test ( k ) and Kaplan–Meier survival analysis ( l , m )
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HCC methylome analysis identifies a recurrent hypomethylated enhancer targeting a liver-enriched transcriptional factor C/EBPβ . a A circos plot showing genomic regions that are significantly hypomethylated (4528 regions, in red) or hypermethylated (2654 regions, in green) in the tumor group as compared to matched non-tumors based on MBDCap-seq data. b Enrichment of DMRs in annotated functional elements, defined as ( Lm i / Lm )/( L i / L ), where Lm i is the total length of DMRs overlapping with the annotated functional elements of type i and Lm is the total length of all DMRs. L i is the length of the annotated functional elements of type i , and L is the total length of all annotated functional elements combined. c Genome-wide methylation patterns of differentially methylated FANTOM5 enhancers in HCC tumor (orange) and normal liver (blue) tissues based on WGBS. d Enhancer methylation levels of HCC tumor and normal liver tissues. e Relative methylation levels of 894 DMEs between HCC tumor and normal liver tissues. f ChIP-seq tracks of <t>H3K27ac,</t> H3K4me1, H3K4me3, and H3K27me3 at the 1-kb C/EBPβ enhancer locus (chromosome 20: 48,900,221–48,901,229) in HCC tumor tissues. g – i Methylation levels of 13 CpG sites within the C/EBPβ enhancer in 48 pairs of HCC tumor and non-tumor tissues as determined by pyrosequencing. j qRT-PCR analysis of HCC tumor and non-tumor tissues (33 pairs). C/EBPβ mRNA levels were calculated by the 2 −ΔΔCt method using 18s rRNA as internal control, and are presented as fold-changes against the average value of the non-tumor group. k Correlation between C/EBPβ enhancer methylation and expression in 33 pairs of HCC tumor and non-tumor tissues. C/EBPβ mRNA levels are ΔCt values using 18s rRNA as internal control. l , m Kaplan–Meier survival analysis of 48 HCC patients according to their C/EBPβ hypomethylation statuses (relative methylation of tumor vs. non-tumor). Patients with strong hypomethylation (top 24) show poorer ( l ) overall and ( m ) disease-free survival rates than those with weak hypomethylation (bottom 24). Data are presented as mean ± SD. ** P < 0.01; **** P < 0.0001 as calculated by Wilcoxon signed-rank test ( d ), paired two-tailed Student’s t -test ( i , j ), Pearson correlation test ( k ) and Kaplan–Meier survival analysis ( l , m )
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HCC methylome analysis identifies a recurrent hypomethylated enhancer targeting a liver-enriched transcriptional factor C/EBPβ . a A circos plot showing genomic regions that are significantly hypomethylated (4528 regions, in red) or hypermethylated (2654 regions, in green) in the tumor group as compared to matched non-tumors based on MBDCap-seq data. b Enrichment of DMRs in annotated functional elements, defined as ( Lm i / Lm )/( L i / L ), where Lm i is the total length of DMRs overlapping with the annotated functional elements of type i and Lm is the total length of all DMRs. L i is the length of the annotated functional elements of type i , and L is the total length of all annotated functional elements combined. c Genome-wide methylation patterns of differentially methylated FANTOM5 enhancers in HCC tumor (orange) and normal liver (blue) tissues based on WGBS. d Enhancer methylation levels of HCC tumor and normal liver tissues. e Relative methylation levels of 894 DMEs between HCC tumor and normal liver tissues. f ChIP-seq tracks of <t>H3K27ac,</t> H3K4me1, H3K4me3, and H3K27me3 at the 1-kb C/EBPβ enhancer locus (chromosome 20: 48,900,221–48,901,229) in HCC tumor tissues. g – i Methylation levels of 13 CpG sites within the C/EBPβ enhancer in 48 pairs of HCC tumor and non-tumor tissues as determined by pyrosequencing. j qRT-PCR analysis of HCC tumor and non-tumor tissues (33 pairs). C/EBPβ mRNA levels were calculated by the 2 −ΔΔCt method using 18s rRNA as internal control, and are presented as fold-changes against the average value of the non-tumor group. k Correlation between C/EBPβ enhancer methylation and expression in 33 pairs of HCC tumor and non-tumor tissues. C/EBPβ mRNA levels are ΔCt values using 18s rRNA as internal control. l , m Kaplan–Meier survival analysis of 48 HCC patients according to their C/EBPβ hypomethylation statuses (relative methylation of tumor vs. non-tumor). Patients with strong hypomethylation (top 24) show poorer ( l ) overall and ( m ) disease-free survival rates than those with weak hypomethylation (bottom 24). Data are presented as mean ± SD. ** P < 0.01; **** P < 0.0001 as calculated by Wilcoxon signed-rank test ( d ), paired two-tailed Student’s t -test ( i , j ), Pearson correlation test ( k ) and Kaplan–Meier survival analysis ( l , m )
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a The fold change of several miRNAs under HFD-EVs compared with Chow-EVs. b The relative miRNAs levels in miRNA knockout adipocytes that received WT, miR-122 −/− , let-7e-5p −/− , miR-31-5p −/− or miR-210-3p −/− EVs derived from primary hepatocytes. c EVs from primary hepatocytes isolated from Chow- or HFD-fed WT mice and transfected with miRNA inhibitors (Chow-EV, HFD-EV, HFD-EV-WT, HFD-EV-miR-210-3p −/− , HFD-EV-let-7e-5p −/− , HFD-EV-miR-31-5p −/− ) were added to 3T3-L1 preadipocytes. Adipocytes that differentiated from 3T3-L1 preadipocytes at day 8 after MDI induction were stained with ORO. (Scale bar, 50 μm). d Expression of genes related to adipogenesis and lipogenesis in the 3T3-L1 preadipocytes from c . e EVs from primary hepatocytes isolated from HFD-fed WT or LKO mice and transfected with various miRNA mimics (HFD-WT EV, HFD-LKO EV, HFD-LKO EV-mimic-NC, HFD-LKO EV-miR-210-3p-mimic, HFD-LKO EV-let-7e-5p-mimic, HFD-LKO EV-miR-31-5p-mimic) were added to 3T3-L1 preadipocytes. Adipocytes that differentiated from 3T3-L1 preadipocytes at day 8 after MDI induction were stained with ORO. (Scale bar, 50 μm). f Expression of genes related to adipogenesis and lipogenesis in the 3T3-L1 preadipocytes from e . g Purified PKH67-labelled EVs secreted by primary hepatocytes transfected with Cy3-labelled let-7e-5p were incubated with 3T3-L1 preadipocytes cultured in a chamber. (Scale bar, 5 μm). h Expression of genes related to fatty-acid oxidation and thermogenesis in 3T3-L1 preadipocytes cultured with or without EVs from primary hepatocytes transfected with let-7e-5p mimic. i Putative miRNA target sites of let-7e-5p within the 3′-UTR of <t>Pgc1α.</t> Relative luciferase activity in 3T3-L1 cells co-transfected with EV-let-7e-5p-mimic and reporter plasmid constructs containing either the WT or mutated 3′-UTR of Pgc1α. j – k Pgc1α mRNA and protein levels in 3T3-L1 cells co-transfected with plasmids expressing Pgc1α or a scrambled control (NC) and with EV-mimic-NC or EV-let-7e-5p-mimic j , or with adenovirus expressing an shRNA targeting Pgc1α (sh-Pgc1α) or a scrambled control shRNA (sh-NC) and simultaneously transfected with EV-WT or EV-let-7e-5p −/− k . Data are presented as the mean ± SEM. n = 3 biologically independent samples per group. Groups were analysed using an unpaired t test, * P < 0.05, ** P < 0.01; ## P < 0.01, sh-NC vs. sh-Pgc1α. Source data are provided as a Source Data file. See also Supplementary Figs. and .
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a The fold change of several miRNAs under HFD-EVs compared with Chow-EVs. b The relative miRNAs levels in miRNA knockout adipocytes that received WT, miR-122 −/− , let-7e-5p −/− , miR-31-5p −/− or miR-210-3p −/− EVs derived from primary hepatocytes. c EVs from primary hepatocytes isolated from Chow- or HFD-fed WT mice and transfected with miRNA inhibitors (Chow-EV, HFD-EV, HFD-EV-WT, HFD-EV-miR-210-3p −/− , HFD-EV-let-7e-5p −/− , HFD-EV-miR-31-5p −/− ) were added to 3T3-L1 preadipocytes. Adipocytes that differentiated from 3T3-L1 preadipocytes at day 8 after MDI induction were stained with ORO. (Scale bar, 50 μm). d Expression of genes related to adipogenesis and lipogenesis in the 3T3-L1 preadipocytes from c . e EVs from primary hepatocytes isolated from HFD-fed WT or LKO mice and transfected with various miRNA mimics (HFD-WT EV, HFD-LKO EV, HFD-LKO EV-mimic-NC, HFD-LKO EV-miR-210-3p-mimic, HFD-LKO EV-let-7e-5p-mimic, HFD-LKO EV-miR-31-5p-mimic) were added to 3T3-L1 preadipocytes. Adipocytes that differentiated from 3T3-L1 preadipocytes at day 8 after MDI induction were stained with ORO. (Scale bar, 50 μm). f Expression of genes related to adipogenesis and lipogenesis in the 3T3-L1 preadipocytes from e . g Purified PKH67-labelled EVs secreted by primary hepatocytes transfected with Cy3-labelled let-7e-5p were incubated with 3T3-L1 preadipocytes cultured in a chamber. (Scale bar, 5 μm). h Expression of genes related to fatty-acid oxidation and thermogenesis in 3T3-L1 preadipocytes cultured with or without EVs from primary hepatocytes transfected with let-7e-5p mimic. i Putative miRNA target sites of let-7e-5p within the 3′-UTR of <t>Pgc1α.</t> Relative luciferase activity in 3T3-L1 cells co-transfected with EV-let-7e-5p-mimic and reporter plasmid constructs containing either the WT or mutated 3′-UTR of Pgc1α. j – k Pgc1α mRNA and protein levels in 3T3-L1 cells co-transfected with plasmids expressing Pgc1α or a scrambled control (NC) and with EV-mimic-NC or EV-let-7e-5p-mimic j , or with adenovirus expressing an shRNA targeting Pgc1α (sh-Pgc1α) or a scrambled control shRNA (sh-NC) and simultaneously transfected with EV-WT or EV-let-7e-5p −/− k . Data are presented as the mean ± SEM. n = 3 biologically independent samples per group. Groups were analysed using an unpaired t test, * P < 0.05, ** P < 0.01; ## P < 0.01, sh-NC vs. sh-Pgc1α. Source data are provided as a Source Data file. See also Supplementary Figs. and .
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HCC methylome analysis identifies a recurrent hypomethylated enhancer targeting a liver-enriched transcriptional factor C/EBPβ . a A circos plot showing genomic regions that are significantly hypomethylated (4528 regions, in red) or hypermethylated (2654 regions, in green) in the tumor group as compared to matched non-tumors based on MBDCap-seq data. b Enrichment of DMRs in annotated functional elements, defined as ( Lm i / Lm )/( L i / L ), where Lm i is the total length of DMRs overlapping with the annotated functional elements of type i and Lm is the total length of all DMRs. L i is the length of the annotated functional elements of type i , and L is the total length of all annotated functional elements combined. c Genome-wide methylation patterns of differentially methylated FANTOM5 enhancers in HCC tumor (orange) and normal liver (blue) tissues based on WGBS. d Enhancer methylation levels of HCC tumor and normal liver tissues. e Relative methylation levels of 894 DMEs between HCC tumor and normal liver tissues. f ChIP-seq tracks of H3K27ac, H3K4me1, H3K4me3, and H3K27me3 at the 1-kb C/EBPβ enhancer locus (chromosome 20: 48,900,221–48,901,229) in HCC tumor tissues. g – i Methylation levels of 13 CpG sites within the C/EBPβ enhancer in 48 pairs of HCC tumor and non-tumor tissues as determined by pyrosequencing. j qRT-PCR analysis of HCC tumor and non-tumor tissues (33 pairs). C/EBPβ mRNA levels were calculated by the 2 −ΔΔCt method using 18s rRNA as internal control, and are presented as fold-changes against the average value of the non-tumor group. k Correlation between C/EBPβ enhancer methylation and expression in 33 pairs of HCC tumor and non-tumor tissues. C/EBPβ mRNA levels are ΔCt values using 18s rRNA as internal control. l , m Kaplan–Meier survival analysis of 48 HCC patients according to their C/EBPβ hypomethylation statuses (relative methylation of tumor vs. non-tumor). Patients with strong hypomethylation (top 24) show poorer ( l ) overall and ( m ) disease-free survival rates than those with weak hypomethylation (bottom 24). Data are presented as mean ± SD. ** P < 0.01; **** P < 0.0001 as calculated by Wilcoxon signed-rank test ( d ), paired two-tailed Student’s t -test ( i , j ), Pearson correlation test ( k ) and Kaplan–Meier survival analysis ( l , m )

Journal: Nature Communications

Article Title: Aberrant enhancer hypomethylation contributes to hepatic carcinogenesis through global transcriptional reprogramming

doi: 10.1038/s41467-018-08245-z

Figure Lengend Snippet: HCC methylome analysis identifies a recurrent hypomethylated enhancer targeting a liver-enriched transcriptional factor C/EBPβ . a A circos plot showing genomic regions that are significantly hypomethylated (4528 regions, in red) or hypermethylated (2654 regions, in green) in the tumor group as compared to matched non-tumors based on MBDCap-seq data. b Enrichment of DMRs in annotated functional elements, defined as ( Lm i / Lm )/( L i / L ), where Lm i is the total length of DMRs overlapping with the annotated functional elements of type i and Lm is the total length of all DMRs. L i is the length of the annotated functional elements of type i , and L is the total length of all annotated functional elements combined. c Genome-wide methylation patterns of differentially methylated FANTOM5 enhancers in HCC tumor (orange) and normal liver (blue) tissues based on WGBS. d Enhancer methylation levels of HCC tumor and normal liver tissues. e Relative methylation levels of 894 DMEs between HCC tumor and normal liver tissues. f ChIP-seq tracks of H3K27ac, H3K4me1, H3K4me3, and H3K27me3 at the 1-kb C/EBPβ enhancer locus (chromosome 20: 48,900,221–48,901,229) in HCC tumor tissues. g – i Methylation levels of 13 CpG sites within the C/EBPβ enhancer in 48 pairs of HCC tumor and non-tumor tissues as determined by pyrosequencing. j qRT-PCR analysis of HCC tumor and non-tumor tissues (33 pairs). C/EBPβ mRNA levels were calculated by the 2 −ΔΔCt method using 18s rRNA as internal control, and are presented as fold-changes against the average value of the non-tumor group. k Correlation between C/EBPβ enhancer methylation and expression in 33 pairs of HCC tumor and non-tumor tissues. C/EBPβ mRNA levels are ΔCt values using 18s rRNA as internal control. l , m Kaplan–Meier survival analysis of 48 HCC patients according to their C/EBPβ hypomethylation statuses (relative methylation of tumor vs. non-tumor). Patients with strong hypomethylation (top 24) show poorer ( l ) overall and ( m ) disease-free survival rates than those with weak hypomethylation (bottom 24). Data are presented as mean ± SD. ** P < 0.01; **** P < 0.0001 as calculated by Wilcoxon signed-rank test ( d ), paired two-tailed Student’s t -test ( i , j ), Pearson correlation test ( k ) and Kaplan–Meier survival analysis ( l , m )

Article Snippet: The primary antibodies for western blotting are CEBPB (sc-150, Santa Cruz Biotechnology, 1:1000), β-actin (8H10D10, Cell Signaling Technology, 1:10,000), Vinculin (sc-25336, Santa Cruz Biotechnology, 1:1000), H3K27ac (39133, Active Motif, 1:1000), and H3 (4499, Cell Signaling Technology, 1:1000).

Techniques: Functional Assay, Genome Wide, Methylation, ChIP-sequencing, Quantitative RT-PCR, Control, Expressing, Two Tailed Test

C/EBPβ auto-regulates its enhancer activity. a qChIP-PCR showed enrichment of C/EBPβ, BRD4, H3K27ac, and RNPII at C/EBPβ enhancer after 5-aza-dC treatment. b Western blot analysis of C/EBPβ level in liver cells upon siRNA-mediated knockdown. β-actin was used as loading control. c , d qRT-PCR analysis of C/EBPβ eRNA upon ( c ) C/EBPβ knockdown and ( d ) treatment with BRD4 inhibitor JQ1. C/EBPβ eRNA/mRNA levels were calculated by the 2 −ΔΔCt method using 18s rRNA as internal control, and are presented as fold-changes against the average values of the respective control groups (siCtrl/DMSO). e Schematic diagrams of C/EBPβ promoter-, C/ EBPβ promoter- C/EBPβ enhancer-, and C/EBPβ promoter- C/EBPβ enhancer mutant-luciferase reporter constructs. The C/EBPβ promoter (−285 to + 808-bp relative to TSS) was cloned to the PGL3 vector, in the absence or presence of the C/EBPβ enhancer with the WT or deleted C/EBP consensus sequence. f The relative luciferase activity in liver cells upon transfection with different reporter constructs. g The relative luciferase activity of the C/EBPβ enhancer construct upon siRNA-mediated knockdown of C/EBPβ . Data are presented as mean ± SD. * P < 0.05; ** P < 0.01; *** P < 0.001 as calculated by unpaired two-tailed Student’s t -test ( a , c , d , f , g )

Journal: Nature Communications

Article Title: Aberrant enhancer hypomethylation contributes to hepatic carcinogenesis through global transcriptional reprogramming

doi: 10.1038/s41467-018-08245-z

Figure Lengend Snippet: C/EBPβ auto-regulates its enhancer activity. a qChIP-PCR showed enrichment of C/EBPβ, BRD4, H3K27ac, and RNPII at C/EBPβ enhancer after 5-aza-dC treatment. b Western blot analysis of C/EBPβ level in liver cells upon siRNA-mediated knockdown. β-actin was used as loading control. c , d qRT-PCR analysis of C/EBPβ eRNA upon ( c ) C/EBPβ knockdown and ( d ) treatment with BRD4 inhibitor JQ1. C/EBPβ eRNA/mRNA levels were calculated by the 2 −ΔΔCt method using 18s rRNA as internal control, and are presented as fold-changes against the average values of the respective control groups (siCtrl/DMSO). e Schematic diagrams of C/EBPβ promoter-, C/ EBPβ promoter- C/EBPβ enhancer-, and C/EBPβ promoter- C/EBPβ enhancer mutant-luciferase reporter constructs. The C/EBPβ promoter (−285 to + 808-bp relative to TSS) was cloned to the PGL3 vector, in the absence or presence of the C/EBPβ enhancer with the WT or deleted C/EBP consensus sequence. f The relative luciferase activity in liver cells upon transfection with different reporter constructs. g The relative luciferase activity of the C/EBPβ enhancer construct upon siRNA-mediated knockdown of C/EBPβ . Data are presented as mean ± SD. * P < 0.05; ** P < 0.01; *** P < 0.001 as calculated by unpaired two-tailed Student’s t -test ( a , c , d , f , g )

Article Snippet: The primary antibodies for western blotting are CEBPB (sc-150, Santa Cruz Biotechnology, 1:1000), β-actin (8H10D10, Cell Signaling Technology, 1:10,000), Vinculin (sc-25336, Santa Cruz Biotechnology, 1:1000), H3K27ac (39133, Active Motif, 1:1000), and H3 (4499, Cell Signaling Technology, 1:1000).

Techniques: Activity Assay, Western Blot, Knockdown, Control, Quantitative RT-PCR, Mutagenesis, Luciferase, Construct, Clone Assay, Plasmid Preparation, Sequencing, Transfection, Two Tailed Test

C/ebpβ enhancer hypomethylation associates with C/EBPβ over-expression in HBx TG mice. a Patterns of C/EBPβ eRNA (CAGE reads, FANTOM5), C/EBPβ and H3K27ac binding in the human HepG2 (GEO: GSM935493) and mouse hepatocyte genomes (GEO: GSM1854433). b Pyrosequencing analysis of C/ebpβ enhancer in liver tissues of 4-month-old WT and HBx TG mice (WT, n = 7; TG, n = 14). c , d qRT-PCR analyses of c C/ebpβ eRNA and d C/ebpβ mRNA levels in liver tissues of 4- and 10-month-old WT and HBx TG mice (4-month-old WT, n = 7; 4-month-old TG, n = 12; 10-month-old WT, n = 7; 10-month-old, n = 12). C/ebpβ eRNA/mRNA levels were calculated by the 2 −ΔΔCt method using 18s rRNA as internal control, and are presented as fold-changes against the average value of the 4-month-old WT group. e Western blot analysis of C/EBPβ protein level in liver tissues of 4- and 10-month-old WT and HBX TG mice (4-month-old WT, n = 7; 4-month-old TG, n = 7; 10-month-old WT, n = 6; 10-month-old, n = 8). Vinculin was used as loading control. The protein band intensities are quantified and shown on the right. Data are presented as mean ± SD. * P < 0.05; ** P < 0.01; *** P < 0.001; **** P < 0.0001 as calculated by unpaired two-tailed Student’s t -test ( b – e )

Journal: Nature Communications

Article Title: Aberrant enhancer hypomethylation contributes to hepatic carcinogenesis through global transcriptional reprogramming

doi: 10.1038/s41467-018-08245-z

Figure Lengend Snippet: C/ebpβ enhancer hypomethylation associates with C/EBPβ over-expression in HBx TG mice. a Patterns of C/EBPβ eRNA (CAGE reads, FANTOM5), C/EBPβ and H3K27ac binding in the human HepG2 (GEO: GSM935493) and mouse hepatocyte genomes (GEO: GSM1854433). b Pyrosequencing analysis of C/ebpβ enhancer in liver tissues of 4-month-old WT and HBx TG mice (WT, n = 7; TG, n = 14). c , d qRT-PCR analyses of c C/ebpβ eRNA and d C/ebpβ mRNA levels in liver tissues of 4- and 10-month-old WT and HBx TG mice (4-month-old WT, n = 7; 4-month-old TG, n = 12; 10-month-old WT, n = 7; 10-month-old, n = 12). C/ebpβ eRNA/mRNA levels were calculated by the 2 −ΔΔCt method using 18s rRNA as internal control, and are presented as fold-changes against the average value of the 4-month-old WT group. e Western blot analysis of C/EBPβ protein level in liver tissues of 4- and 10-month-old WT and HBX TG mice (4-month-old WT, n = 7; 4-month-old TG, n = 7; 10-month-old WT, n = 6; 10-month-old, n = 8). Vinculin was used as loading control. The protein band intensities are quantified and shown on the right. Data are presented as mean ± SD. * P < 0.05; ** P < 0.01; *** P < 0.001; **** P < 0.0001 as calculated by unpaired two-tailed Student’s t -test ( b – e )

Article Snippet: The primary antibodies for western blotting are CEBPB (sc-150, Santa Cruz Biotechnology, 1:1000), β-actin (8H10D10, Cell Signaling Technology, 1:10,000), Vinculin (sc-25336, Santa Cruz Biotechnology, 1:1000), H3K27ac (39133, Active Motif, 1:1000), and H3 (4499, Cell Signaling Technology, 1:1000).

Techniques: Over Expression, Binding Assay, Quantitative RT-PCR, Control, Western Blot, Two Tailed Test

C/EBPβ enhancer deletion impairs genome-wide enhancer activity and chromatin regulation of driver oncogene expressions. a Western blot analysis of C/EBPβ and H3K27ac levels in C/EBPβ enh +/− and C /EBPβ enh −/− compared to WT HepG2 cells. H3 and vinculin were used as loading controls. b Fold change (log 2 ) in C/EBPβ and BRD4 ChIP-seq signals at C/EBPβ binding sites in C /EBPβ enh −/− relative to WT HepG2 cells. c H3K27ac levels in WT and C /EBPβ enh −/− cells in TSS-proximal promoter ( + /− 2-kb) and TSS-distal enhancer ( > 2-kb) enrichment regions (the numbers in red, green, and gray of each plot denote the regions with H3K27ac-loss ( < 1/2 × ), -gain ( > 2 × ), and stable in C /EBPβ enh −/− cells). d , e ChIP-seq profiles of C/EBPβ, BRD4, and H3K27ac in WT and C /EBPβ enh −/− cells around all C/EBPβ/BRD4-codepleted d super-enhancer and e enhancer sites. The average ChIP-seq signals from WT and C /EBPβ enh −/− cells are shown at the top. f Fold change (log 2 ) in gene expression between C /EBPβ enh −/− and WT cells for genes nearest to C/EBPβ/BRD4-codepleted enhancers or super-enhancers with or without H3K27ac loss. Boxes represent 1st, 2nd, and 3rd quartiles, and whiskers show 1.5 times the interquartile range below and above the 1st and 3rd quartiles, respectively. g , h GO analyses in g super-enhancer- and h enhancer-target genes using Metascape. The length of the bars represents the level of enrichment measured as a ratio between the number of genes overlapping an MSigDB gene set over the expected frequency if such overlaps were to occur at random. i , j C/EBPβ, BRD4, and H3K27ac ChIP-seq, RNA-seq tracks and enhancer/super-enhancer calls at the i RALB and j FGFR2 loci in WT and C /EBPβ enh −/− HepG2 cells. Gene expressions determined by qRT-PCR are also shown in right. The mRNA levels were calculated by the 2 −ΔΔCt method using 18s rRNA as internal control, and are presented as fold-changes against the average value of the WT group. Data are presented as mean ± SD. * P < 0.05; *** P < 0.001; **** P < 0.0001 as calculated by unpaired two-tailed Student’s t -test ( f – j )

Journal: Nature Communications

Article Title: Aberrant enhancer hypomethylation contributes to hepatic carcinogenesis through global transcriptional reprogramming

doi: 10.1038/s41467-018-08245-z

Figure Lengend Snippet: C/EBPβ enhancer deletion impairs genome-wide enhancer activity and chromatin regulation of driver oncogene expressions. a Western blot analysis of C/EBPβ and H3K27ac levels in C/EBPβ enh +/− and C /EBPβ enh −/− compared to WT HepG2 cells. H3 and vinculin were used as loading controls. b Fold change (log 2 ) in C/EBPβ and BRD4 ChIP-seq signals at C/EBPβ binding sites in C /EBPβ enh −/− relative to WT HepG2 cells. c H3K27ac levels in WT and C /EBPβ enh −/− cells in TSS-proximal promoter ( + /− 2-kb) and TSS-distal enhancer ( > 2-kb) enrichment regions (the numbers in red, green, and gray of each plot denote the regions with H3K27ac-loss ( < 1/2 × ), -gain ( > 2 × ), and stable in C /EBPβ enh −/− cells). d , e ChIP-seq profiles of C/EBPβ, BRD4, and H3K27ac in WT and C /EBPβ enh −/− cells around all C/EBPβ/BRD4-codepleted d super-enhancer and e enhancer sites. The average ChIP-seq signals from WT and C /EBPβ enh −/− cells are shown at the top. f Fold change (log 2 ) in gene expression between C /EBPβ enh −/− and WT cells for genes nearest to C/EBPβ/BRD4-codepleted enhancers or super-enhancers with or without H3K27ac loss. Boxes represent 1st, 2nd, and 3rd quartiles, and whiskers show 1.5 times the interquartile range below and above the 1st and 3rd quartiles, respectively. g , h GO analyses in g super-enhancer- and h enhancer-target genes using Metascape. The length of the bars represents the level of enrichment measured as a ratio between the number of genes overlapping an MSigDB gene set over the expected frequency if such overlaps were to occur at random. i , j C/EBPβ, BRD4, and H3K27ac ChIP-seq, RNA-seq tracks and enhancer/super-enhancer calls at the i RALB and j FGFR2 loci in WT and C /EBPβ enh −/− HepG2 cells. Gene expressions determined by qRT-PCR are also shown in right. The mRNA levels were calculated by the 2 −ΔΔCt method using 18s rRNA as internal control, and are presented as fold-changes against the average value of the WT group. Data are presented as mean ± SD. * P < 0.05; *** P < 0.001; **** P < 0.0001 as calculated by unpaired two-tailed Student’s t -test ( f – j )

Article Snippet: The primary antibodies for western blotting are CEBPB (sc-150, Santa Cruz Biotechnology, 1:1000), β-actin (8H10D10, Cell Signaling Technology, 1:10,000), Vinculin (sc-25336, Santa Cruz Biotechnology, 1:1000), H3K27ac (39133, Active Motif, 1:1000), and H3 (4499, Cell Signaling Technology, 1:1000).

Techniques: Genome Wide, Activity Assay, Western Blot, ChIP-sequencing, Binding Assay, Gene Expression, RNA Sequencing, Quantitative RT-PCR, Control, Two Tailed Test

a The fold change of several miRNAs under HFD-EVs compared with Chow-EVs. b The relative miRNAs levels in miRNA knockout adipocytes that received WT, miR-122 −/− , let-7e-5p −/− , miR-31-5p −/− or miR-210-3p −/− EVs derived from primary hepatocytes. c EVs from primary hepatocytes isolated from Chow- or HFD-fed WT mice and transfected with miRNA inhibitors (Chow-EV, HFD-EV, HFD-EV-WT, HFD-EV-miR-210-3p −/− , HFD-EV-let-7e-5p −/− , HFD-EV-miR-31-5p −/− ) were added to 3T3-L1 preadipocytes. Adipocytes that differentiated from 3T3-L1 preadipocytes at day 8 after MDI induction were stained with ORO. (Scale bar, 50 μm). d Expression of genes related to adipogenesis and lipogenesis in the 3T3-L1 preadipocytes from c . e EVs from primary hepatocytes isolated from HFD-fed WT or LKO mice and transfected with various miRNA mimics (HFD-WT EV, HFD-LKO EV, HFD-LKO EV-mimic-NC, HFD-LKO EV-miR-210-3p-mimic, HFD-LKO EV-let-7e-5p-mimic, HFD-LKO EV-miR-31-5p-mimic) were added to 3T3-L1 preadipocytes. Adipocytes that differentiated from 3T3-L1 preadipocytes at day 8 after MDI induction were stained with ORO. (Scale bar, 50 μm). f Expression of genes related to adipogenesis and lipogenesis in the 3T3-L1 preadipocytes from e . g Purified PKH67-labelled EVs secreted by primary hepatocytes transfected with Cy3-labelled let-7e-5p were incubated with 3T3-L1 preadipocytes cultured in a chamber. (Scale bar, 5 μm). h Expression of genes related to fatty-acid oxidation and thermogenesis in 3T3-L1 preadipocytes cultured with or without EVs from primary hepatocytes transfected with let-7e-5p mimic. i Putative miRNA target sites of let-7e-5p within the 3′-UTR of Pgc1α. Relative luciferase activity in 3T3-L1 cells co-transfected with EV-let-7e-5p-mimic and reporter plasmid constructs containing either the WT or mutated 3′-UTR of Pgc1α. j – k Pgc1α mRNA and protein levels in 3T3-L1 cells co-transfected with plasmids expressing Pgc1α or a scrambled control (NC) and with EV-mimic-NC or EV-let-7e-5p-mimic j , or with adenovirus expressing an shRNA targeting Pgc1α (sh-Pgc1α) or a scrambled control shRNA (sh-NC) and simultaneously transfected with EV-WT or EV-let-7e-5p −/− k . Data are presented as the mean ± SEM. n = 3 biologically independent samples per group. Groups were analysed using an unpaired t test, * P < 0.05, ** P < 0.01; ## P < 0.01, sh-NC vs. sh-Pgc1α. Source data are provided as a Source Data file. See also Supplementary Figs. and .

Journal: Nature Communications

Article Title: Liver governs adipose remodelling via extracellular vesicles in response to lipid overload

doi: 10.1038/s41467-020-14450-6

Figure Lengend Snippet: a The fold change of several miRNAs under HFD-EVs compared with Chow-EVs. b The relative miRNAs levels in miRNA knockout adipocytes that received WT, miR-122 −/− , let-7e-5p −/− , miR-31-5p −/− or miR-210-3p −/− EVs derived from primary hepatocytes. c EVs from primary hepatocytes isolated from Chow- or HFD-fed WT mice and transfected with miRNA inhibitors (Chow-EV, HFD-EV, HFD-EV-WT, HFD-EV-miR-210-3p −/− , HFD-EV-let-7e-5p −/− , HFD-EV-miR-31-5p −/− ) were added to 3T3-L1 preadipocytes. Adipocytes that differentiated from 3T3-L1 preadipocytes at day 8 after MDI induction were stained with ORO. (Scale bar, 50 μm). d Expression of genes related to adipogenesis and lipogenesis in the 3T3-L1 preadipocytes from c . e EVs from primary hepatocytes isolated from HFD-fed WT or LKO mice and transfected with various miRNA mimics (HFD-WT EV, HFD-LKO EV, HFD-LKO EV-mimic-NC, HFD-LKO EV-miR-210-3p-mimic, HFD-LKO EV-let-7e-5p-mimic, HFD-LKO EV-miR-31-5p-mimic) were added to 3T3-L1 preadipocytes. Adipocytes that differentiated from 3T3-L1 preadipocytes at day 8 after MDI induction were stained with ORO. (Scale bar, 50 μm). f Expression of genes related to adipogenesis and lipogenesis in the 3T3-L1 preadipocytes from e . g Purified PKH67-labelled EVs secreted by primary hepatocytes transfected with Cy3-labelled let-7e-5p were incubated with 3T3-L1 preadipocytes cultured in a chamber. (Scale bar, 5 μm). h Expression of genes related to fatty-acid oxidation and thermogenesis in 3T3-L1 preadipocytes cultured with or without EVs from primary hepatocytes transfected with let-7e-5p mimic. i Putative miRNA target sites of let-7e-5p within the 3′-UTR of Pgc1α. Relative luciferase activity in 3T3-L1 cells co-transfected with EV-let-7e-5p-mimic and reporter plasmid constructs containing either the WT or mutated 3′-UTR of Pgc1α. j – k Pgc1α mRNA and protein levels in 3T3-L1 cells co-transfected with plasmids expressing Pgc1α or a scrambled control (NC) and with EV-mimic-NC or EV-let-7e-5p-mimic j , or with adenovirus expressing an shRNA targeting Pgc1α (sh-Pgc1α) or a scrambled control shRNA (sh-NC) and simultaneously transfected with EV-WT or EV-let-7e-5p −/− k . Data are presented as the mean ± SEM. n = 3 biologically independent samples per group. Groups were analysed using an unpaired t test, * P < 0.05, ** P < 0.01; ## P < 0.01, sh-NC vs. sh-Pgc1α. Source data are provided as a Source Data file. See also Supplementary Figs. and .

Article Snippet: Primary antibodies targeting CD63 (Abcam, 1:1000; ab68418), TSG101 (Abcam, 1:1000; ab125011), Syntenin-1 (Abcam, 1:1000; ab205861), Rab5 (Abcam, 1:1000; ab18211), Rab27A (Abcam, 1:1000; ab55667), CD81(Santa Cruz Biotechnology, 1:1000; sc-166029), Pgc1α (Santa Cruz Biotechnology, 1:1000; sc-518038), GGPPS (Santa Cruz Biotechnology, 1:200; sc-271680), β-actin (Santa Cruz Biotechnology, 1:1000; sc-47778), Calnexin (Cell Signaling Technology, 1:1000; 2433), CALR (Cell Signaling Technology, 1:1000; 12238), H3 (Cell Signaling Technology, 1:1000; 4499) and AGO2 (Proteintech, 1:500; 10686-1-AP) were used.

Techniques: Knock-Out, Derivative Assay, Isolation, Transfection, Staining, Expressing, Purification, Incubation, Cell Culture, Luciferase, Activity Assay, Plasmid Preparation, Construct, Control, shRNA

Induced Ggpps expression in hepatocytes by acute and chronic HFD consumption gives rise to hepatocyte-derived EV secretion through Rab27A geranylgeranylation, which remodels adipose tissue via adipogenesis and lipogenesis. Hepatocyte-derived EVs containing miRNAs enhance lipid deposition in adipocytes by increasing lipogenesis and inhibiting lipid oxidation through the let-7e-5p-Pgc1α axis.

Journal: Nature Communications

Article Title: Liver governs adipose remodelling via extracellular vesicles in response to lipid overload

doi: 10.1038/s41467-020-14450-6

Figure Lengend Snippet: Induced Ggpps expression in hepatocytes by acute and chronic HFD consumption gives rise to hepatocyte-derived EV secretion through Rab27A geranylgeranylation, which remodels adipose tissue via adipogenesis and lipogenesis. Hepatocyte-derived EVs containing miRNAs enhance lipid deposition in adipocytes by increasing lipogenesis and inhibiting lipid oxidation through the let-7e-5p-Pgc1α axis.

Article Snippet: Primary antibodies targeting CD63 (Abcam, 1:1000; ab68418), TSG101 (Abcam, 1:1000; ab125011), Syntenin-1 (Abcam, 1:1000; ab205861), Rab5 (Abcam, 1:1000; ab18211), Rab27A (Abcam, 1:1000; ab55667), CD81(Santa Cruz Biotechnology, 1:1000; sc-166029), Pgc1α (Santa Cruz Biotechnology, 1:1000; sc-518038), GGPPS (Santa Cruz Biotechnology, 1:200; sc-271680), β-actin (Santa Cruz Biotechnology, 1:1000; sc-47778), Calnexin (Cell Signaling Technology, 1:1000; 2433), CALR (Cell Signaling Technology, 1:1000; 12238), H3 (Cell Signaling Technology, 1:1000; 4499) and AGO2 (Proteintech, 1:500; 10686-1-AP) were used.

Techniques: Expressing, Derivative Assay