Effect of the twelve isoforms of Hepatocyte nuclear factor 4 alpha on HCT116 cell line transcriptome
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE125852 | GEO | 2019/06/28
REPOSITORIES: GEO
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Project description:HNF4α is a nuclear receptor regulating the transcription of genes involved mainly in development, cell differentiation and metabolism. Opposite functions for the two classes of P1 and P2 isoforms of HNF4α have recently been highlighted. These classes include 12 variants of HNF4α that can be expressed by the use of two promoters and by alternative splicing. Until now, the characterization of this transcription factor has ignored this diversity and has remained confined to the study of a fraction of the isoforms. We therefore wanted to clarify the situation by specifically characterizing the transcriptional functions of the 12 isoforms of HNF4α. We have generated for this purpose stable lines expressing each isoform of HNF4α in HCT 116 cells. We analyzed the whole transcriptome associated with each isoform by sequencing RNA, as well as their proteome by a BioID approach coupled to quantitative mass spectrometry. We noted major differences in the transcriptional function of the 12 isoforms. The α4, α5 and α6 isoforms have been characterized for the first time, and show a greatly reduced transcriptional potential. We have shown that these isoforms are unable to recognize the consensus response element of HNF4α. The α1 and α2 isoforms are the most potent regulators of gene expression, while the α3 isoform exhibits significantly reduced activity. Several transcription factors and coregulators have been identified as potential specific partners for certain HFH4α isoforms. The IRF-2BP2 co-repressor interacts specifically with isoforms which include the long form of the F domain of HNF4α. This specific interaction could explain the large number of genes modulated negatively by α1 and α2 compared to α3. The analysis integrating the vast amount of transcriptomic and proteomic data allows the identification of transcriptional regulatory mechanisms specific to certain isoforms, demonstrating the importance of considering all isoforms which can have diverse functions.
2020-04-17 | PXD012146 | Pride
Project description:Although transcriptomic studies have stratified pancreatic ductal adenocarcinoma (PDAC) into clinically relevant subtypes, classical or basal-like, further research is needed to identify the transcriptional regulators of each subtype. Previous studies identified HNF4α as a key regulator of the classical subtype, but the distinct contributions of its isoforms (P1 and P2), which display dichotomous functions in normal development and gastrointestinal malignancies, remain unexplored. Here we show that HNF4α-positive human PDAC tumors exhibit uniform expression of P2-isoforms but variable expression of P1 isoforms. To dissect the roles of each isoform in PDAC, we performed functional, transcriptomic, and epigenetic analysis after exogenous expression in HNF4α-negative models or CRISPRi-mediated knockdown of endogenous isoforms. We demonstrated that P1 isoforms are less compatible with growth and stronger transcriptional regulators than P2. Despite both isoforms sharing a common DNA binding domain, P1 isoforms displayed stronger binding at HNF4α target genes, resulting in increased transcriptional activity. These findings provide a detailed characterization of HNF4α P1 and P2 isoforms and their distinct roles in PDAC biology.
2024-12-25 | GSE284703 | GEO
Project description:Although transcriptomic studies have stratified pancreatic ductal adenocarcinoma (PDAC) into clinically relevant subtypes, classical or basal-like, further research is needed to identify the transcriptional regulators of each subtype. Previous studies identified HNF4α as a key regulator of the classical subtype, but the distinct contributions of its isoforms (P1 and P2), which display dichotomous functions in normal development and gastrointestinal malignancies, remain unexplored. Here we show that HNF4α-positive human PDAC tumors exhibit uniform expression of P2-isoforms but variable expression of P1 isoforms. To dissect the roles of each isoform in PDAC, we performed functional, transcriptomic, and epigenetic analysis after exogenous expression in HNF4α-negative models or CRISPRi-mediated knockdown of endogenous isoforms. We demonstrated that P1 isoforms are less compatible with growth and stronger transcriptional regulators than P2. Despite both isoforms sharing a common DNA binding domain, P1 isoforms displayed stronger binding at HNF4α target genes, resulting in increased transcriptional activity. These findings provide a detailed characterization of HNF4α P1 and P2 isoforms and their distinct roles in PDAC biology.
2024-12-25 | GSE284702 | GEO
Project description:Although transcriptomic studies have stratified pancreatic ductal adenocarcinoma (PDAC) into clinically relevant subtypes, classical or basal-like, further research is needed to identify the transcriptional regulators of each subtype. Previous studies identified HNF4α as a key regulator of the classical subtype, but the distinct contributions of its isoforms (P1 and P2), which display dichotomous functions in normal development and gastrointestinal malignancies, remain unexplored. Here we show that HNF4α-positive human PDAC tumors exhibit uniform expression of P2-isoforms but variable expression of P1 isoforms. To dissect the roles of each isoform in PDAC, we performed functional, transcriptomic, and epigenetic analysis after exogenous expression in HNF4α-negative models or CRISPRi-mediated knockdown of endogenous isoforms. We demonstrated that P1 isoforms are less compatible with growth and stronger transcriptional regulators than P2. Despite both isoforms sharing a common DNA binding domain, P1 isoforms displayed stronger binding at HNF4α target genes, resulting in increased transcriptional activity. These findings provide a detailed characterization of HNF4α P1 and P2 isoforms and their distinct roles in PDAC biology.
2024-12-25 | GSE284700 | GEO
Project description:Hepatocyte nuclear factor-4α (HNF4α, NR2A1) is a nuclear receptor which has a critical role in hepatocyte differentiation and the maintenance of homeostasis in the adult liver. However, a detailed understanding of native HNF4α in the steady state remains to be elucidated. Here we report the native HNF4α isoforms, phosphorylation status and complexes in the steady state, as shown by shotgun proteomics in HepG2 hepatocarcinoma cells. Shotgun proteomic analysis revealed the complexity of native HNF4α, including multiple phosphorylation sites and inter-isoform heterodimerization. The associating complexes identified by label-free semi-quantitative proteomic analysis include the following: the DNA-dependent protein kinase catalytic subunit, histone acetyltransferase complexes, mRNA splicing complex, other nuclear receptor coactivator complexes, the chromatin remodeling complex, and the nucleosome remodeling and histone deacetylation complex. Among the associating proteins, GRB10 interacting GYF protein 2 (GIGYF2, PERQ2) is a new candidate cofactor in metabolic regulation. Moreover, an unexpected heterodimerization of HNF4α and Hepatocyte nuclear factor-4γ was found. A biochemical and genome-wide analysis of transcriptional regulation showed that this heterodimerization activates gene transcription. The genes thus transcribed include the cell death-inducing DEF45-like effector b (CIDEB) gene, which is an important regulator of lipid metabolism in the liver. This suggests that the analysis of the distinctive stoichiometric balance of native HNF4α and its cofactor complexes described here is important for an accurate understanding of transcriptional regulation. Examination of HNF4alpha binding sites with domain-specific antibodies and HNF4gamma binding sites in HepG2 cell.
2010-12-22 | E-GEOD-18989 | biostudies-arrayexpress
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived HCT-116 cell transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis. Methods: HCT-116 cell mRNA profiles of HCT-116-GOLPH3-Vector and HCT-116-GOLPH3-Overepression were generated by deep sequencing, in triplicate, using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Results: RNA sequencing (RNA-seq) was used to investigate gene expression in HCT-116-PMSCV-Vector and HCT-116-PMSCV GOLPH3 cells, while Gene Ontology (GO) was used to annotate the various functional genes. By comparing the differentially expressed genes, we noticed that GOLPH3 was associated with EMT. Gene set enrichment analysis (GSEA) analysis of the RNA-seq results based on the GSE77953 dataset was performed to investigate the biological functions of HCT-116-PMSCV-Vector and HCT-116-PMSCV-GOLPH3 cells. The findings suggested that GOLPH3 expression was positively associated with colon cancer cell autophagy. Signal pathway enrichment was next analyzed based on the differential expression of genes between HCT-116-PMSCV-Vector and HCT-116-PMSCV-GOLPH3 cells, as examined by RNA-seq. Notably, GOLPH3 has correlated with the PI3K/Akt signaling pathway. Conclusions: Our study represents the first detailed analysis of HCT-116 cell transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
2022-02-23 | GSE196875 | GEO
Project description:Hepatocyte nuclear factor-4α (HNF4α, NR2A1) is a nuclear receptor which has a critical role in hepatocyte differentiation and the maintenance of homeostasis in the adult liver. However, a detailed understanding of native HNF4α in the steady state remains to be elucidated. Here we report the native HNF4α isoforms, phosphorylation status and complexes in the steady state, as shown by shotgun proteomics in HepG2 hepatocarcinoma cells. Shotgun proteomic analysis revealed the complexity of native HNF4α, including multiple phosphorylation sites and inter-isoform heterodimerization. The associating complexes identified by label-free semi-quantitative proteomic analysis include the following: the DNA-dependent protein kinase catalytic subunit, histone acetyltransferase complexes, mRNA splicing complex, other nuclear receptor coactivator complexes, the chromatin remodeling complex, and the nucleosome remodeling and histone deacetylation complex. Among the associating proteins, GRB10 interacting GYF protein 2 (GIGYF2, PERQ2) is a new candidate cofactor in metabolic regulation. Moreover, an unexpected heterodimerization of HNF4α and Hepatocyte nuclear factor-4γ was found. A biochemical and genome-wide analysis of transcriptional regulation showed that this heterodimerization activates gene transcription. The genes thus transcribed include the cell death-inducing DEF45-like effector b (CIDEB) gene, which is an important regulator of lipid metabolism in the liver. This suggests that the analysis of the distinctive stoichiometric balance of native HNF4α and its cofactor complexes described here is important for an accurate understanding of transcriptional regulation. siRNA-mediated HNF4alpha and HNF4gamma double knockdown in HepG2 cells were analysed by using the Affymetrix GeneChip system in tripricate.
2010-12-22 | E-GEOD-18973 | biostudies-arrayexpress
Project description:To identify the direct molecular targets of 6S, gene microarrays were used to profile gene expression in HCT-116 cells treated with 6S (20 uM for 24 h) comparing with HCT-116 cells treated with DMSO (control). Two-class comparisons. HCT-116 cells treated with 6S (20 uM for 24 h) vs. HCT-116 cells treated with DMSO control;Biological replicates: 4 replicates for each group.
2014-04-23 | E-GEOD-57006 | biostudies-arrayexpress
Project description:UCRs expression signature of HCT-116 cell lines versus HCT-116 cell line treated with DNA methylation inhibitor 5-aza-2'-deoxycytidine
2010-03-09 | E-MTAB-196 | biostudies-arrayexpress
Project description:Gene expression in HCT-116 cells infected with shCtrl and shRFWD3 was detected with a PrimeView human gene expression array. We performed Affymetrix Human Gene Chip Prime View analysis on shCtrl and shRFWD3 HCT 116 cells. Of the 1305 differentially expressed genes (DEGs) found in shRFWD3 and shCtrl HCT 116 cells, 629 were up-regulated and 676 were down-regulated based on the threshold of absolute fold change ≥ 2 and FDR < 0.05
2021-10-01 | GSE185122 | GEO