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Defective HNF4alpha-dependent gene expression as a driver of hepatocellular failure in alcoholic hepatitis [Suppl Data]

Title: Defective HNF4alpha-dependent gene expression as a driver of hepatocellular failure in alcoholic hepatitis [Suppl Data]
Authors: Argemi, J
Bataller, R
Shah, VH
Cao, S
Thursz, M
Atkinson, SR
Morgan, MY
Mathurin, P
Dubuquoy, L
Louvet, A
Item Type: Dataset
Abstract: Alcoholic hepatitis (AH) is a life-threatening condition characterized by profound hepatocellular dysfunction for which targeted treatments are urgently needed. Identification of molecular drivers is hampered by the lack of suitable animal models. By performing RNA sequencing in livers from patients with different phenotypes of alcohol-related liver disease (ALD), we show that the development of AH is characterized by the defective activity of liver-enriched transcription factors (LETFs). TGFb1is a key upstream transcriptome regulator in AH and induces the use of HNF4aP2 promoter in hepatocytes, which results in defective metabolic and synthetic functions. Gene polymorphisms in LETFs including HNF4aare not associated with the development of AH. In contrast, epigenetic studies show that AH livers have profound changes in DNA methylation state and chromatin remodeling, affecting HNF4a-dependent gene expression. We conclude that targeting TGFb1and epigenetic drivers that modulate HNF4a-dependent gene expression could be beneficial to improve hepatocellular function in patients with AH.
Alcoholic hepatitis (AH) is a life-threatening condition characterized by profound hepatocellular dysfunction for which targeted treatments are urgently needed. Identification of molecular drivers is hampered by the lack of suitable animal models. By performing RNA sequencing in livers from patients with different phenotypes of alcohol-related liver disease (ALD), we show that the development of AH is characterized by the defective activity of liver-enriched transcription factors (LETFs). TGFb1is a key upstream transcriptome regulator in AH and induces the use of HNF4aP2 promoter in hepatocytes, which results in defective metabolic and synthetic functions. Gene polymorphisms in LETFs including HNF4aare not associated with the development of AH. In contrast, epigenetic studies show that AH livers have profound changes in DNA methylation state and chromatin remodeling, affecting HNF4a-dependent gene expression. We conclude that targeting TGFb1and epigenetic drivers that modulate HNF4a-dependent gene expression could be beneficial to improve hepatocellular function in patients with AH.
Issue Date: 28-May-2019
URI: http://hdl.handle.net/10044/1/70088
DOI: https://doi.org/10.5281/zenodo.3233952
Copyright Statement: http://creativecommons.org/licenses/by/4.0/legalcode
Keywords: Alcoholic Hepatitis
Alcohol-related Liver Disease
HNF4A
TGFB1
GWAS
ChIP-seq
Notes: Data for: Argemi J., Latasa M.U., Atkinson S.R., Blokhin I.O., Massey V., Gue J.P., Cabezas J., Lozano J.J., Van Booven D., Bell A., Cao S., Vernetti L.A., Arab J.P., Ventura-Cots M., Edmunds L.R., Fondevilla C., Stärkel P., Dubuquoy L., Louvet A., Odena G., Gomez J.L., Aragon T., Altamirano J., Caballeria J., Jurzak14, Taylor, D. L., Berasain C., Wahlestedt C., Monga S.P., Morgan MY, Sancho-Bru P., Mathurin P., Furuya S., Lackner C., Rusyn I., Shah V.H.,Thursz M.R., Mann J., Avila M.A., Bataller R. "Defective HNF4alpha-dependent gene expression as a driver of hepatocellular failure in alcoholic hepatitis". Nat Commun. 2019, Accepted
Access Data Notes: Data used in figures 8 and 10 of the mentioned manuscript is included in these datasets. These datasets include 7 GWAS summary files, described in GWAS Summary_metadata.txt file and 1 ChIP-seq peak calling result file, which variables are described in NatCommun_PeakCalling_results_metadata.txt file. Raw data of GWAS is available upon request to Dr. Mark Thursz (Imperial College, London UK, m.thursz@imperial.ac.uk). Raw data of ChIP-seq is available upon request to Dr. Vijay Shah (Mayo Clinic, Rochester, MN, USA, vshah@mayo.edu).
Appears in Collections:Faculty of Medicine - Research Data