Nhung Pham

Projects: EmPowerPutida, COVID-19 Disease Map

Institutions: Wageningen University & Research, University Maastricht

https://orcid.org/0000-0003-3091-3962
Finterly Hu

Projects: COVID-19 Disease Map

Institutions: University Maastricht

https://orcid.org/0000-0002-8416-4533
Alexander Pico

Projects: COVID-19 Disease Map

Institutions: Gladstone Institutes

https://orcid.org/0000-0001-5706-2163
Falk Schreiber

Projects: COVID-19 Disease Map

Institutions: Universität Konstanz

Emily Ackerman

Projects: COVID-19 Disease Map

Institutions: University of Pittsburgh

Bertrand De Meulder

Projects: COVID-19 Disease Map

Institutions: European Institute for Systems Biology and Medicine

https://orcid.org/0000-0002-2108-7657
Emanuela Giombini

Projects: COVID-19 Disease Map

Institutions: National Institute for Infectious Diseases "L.Spallanzani"

Francesco Messina programme_administrator

Projects: COVID-19 Disease Map

Institutions: National Institute for Infectious Diseases "L.Spallanzani"

https://orcid.org/0000-0001-8076-7217
Isaure Chauvot de Beauchene

Projects: COVID-19 Disease Map

Institutions: Centre national de la Recherche Scientifique (CNRS)

Laurence Calzone

Projects: COVID-19 Disease Map

Institutions: Institut Curie

Yves Jacob

Projects: COVID-19 Disease Map

Institutions: Institut Pasteur

Networks from human and mouse gene co-expression data.
No description specified

Creators: Eivind Almaas, Marius Eidsaa

Submitter: Eivind Almaas

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A network-based approach reveals the dysregulated transcriptional regulation in non-alcoholic fatty liver disease.

Abstract (Expand)

Non-alcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease worldwide. We performed network analysis to investigate the dysregulated biological processes in the disease … progression and revealed the molecular mechanism underlying NAFLD. Based on network analysis, we identified a highly conserved disease-associated gene module across three different NAFLD cohorts and highlighted the predominant role of key transcriptional regulators associated with lipid and cholesterol metabolism. In addition, we revealed the detailed metabolic differences between heterogeneous NAFLD patients through integrative systems analysis of transcriptomic data and liver-specific genome-scale metabolic model. Furthermore, we identified transcription factors (TFs), including SREBF2, HNF4A, SREBF1, YY1, and KLF13, showing regulation of hepatic expression of genes in the NAFLD-associated modules and validated the TFs using data generated from a mouse NAFLD model. In conclusion, our integrative analysis facilitates the understanding of the regulatory mechanism of these perturbed TFs and their associated biological processes.

Authors: H. Yang, M. Arif, M. Yuan, X. Li, K. Shong, H. Turkez, J. Nielsen, M. Uhlen, J. Boren, C. Zhang, A. Mardinoglu

Date Published: 19th Nov 2021

Publication Type: Journal

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