Dataset Information

Comparative analysis of gene regulation by the transcription factor PPARalpha between mouse and human.

ABSTRACT:

Background

Studies in mice have shown that PPARalpha is an important regulator of hepatic lipid metabolism and the acute phase response. However, little information is available on the role of PPARalpha in human liver. Here we set out to compare the function of PPARalpha in mouse and human hepatocytes via analysis of target gene regulation.

Methodology/principal findings

Primary hepatocytes from 6 human and 6 mouse donors were treated with PPARalpha agonist Wy14643 and gene expression profiling was performed using Affymetrix GeneChips followed by a systems biology analysis. Baseline PPARalpha expression was similar in human and mouse hepatocytes. Depending on species and time of exposure, Wy14643 significantly induced the expression of 362-672 genes. Surprisingly minor overlap was observed between the Wy14643-regulated genes from mouse and human, although more substantial overlap was observed at the pathway level. Xenobiotics metabolism and apolipoprotein synthesis were specifically regulated by PPARalpha in human hepatocytes, whereas glycolysis-gluconeogenesis was regulated specifically in mouse hepatocytes. Most of the genes commonly regulated in mouse and human were involved in lipid metabolism and many represented known PPARalpha targets, including CPT1A, HMGCS2, FABP1, ACSL1, and ADFP. Several genes were identified that were specifically induced by PPARalpha in human (MBL2, ALAS1, CYP1A1, TSKU) or mouse (Fbp2, lgals4, Cd36, Ucp2, Pxmp4). Furthermore, several putative novel PPARalpha targets were identified that were commonly regulated in both species, including CREB3L3, KLF10, KLF11 and MAP3K8.

Conclusions/significance

Our results suggest that PPARalpha activation has a major impact on gene regulation in human hepatocytes. Importantly, the role of PPARalpha as master regulator of hepatic lipid metabolism is generally well-conserved between mouse and human. Overall, however, PPARalpha regulates a mostly divergent set of genes in mouse and human hepatocytes.

SUBMITTER: Rakhshandehroo M

PROVIDER: S-EPMC2729378 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature

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Publications

Comparative analysis of gene regulation by the transcription factor PPARalpha between mouse and human.

Rakhshandehroo Maryam M Hooiveld Guido G Müller Michael M Kersten Sander S

PloS one 20090827 8

<h4>Background</h4>Studies in mice have shown that PPARalpha is an important regulator of hepatic lipid metabolism and the acute phase response. However, little information is available on the role of PPARalpha in human liver. Here we set out to compare the function of PPARalpha in mouse and human hepatocytes via analysis of target gene regulation.<h4>Methodology/principal findings</h4>Primary hepatocytes from 6 human and 6 mouse donors were treated with PPARalpha agonist Wy14643 and gene expres ...[more]

PMID: 19710929

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Project description:The application of complex network modeling to analyze large co-expression data sets has gained traction during the last decade. In particular, the use of the weighted gene co-expression network analysis framework has allowed an unbiased and systems-level investigation of genotype-phenotype relationships in a wide range of systems. Since mouse is an important model organism for biomedical research on human disease, it is of great interest to identify similarities and differences in the functional roles of human and mouse orthologous genes. Here, we develop a novel network comparison approach which we demonstrate by comparing two gene-expression data sets from a large number of human and mouse tissues. The method uses weighted topological overlap alongside the recently developed network-decomposition method of s-core analysis, which is suitable for making gene-centrality rankings for weighted networks. The aim is to identify globally central genes separately in the human and mouse networks. By comparing the ranked gene lists, we identify genes that display conserved or diverged centrality-characteristics across the networks. This framework only assumes a single threshold value that is chosen from a statistical analysis, and it may be applied to arbitrary network structures and edge-weight distributions, also outside the context of biology. When conducting the comparative network analysis, both within and across the two species, we find a clear pattern of enrichment of transcription factors, for the homeobox domain in particular, among the globally central genes. We also perform gene-ontology term enrichment analysis and look at disease-related genes for the separate networks as well as the network comparisons. We find that gene ontology terms related to regulation and development are generally enriched across the networks. In particular, the genes FOXE3, RHO, RUNX2, ALX3 and RARA, which are disease genes in either human or mouse, are on the top-10 list of globally central genes in the human and mouse networks.

Dataset Information

Comparative analysis of gene regulation by the transcription factor PPARalpha between mouse and human.

Background

Methodology/principal findings

Conclusions/significance

Publications

Comparative analysis of gene regulation by the transcription factor PPARalpha between mouse and human.

Similar Datasets

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