Cargando…

A Stratified Transcriptomics Analysis of Polygenic Fat and Lean Mouse Adipose Tissues Identifies Novel Candidate Obesity Genes

BACKGROUND: Obesity and metabolic syndrome results from a complex interaction between genetic and environmental factors. In addition to brain-regulated processes, recent genome wide association studies have indicated that genes highly expressed in adipose tissue affect the distribution and function...

Descripción completa

Detalles Bibliográficos
Autores principales: Morton, Nicholas M., Nelson, Yvonne B., Michailidou, Zoi, Di Rollo, Emma M., Ramage, Lynne, Hadoke, Patrick W. F., Seckl, Jonathan R., Bunger, Lutz, Horvat, Simon, Kenyon, Christopher J., Dunbar, Donald R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3168488/
https://www.ncbi.nlm.nih.gov/pubmed/21915269
http://dx.doi.org/10.1371/journal.pone.0023944
_version_ 1782211403864604672
author Morton, Nicholas M.
Nelson, Yvonne B.
Michailidou, Zoi
Di Rollo, Emma M.
Ramage, Lynne
Hadoke, Patrick W. F.
Seckl, Jonathan R.
Bunger, Lutz
Horvat, Simon
Kenyon, Christopher J.
Dunbar, Donald R.
author_facet Morton, Nicholas M.
Nelson, Yvonne B.
Michailidou, Zoi
Di Rollo, Emma M.
Ramage, Lynne
Hadoke, Patrick W. F.
Seckl, Jonathan R.
Bunger, Lutz
Horvat, Simon
Kenyon, Christopher J.
Dunbar, Donald R.
author_sort Morton, Nicholas M.
collection PubMed
description BACKGROUND: Obesity and metabolic syndrome results from a complex interaction between genetic and environmental factors. In addition to brain-regulated processes, recent genome wide association studies have indicated that genes highly expressed in adipose tissue affect the distribution and function of fat and thus contribute to obesity. Using a stratified transcriptome gene enrichment approach we attempted to identify adipose tissue-specific obesity genes in the unique polygenic Fat (F) mouse strain generated by selective breeding over 60 generations for divergent adiposity from a comparator Lean (L) strain. RESULTS: To enrich for adipose tissue obesity genes a ‘snap-shot’ pooled-sample transcriptome comparison of key fat depots and non adipose tissues (muscle, liver, kidney) was performed. Known obesity quantitative trait loci (QTL) information for the model allowed us to further filter genes for increased likelihood of being causal or secondary for obesity. This successfully identified several genes previously linked to obesity (C1qr1, and Np3r) as positional QTL candidate genes elevated specifically in F line adipose tissue. A number of novel obesity candidate genes were also identified (Thbs1, Ppp1r3d, Tmepai, Trp53inp2, Ttc7b, Tuba1a, Fgf13, Fmr) that have inferred roles in fat cell function. Quantitative microarray analysis was then applied to the most phenotypically divergent adipose depot after exaggerating F and L strain differences with chronic high fat feeding which revealed a distinct gene expression profile of line, fat depot and diet-responsive inflammatory, angiogenic and metabolic pathways. Selected candidate genes Npr3 and Thbs1, as well as Gys2, a non-QTL gene that otherwise passed our enrichment criteria were characterised, revealing novel functional effects consistent with a contribution to obesity. CONCLUSIONS: A focussed candidate gene enrichment strategy in the unique F and L model has identified novel adipose tissue-enriched genes contributing to obesity.
format Online
Article
Text
id pubmed-3168488
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-31684882011-09-13 A Stratified Transcriptomics Analysis of Polygenic Fat and Lean Mouse Adipose Tissues Identifies Novel Candidate Obesity Genes Morton, Nicholas M. Nelson, Yvonne B. Michailidou, Zoi Di Rollo, Emma M. Ramage, Lynne Hadoke, Patrick W. F. Seckl, Jonathan R. Bunger, Lutz Horvat, Simon Kenyon, Christopher J. Dunbar, Donald R. PLoS One Research Article BACKGROUND: Obesity and metabolic syndrome results from a complex interaction between genetic and environmental factors. In addition to brain-regulated processes, recent genome wide association studies have indicated that genes highly expressed in adipose tissue affect the distribution and function of fat and thus contribute to obesity. Using a stratified transcriptome gene enrichment approach we attempted to identify adipose tissue-specific obesity genes in the unique polygenic Fat (F) mouse strain generated by selective breeding over 60 generations for divergent adiposity from a comparator Lean (L) strain. RESULTS: To enrich for adipose tissue obesity genes a ‘snap-shot’ pooled-sample transcriptome comparison of key fat depots and non adipose tissues (muscle, liver, kidney) was performed. Known obesity quantitative trait loci (QTL) information for the model allowed us to further filter genes for increased likelihood of being causal or secondary for obesity. This successfully identified several genes previously linked to obesity (C1qr1, and Np3r) as positional QTL candidate genes elevated specifically in F line adipose tissue. A number of novel obesity candidate genes were also identified (Thbs1, Ppp1r3d, Tmepai, Trp53inp2, Ttc7b, Tuba1a, Fgf13, Fmr) that have inferred roles in fat cell function. Quantitative microarray analysis was then applied to the most phenotypically divergent adipose depot after exaggerating F and L strain differences with chronic high fat feeding which revealed a distinct gene expression profile of line, fat depot and diet-responsive inflammatory, angiogenic and metabolic pathways. Selected candidate genes Npr3 and Thbs1, as well as Gys2, a non-QTL gene that otherwise passed our enrichment criteria were characterised, revealing novel functional effects consistent with a contribution to obesity. CONCLUSIONS: A focussed candidate gene enrichment strategy in the unique F and L model has identified novel adipose tissue-enriched genes contributing to obesity. Public Library of Science 2011-09-07 /pmc/articles/PMC3168488/ /pubmed/21915269 http://dx.doi.org/10.1371/journal.pone.0023944 Text en Morton et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Morton, Nicholas M.
Nelson, Yvonne B.
Michailidou, Zoi
Di Rollo, Emma M.
Ramage, Lynne
Hadoke, Patrick W. F.
Seckl, Jonathan R.
Bunger, Lutz
Horvat, Simon
Kenyon, Christopher J.
Dunbar, Donald R.
A Stratified Transcriptomics Analysis of Polygenic Fat and Lean Mouse Adipose Tissues Identifies Novel Candidate Obesity Genes
title A Stratified Transcriptomics Analysis of Polygenic Fat and Lean Mouse Adipose Tissues Identifies Novel Candidate Obesity Genes
title_full A Stratified Transcriptomics Analysis of Polygenic Fat and Lean Mouse Adipose Tissues Identifies Novel Candidate Obesity Genes
title_fullStr A Stratified Transcriptomics Analysis of Polygenic Fat and Lean Mouse Adipose Tissues Identifies Novel Candidate Obesity Genes
title_full_unstemmed A Stratified Transcriptomics Analysis of Polygenic Fat and Lean Mouse Adipose Tissues Identifies Novel Candidate Obesity Genes
title_short A Stratified Transcriptomics Analysis of Polygenic Fat and Lean Mouse Adipose Tissues Identifies Novel Candidate Obesity Genes
title_sort stratified transcriptomics analysis of polygenic fat and lean mouse adipose tissues identifies novel candidate obesity genes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3168488/
https://www.ncbi.nlm.nih.gov/pubmed/21915269
http://dx.doi.org/10.1371/journal.pone.0023944
work_keys_str_mv AT mortonnicholasm astratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT nelsonyvonneb astratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT michailidouzoi astratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT dirolloemmam astratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT ramagelynne astratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT hadokepatrickwf astratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT seckljonathanr astratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT bungerlutz astratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT horvatsimon astratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT kenyonchristopherj astratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT dunbardonaldr astratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT mortonnicholasm stratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT nelsonyvonneb stratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT michailidouzoi stratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT dirolloemmam stratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT ramagelynne stratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT hadokepatrickwf stratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT seckljonathanr stratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT bungerlutz stratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT horvatsimon stratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT kenyonchristopherj stratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes
AT dunbardonaldr stratifiedtranscriptomicsanalysisofpolygenicfatandleanmouseadiposetissuesidentifiesnovelcandidateobesitygenes