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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |