A stratified transcriptomics analysis of polygenic fat and lean mouse adipose tissue identifies novel candidate obesity genes

Morton, Nicholas M. (author), Nelson, Yvonne B. (author), Michailidou, Zoi (author), Di Rollo, Emma M. (author), Ramage, Lynne (author), Hadoke, Patrick W.F. (author), Seckl, Jonathan R. (author), Bunger, Lutz (author), Horvat, Simon (author), Kenyon, Christopher J. (author), Dunbar, Donald R. (author)

Obesity and metabolic syndrome results from a complex interaction between genetic and environmetal 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. To enrich for adipose tissue obesity genes a ˝snap-shot˝ pooled-sample transcriptome comparison of key fat depots and non adipose tissue (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, Ppp1rd, Tmepai, Trp53inp2, Ttc7b, Tuba1a, Fgf13, Fmr) that have inferred rolesin 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 dictinct gene expression profile of line, fat depot and diet-responsive inflammatory, angiogenic and metabolic pathaways. 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. A focussed candidate gene enrichment strategy in the unique F and L model has identified novel adipose tissue-enriched genes contributing to obesity.

• Language: English
• Keywords: molekularna genetika, debelost, geni, poligeni mišji model
• Work type: Not categorized
• Typology: 1.01 - Original Scientific Article
• Organization: BF - Biotechnical Faculty
• Year: 2011
• Number of pages: Str. 1-16, e23944
• Numbering: Vol. 6, no. 9
• PID: 20.500.12556/RUL-36543
• UDC: 575
• ISSN on article: 1932-6203
• DOI: 10.1371/journal.pone.0023944
• COBISS.SI-ID: 2943624
• Publication date in RUL: 10.07.2015

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. and DUNBAR, Donald R., 2011, A stratified transcriptomics analysis of polygenic fat and lean mouse adipose tissue identifies novel candidate obesity genes. PloS one [online]. 2011. Vol. 6, no. 9, p. 1–16, e23944. [Accessed 17 May 2025]. DOI 10.1371/journal.pone.0023944. Retrieved from: http://www.plosone.org

Record is a part of a journal

• Title: PloS one
• Publisher: PLOS
• ISSN: 1932-6203
• COBISS.SI-ID: 2005896