Liu Xiaoxi, Tamada Kota, Kishimoto Rui, Okubo Hiroko, Ise Satoko, Ohta Hisashi, Ruf Sandra, Nakatani Jin, Kohno Nobuoki, Spitz François, Takumi Toru
RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan.
RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan ; Graduate School of Biomedical Sciences, Hiroshima University, Minami, Hiroshima 734-8553, Japan.
Genom Data. 2015 Jul 10;5:394-6. doi: 10.1016/j.gdata.2015.06.035. eCollection 2015 Sep.
Obesity is not only associated with unhealthy lifestyles, but also linked to genetic predisposition. Previously, we generated an autism mouse model (patDp/+) that carries a 6.3 Mb paternal duplication homologous to the human 15q11-q13 locus. Chromosomal abnormalities in this region are known to cause autism spectrum disorder, Prader-Willi syndrome, and Angelman syndrome in humans. We found that, in addition to autistic-like behaviors, patDp/+ mice display late-onset obesity and hypersensitivity to a high-fat diet. These phenotypes are likely to be the results of genetic perturbations since the energy expenditures and food intakes of patDp/+ mice do not significantly differ from those of wild-type mice. Intriguingly, we found that an enlargement of adipose cells precedes the onset of obesity in patDp/+ mice. To understand the underlying molecular networks responsible for this pre-obese phenotype, we performed transcriptome profiling of white adipose tissue from patDp/+ and wild-type mice using microarray. We identified 230 genes as differentially expressed genes. Sfrp5 - a gene whose expression is positively correlated with adipocyte size, was found to be up-regulated, and Fndc5, a potent inducer of brown adipogenesis was identified to be the top down-regulated gene. Subsequent pathway analysis highlighted a set of 35 molecules involved in energy production, lipid metabolism, and small molecule biochemistry as the top candidate biological network responsible for the pre-obese phenotype of patDp/+. The microarray data were deposited in NCBI Gene Expression Omnibus database with accession number GSE58191. Ultimately, our dataset provides novel insights into the molecular mechanism of obesity and demonstrated that patDp/+ is a valuable mouse model for obesity research.
肥胖不仅与不健康的生活方式有关,还与遗传易感性相关。此前,我们构建了一种自闭症小鼠模型(patDp/+),该模型携带一个与人类15q11-q13位点同源的6.3 Mb父本重复序列。已知该区域的染色体异常会导致人类自闭症谱系障碍、普拉德-威利综合征和天使综合征。我们发现,除了自闭症样行为外,patDp/+小鼠还表现出迟发性肥胖以及对高脂饮食的超敏反应。由于patDp/+小鼠的能量消耗和食物摄入量与野生型小鼠没有显著差异,这些表型可能是基因扰动的结果。有趣的是,我们发现脂肪细胞增大先于patDp/+小鼠肥胖的发生。为了了解导致这种肥胖前期表型的潜在分子网络,我们使用微阵列对patDp/+和野生型小鼠的白色脂肪组织进行了转录组分析。我们鉴定出230个基因作为差异表达基因。Sfrp5(一个其表达与脂肪细胞大小呈正相关的基因)被发现上调,而Fndc5(棕色脂肪生成的有效诱导剂)被鉴定为下调最显著的基因。随后的通路分析突出了一组涉及能量产生、脂质代谢和小分子生物化学的35个分子,作为导致patDp/+肥胖前期表型的首要候选生物网络。微阵列数据已存入NCBI基因表达综合数据库,登录号为GSE58191。最终,我们的数据集为肥胖的分子机制提供了新的见解,并证明patDp/+是一种用于肥胖研究的有价值的小鼠模型。