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基于新型树鼩模型的皮下脂肪转录组 WGCNA 分析。

WGCNA analysis of the subcutaneous fat transcriptome in a novel tree shrew model.

机构信息

Center of Tree Shrew Germplasm Resources, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming 650118, China.

Chongqing Research Center of Biomedicine and Medical Equipment, Chongqing Academy of Science and Technology, Chongqing 401123, China.

出版信息

Exp Biol Med (Maywood). 2020 Jun;245(11):945-955. doi: 10.1177/1535370220915180. Epub 2020 Mar 26.

DOI:10.1177/1535370220915180
PMID:32216464
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7427174/
Abstract

We constructed the transcriptomic network in adipose tissue in lean, moderate obesity and severe obesity groups of tree shrew for the first time. Compared to other laboratory animal models, the tree shrew is a prospective laboratory animal that has a closer genetic association with primates than with rodents. It is widely used in biomedical researches. Enrichment analyses revealed several molecular biological processes were involved in the ribosome, lysosome, and ubiquitin-mediated proteolysis process. These results provided insights into new targets for the prevention and therapy of obesity and a novel research model for obesity.

摘要

我们首次构建了树鼩瘦、中度肥胖和重度肥胖组脂肪组织的转录组网络。与其他实验动物模型相比,树鼩是一种有前景的实验动物,与灵长类动物的遗传关联比啮齿类动物更密切。它被广泛应用于生物医学研究中。富集分析显示,核糖体、溶酶体和泛素介导的蛋白水解过程涉及几个分子生物学过程。这些结果为肥胖的预防和治疗提供了新的靶点,并为肥胖研究提供了一种新的研究模型。

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