Literature DB >> 36000239

Comparative transcriptomic analysis of rabbit interscapular brown adipose tissue whitening under physiological conditions.

Lei Li1,2, Qian Wan2,3, Qiaoyun Long4, Tao Nie1,5, Shiting Zhao1,2, Liufeng Mao6, Chuanli Cheng3, Chao Zou3, Kerry Loomes7, Aimin Xu8, Liangxue Lai1,5, Xin Liu3, Ziyuan Duan1,5, Xiaoyan Hui4, Donghai Wu1,5.   

Abstract

Interscapular brown adipose tissue (iBAT) of both rabbits and humans exhibits a similar whitening phenomenon under physiological conditions. However, a detailed characterization of iBAT whitening in them is still lacking. Here, we chose rabbits as a model to gain a better understanding of the molecular signature changes during the whitening process of iBAT by transcriptomic analysis of rabbit iBAT at day 1, day 14, 1 month and 4 months after birth. We applied non-invasive MRI imaging to monitor the whitening process and correlated these changes with analysis of morphological, histological and molecular features. Principal component analysis (PCA) of differentially expressed genes delineated three major phases for the whitening process as Brown, Transition and Whitened BAT phases. RNA-sequencing data revealed that whitening of iBAT was an orchestrated process where multiple types of cells and tissues participated in a variety of physiological processes including neovascularization, formation of new nervous networks and immune regulation. Several key metabolic and signalling pathways contributed to whitening of iBAT, and immune cells and immune regulation appeared to play an overarching role.

Entities:  

Keywords:  MRI; Rabbit; iBAT; immune cells; transcriptomic analysis; whitening

Mesh:

Year:  2022        PMID: 36000239      PMCID: PMC9427046          DOI: 10.1080/21623945.2022.2111053

Source DB:  PubMed          Journal:  Adipocyte        ISSN: 2162-3945            Impact factor:   3.553


  77 in total

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5.  The transcriptional profile of adipose-derived stromal cells (ASC) mirrors the whitening of adipose tissue with age.

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Review 9.  Obesity: global epidemiology and pathogenesis.

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Journal:  J Cell Sci       Date:  2021-06-07       Impact factor: 5.285

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