Comprehensive proteomics and functional annotation of mouse brown adipose tissue

PLoS One. 2020 May 6;15(5):e0232084. doi: 10.1371/journal.pone.0232084. eCollection 2020.

Abstract

Knowledge about the mouse brown adipose tissue (BAT) proteome can provide a deeper understanding of the function of mammalian BAT. Herein, a comprehensive analysis of interscapular BAT from C57BL/6J female mice was conducted by 2DLC and high-resolution mass spectrometry to construct a comprehensive proteome dataset of mouse BAT proteins. A total of 4949 nonredundant proteins were identified, and 4495 were quantified using the iBAQ method. According to the iBAQ values, the BAT proteome was divided into high-, middle- and low-abundance proteins. The functions of the high-abundance proteins were mainly related to glucose and fatty acid oxidation to produce heat for thermoregulation, while the functions of the middle- and low-abundance proteins were mainly related to protein synthesis and apoptosis, respectively. Additionally, 497 proteins were predicted to have signal peptides using SignalP4 software, and 75 were confirmed in previous studies. This study, for the first time, comprehensively profiled and functionally annotated the BAT proteome. This study will be helpful for future studies focused on biomarker identification and BAT molecular mechanisms.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adipose Tissue, Brown / chemistry
  • Adipose Tissue, Brown / metabolism*
  • Animals
  • Chromatography, High Pressure Liquid
  • Chromatography, Liquid
  • Databases, Protein
  • Female
  • Mice
  • Mice, Inbred C57BL
  • Molecular Sequence Annotation* / methods
  • Proteome / analysis
  • Proteome / metabolism*
  • Proteomics* / methods
  • Tandem Mass Spectrometry

Substances

  • Proteome

Grants and funding

This work was supported by National Basic Research Program of China (No. 2013CB530805, 2014CBA02005), National Key Research and Development Program of China (No. 2016 YFC 1306300,2018YFC0910202), Key Basic Research Program of the Ministry of Science and Technology of China (No. 2013FY114100), National Natural Science Foundation of China (No. 30970650, 31200614, 31400669, 81371515, 81170665, 81560121), Beijing Natural Science Foundation (No. 7173264, 7172076), Beijing cooperative construction project (No.110651103), Beijing Science Program for the Top Young (No.2015000021223TD04), Beijing Normal University (No.11100704), Peking Union Medical College Hospital (No.2016-2.27), CAMS Innovation Fund for Medical Sciences (2017-I2M-1-009) and Biologic Medicine Information Center of China, National Scientific Data Sharing Platform for Population and Health.