Comprehensive proteomics and functional annotation of mouse brown adipose tissue

Area of Science:

• Biochemistry
• Molecular Biology
• Physiology

Background:

• Brown adipose tissue (BAT) plays a crucial role in mammalian thermoregulation.
• Understanding the BAT proteome is essential for elucidating its metabolic functions.
• Previous studies lacked a comprehensive proteomic dataset for mouse BAT.

Purpose of the Study:

• To construct a comprehensive proteome dataset of mouse brown adipose tissue (BAT).
• To functionally annotate identified proteins and categorize them by abundance.
• To identify potential biomarkers and understand molecular mechanisms of BAT.

Main Methods:

• Two-dimensional liquid chromatography (2DLC) coupled with high-resolution mass spectrometry.
• iBAQ (intensity-based absolute quantification) method for protein quantification.
• SignalP4 software for signal peptide prediction.

Main Results:

• Identified 4949 nonredundant proteins and quantified 4495 in mouse BAT.
• Categorized proteins into high- (thermoregulation), middle- (protein synthesis), and low-abundance (apoptosis) groups.
• Predicted 497 proteins with signal peptides, with 75 previously confirmed.

Conclusions:

• This study provides the first comprehensive and functionally annotated proteome of mouse BAT.
• The identified protein profiles offer insights into BAT's role in energy metabolism and thermogenesis.
• The dataset serves as a valuable resource for future research on BAT function and disease biomarkers.