Flow Cytometry of Mouse and Human Adipocytes for the Analysis of Browning and Cellular Heterogeneity
Author(s) -
Carolina E. Hagberg,
Qian Li,
Maria Kutschke,
Debajit Bhowmick,
Endre Kiss,
Irina G. Shabalina,
Matthew Harms,
Olga Shilkova,
Viviana Kozina,
Jan Nedergaard,
Jérémie Boucher,
Anders Thorell,
Kirsty L. Spalding
Publication year - 2018
Publication title -
cell reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.264
H-Index - 154
eISSN - 2639-1856
pISSN - 2211-1247
DOI - 10.1016/j.celrep.2018.08.006
Subject(s) - flow cytometry , adipocyte , cell sorting , sorting , microbiology and biotechnology , biology , adipose tissue , computer science , biochemistry , programming language
Adipocytes, once considered simple lipid-storing cells, are rapidly emerging as complex cells with many biologically diverse functions. A powerful high-throughput method for analyzing single cells is flow cytometry. Several groups have attempted to analyze and sort freshly isolated adipocytes; however, using an adipocyte-specific reporter mouse, we demonstrate that these studies fail to detect the majority of white adipocytes. We define critical settings required for adipocyte flow cytometry and provide a rigid strategy for analyzing and sorting white and brown adipocyte populations. The applicability of our protocol is shown by sorting mouse adipocytes based on size or UCP1 expression and demonstrating that a subset of human adipocytes lacks the β 2 -adrenergic receptor, particularly in the insulin-resistant state. In conclusion, the present study confers key technological insights for analyzing and sorting mature adipocytes, opening up numerous downstream research applications.
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