Gene expression and histological analysis of activated brown adipocytes in adipose tissue

Yun Hee Lee

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

With the rediscovery of brown adipose tissue in adult humans, identification and characterization of brown adipocytes have been topics of great interest in the field of adipose tissue research. In particular, identification of the molecular mechanisms that activate thermogenic adipocytes suggests promising targets for increasing energy expenditure and ultimately combatting obesity and obesity-related metabolic disease. Thus, the methodology for identifying brown adipocytes in vivo is important for the precise determination of the metabolic activity of brown adipose tissue and de novo brown adipogenesis in white adipose tissue. In addition, in vivo analysis of brown adipocytes in combination with lineage tracing is essential to investigate the cellular origins of brown adipocytes. This chapter first provides a brief overview of lineage tracing studies performed in the search for the cellular origins of brown adipocytes. The chapter then describes the immunohistochemistry methodology for identifying brown adipocytes in adipose tissue, including analyses in histologic tissue sections and whole mount tissue. Lastly, it discusses flow cytometric analysis of dissociated cells from adipose tissue, and isolation of live adipocytes for subsequent gene expression profiling using fluorescence-activated cell sorting.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages89-98
Number of pages10
DOIs
Publication statusPublished - 2017

Publication series

NameMethods in Molecular Biology
Volume1566
ISSN (Print)1064-3745

Bibliographical note

Funding Information:
We thank Drs. Granneman, Sanders, Kim, and Kwon for constructive comments on the manuscript. This work is supported by National Research Foundation of Korea grant NRF-2014R1A6A3A04056472 (Y.H.L.).

Publisher Copyright:
© Springer Science+Business Media LLC 2017.

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Genetics

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