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Analysis of Single-Cell/Nucleus Transcriptome Data in Adipose Tissue

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Brown Adipose Tissue

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2448))

Abstract

Adipose tissue is highly heterogeneous and plastic. Recent advances in single-cell/nucleus RNA sequencing technology have helped to study the cellular composition and dynamics of adipose tissue. In this protocol, I outline a typical workflow of analyzing single-cell/nucleus transcriptome data. Specifically, I show an example of how cellular populations are estimated and characterized from a single-nucleus RNAseq data set of frozen archived human adipose tissue.

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Acknowledgements

I am grateful to Christian Wolfrum and Ian Theo Mitchell for editing the manuscript. This work was supported by the Swiss National Science Foundation (P2EZP3 191874).

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Authors and Affiliations

  1. Department of Bioengineering, Stanford University, Stanford, CA, USA

    Wenfei Sun

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  1. Wenfei Sun
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Correspondence to Wenfei Sun .

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Editors and Affiliations

  1. Program in Molecular Medicine, UMass Chan Medical School, Worcester, MA, USA

    David A. Guertin

  2. ETH Zürich, Schwerzenbach, Zürich, Switzerland

    Christian Wolfrum

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Sun, W. (2022). Analysis of Single-Cell/Nucleus Transcriptome Data in Adipose Tissue. In: Guertin, D.A., Wolfrum, C. (eds) Brown Adipose Tissue. Methods in Molecular Biology, vol 2448. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2087-8_19

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  • DOI: https://doi.org/10.1007/978-1-0716-2087-8_19

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2086-1

  • Online ISBN: 978-1-0716-2087-8

  • eBook Packages: Springer Protocols

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