Single cell full-length transcriptome of human subcutaneous adipose tissue reveals unique and heterogeneous cell populations

Katie L. Whytock, Yifei Sun, Adeline Divoux, Gong Xin Yu, Steven R. Smith, Martin J. Walsh, Lauren M. Sparks

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

White adipose tissue (WAT) is a complex mixture of adipocytes and non-adipogenic cells. Characterizing the cellular composition of WAT is critical for identifying where potential alterations occur that impact metabolism. Most single-cell (sc) RNA-Seq studies focused on the stromal vascular fraction (SVF) which does not contain adipocytes and have used technology that has a 3′ or 5′ bias. Using full-length sc/single-nuclei (sn) RNA-Seq technology, we interrogated the transcriptional composition of WAT using: snRNA-Seq of whole tissue, snRNA-Seq of isolated adipocytes, and scRNA-Seq of SVF. Whole WAT snRNA-Seq provided coverage of major cell types, identified three distinct adipocyte clusters, and was capable of tracking adipocyte differentiation with pseudotime. Compared to WAT, adipocyte snRNA-Seq was unable to match adipocyte heterogeneity. SVF scRNA-Seq provided greater resolution of non-adipogenic cells. These findings provide critical evidence for the utility of sc full-length transcriptomics in WAT and SVF in humans.

Original languageEnglish
Article number104772
JournaliScience
Volume25
Issue number8
DOIs
StatePublished - 19 Aug 2022

Keywords

  • Cell biology
  • Omics
  • Transcriptomics

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