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Updated: Aug 7, 2025

Isolation of Adipose Tissue Nuclei for Single-Cell Genomic Applications

Isolation of Adipose Tissue Nuclei for Single-Cell Genomic Applications

Published on: June 12, 2020

Adipose tissue at single-cell resolution.

Babukrishna Maniyadath¹, Qianbin Zhang², Rana K Gupta²

¹Center for Functional Genomics and Tissue Plasticity, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark.

Cell Metabolism

|March 8, 2023

Summary

This summary is machine-generated.

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Single-cell transcriptomics reveals the diverse cell types and states within adipose tissue, offering insights into tissue plasticity and cellular communication. This technology maps cellular transitions and crosstalk, advancing our understanding of fat tissue biology.

Area of Science:

Cellular and Molecular Biology
Physiology
Genomics

Background:

Adipose tissue demonstrates significant plasticity, altering size and cellular makeup in response to various conditions.
Single-cell transcriptomics has revolutionized the study of adipose tissue, uncovering cellular diversity and states.
Understanding cellular changes is key to comprehending adipose tissue plasticity.

Purpose of the Study:

To provide a comprehensive overview of the cellular atlas of adipose tissues.
To highlight biological insights gained from single-cell and single-nuclei transcriptomics.
To discuss future opportunities in mapping cellular transitions and crosstalk.

Main Methods:

Single-cell transcriptomics analysis of murine and human adipose tissues.

Keywords:

adipocytes adipogenesis adipose tissue plasticity cellular heterogeneity fibro-adipogenic progenitors inflammation macrophages preadipocytes single-cell sequencing single-nuclei sequencing

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Last Updated: Aug 7, 2025

Isolation of Adipose Tissue Nuclei for Single-Cell Genomic Applications

Isolation of Adipose Tissue Nuclei for Single-Cell Genomic Applications

Published on: June 12, 2020

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Single-nuclei transcriptomics analysis of murine and human adipose tissues.

Bioinformatic analysis to construct cellular atlases and identify cell states.

Main Results:

Identification of a diverse range of cell types and cell states within adipose tissue.
Characterization of transcriptional changes contributing to adipose tissue plasticity.
Insights into cellular heterogeneity and intercellular communication.

Conclusions:

Single-cell technologies provide unprecedented resolution for studying adipose tissue.
Mapping cellular transitions and crosstalk is a promising avenue for future research.
This work advances the understanding of adipose tissue biology and its role in health and disease.