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Related Experiment Video

Updated: Oct 3, 2025

Isolation of Adipose Tissue Nuclei for Single-Cell Genomic Applications
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Isolation of Adipose Tissue Nuclei for Single-Cell Genomic Applications

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

Wenfei Sun1

  • 1Department of Bioengineering, Stanford University, Stanford, CA, USA. wenfei-sun@stanford.edu.

Methods in Molecular Biology (Clifton, N.J.)
|February 15, 2022
PubMed
Summary

This protocol details analyzing single-nucleus RNA sequencing data from human adipose tissue. It demonstrates estimating and characterizing cellular populations in this complex tissue.

Keywords:
Adipose tissue heterogeneityData analysisSingle-cell RNA sequencing

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Area of Science:

  • Cellular and Molecular Biology
  • Genomics and Transcriptomics
  • Adipose Tissue Biology

Background:

  • Adipose tissue exhibits significant cellular heterogeneity and plasticity.
  • Single-cell/nucleus RNA sequencing (scRNA-seq/snRNA-seq) offers powerful tools to investigate tissue composition and dynamics.
  • Analyzing snRNA-seq data from archived human adipose tissue presents unique challenges and opportunities.

Purpose of the Study:

  • To provide a protocol for analyzing single-nucleus RNA sequencing data from human adipose tissue.
  • To demonstrate methods for estimating and characterizing cellular populations within adipose tissue.
  • To facilitate the study of adipose tissue heterogeneity using transcriptomic data.

Main Methods:

  • Single-nucleus RNA sequencing (snRNA-seq) data analysis workflow.
  • Computational methods for cell type identification and quantification.
  • Application to frozen archived human adipose tissue samples.

Main Results:

  • Successful estimation of cellular populations from snRNA-seq data.
  • Characterization of distinct cell types within human adipose tissue.
  • Demonstration of a reproducible analysis pipeline for archived tissue.

Conclusions:

  • The outlined protocol enables robust analysis of snRNA-seq data from human adipose tissue.
  • Understanding adipose tissue cellular composition is crucial for metabolic research.
  • This workflow can be applied to various archived tissue samples for cell atlasing.