/snRNAseq_eWAT

Scripts for analysis of primary and supplementary snRNA-seq datasets from epididymal white adipose tissue from lean and obese mice.

The UnlicenseUnlicense

Plasticity of epididymal adipose tissue in response to diet-induced obesity at single-nucleus resolution

Anitta Kinga Sárvári1,3, Elvira Laila Van Hauwaert1,3, Lasse Kruse Markussen1, Ellen Gammelmark1, Ann-Britt Marcher1, Morten F. Ebbesen2, Ronni Nielsen1, Jonathan R. Brewer2, Jesper Grud Skat Madsen1,4, Susanne Mandrup1,4

1 Center for Functional Genomics and Tissue Plasticity, Department of Biochemistry and Molecular Biology, University of Southern Denmark.
2 Danish Molecular Biomedical Imaging Center, Department of Biochemistry and Molecular Biology, University of Southern Denmark.
3 Co-first author
4 Co-corresponding authors: s.mandrup@bmb.sdu.dk, jgsm@bmb.sdu.dk

Abstract

Adipose tissues constitute a complex and highly plastic tissues with a remarkable ability to adopt to the storage needs of the body. Here, we have applied single nucleus RNA-seq to map epididymal white adipose tissue plasticity at single cell resolution in response to high fat diet-induced obesity. We show that this approach recovers all major cell types, as well as several minor cell populations. This allows us to recover the entire adipogenic trajectory from preadipocyte commitment to mature adipocytes and to identify potential regulatory mechanisms. We show that obesity leads to pro-found changes in the relative contribution of specific cell types, including changes in the relative contribution of adipocyte states, as well as changes in gene expression in all major cell types. The data provide a powerful resource for future hypothesis-driven investigations of the mechanisms of adipocyte differentiation and adipose tissue plasticity.

Scripts for reproduction of manuscript figures

The scripts in this repository contains all of the code that was run to create the figures in the manuscript.
Please note that some of the algorithms are non-deterministic, which means that results vary slightly from run to run.
Due to the non-deterministic nature, your figures may not look exactly like the figures in the paper.
To increase reproducibility, processed data (where results of many non-deterministic steps are saved) is also linked.
The scripts can be opened in RStudio and the code chunk within backticks can be executed.
In addition, we have made our data available for browsing at the Single Cell Portal

Links

Main dataset

Script Processed dataset
Quality control
Overall tissue Download
Immune cells Download
Endothelial and mesothelial cells Download
FAPs Download
Adipocytes Download
Adipogenesis Download

Supplementary dataset

Script Processed dataset
Quality control
Overall tissue Download
Immune cells Download
Endothelial and mesothelial cells Download
FAPs Download
Adipocytes Download

Relevant sites

Full-length manuscript
Open Science Framework
Single Cell Portal
NCBI GEO
ATLAS website