Optimized <scp>RNA</scp> sequencing deconvolution illustrates the impact of obesity and weight loss on cell composition of human adipose tissue
Our optimized high-throughput pipeline facilitates the assessment of composition changes of highly characterized cell types in large numbers of ASAT samples using low-cost bulk RNA-seq. Our data reveal novel changes in cellular heterogeneity and its association with cardiometabolic health in humans with obesity and following weight loss.
Authors
- Lauren Marie Sparks (ORCID: https://orcid.org/0000-0002-8724-6016)
- Marcus Seldin (ORCID: https://orcid.org/0000-0001-8026-4759)
- Katie L. Whytock (ORCID: https://orcid.org/0000-0003-3486-9452)
- Cheehoon Ahn (ORCID: https://orcid.org/0000-0003-4140-125X)
- Adeline Divoux (ORCID: https://orcid.org/0000-0003-1310-2092)
- Mingqi Zhou (ORCID: https://orcid.org/0009-0007-7643-7873)
Institutions
- University of California, Irvine (US)
- AdventHealth Orlando (US)
- Translational Research Institute for Metabolism and Diabetes (US)
Publication Details
- Journal
- Obesity
- Published
- 2025-04-02
- DOI
- https://doi.org/10.1002/oby.24264
- Citations
- 6
- Primary Topic
- Adipose Tissue and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 6.99
Funders
- National Institutes of Health