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Adipose-derived Stem cll and Stronal Vascular Fraction response to inflammation sc RNA seq

GSE270461 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2025/05/13 Platform GPL20301
Summary
The therapeutic potential of mesenchymal stem/stromal cells (MSCs) relies on their ability to modulate immune responses in disease and wound contexts. In this study, we present an analytical pipeline using established algorithms to better characterize the response of adipose-derived stem/stromal cells (ASCs) to in vitro inflammatory stimuli, which in turn has therapeutic benefit in the context of MSC cell therapies. By integrating single-cell RNA sequencing and bulk proteomics data of ASCs derived from the stromal vascular fraction of adipose tissue, we present a detailed characterization of the ASC response to inflammation and additionally introduce a method of relating phenotypes observed in exogenously stimulated culture conditions to subpopulations of in vivo cells. Our pipeline involves multiple benchmarks to establish concordance between single-cell and bulk assays to more comprehensively characterize the ASC response to inflammation. This study is the introduction of a practical and efficient approach to identify functionally homogeneous and therapeutically relevant cell populations from heterogeneous mixtures using computational strategies and provides deeper insight into the ASC response to inflammation.
Published in
Identifying Immunomodulatory Subpopulations of Adipose Stromal Vascular Fraction and Stem/Stromal Cells Through Single-Cell Transcriptomics and Bulk Proteomics
Parsons AM, Ahsan N, Darling EM · Stem cell reviews and reports 2025 · PMID 40366552 · doi:10.1007/s12015-025-10889-6
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Direct links to NCBI, no account and no request form: the whole study as GSE270461_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1126674 and SRA study SRP515326. Searching any of these in the dataset finder brings you back here.

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