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Unveiling Aging Heterogeneities in Human Dermal Fibroblasts via Nanosensor Chemical Cytometry

GSE297406 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2025/06/19 Platform GPL21697
Summary
To investigate aging heterogeneity in tissue-regeneration cells, we conducted RNA-seq analysis of human dermal fibroblasts (hDFs) at two distinct aging stages: passage 5 (p5) and passage 15 (p15). hDFs were cultured under standard conditions, and total RNA was extracted for sequencing. Transcriptomic profiling was performed to identify differentially expressed genes associated with cellular aging. This RNA-seq dataset was used to validate the phenotypic changes observed via a label-free, nondestructive single-cell analytics platform called nanosensor chemical cytometry (NCC). The integrated analysis revealed that transcriptomic aging signatures correspond with aging phenotypes such as changes in cell size, shape, refractive index, and H2O2 efflux. This dataset provides insight into the molecular mechanisms underlying cell aging and supports the development of predictive models for therapeutic performance in regenerative medicine.
Published in
Unveiling aging heterogeneities in human dermal fibroblasts via nanosensor chemical cytometry
Song Y, Seo I, Tian C et al. · Nature communications 2025 · PMID 40628739 · doi:10.1038/s41467-025-61590-8
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Direct links to NCBI, no account and no request form: the whole study as GSE297406_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1263776 and SRA study SRP585876. Searching any of these in the dataset finder brings you back here.

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