Transcriptomics

Dataset Information

0

Unveiling Aging Heterogeneities in Human Dermal Fibroblasts via Nanosensor Chemical Cytometry


ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE297406 | GEO | 2025/06/19

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

| PRJNA1263776 | ENA
2011-06-17 | GSE30018 | GEO
2016-04-21 | GSE56805 | GEO
| S-EPMC5258813 | biostudies-literature
2011-08-11 | GSE24641 | GEO
| S-EPMC11659560 | biostudies-literature
2022-07-15 | GSE184422 | GEO
2013-09-12 | E-GEOD-50801 | biostudies-arrayexpress
2020-10-04 | GSE148632 | GEO
2021-09-01 | GSE183121 | GEO