Unveiling Aging Heterogeneities in Human Dermal Fibroblasts via Nanosensor Chemical Cytometry
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. Overall design: RNA-seq analysis was performed to compare transcriptomic changes in human dermal fibroblasts (hDFs) at two distinct aging stages: passage 5 (p5) and passage 15 (p15). Four biological replicates were included for each passage group to identify differentially expressed genes associated with cellular aging.