GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE342nnn/GSE342462/primary200OKTranscriptomicsHomo sapiensExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE342462GEOGSEfalseIntegrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEPCancer stem-like cells (CSCs) enrichment and characterization remain an analytical challenge, as conventional marker-based approaches are often time-consuming and can alter cellular properties. Here, we develop a complete label-free protocol for the enrichment and characterization of cellular states associated to stemness properties in colorectal cancer model, based on the coupling adjustment of sedimentation field-flow fractionation (SdFFF) and ultra-high-frequency dielectrophoresis (UHF-DEP). To this end, the operating conditions of SdFFF were adapted to a low conductivity dielectrophoresis buffer while maintaining the hyperlayer elution regime. Fractionated cellular subpopulation exhibits phenotypic differences in proliferative status, clonogenic potential, stem-cell related protein levels and UHF-DEP highlights significantly different high-frequency crossover distributions. Transcriptome sequencing revealed dysregulation of pathways associated with stemness, cell adhesion, membrane organization, calcium signaling and ion-channel activity, that can be linked to dielectric signatures. Overall, UHF-DEP coupling to SdFFF permit to enrich, characterize and quantify stem cell-like subpopulation within heterogeneous population of cancer cells.2026/08/08GSE342462GSM9931059GSM9931058GSM9931055GSM9931054GSM9931057GSM9931056GSM9931051GSM9931061GSM9931050GSM9931053GSM9931052GSM993106028038342462Homo sapiens