Omics · study · 2026
Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP
Listed in NCBI GEO
Cancer 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.
Description
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.
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Overall, UHF-DEP coupling to SdFFF permit to enrich, characterize and quantify stem cell-like subpopulation within heterogeneous population of cancer cells.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE342nnn/GSE342462 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE342462 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1507902 ncbi.nlm.nih.gov/bioproject/PRJNA1507902 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · RNA sequencing 65% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE342462 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |