bioRxivCancer BiologyPreprint
Towards a standardised method for the characterisation and isolation of colorectal cancer stem cells by SdFFF and UHF-DEP: highlighted by transcriptomic analysis
Charlotte JemferiD, Nina BlascoiD, Stéphanie DurandiD, Elisa Blin, Robin MasiD, Isabelle Basly, Marie BoutaudiD, Héloïse DaveratiD, Arnaud PothieriD, Claire Dalmay AiD, Muriel MathonnetiD, Gaëlle BégaudiD, Serge BattuiD
Abstract
Cancer stem cells (CSCs) play a crucial role in tumor heterogeneity and the progression of colorectal cancer (CRC). However, identifying and isolating CSCs remains challenging, as conventional methods, such as fluorescent or magnetic labeling, are time-consuming and require substantial technical and biological resources, limiting their clinical applicability. In this study, we evaluated the potential application of a previously established approach with glioma cells, combining sedimentation field-flow fractionation (SdFFF) with a label-free Ultra-High Frequency dielectrophoresis (UHF-DEP) biosensor, for isolating and identifying CRC CSC. The integration of the UHF-DEP biosensor with SdFFF enables the identification of CSCs without specific labeling, simplifying their analysis. To optimize this coupling, we standardized the mobile phase between the two technologies. Producing two CSC sub-populations eluted in Fraction 1 and Fraction 3. For the first time, transcriptomic analysis was employed to deepen our understanding of the genetic composition of the cells, complementing functional and phenotypic characterizations. From these characteristics, it emerged that F1 cells corresponded to precursors, while F3 cells could be considered CSC. The UHF-DEP biosensor demonstrated its ability to detect these differences, linking F3 to cells cultivated in defined medium (DM), used as a reference standard. Finally, transcriptomic analysis (RNA-seq) has deepened our understanding of the genetic profiles of these subpopulations, enriching the interpretation of their characteristics as CSCs. This in-depth approach will also contribute to a better understanding of the results obtained by the UHF-DEP biosensor.
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 1
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Colorectal Cancer Stem Cell Subtypes Orchestrate Distinct Tumor Microenvironments
Linzi Hosohama, Delia F. Tifrea, … Marian L. Waterman·bioRxiv·Apr 25, 2024
- Redefining colorectal cancer classification and clinical stratification through a single-cell atlas
A. M. Khaliq, z. kurt, … A. Masood·bioRxiv·Feb 2, 2021
- Next-Gen Profiling of Tumor-resident Stem Cells using Machine learning
D. Chowdhury, B. Neekhra, … S. Haldar·bioRxiv·Nov 24, 2023
- High-confidence calling of normal epithelial cells allows identification of a novel stem-like cell state in the colorectal cancer microenvironment
Tzu‐Ting Wei, Eric Blanc, … Benedikt Obermayer·International Journal of CancerPeer-reviewed·Jul 19, 2024
- Charting the Heterogeneity of Colorectal Cancer Consensus Molecular Subtypes using Spatial Transcriptomics
A. Valdeolivas, B. Amberg, … K. Hahn·bioRxiv·Jan 23, 2023
- Characterization of immune cell populations in the tumor microenvironment of colorectal cancer using high definition spatial profiling
Michelli F. Oliveira, Juan P. Romero, … Sarah E. B. Taylor·Nature GeneticsPeer-reviewed·Jun 1, 2025