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Isolation of Phenotypically Distinct Cancer Cells Using Nanoparticle-Mediated Sorting.
Brenda J Green, Leyla Kermanshah, Mahmoud Labib
1Department of Biochemistry, Faculty of Medicine, University of Toronto , Toronto M5S 1A8, Canada.
This study developed a microfluidic device using magnetic nanoparticles to isolate cancer cell subpopulations based on epithelial cell adhesion molecule (EpCAM) expression. Low-EpCAM cells showed increased invasiveness markers, aiding cancer progression research.
Area of Science:
- Biotechnology
- Cancer Research
- Microfluidics
Background:
- Isolating heterogeneous cancer cell subpopulations is crucial for understanding tumor progression and the epithelial-to-mesenchymal transition.
- Characterizing circulating tumor cells (CTCs) requires methods to distinguish cells with varying phenotypes.
Purpose of the Study:
- To develop and validate a microfluidic device for separating distinct cancer cell subpopulations.
- To associate cell surface marker expression (EpCAM) with functional characteristics related to invasiveness and metabolic activity.
Main Methods:
- Utilized a microfluidic device with magnetic nanoparticles coated with antibodies against epithelial cell adhesion molecule (EpCAM).
- Separated breast cancer cells based on EpCAM expression levels.
- Assessed phenotypic properties of isolated subpopulations, including collagen uptake and NAD(P)H metabolic activity.
Main Results:
- Low-EpCAM expressing cells exhibited higher collagen uptake and folate-induced NAD(P)H responses compared to high-EpCAM cells.
- Hypoxia-induced cells showed reduced EpCAM expression, increased collagen uptake, and higher NAD(P)H metabolism.
- Nanoparticle-mediated sorting successfully isolated functionally distinct cell subpopulations.
Conclusions:
- The microfluidic device effectively isolates cancer cell subpopulations with differing phenotypes and functional characteristics.
- Epithelial cell adhesion molecule (EpCAM) expression levels correlate with invasiveness markers like collagen uptake and metabolic activity.
- This technology aids in associating surface marker expression with cancer cell invasiveness and progression.
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