Single-cell tracking as a tool for studying EMT-phenotypes.

Ellen Marie Botne Quinsgaard, Mónica Suárez Korsnes, Reinert Korsnes, Siver Andreas Moestue
Author Information
  1. Ellen Marie Botne Quinsgaard: Norwegian University of Science and Technology (NTNU), Department of Clinical and Molecular Medicine, NO-7491 Trondheim, Norway. Electronic address: ellen.m.quinsgaard@ntnu.no.
  2. Mónica Suárez Korsnes: Norwegian University of Science and Technology (NTNU), Department of Clinical and Molecular Medicine, NO-7491 Trondheim, Norway; Korsnes Biocomputing (KoBio), Trondheim, Norway.
  3. Reinert Korsnes: Korsnes Biocomputing (KoBio), Trondheim, Norway.
  4. Siver Andreas Moestue: Norwegian University of Science and Technology (NTNU), Department of Clinical and Molecular Medicine, NO-7491 Trondheim, Norway; Department of Pharmacy, Nord University, Bodø, Norway.

Abstract

This article demonstrates that label-free single-cell video tracking is a useful approach for in vitro studies of Epithelial-Mesenchymal Transition (EMT). EMT is a highly heterogeneous process, involved in wound healing, embryogenesis and cancer. The process promotes metastasis, and increased understanding can aid development of novel therapeutic strategies. The role of EMT-associated biomarkers depends on biological context, making it challenging to compare and interpret data from different studies. We demonstrate single-cell video tracking for comprehensive phenotype analysis. In this study we performed single-cell video tracking on 72-h long recordings. We quantified several behaviours at a single-cell level during induced EMT in MDA-MB-468 cells. This revealed notable variations in migration speed, with different dose-response patterns and varying distributions of speed. By registering cell morphologies during the recording, we determined preferred paths of morphological transitions. We also found a clear association between migration speed and cell morphology. We found elevated rates of cell death, diminished proliferation, and an increase in mitotic failures followed by re-fusion of sister-cells. The method allows tracking of phenotypes in cell lineages, which can be particularly useful in epigenetic studies. Sister-cells were found to have significant similarities in their speeds and morphologies, illustrating the heritability of these traits.

Keywords

MeSH Term

Cell Tracking
Cell Line, Tumor
Epithelial-Mesenchymal Transition
Phenotype
Biomarkers
Cell Movement

Chemicals

Biomarkers

Word Cloud

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