Two high-yield complementary methods to sort cell populations by their 2D or 3D migration speed-Reference-Cited by-同舟云学术

Two high-yield complementary methods to sort cell populations by their 2D or 3D migration speed

Published:2020-12-01 Issue:25 Volume:31 Page:2779-2790
ISSN:1059-1524
Container-title:Molecular Biology of the Cell
language:en
Short-container-title:MBoC

Author:

Arora Aditya¹,Niño Jorge Luis Galeano²,Myaing Myint Zu¹,Chia Shumei³,Arasi Bakya¹,Ravasio Andrea¹⁴,Huang Ruby Yun-Ju⁵,Dasgupta Ramanuj³,Biro Maté³,Viasnoff Virgile¹⁴

Affiliation:

1. Mechanobiology Institute, National University of Singapore, Singapore 117411

2. EMBL Australia, Single Molecule Science Node, School of Medical Sciences, University of New South Wales 2052, Sydney, Australia

3. Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore/A*STAR, Singapore 138632

4. Pontificia Universidad Católica de Chile, Santiago, Chile

5. Cancer Science Institute of Singapore, National University of Singapore, Centre for Translational Medicine, Singapore 117599

Abstract

This article describes a facile approach to sort millions of cells based on their migration speeds in 2D or 3D microenvironments. We validate the method using imaging, transcriptomics, and functional assays for cancer and immune cells. The tool is valuable to study new correlative and causative phenotypes associated with cell migration.

Publisher

American Society for Cell Biology (ASCB)

Subject

Cell Biology,Molecular Biology

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