Evidence map›Paper›PMID 33085550›Full record

ArticleMolecular biology of the cell2020

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

Aditya Arora, Jorge Luis Galeano Niño, Myint Zu Myaing, Shumei Chia, Bakya Arasi, Andrea Ravasio, Ruby Yun-Ju Huang, Ramanuj Dasgupta, Maté Biro, Virgile Viasnoff

Erratum issuedAbstract read
In one paragraph

Article in Molecular biology of the cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Aditya AroraMechanobiology Institute, National University of Singapore, Singapore 117411.
Jorge Luis Galeano NiñoEMBL Australia, Single Molecule Science Node, School of Medical Sciences, University of New South Wales 2052, Sydney, Australia.
Myint Zu MyaingMechanobiology Institute, National University of Singapore, Singapore 117411.
Shumei ChiaLaboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore/A*STAR, Singapore 138632.
Bakya ArasiMechanobiology Institute, National University of Singapore, Singapore 117411.
Andrea RavasioMechanobiology Institute, National University of Singapore, Singapore 117411.
Ruby Yun-Ju HuangCancer Science Institute of Singapore, National University of Singapore, Centre for Translational Medicine, Singapore 117599.
Ramanuj DasguptaLaboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore/A*STAR, Singapore 138632.
Maté BiroLaboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore/A*STAR, Singapore 138632.
Virgile ViasnoffMechanobiology Institute, National University of Singapore, Singapore 117411.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential to migrate is one of the most fundamental functions for various epithelial, mesenchymal, and immune cells. Image analysis of motile cell populations, both primary and cultured, typically reveals an intercellular variability in migration speeds. However, cell migration chromatography, the sorting of large populations of cells based on their migratory characteristics, cannot be easily performed. The lack of such methods has hindered our understanding of the direct correlation between the capacity to migrate and other cellular properties. Here, we report two novel, easily implementable and readily scalable methods to sort millions of live migratory cancer and immune cells based on their spontaneous migration in two-dimensional and three-dimensional microenvironments, respectively. Correlative downstream transcriptomic, molecular and functional tests reveal marked differences between the fast and slow subpopulations in patient-derived cancer cells. We further employ our method to reveal that sorting the most migratory cytotoxic T lymphocytes yields a pool of cells with enhanced cytotoxicity against cancer cells. This phenotypic assay opens new avenues for the precise characterization of the mechanisms underlying hither to unexplained heterogeneities in migratory phenotypes within a cell population, and for the targeted enrichment of the most potent migratory leukocytes in immunotherapies.

Indexed as

Cell Line, TumorCell Migration AssaysCell MovementCell SeparationExtracellular MatrixHumans

Identifiers

PMID33085550
PMCPMC7851856

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.