Evidence map›Paper›PMID 37575281›Full record

ArticleCancer research communications2023

Targeted Single-cell Isolation of Spontaneously Escaping Live Melanoma Cells for Comparative Transcriptomics.

Jacqueline L E Tearle, Satya N V Arjunan, Szun S Tay, Feyza Colakoglu, James Cremasco, Matteo Golo, Maté Biro

Open access · goldAbstract read
In one paragraph

Article in Cancer research communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 59% of its field
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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Jacqueline L E TearleEMBL Australia, Single Molecule Science node, School of Biomedical Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0001-7464-6187
Satya N V ArjunanEMBL Australia, Single Molecule Science node, School of Biomedical Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0002-2913-3347
Szun S TayEMBL Australia, Single Molecule Science node, School of Biomedical Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0003-0186-8154
Feyza ColakogluEMBL Australia, Single Molecule Science node, School of Biomedical Sciences, University of New South Wales, Sydney, Australia.ORCID 0009-0008-2571-0152
James CremascoEMBL Australia, Single Molecule Science node, School of Biomedical Sciences, University of New South Wales, Sydney, Australia.ORCID 0009-0001-7431-8033
Matteo GoloEMBL Australia, Single Molecule Science node, School of Biomedical Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0002-1604-3887
Maté BiroEMBL Australia, Single Molecule Science node, School of Biomedical Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0001-5852-3726
EMBL Australia · AUGarvan Institute of Medical Research · AUVictor Chang Cardiac Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solid cancer cells escape the primary tumor mass by transitioning from an epithelial-like state to an invasive migratory state. As they escape, metastatic cancer cells employ interchangeable modes of invasion, transitioning between fibroblast-like mesenchymal movement to amoeboid migration, where cells display a rounded morphology and navigate the extracellular matrix in a protease-independent manner. However, the gene transcripts that orchestrate the switch between epithelial, mesenchymal, and amoeboid states remain incompletely mapped, mainly due to a lack of methodologies that allow the direct comparison of the transcriptomes of spontaneously invasive cancer cells in distinct migratory states. Here, we report a novel single-cell isolation technique that provides detailed three-dimensional data on melanoma growth and invasion, and enables the isolation of live, spontaneously invasive cancer cells with distinct morphologies and invasion parameters. Via the expression of a photoconvertible fluorescent protein, compact epithelial-like cells at the periphery of a melanoma mass, elongated cells in the process of leaving the mass, and rounded amoeboid cells invading away from the mass were tagged, isolated, and subjected to single-cell RNA sequencing. A total of 462 differentially expressed genes were identified, from which two candidate proteins were selected for further pharmacologic perturbation, yielding striking effects on tumor escape and invasion, in line with the predictions from the transcriptomics data. This work describes a novel, adaptable, and readily implementable method for the analysis of the earliest phases of tumor escape and metastasis, and its application to the identification of genes underpinning the invasiveness of malignant melanoma. Significance: This work describes a readily implementable method that allows for the isolation of individual live tumor cells of interest for downstream analyses, and provides the single-cell transcriptomes of melanoma cells at distinct invasive states, both of which open avenues for in-depth investigations into the transcriptional regulation of the earliest phases of metastasis.

Indexed as

MelanomaTranscriptomeCell Line, TumorCell MovementHumansNeoplasm Invasiveness

Identifiers

PMID37575281
PMCPMC10416804
OpenAlexW4384616459

What Socratic holds

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LicenceCC BY
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Registered trials

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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.