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Updated: Jul 19, 2025
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A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
Published on: March 8, 2022
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Targeted Single-cell Isolation of Spontaneously Escaping Live Melanoma Cells for Comparative Transcriptomics
Jacqueline L E Tearle1,2, Satya N V Arjunan1,3, Szun S Tay1
1EMBL Australia, Single Molecule Science node, School of Biomedical Sciences, University of New South Wales, Sydney, Australia.
Cancer Research Communications
|August 14, 2023
Summary
Researchers developed a new method to isolate and analyze melanoma cells in different invasive states. This technique helps map gene transcripts controlling cancer cell metastasis and identifies potential drug targets for tumor escape.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Solid cancer cells transition between epithelial, mesenchymal, and amoeboid states during invasion and metastasis.
- Understanding the gene transcripts regulating these state transitions is crucial but challenging due to limited methodologies.
Purpose of the Study:
- To develop and apply a novel single-cell isolation technique for analyzing melanoma cell transcriptomes during distinct invasive states.
- To identify key genes and pathways involved in the earliest phases of tumor escape and metastasis.
Main Methods:
- A novel single-cell isolation technique using a photoconvertible fluorescent protein to tag and isolate live melanoma cells in epithelial, transitional, and amoeboid invasive states.
- Single-cell RNA sequencing was performed on isolated cells to compare transcriptomes.
- Pharmacologic perturbation of candidate genes identified from transcriptomic data.
Main Results:
- Successfully isolated live melanoma cells in distinct migratory states.
- Identified 462 differentially expressed genes associated with different invasive phenotypes.
- Pharmacologic targeting of two candidate proteins significantly affected tumor escape and invasion, validating transcriptomic predictions.
Conclusions:
- The developed method is adaptable and implementable for analyzing early-stage tumor metastasis.
- This approach successfully identified genes regulating melanoma cell invasiveness and provides insights into transcriptional regulation of metastasis.
