Highly variable cancer subpopulations that exhibit enhanced transcriptome variability and metastatic fitness

Alexander Nguyen, Mitsukuni Yoshida, Hani Goodarzi and Sohail F. Tavazoie ()
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Alexander Nguyen: Laboratory of Systems Cancer Biology, The Rockefeller University
Mitsukuni Yoshida: Laboratory of Systems Cancer Biology, The Rockefeller University
Hani Goodarzi: Laboratory of Systems Cancer Biology, The Rockefeller University
Sohail F. Tavazoie: Laboratory of Systems Cancer Biology, The Rockefeller University

Nature Communications, 2016, vol. 7, issue 1, 1-13

Abstract: Abstract Individual cells within a tumour can exhibit distinct genetic and molecular features. The impact of such diversification on metastatic potential is unknown. Here we identify clonal human breast cancer subpopulations that display different levels of morphological and molecular diversity. Highly variable subpopulations are more proficient at metastatic colonization and chemotherapeutic survival. Through single-cell RNA-sequencing, inter-cell transcript expression variability is identified as a defining feature of the highly variable subpopulations that leads to protein-level variation. Furthermore, we identify high variability in the spliceosomal machinery gene set. Engineered variable expression of the spliceosomal gene SNRNP40 promotes metastasis, attributable to cells with low expression. Clinically, low SNRNP40 expression is associated with metastatic relapse. Our findings reveal transcriptomic variability generation as a mechanism by which cancer subpopulations can diversify gene expression states, which may allow for enhanced fitness under changing environmental pressures encountered during cancer progression.

Date: 2016
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DOI: 10.1038/ncomms11246

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