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

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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)

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.

Suggested Citation

  • Alexander Nguyen & Mitsukuni Yoshida & Hani Goodarzi & Sohail F. Tavazoie, 2016. "Highly variable cancer subpopulations that exhibit enhanced transcriptome variability and metastatic fitness," Nature Communications, Nature, vol. 7(1), pages 1-13, September.
  • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11246
    DOI: 10.1038/ncomms11246
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    Cited by:

    1. Akihisa Seita & Hidenori Nakaoka & Reiko Okura & Yuichi Wakamoto, 2021. "Intrinsic growth heterogeneity of mouse leukemia cells underlies differential susceptibility to a growth-inhibiting anticancer drug," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-16, February.

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