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Single-cell sequencing in cancer research.

Authors :
Mato Prado, Mireia
Frampton, Adam E
Stebbing, Justin
Krell, Jonathan
Source :
Expert Review of Molecular Diagnostics; Jan2016, Vol. 16 Issue 1, p1-5, 5p
Publication Year :
2016

Abstract

Genome-wide single-cell sequencing investigations have the potential to classify individual cells within a tumor mass. In recent years, various single-cell DNA and RNA quantification techniques have facilitated significant advances in our ability to classify subpopulations of cells within a heterogeneous population. These approaches provide the possibility of unraveling the complex variability in genetic, epigenetic and transcriptional interactions that occur within identical cells in a tumor. This should enhance our knowledge of the underlying biological phenotypes and could have a huge impact in designing more precise anticancer treatments in order to improve outcomes and avoid tumor resistance. In addition, single-cell sequencing analysis has the potential to allow the development of better diagnostic and prognostic biomarkers, and thus aid the delivery of more personalized targeted cancer therapy. Nevertheless, further research is still required to overcome technical, biological and computational problems before clinical application. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
14737159
Volume :
16
Issue :
1
Database :
Complementary Index
Journal :
Expert Review of Molecular Diagnostics
Publication Type :
Academic Journal
Accession number :
112260521
Full Text :
https://doi.org/10.1586/14737159.2016.1115345