Literature DB >> 26594792

Single-cell sequencing in cancer research.

Mireia Mato Prado1, Adam E Frampton1,2, Justin Stebbing1, Jonathan Krell.   

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.

Entities:  

Keywords:  biomarkers; cancer; diagnosis; prognosis; single-cell sequencing

Mesh:

Substances:

Year:  2015        PMID: 26594792     DOI: 10.1586/14737159.2016.1115345

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  3 in total

Review 1.  High-dimension single-cell analysis applied to cancer.

Authors:  Lili Wang; Kenneth J Livak; Catherine J Wu
Journal:  Mol Aspects Med       Date:  2017-08-30

Review 2.  Single-cell sequencing and tumorigenesis: improved understanding of tumor evolution and metastasis.

Authors:  Darrell L Ellsworth; Heather L Blackburn; Craig D Shriver; Shahrooz Rabizadeh; Patrick Soon-Shiong; Rachel E Ellsworth
Journal:  Clin Transl Med       Date:  2017-04-12

3.  Time-Resolved scRNA-Seq Tracks the Adaptation of a Sensitive MCL Cell Line to Ibrutinib Treatment.

Authors:  Viktoria Fuhr; Ehsan Vafadarnejad; Oliver Dietrich; Panagiota Arampatzi; Angela Riedel; Antoine-Emmanuel Saliba; Andreas Rosenwald; Hilka Rauert-Wunderlich
Journal:  Int J Mol Sci       Date:  2021-02-25       Impact factor: 5.923

  3 in total

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