Single-Cell RNA-sequencing Revolutionizes Our Understanding of Cancer Biology

Authors

  • Ajay Nair Associate Research Scientist, Department of Medicine, Columbia University Irving Medical Center, Columbia University

Keywords:

Cancer, scRNA-seq, snRNA-seq, Tumor Microenvironment, Single-cell technology, Gene expression profiling

Abstract

Cancer is a difficult to treat debilitating disease with a worldwide increasing trend. Tumor cells along with the cells in the tumor microenvironment contribute to cancer. Previously, cancer biology was studied at a tissue level which masked the tumor heterogeneity and interactions between different cell types in sustaining cancer. Single-cell RNA-sequencing is a recent revolutionary technique where mRNA can be measured in each individual cell in a tissue. Thus, every individual cell in a cancer tissue could now be transcriptionally profiled to study tumor complexity. Here, we discuss three recent examples where application of the single-cell technology has provided a wealth of knowledge of tumor heterogeneity, microenvironment diversity, how a change in microenvironment enables tumor growth, and how tumor-microenvironmental interactions sustain tumors. We also discuss the current challenges and future outlook.

Author Biography

  • Ajay Nair, Associate Research Scientist, Department of Medicine, Columbia University Irving Medical Center, Columbia University

    Ajay Nair is an Associate Research Scientist at the Columbia University, New York, USA. His research focuses on transcriptional regulation, cancer biology and fibrotic diseases. He uses both computational and wet-lab tools in research including machine learning, single-cell technologies and cell culture. He completed his masters from IIT Delhi with first rank and did a Joint-PhD from IIT Bombay and Monash University, Australia. His research work has produced 20 publications in journals including Nature, Cell, Cancer Cell, Cancer Discovery and Science Translational Medicine that have over 650 citations.

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Bioinformatics

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2023-05-28

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Vol. 10 No. 2 (2023): Bio Informatics

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The journal's delayed open access model supports global knowledge dissemination, ensuring that research is accessible without financial or legal barriers. Authors are also encouraged to archive their published articles in institutional repositories, personal websites, or other platforms, with full citation of the journal version. Pre-print versions posted online should include a citation and link to the final published version in IS as soon as the issue is available; post-print versions (including the final publisher's PDF) should include a citation and link to the journal's website.

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