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AIMS Biophysics

2017, Volume 4, Issue 2: 210-221. doi: 10.3934/biophy.2017.2.210
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Applications of single-cell sequencing for human lung cancer: the progress and the future perspective

  • 1.
    Department of Thorax Medicine, the First Affiliated Hospital of Shenzhen University, Shenzhen, PR China
  • 2.
    Department of Thorax Medicine, Lunggang People’s Hospital, Shenzhen, PR China
  • 3.
    Functional Genomics Group, National Heart and Lung Institute, Imperial College London, the United Kingdom
  • Received: 05 January 2017 Accepted: 13 March 2017 Published: 23 March 2017

  • Human lung cancer is an extremely heterogeneous disease. Cell heterogeneity and diversity are responsible for lung cancer’s invasion, metastasis and the resistance to therapies. Recent developments of single-cell analysis make it possible for DNA sequencing, RNA sequencing and genomic element sequencing for single-cells from lung cancer. Methodology of single-cell sequencing was improved to reduce the errors in the processes due to applying tiny amount of the genetic materials. The single-cell sequencing for lung cancer has begun to reveal the deep insights of the cancer evolution and provided the new targets for clinical care. In this review, we briefly describe the methods of isolation, amplification and sequencing of single-cells. We also discuss the current progress in the research of lung cancer and the future prospects in single-cell analysis for the disease.

    Citation: Min Zhang, Shijun Lin, Wendi Xiao, Danhua Chen, Dongxia Yang, Youming Zhang. Applications of single-cell sequencing for human lung cancer: the progress and the future perspective[J]. AIMS Biophysics, 2017, 4(2): 210-221. doi: 10.3934/biophy.2017.2.210

    Related Papers:

  • Human lung cancer is an extremely heterogeneous disease. Cell heterogeneity and diversity are responsible for lung cancer’s invasion, metastasis and the resistance to therapies. Recent developments of single-cell analysis make it possible for DNA sequencing, RNA sequencing and genomic element sequencing for single-cells from lung cancer. Methodology of single-cell sequencing was improved to reduce the errors in the processes due to applying tiny amount of the genetic materials. The single-cell sequencing for lung cancer has begun to reveal the deep insights of the cancer evolution and provided the new targets for clinical care. In this review, we briefly describe the methods of isolation, amplification and sequencing of single-cells. We also discuss the current progress in the research of lung cancer and the future prospects in single-cell analysis for the disease.


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  • © 2017 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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  • 1. 

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