Applications of single-cell sequencing in cancer research: progress and perspectives

Clicks: 297
ID: 265754
2021
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #6 of 8 articles by views in journal of hematology & oncology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Single-cell sequencing, including genomics, transcriptomics, epigenomics, proteomics and metabolomics sequencing, is a powerful tool to decipher the cellular and molecular landscape at a single-cell resolution, unlike bulk sequencing, which provides averaged data. The use of single-cell sequencing in cancer research has revolutionized our understanding of the biological characteristics and dynamics within cancer lesions. In this review, we summarize emerging single-cell sequencing technologies and recent cancer research progress obtained by single-cell sequencing, including information related to the landscapes of malignant cells and immune cells, tumor heterogeneity, circulating tumor cells and the underlying mechanisms of tumor biological behaviors. Overall, the prospects of single-cell sequencing in facilitating diagnosis, targeted therapy and prognostic prediction among a spectrum of tumors are bright. In the near future, advances in single-cell sequencing will undoubtedly improve our understanding of the biological characteristics of tumors and highlight potential precise therapeutic targets for patients.
Reference Key
lei2021journalapplications Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yalan Lei;Rong Tang;Jin Xu;Wei Wang;Bo Zhang;Jiang Liu;Xianjun Yu;Si Shi;Yalan Lei;Rong Tang;Jin Xu;Wei Wang;Bo Zhang;Jiang Liu;Xianjun Yu;Si Shi;
Journal journal of hematology & oncology
Year 2021
DOI
doi:10.1186/s13045-021-01105-2
URL
https://link.springer.com/article/10.1186/s13045-021-01105-2/fulltext.html
Keywords
oncology hematology cancer research oncology hematology cancer research

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.