Literature DB >> 33766554

Single-cell sequencing technology in tumor research.

Xue Bai1, Yuxuan Li1, Xuemei Zeng1, Qiang Zhao2, Zhiwei Zhang3.   

Abstract

Tumor heterogeneity is a key characteristic of malignant tumors and a significant obstacle in cancer treatment and research. Although bulk tissue sequencing has wide coverage and high accuracy, it can only represent the dominant cell signal information of each sample, while masking the unique gene expression of rare cells; therefore it cannot represent genes that are unstable within a subgroup, but unchanged in a majority of cells. With the progress of genomic technology, the emergence of single-cell sequencing (SCS) has effectively solved the above problem. Genetic, transcriptomic and epigenetic sequencing at the single-cell level provides an important basis for us to correctly classify the cell subsets of heterogeneous tumor populations and to reveal the process of complex changes in tumor cells at the molecular level. Single-cell sequencing technology has been applied to the field of cancer, revealing exciting discoveries in the potential mechanisms of tumor driver gene mutation, clonal evolution, invasion and metastasis. It also provides favorable conditions for developing new tumor biomarkers and providing more accurate and individualized targeted tumor therapy. Herein, we review the steps and methods of single-cell sequencing and highlight the application of SCS in tumor diagnosis and clinical treatment.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cancer; Clinical applications; Precision medicine; Single-cell sequencing technology; Tumor heterogeneity

Year:  2021        PMID: 33766554     DOI: 10.1016/j.cca.2021.03.013

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  2 in total

Review 1.  Single-cell sequencing: a promising approach for uncovering the mechanisms of tumor metastasis.

Authors:  Junpu Wang; Chunlin Ou; Yingying Han; Dan Wang; Lushan Peng; Tao Huang; Xiaoyun He
Journal:  J Hematol Oncol       Date:  2022-05-12       Impact factor: 23.168

Review 2.  An Overview on Single-Cell Technology for Hepatocellular Carcinoma Diagnosis.

Authors:  Sheik Aliya; Hoomin Lee; Munirah Alhammadi; Reddicherla Umapathi; Yun Suk Huh
Journal:  Int J Mol Sci       Date:  2022-01-26       Impact factor: 5.923

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.