Literature DB >> 26941284

Single-Cell Sequencing for Precise Cancer Research: Progress and Prospects.

Xiaoyan Zhang1, Sadie L Marjani2, Zhaoyang Hu1, Sherman M Weissman3, Xinghua Pan4, Shixiu Wu5.   

Abstract

Advances in genomic technology have enabled the faithful detection and measurement of mutations and the gene expression profile of cancer cells at the single-cell level. Recently, several single-cell sequencing methods have been developed that permit the comprehensive and precise analysis of the cancer-cell genome, transcriptome, and epigenome. The use of these methods to analyze cancer cells has led to a series of unanticipated discoveries, such as the high heterogeneity and stochastic changes in cancer-cell populations, the new driver mutations and the complicated clonal evolution mechanisms, and the novel identification of biomarkers of variant tumors. These methods and the knowledge gained from their utilization could potentially improve the early detection and monitoring of rare cancer cells, such as circulating tumor cells and disseminated tumor cells, and promote the development of personalized and highly precise cancer therapy. Here, we discuss the current methods for single cancer-cell sequencing, with a strong focus on those practically used or potentially valuable in cancer research, including single-cell isolation, whole genome and transcriptome amplification, epigenome profiling, multi-dimensional sequencing, and next-generation sequencing and analysis. We also examine the current applications, challenges, and prospects of single cancer-cell sequencing. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 26941284     DOI: 10.1158/0008-5472.CAN-15-1907

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  37 in total

1.  Next-generation Sequencing (NGS) Analysis on Single Circulating Tumor Cells (CTCs) with No Need of Whole-genome Amplification (WGA).

Authors:  Raffaele Palmirotta; Domenica Lovero; Erica Silvestris; Claudia Felici; Davide Quaresmini; Paola Cafforio; Franco Silvestris
Journal:  Cancer Genomics Proteomics       Date:  2017 May-Jun       Impact factor: 4.069

Review 2.  Next-generation molecular diagnosis: single-cell sequencing from bench to bedside.

Authors:  Wanjun Zhu; Xiao-Yan Zhang; Sadie L Marjani; Jialing Zhang; Wengeng Zhang; Shixiu Wu; Xinghua Pan
Journal:  Cell Mol Life Sci       Date:  2016-10-13       Impact factor: 9.261

Review 3.  A population genetics perspective on the determinants of intra-tumor heterogeneity.

Authors:  Zheng Hu; Ruping Sun; Christina Curtis
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2017-03-06       Impact factor: 10.680

Review 4.  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 5.  Mechanisms that drive inflammatory tumor microenvironment, tumor heterogeneity, and metastatic progression.

Authors:  Li Yang; P Charles Lin
Journal:  Semin Cancer Biol       Date:  2017-08-03       Impact factor: 15.707

6.  Microfluidic Iterative Mechanical Characteristics (iMECH) Analyzer for Single-Cell Metastatic Identification.

Authors:  Hesam Babahosseini; Jeannine S Strobl; Masoud Agah
Journal:  Anal Methods       Date:  2017-01-04       Impact factor: 2.896

7.  Bisulfite-independent analysis of CpG island methylation enables genome-scale stratification of single cells.

Authors:  Lin Han; Hua-Jun Wu; Haiying Zhu; Kun-Yong Kim; Sadie L Marjani; Markus Riester; Ghia Euskirchen; Xiaoyuan Zi; Jennifer Yang; Jasper Han; Michael Snyder; In-Hyun Park; Rafael Irizarry; Sherman M Weissman; Franziska Michor; Rong Fan; Xinghua Pan
Journal:  Nucleic Acids Res       Date:  2017-06-02       Impact factor: 16.971

8.  Accurate single-cell genotyping utilizing information from the local genome territory.

Authors:  Kailing Tu; Keying Lu; Qilin Zhang; Wei Huang; Dan Xie
Journal:  Nucleic Acids Res       Date:  2021-06-04       Impact factor: 16.971

9.  Evolution and heterogeneity of non-hereditary colorectal cancer revealed by single-cell exome sequencing.

Authors:  H Wu; X-Y Zhang; Z Hu; Q Hou; H Zhang; Y Li; S Li; J Yue; Z Jiang; S M Weissman; X Pan; B-G Ju; S Wu
Journal:  Oncogene       Date:  2016-12-12       Impact factor: 9.867

10.  Autofluorescence as a Signal to Sort Developing Glandular Trichomes by Flow Cytometry.

Authors:  Nick Bergau; Alexander Navarette Santos; Anja Henning; Gerd U Balcke; Alain Tissier
Journal:  Front Plant Sci       Date:  2016-06-28       Impact factor: 5.753

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