Literature DB >> 25438696

Single-cell sequencing technologies: current and future.

Jialong Liang1, Wanshi Cai1, Zhongsheng Sun2.   

Abstract

Intensively developed in the last few years, single-cell sequencing technologies now present numerous advantages over traditional sequencing methods for solving the problems of biological heterogeneity and low quantities of available biological materials. The application of single-cell sequencing technologies has profoundly changed our understanding of a series of biological phenomena, including gene transcription, embryo development, and carcinogenesis. However, before single-cell sequencing technologies can be used extensively, researchers face the serious challenge of overcoming inherent issues of high amplification bias, low accuracy and reproducibility. Here, we simply summarize the techniques used for single-cell isolation, and review the current technologies used in single-cell genomic, transcriptomic, and epigenomic sequencing. We discuss the merits, defects, and scope of application of single-cell sequencing technologies and then speculate on the direction of future developments.
Copyright © 2014 Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and Genetics Society of China. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Epigenome; Genome; Sequencing; Single-cell; Transcriptome

Mesh:

Year:  2014        PMID: 25438696     DOI: 10.1016/j.jgg.2014.09.005

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN: 1673-8527            Impact factor:   4.275


  24 in total

1.  Q-RRBS: a quantitative reduced representation bisulfite sequencing method for single-cell methylome analyses.

Authors:  Kangli Wang; Xianfeng Li; Shanshan Dong; Jialong Liang; Fengbiao Mao; Cheng Zeng; Honghu Wu; Jinyu Wu; Wanshi Cai; Zhong Sheng Sun
Journal:  Epigenetics       Date:  2015-07-25       Impact factor: 4.528

Review 2.  Insect phylogenomics.

Authors:  S K Behura
Journal:  Insect Mol Biol       Date:  2015-05-12       Impact factor: 3.585

3.  Technological advances in precision medicine and drug development.

Authors:  Elaine Maggi; Nicole E Patterson; Cristina Montagna
Journal:  Expert Rev Precis Med Drug Dev       Date:  2016-05-05

Review 4.  Microfluidic Sample Preparation for Single Cell Analysis.

Authors:  Sanjin Hosic; Shashi K Murthy; Abigail N Koppes
Journal:  Anal Chem       Date:  2015-12-03       Impact factor: 6.986

Review 5.  The application of single-cell sequencing technology in the diagnosis and treatment of hepatocellular carcinoma.

Authors:  Kai Kang; Xuezhu Wang; Chan Meng; Li He; Xinting Sang; Yongchang Zheng; Haifeng Xu
Journal:  Ann Transl Med       Date:  2019-12

Review 6.  Beyond the bulk: disclosing the life of single microbial cells.

Authors:  Katrin Rosenthal; Verena Oehling; Christian Dusny; Andreas Schmid
Journal:  FEMS Microbiol Rev       Date:  2017-11-01       Impact factor: 16.408

7.  Analysis of aggregated cell-cell statistical distances within pathways unveils therapeutic-resistance mechanisms in circulating tumor cells.

Authors:  A Grant Schissler; Qike Li; James L Chen; Colleen Kenost; Ikbel Achour; D Dean Billheimer; Haiquan Li; Walter W Piegorsch; Yves A Lussier
Journal:  Bioinformatics       Date:  2016-06-15       Impact factor: 6.937

Review 8.  Single-Cell Genomic Analysis in Plants.

Authors:  Yuxuan Yuan; HueyTyng Lee; Haifei Hu; Armin Scheben; David Edwards
Journal:  Genes (Basel)       Date:  2018-01-22       Impact factor: 4.096

9.  Robust transcriptional signatures for low-input RNA samples based on relative expression orderings.

Authors:  Huaping Liu; Yawei Li; Jun He; Qingzhou Guan; Rou Chen; Haidan Yan; Weicheng Zheng; Kai Song; Hao Cai; You Guo; Xianlong Wang; Zheng Guo
Journal:  BMC Genomics       Date:  2017-11-28       Impact factor: 3.969

Review 10.  Towards understanding the roles of position and geometry on cell fate decisions during preimplantation development.

Authors:  John S Biggins; Christophe Royer; Tomoko Watanabe; Shankar Srinivas
Journal:  Semin Cell Dev Biol       Date:  2015-09-05       Impact factor: 7.727

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