Literature DB >> 31958516

Progress and applications of single-cell sequencing techniques.

Aimaiti Yasen1, Abudusalamu Aini2, Hui Wang3, Wending Li4, Chuanshan Zhang3, Bo Ran5, Tuerhongjiang Tuxun5, Yusufukadier Maimaitinijiati2, Yingmei Shao5, Tuerganaili Aji6, Hao Wen7.   

Abstract

Single-cell sequencing (SCS) is a next-generation sequencing method that is mainly used to analyze differences in genetic and protein information between cells, to obtain genetic information on microorganisms that are difficult to cultivate at a single-cell level and to better understand their specific roles in the microenvironment. By sequencing the whole genome, transcriptome and epigenome of a single cell, the complex heterogeneous mechanisms involved in disease occurrence and progression can be revealed, further improving disease diagnosis, prognosis prediction and monitoring of the therapeutic effects of drugs. In this study, we mainly summarized the methods and application fields of SCS, which may provide potential references for its future clinical applications, including the analysis of embryonic and organ development, the immune system, cancer progression, and parasitic and infectious diseases as well as stem cell research, antibody screening, and therapeutic research and development.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Application; Epigenetic sequencing; Single-cell sequencing; Whole-genome sequencing; Whole-transcriptome sequencing

Mesh:

Year:  2020        PMID: 31958516     DOI: 10.1016/j.meegid.2020.104198

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  10 in total

1.  Mixed Distribution Models Based on Single-Cell RNA Sequencing Data.

Authors:  Min Wu; Junhua Xu; Tao Ding; Jie Gao
Journal:  Interdiscip Sci       Date:  2021-03-22       Impact factor: 2.233

Review 2.  Towards high throughput and high information coverage: advanced single-cell mass spectrometric techniques.

Authors:  Shuting Xu; Cheng Yang; Xiuping Yan; Huwei Liu
Journal:  Anal Bioanal Chem       Date:  2021-08-26       Impact factor: 4.142

Review 3.  Sample-multiplexing approaches for single-cell sequencing.

Authors:  Yulong Zhang; Siwen Xu; Zebin Wen; Jinyu Gao; Shuang Li; Sherman M Weissman; Xinghua Pan
Journal:  Cell Mol Life Sci       Date:  2022-08-05       Impact factor: 9.207

4.  One Cell at a Time: Advances in Single-Cell Methods and Instrumentation for Discovery in Aquatic Microbiology.

Authors:  Vesna Grujcic; Gordon T Taylor; Rachel A Foster
Journal:  Front Microbiol       Date:  2022-05-23       Impact factor: 6.064

Review 5.  Research Progress of Cell Lineage Tracing and Single-Cell Sequencing Technology in Malignant Skin Tumors.

Authors:  Ang Li; Baoyi Liu; Jingkai Xu; Yong Cui
Journal:  Front Surg       Date:  2022-06-16

6.  Molecular analysis of vascular gene expression.

Authors:  Martijn A Van der Ent; David Svilar; Audrey C A Cleuren
Journal:  Res Pract Thromb Haemost       Date:  2022-05-19

Review 7.  Harnessing Single-Cell RNA Sequencing to Better Understand How Diseased Cells Behave the Way They Do in Cardiovascular Disease.

Authors:  Farwah Iqbal; Adrien Lupieri; Masanori Aikawa; Elena Aikawa
Journal:  Arterioscler Thromb Vasc Biol       Date:  2020-12-17       Impact factor: 8.311

Review 8.  Application of single-cell RNA sequencing technology in liver diseases: a narrative review.

Authors:  Lian He; Anjing Lu; Lin Qin; Qianru Zhang; Hua Ling; Daopeng Tan; Yuqi He
Journal:  Ann Transl Med       Date:  2021-10

9.  Discovery and characterization of SARS-CoV-2 reactive and neutralizing antibodies from humanized CAMouseHG mice through rapid hybridoma screening and high-throughput single-cell V(D)J sequencing.

Authors:  Xi Yang; Hang Chi; Meng Wu; Zhenshan Wang; Qiaoli Lang; Qiuxue Han; Xinyue Wang; Xueqin Liu; Yuanguo Li; Xiwen Wang; Nan Huang; Jinhao Bi; Hao Liang; Yuwei Gao; Yongkun Zhao; Na Feng; Songtao Yang; Tiecheng Wang; Xianzhu Xia; Liangpeng Ge
Journal:  Front Immunol       Date:  2022-09-23       Impact factor: 8.786

10.  The Promise of Patient-Derived Colon Organoids to Model Ulcerative Colitis.

Authors:  Babajide A Ojo; Kelli L VanDussen; Michael J Rosen
Journal:  Inflamm Bowel Dis       Date:  2022-02-01       Impact factor: 7.290

  10 in total

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