Literature DB >> 26000845

Advances and applications of single-cell sequencing technologies.

Yong Wang1, Nicholas E Navin2.   

Abstract

Single-cell sequencing (SCS) has emerged as a powerful new set of technologies for studying rare cells and delineating complex populations. Over the past 5 years, SCS methods for DNA and RNA have had a broad impact on many diverse fields of biology, including microbiology, neurobiology, development, tissue mosaicism, immunology, and cancer research. In this review, we will discuss SCS technologies and applications, as well as translational applications in the clinic.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID： 26000845      PMCID： PMC4441954          DOI： 10.1016/j.molcel.2015.05.005

Source DB:  PubMed          Journal:  Mol Cell        ISSN： 1097-2765            Impact factor:   17.970


  96 in total

1.  Degenerate oligonucleotide-primed PCR: general amplification of target DNA by a single degenerate primer.

Authors:  H Telenius; N P Carter; C E Bebb; M Nordenskjöld; B A Ponder; A Tunnacliffe
Journal:  Genomics       Date:  1992-07       Impact factor: 5.736

2.  Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing.

Authors:  Dmitry Usoskin; Alessandro Furlan; Saiful Islam; Hind Abdo; Peter Lönnerberg; Daohua Lou; Jens Hjerling-Leffler; Jesper Haeggström; Olga Kharchenko; Peter V Kharchenko; Sten Linnarsson; Patrik Ernfors
Journal:  Nat Neurosci       Date:  2014-11-24       Impact factor: 24.884

3.  Entering the era of single-cell transcriptomics in biology and medicine.

Authors:  Rickard Sandberg
Journal:  Nat Methods       Date:  2014-01       Impact factor: 28.547

4.  Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution.

Authors:  Peter Eirew; Adi Steif; Jaswinder Khattra; Gavin Ha; Damian Yap; Hossein Farahani; Karen Gelmon; Stephen Chia; Colin Mar; Adrian Wan; Emma Laks; Justina Biele; Karey Shumansky; Jamie Rosner; Andrew McPherson; Cydney Nielsen; Andrew J L Roth; Calvin Lefebvre; Ali Bashashati; Camila de Souza; Celia Siu; Radhouane Aniba; Jazmine Brimhall; Arusha Oloumi; Tomo Osako; Alejandra Bruna; Jose L Sandoval; Teresa Algara; Wendy Greenwood; Kaston Leung; Hongwei Cheng; Hui Xue; Yuzhuo Wang; Dong Lin; Andrew J Mungall; Richard Moore; Yongjun Zhao; Julie Lorette; Long Nguyen; David Huntsman; Connie J Eaves; Carl Hansen; Marco A Marra; Carlos Caldas; Sohrab P Shah; Samuel Aparicio
Journal:  Nature       Date:  2014-11-26       Impact factor: 49.962

5.  Reproducible copy number variation patterns among single circulating tumor cells of lung cancer patients.

Authors:  Xiaohui Ni; Minglei Zhuo; Zhe Su; Jianchun Duan; Yan Gao; Zhijie Wang; Chenghang Zong; Hua Bai; Alec R Chapman; Jun Zhao; Liya Xu; Tongtong An; Qi Ma; Yuyan Wang; Meina Wu; Yu Sun; Shuhang Wang; Zhenxiang Li; Xiaodan Yang; Jun Yong; Xiao-Dong Su; Youyong Lu; Fan Bai; X Sunney Xie; Jie Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-09       Impact factor: 11.205

6.  Dissecting genomic diversity, one cell at a time.

Authors:  Paul C Blainey; Stephen R Quake
Journal:  Nat Methods       Date:  2014-01       Impact factor: 28.547

7.  Tracing the derivation of embryonic stem cells from the inner cell mass by single-cell RNA-Seq analysis.

Authors:  Fuchou Tang; Catalin Barbacioru; Siqin Bao; Caroline Lee; Ellen Nordman; Xiaohui Wang; Kaiqin Lao; M Azim Surani
Journal:  Cell Stem Cell       Date:  2010-05-07       Impact factor: 24.633

8.  EGFR variant heterogeneity in glioblastoma resolved through single-nucleus sequencing.

Authors:  Joshua M Francis; Cheng-Zhong Zhang; Cecile L Maire; Joonil Jung; Veronica E Manzo; Viktor A Adalsteinsson; Heather Homer; Sam Haidar; Brendan Blumenstiel; Chandra Sekhar Pedamallu; Azra H Ligon; J Christopher Love; Matthew Meyerson; Keith L Ligon
Journal:  Cancer Discov       Date:  2014-06-03       Impact factor: 39.397

9.  Whole-exome sequencing of circulating tumor cells provides a window into metastatic prostate cancer.

Authors:  Jens G Lohr; Viktor A Adalsteinsson; Kristian Cibulskis; Atish D Choudhury; Mara Rosenberg; Peter Cruz-Gordillo; Joshua M Francis; Cheng-Zhong Zhang; Alex K Shalek; Rahul Satija; John J Trombetta; Diana Lu; Naren Tallapragada; Narmin Tahirova; Sora Kim; Brendan Blumenstiel; Carrie Sougnez; Alarice Lowe; Bang Wong; Daniel Auclair; Eliezer M Van Allen; Mari Nakabayashi; Rosina T Lis; Gwo-Shu M Lee; Tiantian Li; Matthew S Chabot; Amy Ly; Mary-Ellen Taplin; Thomas E Clancy; Massimo Loda; Aviv Regev; Matthew Meyerson; William C Hahn; Philip W Kantoff; Todd R Golub; Gad Getz; Jesse S Boehm; J Christopher Love
Journal:  Nat Biotechnol       Date:  2014-04-20       Impact factor: 54.908

10.  Complex tumor genomes inferred from single circulating tumor cells by array-CGH and next-generation sequencing.

Authors:  Ellen Heitzer; Martina Auer; Christin Gasch; Martin Pichler; Peter Ulz; Eva Maria Hoffmann; Sigurd Lax; Julie Waldispuehl-Geigl; Oliver Mauermann; Carolin Lackner; Gerald Höfler; Florian Eisner; Heinz Sill; Hellmut Samonigg; Klaus Pantel; Sabine Riethdorf; Thomas Bauernhofer; Jochen B Geigl; Michael R Speicher
Journal:  Cancer Res       Date:  2013-03-07       Impact factor: 12.701
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  200 in total

1.  Uniform and accurate single-cell sequencing based on emulsion whole-genome amplification.

Authors:  Yusi Fu; Chunmei Li; Sijia Lu; Wenxiong Zhou; Fuchou Tang; X Sunney Xie; Yanyi Huang
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-04       Impact factor: 11.205

2.  The Mammalian Spermatogenesis Single-Cell Transcriptome, from Spermatogonial Stem Cells to Spermatids.

Authors:  Brian P Hermann; Keren Cheng; Anukriti Singh; Lorena Roa-De La Cruz; Kazadi N Mutoji; I-Chung Chen; Heidi Gildersleeve; Jake D Lehle; Max Mayo; Birgit Westernströer; Nathan C Law; Melissa J Oatley; Ellen K Velte; Bryan A Niedenberger; Danielle Fritze; Sherman Silber; Christopher B Geyer; Jon M Oatley; John R McCarrey
Journal:  Cell Rep       Date:  2018-11-06       Impact factor: 9.423

3.  Robustness, Accuracy, and Cell State Heterogeneity in Biological Systems.

Authors:  Roy Wollman
Journal:  Curr Opin Syst Biol       Date:  2017-12-15

4.  PaSD-qc: quality control for single cell whole-genome sequencing data using power spectral density estimation.

Authors:  Maxwell A Sherman; Alison R Barton; Michael A Lodato; Carl Vitzthum; Michael E Coulter; Christopher A Walsh; Peter J Park
Journal:  Nucleic Acids Res       Date:  2018-02-28       Impact factor: 16.971

5.  Transcribing the heart: faithfully interpreting cardiac transcriptional insights.

Authors:  Oscar Echeagaray; Mark A Sussman
Journal:  Regen Med       Date:  2019-08-29       Impact factor: 3.806

Review 6.  Animal regeneration in the era of transcriptomics.

Authors:  Loïc Bideau; Pierre Kerner; Jerome Hui; Michel Vervoort; Eve Gazave
Journal:  Cell Mol Life Sci       Date:  2021-01-30       Impact factor: 9.261

Review 7.  Understanding development and stem cells using single cell-based analyses of gene expression.

Authors:  Pavithra Kumar; Yuqi Tan; Patrick Cahan
Journal:  Development       Date:  2017-01-01       Impact factor: 6.868

8.  Computational enhancement of single-cell sequences for inferring tumor evolution.

Authors:  Sayaka Miura; Louise A Huuki; Tiffany Buturla; Tracy Vu; Karen Gomez; Sudhir Kumar
Journal:  Bioinformatics       Date:  2018-09-01       Impact factor: 6.937

9.  Single-cell transcriptomics uncovers distinct molecular signatures of stem cells in chronic myeloid leukemia.

Authors:  Alice Giustacchini; Supat Thongjuea; Nikolaos Barkas; Petter S Woll; Benjamin J Povinelli; Christopher A G Booth; Paul Sopp; Ruggiero Norfo; Alba Rodriguez-Meira; Neil Ashley; Lauren Jamieson; Paresh Vyas; Kristina Anderson; Åsa Segerstolpe; Hong Qian; Ulla Olsson-Strömberg; Satu Mustjoki; Rickard Sandberg; Sten Eirik W Jacobsen; Adam J Mead
Journal:  Nat Med       Date:  2017-05-15       Impact factor: 53.440

Review 10.  Advancing Cancer Research and Medicine with Single-Cell Genomics.

Authors:  Bora Lim; Yiyun Lin; Nicholas Navin
Journal:  Cancer Cell       Date:  2020-04-13       Impact factor: 31.743
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