Literature DB >> 24524134

The promise of single-cell sequencing.

James Eberwine, Jai-Yoon Sul, Tamas Bartfai, Junhyong Kim.   

Abstract

Mesh：

Year:  2014        PMID： 24524134     DOI： 10.1038/nmeth.2769

Source DB:  PubMed          Journal:  Nat Methods        ISSN： 1548-7091            Impact factor:   28.547


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  15 in total

1.  Digital RNA sequencing minimizes sequence-dependent bias and amplification noise with optimized single-molecule barcodes.

Authors:  Katsuyuki Shiroguchi; Tony Z Jia; Peter A Sims; X Sunney Xie
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-09       Impact factor: 11.205

2.  Organismal, genetic, and transcriptional variation in the deeply sequenced gut microbiomes of identical twins.

Authors:  Peter J Turnbaugh; Christopher Quince; Jeremiah J Faith; Alice C McHardy; Tanya Yatsunenko; Faheem Niazi; Jason Affourtit; Michael Egholm; Bernard Henrissat; Rob Knight; Jeffrey I Gordon
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-02       Impact factor: 11.205

3.  Modified mRNA directs the fate of heart progenitor cells and induces vascular regeneration after myocardial infarction.

Authors:  Lior Zangi; Kathy O Lui; Alexander von Gise; Qing Ma; Wataru Ebina; Leon M Ptaszek; Daniela Später; Huansheng Xu; Mohammadsharif Tabebordbar; Rostic Gorbatov; Brena Sena; Matthias Nahrendorf; David M Briscoe; Ronald A Li; Amy J Wagers; Derrick J Rossi; William T Pu; Kenneth R Chien
Journal:  Nat Biotechnol       Date:  2013-09-08       Impact factor: 54.908

4.  Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq.

Authors:  Saiful Islam; Una Kjällquist; Annalena Moliner; Pawel Zajac; Jian-Bing Fan; Peter Lönnerberg; Sten Linnarsson
Journal:  Genome Res       Date:  2011-05-04       Impact factor: 9.043

5.  CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.

Authors:  Tamar Hashimshony; Florian Wagner; Noa Sher; Itai Yanai
Journal:  Cell Rep       Date:  2012-08-30       Impact factor: 9.423

6.  RNA: state memory and mediator of cellular phenotype.

Authors:  Junhyong Kim; James Eberwine
Journal:  Trends Cell Biol       Date:  2010-04-09       Impact factor: 20.808

Review 7.  Perspectives on cell reprogramming with RNA.

Authors:  Jai-Yoon Sul; Tae Kyung Kim; Jae Hee Lee; James Eberwine
Journal:  Trends Biotechnol       Date:  2012-03-27       Impact factor: 19.536

8.  Tumour evolution inferred by single-cell sequencing.

Authors:  Nicholas Navin; Jude Kendall; Jennifer Troge; Peter Andrews; Linda Rodgers; Jeanne McIndoo; Kerry Cook; Asya Stepansky; Dan Levy; Diane Esposito; Lakshmi Muthuswamy; Alex Krasnitz; W Richard McCombie; James Hicks; Michael Wigler
Journal:  Nature       Date:  2011-03-13       Impact factor: 49.962

9.  Actin gene expression visualized in chicken muscle tissue culture by using in situ hybridization with a biotinated nucleotide analog.

Authors:  R H Singer; D C Ward
Journal:  Proc Natl Acad Sci U S A       Date:  1982-12       Impact factor: 11.205

10.  Efficient and robust RNA-seq process for cultured bacteria and complex community transcriptomes.

Authors:  Georgia Giannoukos; Dawn M Ciulla; Katherine Huang; Brian J Haas; Jacques Izard; Joshua Z Levin; Jonathan Livny; Ashlee M Earl; Dirk Gevers; Doyle V Ward; Chad Nusbaum; Bruce W Birren; Andreas Gnirke
Journal:  Genome Biol       Date:  2012       Impact factor: 13.583
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  99 in total

1.  Identification of Rare Variants in ATP8B4 as a Risk Factor for Systemic Sclerosis by Whole-Exome Sequencing.

Authors:  Li Gao; Mary J Emond; Tin Louie; Chris Cheadle; Alan E Berger; Nicholas Rafaels; Candelaria Vergara; Yoonhee Kim; Margaret A Taub; Ingo Ruczinski; Stephen C Mathai; Stephen S Rich; Deborah A Nickerson; Laura K Hummers; Michael J Bamshad; Paul M Hassoun; Rasika A Mathias; Kathleen C Barnes
Journal:  Arthritis Rheumatol       Date:  2016-01       Impact factor: 10.995

2.  Computational biology: How to catch rare cell types.

Authors:  Lu Wen; Fuchou Tang
Journal:  Nature       Date:  2015-08-19       Impact factor: 49.962

3.  Calibrating genomic and allelic coverage bias in single-cell sequencing.

Authors:  Cheng-Zhong Zhang; Viktor A Adalsteinsson; Joshua Francis; Hauke Cornils; Joonil Jung; Cecile Maire; Keith L Ligon; Matthew Meyerson; J Christopher Love
Journal:  Nat Commun       Date:  2015-04-16       Impact factor: 14.919

4.  Algorithmic methods to infer the evolutionary trajectories in cancer progression.

Authors:  Giulio Caravagna; Alex Graudenzi; Daniele Ramazzotti; Rebeca Sanz-Pamplona; Luca De Sano; Giancarlo Mauri; Victor Moreno; Marco Antoniotti; Bud Mishra
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-28       Impact factor: 11.205

5.  Screening of Chlamydomonas reinhardtii Populations with Single-Cell Resolution by Using a High-Throughput Microscale Sample Preparation for Matrix-Assisted Laser Desorption Ionization Mass Spectrometry.

Authors:  Jasmin Krismer; Jens Sobek; Robert F Steinhoff; Stephan R Fagerer; Martin Pabst; Renato Zenobi
Journal:  Appl Environ Microbiol       Date:  2015-06-05       Impact factor: 4.792

Review 6.  Inside single cells: quantitative analysis with advanced optics and nanomaterials.

Authors:  Yi Cui; Joseph Irudayaraj
Journal:  Wiley Interdiscip Rev Nanomed Nanobiotechnol       Date:  2014-11-27

7.  SIDEseq: A Cell Similarity Measure Defined by Shared Identified Differentially Expressed Genes for Single-Cell RNA sequencing Data.

Authors:  Courtney Schiffman; Christina Lin; Funan Shi; Luonan Chen; Lydia Sohn; Haiyan Huang
Journal:  Stat Biosci       Date:  2017-05-17

8.  A Bayesian model for single cell transcript expression analysis on MERFISH data.

Authors:  Johannes Köster; Myles Brown; X Shirley Liu
Journal:  Bioinformatics       Date:  2019-03-15       Impact factor: 6.937

9.  Predicting the functional states of human iPSC-derived neurons with single-cell RNA-seq and electrophysiology.

Authors:  C Bardy; M van den Hurk; B Kakaradov; J A Erwin; B N Jaeger; R V Hernandez; T Eames; A A Paucar; M Gorris; C Marchand; R Jappelli; J Barron; A K Bryant; M Kellogg; R S Lasken; B P F Rutten; H W M Steinbusch; G W Yeo; F H Gage
Journal:  Mol Psychiatry       Date:  2016-10-04       Impact factor: 15.992

Review 10.  Bioinformatic approaches to augment study of epithelial-to-mesenchymal transition in lung cancer.

Authors:  Tim N Beck; Adaeze J Chikwem; Nehal R Solanki; Erica A Golemis
Journal:  Physiol Genomics       Date:  2014-08-05       Impact factor: 3.107
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