Literature DB >> 24363023

Quantitative single-cell RNA-seq with unique molecular identifiers.

Saiful Islam1, Amit Zeisel1, Simon Joost2, Gioele La Manno1, Pawel Zajac1, Maria Kasper2, Peter Lönnerberg1, Sten Linnarsson1.   

Abstract

Single-cell RNA sequencing (RNA-seq) is a powerful tool to reveal cellular heterogeneity, discover new cell types and characterize tumor microevolution. However, losses in cDNA synthesis and bias in cDNA amplification lead to severe quantitative errors. We show that molecular labels--random sequences that label individual molecules--can nearly eliminate amplification noise, and that microfluidic sample preparation and optimized reagents produce a fivefold improvement in mRNA capture efficiency.

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Year:  2013        PMID: 24363023     DOI: 10.1038/nmeth.2772

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


  24 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.  Counting absolute numbers of molecules using unique molecular identifiers.

Authors:  Teemu Kivioja; Anna Vähärautio; Kasper Karlsson; Martin Bonke; Martin Enge; Sten Linnarsson; Jussi Taipale
Journal:  Nat Methods       Date:  2011-11-20       Impact factor: 28.547

3.  Nanog safeguards pluripotency and mediates germline development.

Authors:  Ian Chambers; Jose Silva; Douglas Colby; Jennifer Nichols; Bianca Nijmeijer; Morag Robertson; Jan Vrana; Ken Jones; Lars Grotewold; Austin Smith
Journal:  Nature       Date:  2007-12-20       Impact factor: 49.962

4.  Mapping and quantifying mammalian transcriptomes by RNA-Seq.

Authors:  Ali Mortazavi; Brian A Williams; Kenneth McCue; Lorian Schaeffer; Barbara Wold
Journal:  Nat Methods       Date:  2008-05-30       Impact factor: 28.547

5.  Stem cell transcriptome profiling via massive-scale mRNA sequencing.

Authors:  Nicole Cloonan; Alistair R R Forrest; Gabriel Kolle; Brooke B A Gardiner; Geoffrey J Faulkner; Mellissa K Brown; Darrin F Taylor; Anita L Steptoe; Shivangi Wani; Graeme Bethel; Alan J Robertson; Andrew C Perkins; Stephen J Bruce; Clarence C Lee; Swati S Ranade; Heather E Peckham; Jonathan M Manning; Kevin J McKernan; Sean M Grimmond
Journal:  Nat Methods       Date:  2008-05-30       Impact factor: 28.547

6.  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

7.  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

8.  An in situ hybridization-based screen for heterogeneously expressed genes in mouse ES cells.

Authors:  Mark G Carter; Carole A Stagg; Geppino Falco; Toshiyuki Yoshikawa; Uwem C Bassey; Kazuhiro Aiba; Lioudmila V Sharova; Nabeebi Shaik; Minoru S H Ko
Journal:  Gene Expr Patterns       Date:  2007-11-04       Impact factor: 1.224

9.  Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells.

Authors:  Daniel Ramsköld; Shujun Luo; Yu-Chieh Wang; Robin Li; Qiaolin Deng; Omid R Faridani; Gregory A Daniels; Irina Khrebtukova; Jeanne F Loring; Louise C Laurent; Gary P Schroth; Rickard Sandberg
Journal:  Nat Biotechnol       Date:  2012-08       Impact factor: 54.908

10.  A method for counting PCR template molecules with application to next-generation sequencing.

Authors:  James A Casbon; Robert J Osborne; Sydney Brenner; Conrad P Lichtenstein
Journal:  Nucleic Acids Res       Date:  2011-04-13       Impact factor: 16.971

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  446 in total

Review 1.  Random monoallelic expression of autosomal genes: stochastic transcription and allele-level regulation.

Authors:  Björn Reinius; Rickard Sandberg
Journal:  Nat Rev Genet       Date:  2015-10-07       Impact factor: 53.242

Review 2.  Single-cell epigenomics: techniques and emerging applications.

Authors:  Omer Schwartzman; Amos Tanay
Journal:  Nat Rev Genet       Date:  2015-10-13       Impact factor: 53.242

3.  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 4.  Targeting vascular and leukocyte communication in angiogenesis, inflammation and fibrosis.

Authors:  Johan Kreuger; Mia Phillipson
Journal:  Nat Rev Drug Discov       Date:  2015-11-27       Impact factor: 84.694

Review 5.  Validation of ion channel targets.

Authors:  Aaron C Gerlach; Brett M Antonio
Journal:  Channels (Austin)       Date:  2015-11-10       Impact factor: 2.581

6.  The phosphatidylethanolamine biosynthesis pathway provides a new target for cancer chemotherapy.

Authors:  Yuan Guan; Xinyu Chen; Manhong Wu; Wan Zhu; Ahmed Arslan; Saori Takeda; Mindie H Nguyen; Ravindra Majeti; Dan Thomas; Ming Zheng; Gary Peltz
Journal:  J Hepatol       Date:  2019-11-22       Impact factor: 25.083

Review 7.  Single Cell RNA Sequencing in Atherosclerosis Research.

Authors:  Jesse W Williams; Holger Winkels; Christopher P Durant; Konstantin Zaitsev; Yanal Ghosheh; Klaus Ley
Journal:  Circ Res       Date:  2020-04-23       Impact factor: 17.367

Review 8.  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

9.  Estrogen receptor β, a regulator of androgen receptor signaling in the mouse ventral prostate.

Authors:  Wan-Fu Wu; Laure Maneix; Jose Insunza; Ivan Nalvarte; Per Antonson; Juha Kere; Nancy Yiu-Lin Yu; Virpi Tohonen; Shintaro Katayama; Elisabet Einarsdottir; Kaarel Krjutskov; Yu-Bing Dai; Bo Huang; Wen Su; Margaret Warner; Jan-Åke Gustafsson
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-24       Impact factor: 11.205

10.  Nonparametric expression analysis using inferential replicate counts.

Authors:  Anqi Zhu; Avi Srivastava; Joseph G Ibrahim; Rob Patro; Michael I Love
Journal:  Nucleic Acids Res       Date:  2019-10-10       Impact factor: 16.971

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