Literature DB >> 24141493

Quantitative assessment of single-cell RNA-sequencing methods.

Angela R Wu1, Norma F Neff1, Tomer Kalisky2, Piero Dalerba3, Barbara Treutlein1, Michael E Rothenberg4, Francis M Mburu5, Gary L Mantalas1, Sopheak Sim6, Michael F Clarke3, Stephen R Quake7.   

Abstract

Interest in single-cell whole-transcriptome analysis is growing rapidly, especially for profiling rare or heterogeneous populations of cells. We compared commercially available single-cell RNA amplification methods with both microliter and nanoliter volumes, using sequence from bulk total RNA and multiplexed quantitative PCR as benchmarks to systematically evaluate the sensitivity and accuracy of various single-cell RNA-seq approaches. We show that single-cell RNA-seq can be used to perform accurate quantitative transcriptome measurement in individual cells with a relatively small number of sequencing reads and that sequencing large numbers of single cells can recapitulate bulk transcriptome complexity.

Entities:  

Mesh:

Year:  2013        PMID: 24141493      PMCID: PMC4022966          DOI: 10.1038/nmeth.2694

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


  34 in total

1.  Amplification of cDNA ends based on template-switching effect and step-out PCR.

Authors:  M Matz; D Shagin; E Bogdanova; O Britanova; S Lukyanov; L Diatchenko; A Chenchik
Journal:  Nucleic Acids Res       Date:  1999-03-15       Impact factor: 16.971

2.  Novel isothermal, linear nucleic acid amplification systems for highly multiplexed applications.

Authors:  Nurith Kurn; Pengchin Chen; Joe Don Heath; Anne Kopf-Sill; Kathryn M Stephens; Shenglong Wang
Journal:  Clin Chem       Date:  2005-08-25       Impact factor: 8.327

3.  Gene expression profiling in single cells from the pancreatic islets of Langerhans reveals lognormal distribution of mRNA levels.

Authors:  Martin Bengtsson; Anders Ståhlberg; Patrik Rorsman; Mikael Kubista
Journal:  Genome Res       Date:  2005-10       Impact factor: 9.043

4.  CD47 is upregulated on circulating hematopoietic stem cells and leukemia cells to avoid phagocytosis.

Authors:  Siddhartha Jaiswal; Catriona H M Jamieson; Wendy W Pang; Christopher Y Park; Mark P Chao; Ravindra Majeti; David Traver; Nico van Rooijen; Irving L Weissman
Journal:  Cell       Date:  2009-07-23       Impact factor: 41.582

5.  Synthetic spike-in standards for RNA-seq experiments.

Authors:  Lichun Jiang; Felix Schlesinger; Carrie A Davis; Yu Zhang; Renhua Li; Marc Salit; Thomas R Gingeras; Brian Oliver
Journal:  Genome Res       Date:  2011-08-04       Impact factor: 9.043

6.  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

7.  The CD47-signal regulatory protein alpha (SIRPa) interaction is a therapeutic target for human solid tumors.

Authors:  Stephen B Willingham; Jens-Peter Volkmer; Andrew J Gentles; Debashis Sahoo; Piero Dalerba; Siddhartha S Mitra; Jian Wang; Humberto Contreras-Trujillo; Robin Martin; Justin D Cohen; Patricia Lovelace; Ferenc A Scheeren; Mark P Chao; Kipp Weiskopf; Chad Tang; Anne Kathrin Volkmer; Tejaswitha J Naik; Theresa A Storm; Adriane R Mosley; Badreddin Edris; Seraina M Schmid; Chris K Sun; Mei-Sze Chua; Oihana Murillo; Pradeep Rajendran; Adriel C Cha; Robert K Chin; Dongkyoon Kim; Maddalena Adorno; Tal Raveh; Diane Tseng; Siddhartha Jaiswal; Per Øyvind Enger; Gary K Steinberg; Gordon Li; Samuel K So; Ravindra Majeti; Griffith R Harsh; Matt van de Rijn; Nelson N H Teng; John B Sunwoo; Ash A Alizadeh; Michael F Clarke; Irving L Weissman
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-26       Impact factor: 11.205

8.  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

9.  Detection of splice junctions from paired-end RNA-seq data by SpliceMap.

Authors:  Kin Fai Au; Hui Jiang; Lan Lin; Yi Xing; Wing Hung Wong
Journal:  Nucleic Acids Res       Date:  2010-04-05       Impact factor: 16.971

10.  TopHat: discovering splice junctions with RNA-Seq.

Authors:  Cole Trapnell; Lior Pachter; Steven L Salzberg
Journal:  Bioinformatics       Date:  2009-03-16       Impact factor: 6.937

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  314 in total

Review 1.  Nanotechnologies for biomedical science and translational medicine.

Authors:  James R Heath
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-24       Impact factor: 11.205

2.  Evaluation of commercially available RNA amplification kits for RNA sequencing using very low input amounts of total RNA.

Authors:  Savita Shanker; Ariel Paulson; Howard J Edenberg; Allison Peak; Anoja Perera; Yuriy O Alekseyev; Nicholas Beckloff; Nathan J Bivens; Robert Donnelly; Allison F Gillaspy; Deborah Grove; Weikuan Gu; Nadereh Jafari; Joanna S Kerley-Hamilton; Robert H Lyons; Clifford Tepper; Charles M Nicolet
Journal:  J Biomol Tech       Date:  2015-04

3.  RNA Sequencing and Analysis.

Authors:  Kimberly R Kukurba; Stephen B Montgomery
Journal:  Cold Spring Harb Protoc       Date:  2015-04-13

4.  Harnessing Next Generation Sequencing in Climate Change: RNA-Seq Analysis of Heat Stress-Responsive Genes in Wheat (Triticum aestivum L.).

Authors:  Ranjeet R Kumar; Suneha Goswami; Sushil K Sharma; Yugal K Kala; Gyanendra K Rai; Dwijesh C Mishra; Monendra Grover; Gyanendra P Singh; Himanshu Pathak; Anil Rai; Viswanathan Chinnusamy; Raj D Rai
Journal:  OMICS       Date:  2015-09-25

5.  West Nile Virus-Inclusive Single-Cell RNA Sequencing Reveals Heterogeneity in the Type I Interferon Response within Single Cells.

Authors:  Justin T O'Neal; Amit A Upadhyay; Amber Wolabaugh; Nirav B Patel; Steven E Bosinger; Mehul S Suthar
Journal:  J Virol       Date:  2019-03-05       Impact factor: 5.103

Review 6.  Advances in Transcriptomics: Investigating Cardiovascular Disease at Unprecedented Resolution.

Authors:  Robert C Wirka; Milos Pjanic; Thomas Quertermous
Journal:  Circ Res       Date:  2018-04-27       Impact factor: 17.367

7.  Extraction of Hemocytes from Drosophila melanogaster Larvae for Microbial Infection and Analysis.

Authors:  Aoi Hiroyasu; David C DeWitt; Alan G Goodman
Journal:  J Vis Exp       Date:  2018-05-24       Impact factor: 1.355

8.  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

9.  Single-Cell RNA Sequencing Reveals Expanded Clones of Islet Antigen-Reactive CD4+ T Cells in Peripheral Blood of Subjects with Type 1 Diabetes.

Authors:  Karen Cerosaletti; Fariba Barahmand-Pour-Whitman; Junbao Yang; Hannah A DeBerg; Matthew J Dufort; Sara A Murray; Elisabeth Israelsson; Cate Speake; Vivian H Gersuk; James A Eddy; Helena Reijonen; Carla J Greenbaum; William W Kwok; Erik Wambre; Martin Prlic; Raphael Gottardo; Gerald T Nepom; Peter S Linsley
Journal:  J Immunol       Date:  2017-05-31       Impact factor: 5.422

10.  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

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