Literature DB >> 22481528

Highly multiplexed and strand-specific single-cell RNA 5' end sequencing.

Saiful Islam1, Una Kjällquist, Annalena Moliner, Pawel Zajac, Jian-Bing Fan, Peter Lönnerberg, Sten Linnarsson.   

Abstract

Single-cell analysis of gene expression is increasingly important for the analysis of complex tissues, including cancer, developing organs and adult stem cell niches. Here we present a detailed protocol for quantitative gene expression analysis in single cells, by the sequencing of mRNA 5' ends. In all, 96 cells are lysed, and their mRNA is converted to cDNA. By using a template-switching mechanism, a bar code and an upstream primer-binding sequence are introduced simultaneously with reverse transcription. All cDNA is pooled and then prepared for 5' end sequencing, including fragmentation, adapter ligation and PCR amplification. The chief advantage of this approach is the great reduction in cost and time, afforded by the early bar-coding strategy. Compared with previous methods, it is more suitable for large-scale quantitative analysis, as well as for the characterization of transcription start sites, but it is unsuitable for the detection of alternatively spliced transcripts. Sample preparation takes 3 d, and two sets of 96 cells can be prepared in parallel. Finally, the sequencing and data analysis can take an additional 4 d altogether.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22481528     DOI: 10.1038/nprot.2012.022

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  25 in total

1.  Resolution of cell fate decisions revealed by single-cell gene expression analysis from zygote to blastocyst.

Authors:  Guoji Guo; Mikael Huss; Guo Qing Tong; Chaoyang Wang; Li Li Sun; Neil D Clarke; Paul Robson
Journal:  Dev Cell       Date:  2010-04-20       Impact factor: 12.270

2.  Method for single-cell microarray analysis and application to gene-expression profiling of GABAergic neuron progenitors.

Authors:  Shigeyuki Esumi; Sheng-Xi Wu; Yuchio Yanagawa; Kunihiko Obata; Yukihiko Sugimoto; Nobuaki Tamamaki
Journal:  Neurosci Res       Date:  2008-01-06       Impact factor: 3.304

Review 3.  Living with noisy genes: how cells function reliably with inherent variability in gene expression.

Authors:  Narendra Maheshri; Erin K O'Shea
Journal:  Annu Rev Biophys Biomol Struct       Date:  2007

4.  Quantitative analysis of gene expression in a single cell by qPCR.

Authors:  Kiyomi Taniguchi; Tomoharu Kajiyama; Hideki Kambara
Journal:  Nat Methods       Date:  2009-06-14       Impact factor: 28.547

5.  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

Review 6.  Non-genetic heterogeneity of cells in development: more than just noise.

Authors:  Sui Huang
Journal:  Development       Date:  2009-12       Impact factor: 6.868

7.  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

8.  Reverse transcriptase template switching: a SMART approach for full-length cDNA library construction.

Authors:  Y Y Zhu; E M Machleder; A Chenchik; R Li; P D Siebert
Journal:  Biotechniques       Date:  2001-04       Impact factor: 1.993

9.  Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.

Authors:  Ben Langmead; Cole Trapnell; Mihai Pop; Steven L Salzberg
Journal:  Genome Biol       Date:  2009-03-04       Impact factor: 13.583

10.  An improved single-cell cDNA amplification method for efficient high-density oligonucleotide microarray analysis.

Authors:  Kazuki Kurimoto; Yukihiro Yabuta; Yasuhide Ohinata; Yukiko Ono; Kenichiro D Uno; Rikuhiro G Yamada; Hiroki R Ueda; Mitinori Saitou
Journal:  Nucleic Acids Res       Date:  2006-03-17       Impact factor: 16.971

View more
  118 in total

Review 1.  Single-cell analysis of the transcriptome and its application in the characterization of stem cells and early embryos.

Authors:  Na Liu; Lin Liu; Xinghua Pan
Journal:  Cell Mol Life Sci       Date:  2014-03-21       Impact factor: 9.261

2.  RNA Sequencing and Analysis.

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

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

Authors:  Saiful Islam; Amit Zeisel; Simon Joost; Gioele La Manno; Pawel Zajac; Maria Kasper; Peter Lönnerberg; Sten Linnarsson
Journal:  Nat Methods       Date:  2013-12-22       Impact factor: 28.547

4.  Full-length RNA-seq from single cells using Smart-seq2.

Authors:  Simone Picelli; Omid R Faridani; Asa K Björklund; Gösta Winberg; Sven Sagasser; Rickard Sandberg
Journal:  Nat Protoc       Date:  2014-01-02       Impact factor: 13.491

5.  RNA-sequencing from single nuclei.

Authors:  Rashel V Grindberg; Joyclyn L Yee-Greenbaum; Michael J McConnell; Mark Novotny; Andy L O'Shaughnessy; Georgina M Lambert; Marcos J Araúzo-Bravo; Jun Lee; Max Fishman; Gillian E Robbins; Xiaoying Lin; Pratap Venepally; Jonathan H Badger; David W Galbraith; Fred H Gage; Roger S Lasken
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-18       Impact factor: 11.205

6.  T Cell-Dependent Affinity Maturation and Innate Immune Pathways Differentially Drive Autoreactive B Cell Responses in Rheumatoid Arthritis.

Authors:  Daniel R Lu; Andrew N McDavid; Sarah Kongpachith; Nithya Lingampalli; Jacob Glanville; Chia-Hsin Ju; Raphael Gottardo; William H Robinson
Journal:  Arthritis Rheumatol       Date:  2018-09-24       Impact factor: 10.995

Review 7.  Human Wound-Healing Research: Issues and Perspectives for Studies Using Wide-Scale Analytic Platforms.

Authors:  Kristo Nuutila; Shintaro Katayama; Jyrki Vuola; Esko Kankuri
Journal:  Adv Wound Care (New Rochelle)       Date:  2014-03-01       Impact factor: 4.730

8.  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

Review 9.  Revolutionizing immunology with single-cell RNA sequencing.

Authors:  Haide Chen; Fang Ye; Guoji Guo
Journal:  Cell Mol Immunol       Date:  2019-02-22       Impact factor: 11.530

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.