Literature DB >> 22015844

Low-bias, strand-specific transcriptome Illumina sequencing by on-flowcell reverse transcription (FRT-seq).

Lira Mamanova1, Daniel J Turner.   

Abstract

The unifying feature of second-generation sequencing technologies is that single template strands are amplified clonally onto a solid surface prior to the sequencing reaction. To convert template strands into a compatible state for attachment to this surface, a multistep library preparation is required, which typically culminates in amplification by the PCR. PCR is an inherently biased process, which decreases the efficiency of data acquisition. Flowcell reverse transcription sequencing is a method of transcriptome sequencing for Illumina sequencers in which the reverse transcription reaction is performed on the flowcell by using unamplified, adapter-ligated mRNA as a template. This approach removes PCR biases and duplicates, generates strand-specific paired-end data and is highly reproducible. The procedure can be performed quickly, taking 2 d to generate clusters from mRNA.

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Year:  2011        PMID: 22015844     DOI: 10.1038/nprot.2011.399

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


  19 in total

1.  RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays.

Authors:  John C Marioni; Christopher E Mason; Shrikant M Mane; Matthew Stephens; Yoav Gilad
Journal:  Genome Res       Date:  2008-06-11       Impact factor: 9.043

2.  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

3.  Direct RNA sequencing.

Authors:  Fatih Ozsolak; Adam R Platt; Dan R Jones; Jeffrey G Reifenberger; Lauryn E Sass; Peter McInerney; John F Thompson; Jayson Bowers; Mirna Jarosz; Patrice M Milos
Journal:  Nature       Date:  2009-09-23       Impact factor: 49.962

4.  A high-resolution map of transcription in the yeast genome.

Authors:  Lior David; Wolfgang Huber; Marina Granovskaia; Joern Toedling; Curtis J Palm; Lee Bofkin; Ted Jones; Ronald W Davis; Lars M Steinmetz
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-28       Impact factor: 11.205

5.  Highly integrated single-base resolution maps of the epigenome in Arabidopsis.

Authors:  Ryan Lister; Ronan C O'Malley; Julian Tonti-Filippini; Brian D Gregory; Charles C Berry; A Harvey Millar; Joseph R Ecker
Journal:  Cell       Date:  2008-05-02       Impact factor: 41.582

Review 6.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

7.  Quantification of the yeast transcriptome by single-molecule sequencing.

Authors:  Doron Lipson; Tal Raz; Alix Kieu; Daniel R Jones; Eldar Giladi; Edward Thayer; John F Thompson; Stan Letovsky; Patrice Milos; Marie Causey
Journal:  Nat Biotechnol       Date:  2009-07-05       Impact factor: 54.908

8.  The transcriptional landscape of the mammalian genome.

Authors:  P Carninci; T Kasukawa; S Katayama; J Gough; M C Frith; N Maeda; R Oyama; T Ravasi; B Lenhard; C Wells; R Kodzius; K Shimokawa; V B Bajic; S E Brenner; S Batalov; A R R Forrest; M Zavolan; M J Davis; L G Wilming; V Aidinis; J E Allen; A Ambesi-Impiombato; R Apweiler; R N Aturaliya; T L Bailey; M Bansal; L Baxter; K W Beisel; T Bersano; H Bono; A M Chalk; K P Chiu; V Choudhary; A Christoffels; D R Clutterbuck; M L Crowe; E Dalla; B P Dalrymple; B de Bono; G Della Gatta; D di Bernardo; T Down; P Engstrom; M Fagiolini; G Faulkner; C F Fletcher; T Fukushima; M Furuno; S Futaki; M Gariboldi; P Georgii-Hemming; T R Gingeras; T Gojobori; R E Green; S Gustincich; M Harbers; Y Hayashi; T K Hensch; N Hirokawa; D Hill; L Huminiecki; M Iacono; K Ikeo; A Iwama; T Ishikawa; M Jakt; A Kanapin; M Katoh; Y Kawasawa; J Kelso; H Kitamura; H Kitano; G Kollias; S P T Krishnan; A Kruger; S K Kummerfeld; I V Kurochkin; L F Lareau; D Lazarevic; L Lipovich; J Liu; S Liuni; S McWilliam; M Madan Babu; M Madera; L Marchionni; H Matsuda; S Matsuzawa; H Miki; F Mignone; S Miyake; K Morris; S Mottagui-Tabar; N Mulder; N Nakano; H Nakauchi; P Ng; R Nilsson; S Nishiguchi; S Nishikawa; F Nori; O Ohara; Y Okazaki; V Orlando; K C Pang; W J Pavan; G Pavesi; G Pesole; N Petrovsky; S Piazza; J Reed; J F Reid; B Z Ring; M Ringwald; B Rost; Y Ruan; S L Salzberg; A Sandelin; C Schneider; C Schönbach; K Sekiguchi; C A M Semple; S Seno; L Sessa; Y Sheng; Y Shibata; H Shimada; K Shimada; D Silva; B Sinclair; S Sperling; E Stupka; K Sugiura; R Sultana; Y Takenaka; K Taki; K Tammoja; S L Tan; S Tang; M S Taylor; J Tegner; S A Teichmann; H R Ueda; E van Nimwegen; R Verardo; C L Wei; K Yagi; H Yamanishi; E Zabarovsky; S Zhu; A Zimmer; W Hide; C Bult; S M Grimmond; R D Teasdale; E T Liu; V Brusic; J Quackenbush; C Wahlestedt; J S Mattick; D A Hume; C Kai; D Sasaki; Y Tomaru; S Fukuda; M Kanamori-Katayama; M Suzuki; J Aoki; T Arakawa; J Iida; K Imamura; M Itoh; T Kato; H Kawaji; N Kawagashira; T Kawashima; M Kojima; S Kondo; H Konno; K Nakano; N Ninomiya; T Nishio; M Okada; C Plessy; K Shibata; T Shiraki; S Suzuki; M Tagami; K Waki; A Watahiki; Y Okamura-Oho; H Suzuki; J Kawai; Y Hayashizaki
Journal:  Science       Date:  2005-09-02       Impact factor: 47.728

9.  Transcriptome analysis by strand-specific sequencing of complementary DNA.

Authors:  Dmitri Parkhomchuk; Tatiana Borodina; Vyacheslav Amstislavskiy; Maria Banaru; Linda Hallen; Sylvia Krobitsch; Hans Lehrach; Alexey Soldatov
Journal:  Nucleic Acids Res       Date:  2009-07-20       Impact factor: 16.971

10.  Dynamic repertoire of a eukaryotic transcriptome surveyed at single-nucleotide resolution.

Authors:  Brian T Wilhelm; Samuel Marguerat; Stephen Watt; Falk Schubert; Valerie Wood; Ian Goodhead; Christopher J Penkett; Jane Rogers; Jürg Bähler
Journal:  Nature       Date:  2008-05-18       Impact factor: 49.962

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  12 in total

Review 1.  The Antisense Transcriptome and the Human Brain.

Authors:  James D Mills; Bei Jun Chen; Uwe Ueberham; Thomas Arendt; Michael Janitz
Journal:  J Mol Neurosci       Date:  2015-12-23       Impact factor: 3.444

2.  Strand-Specific RNA-Seq Provides Greater Resolution of Transcriptome Profiling.

Authors:  James Dominic Mills; Yoshihiro Kawahara; Michael Janitz
Journal:  Curr Genomics       Date:  2013-05       Impact factor: 2.236

3.  An efficient method for genome-wide polyadenylation site mapping and RNA quantification.

Authors:  Stefan Wilkening; Vicent Pelechano; Aino I Järvelin; Manu M Tekkedil; Simon Anders; Vladimir Benes; Lars M Steinmetz
Journal:  Nucleic Acids Res       Date:  2013-01-07       Impact factor: 16.971

4.  Characterization of natural antisense transcript, sclerotia development and secondary metabolism by strand-specific RNA sequencing of Aspergillus flavus.

Authors:  Xinliang Wu; Bin Zhou; Chao Yin; Yong Guo; Ying Lin; Li Pan; Bin Wang
Journal:  PLoS One       Date:  2014-05-21       Impact factor: 3.240

Review 5.  Analysis of plant microbe interactions in the era of next generation sequencing technologies.

Authors:  Claudia Knief
Journal:  Front Plant Sci       Date:  2014-05-21       Impact factor: 5.753

6.  RNA-seq analysis of the influence of anaerobiosis and FNR on Shigella flexneri.

Authors:  Marta Vergara-Irigaray; Maria C Fookes; Nicholas R Thomson; Christoph M Tang
Journal:  BMC Genomics       Date:  2014-06-06       Impact factor: 3.969

7.  An optimized kit-free method for making strand-specific deep sequencing libraries from RNA fragments.

Authors:  Erin E Heyer; Hakan Ozadam; Emiliano P Ricci; Can Cenik; Melissa J Moore
Journal:  Nucleic Acids Res       Date:  2014-12-12       Impact factor: 16.971

8.  Evidence classification of high-throughput protocols and confidence integration in RegulonDB.

Authors:  Verena Weiss; Alejandra Medina-Rivera; Araceli M Huerta; Alberto Santos-Zavaleta; Heladia Salgado; Enrique Morett; Julio Collado-Vides
Journal:  Database (Oxford)       Date:  2013-01-17       Impact factor: 3.451

9.  Extent, causes, and consequences of small RNA expression variation in human adipose tissue.

Authors:  Leopold Parts; Åsa K Hedman; Sarah Keildson; Andrew J Knights; Cei Abreu-Goodger; Martijn van de Bunt; José Afonso Guerra-Assunção; Nenad Bartonicek; Stijn van Dongen; Reedik Mägi; James Nisbet; Amy Barrett; Mattias Rantalainen; Alexandra C Nica; Michael A Quail; Kerrin S Small; Daniel Glass; Anton J Enright; John Winn; Panos Deloukas; Emmanouil T Dermitzakis; Mark I McCarthy; Timothy D Spector; Richard Durbin; Cecilia M Lindgren
Journal:  PLoS Genet       Date:  2012-05-10       Impact factor: 5.917

Review 10.  DNA sequencing methods in human genetics and disease research.

Authors:  Hans Lehrach
Journal:  F1000Prime Rep       Date:  2013-09-02
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