Literature DB >> 26513670

TARDIS, a targeted RNA directional sequencing method for rare RNA discovery.

Maximiliano M Portal1, Valeria Pavet1, Cathie Erb1, Hinrich Gronemeyer1.   

Abstract

High-throughput transcriptional analysis has unveiled a myriad of novel RNAs. However, technical constraints in RNA sequencing library preparation and platform performance hamper the identification of rare transcripts contained within the RNA repertoire. Herein we present targeted-RNA directional sequencing (TARDIS), a hybridization-based method that allows subsets of RNAs contained within the transcriptome to be interrogated independently of transcript length, function, the presence or absence of poly-A tracts, or the mechanism of biogenesis. TARDIS is a modular protocol that is subdivided into four main phases, including the generation of random DNA traps covering the region of interest, purification of input RNA material, DNA trap-based RNA capture, and finally RNA-sequencing library construction. Importantly, coupling RNA capture to strand-specific RNA sequencing enables robust identification and reconstruction of novel transcripts, the definition of sense and antisense RNA pairs and, by the concomitant analysis of long and natural small RNA pools, it allows the user to infer potential precursor-product relations. TARDIS takes ∼10 d to implement.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26513670     DOI: 10.1038/nprot.2015.120

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


  38 in total

1.  A comparison between ribo-minus RNA-sequencing and polyA-selected RNA-sequencing.

Authors:  Peng Cui; Qiang Lin; Feng Ding; Chengqi Xin; Wei Gong; Lingfang Zhang; Jianing Geng; Bing Zhang; Xiaomin Yu; Jin Yang; Songnian Hu; Jun Yu
Journal:  Genomics       Date:  2010-08-03       Impact factor: 5.736

Review 2.  Target-enrichment strategies for next-generation sequencing.

Authors:  Lira Mamanova; Alison J Coffey; Carol E Scott; Iwanka Kozarewa; Emily H Turner; Akash Kumar; Eleanor Howard; Jay Shendure; Daniel J Turner
Journal:  Nat Methods       Date:  2010-02       Impact factor: 28.547

3.  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

4.  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

5.  An update on recent methods applied for deciphering the diversity of the noncoding RNA genome structure and function.

Authors:  Salvatore Spicuglia; Muhammad Ahmad Maqbool; Denis Puthier; Jean-Christophe Andrau
Journal:  Methods       Date:  2013-04-15       Impact factor: 3.608

6.  Zinc-mediated RNA fragmentation allows robust transcript reassembly upon whole transcriptome RNA-Seq.

Authors:  Maxime Wery; Marc Descrimes; Claude Thermes; Daniel Gautheret; Antonin Morillon
Journal:  Methods       Date:  2013-03-21       Impact factor: 3.608

7.  Biases in Illumina transcriptome sequencing caused by random hexamer priming.

Authors:  Kasper D Hansen; Steven E Brenner; Sandrine Dudoit
Journal:  Nucleic Acids Res       Date:  2010-04-14       Impact factor: 16.971

8.  Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences.

Authors:  Jeremy Goecks; Anton Nekrutenko; James Taylor
Journal:  Genome Biol       Date:  2010-08-25       Impact factor: 13.583

9.  Antisense artifacts in transcriptome microarray experiments are resolved by actinomycin D.

Authors:  Fabiana Perocchi; Zhenyu Xu; Sandra Clauder-Münster; Lars M Steinmetz
Journal:  Nucleic Acids Res       Date:  2007-09-26       Impact factor: 16.971

10.  TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.

Authors:  Daehwan Kim; Geo Pertea; Cole Trapnell; Harold Pimentel; Ryan Kelley; Steven L Salzberg
Journal:  Genome Biol       Date:  2013-04-25       Impact factor: 13.583

View more
  3 in total

Review 1.  Advances and Trends in Omics Technology Development.

Authors:  Xiaofeng Dai; Li Shen
Journal:  Front Med (Lausanne)       Date:  2022-07-01

Review 2.  RNA-Seq methods for transcriptome analysis.

Authors:  Radmila Hrdlickova; Masoud Toloue; Bin Tian
Journal:  Wiley Interdiscip Rev RNA       Date:  2016-05-19       Impact factor: 9.957

3.  ORF Capture-Seq as a versatile method for targeted identification of full-length isoforms.

Authors:  Gloria M Sheynkman; Katharine S Tuttle; Florent Laval; Elizabeth Tseng; Jason G Underwood; Liang Yu; Da Dong; Melissa L Smith; Robert Sebra; Luc Willems; Tong Hao; Michael A Calderwood; David E Hill; Marc Vidal
Journal:  Nat Commun       Date:  2020-05-11       Impact factor: 14.919

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.