Literature DB >> 22130986

Detection of RNA editing events in human cells using high-throughput sequencing.

Iouri Chepelev1.   

Abstract

RNA editing can lead to amino acid substitutions in protein sequences, alternative pre-mRNA splicing, and changes in gene expression levels. The exact in vivo modes of interaction of the RNA editing enzymes with their targets are not well understood. Alterations in RNA editing have been linked to various human disorders and the improved understanding of the editing mechanism and specificity can explain the phenotypes that result from misregulation of RNA editing. Unbiased high-throughput methods of detection of RNA editing events genome-wide in human cells are necessary for the task of deciphering the RNA editing regulatory code. With the rapidly falling cost of genome resequencing, the future method of choice for the detection of RNA editing events will be whole-genome gDNA and cDNA sequencing. We describe a detailed procedure for the computational identification of RNA editing targets using the data from the deep sequencing of DNA and RNA from the peripheral blood mononuclear cells of a human individual with severe hemophilia A who is resistant to HIV infection. Interestingly, we find that mRNAs of the cyclin-dependent kinase CDK13 and the DNA repair enzyme NEIL1 undergo extensive A → I RNA editing that leads to amino acid substitutions in protein sequences.

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Year:  2012        PMID: 22130986      PMCID: PMC4184133          DOI: 10.1007/978-1-61779-424-7_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  23 in total

1.  Cross-mapping and the identification of editing sites in mature microRNAs in high-throughput sequencing libraries.

Authors:  Michiel J L de Hoon; Ryan J Taft; Takehiro Hashimoto; Mutsumi Kanamori-Katayama; Hideya Kawaji; Mitsuoki Kawano; Mami Kishima; Timo Lassmann; Geoffrey J Faulkner; John S Mattick; Carsten O Daub; Piero Carninci; Jun Kawai; Harukazu Suzuki; Yoshihide Hayashizaki
Journal:  Genome Res       Date:  2010-01-05       Impact factor: 9.043

Review 2.  Sequencing technologies - the next generation.

Authors:  Michael L Metzker
Journal:  Nat Rev Genet       Date:  2009-12-08       Impact factor: 53.242

3.  Screening the human exome: a comparison of whole genome and whole transcriptome sequencing.

Authors:  Elizabeth T Cirulli; Abanish Singh; Kevin V Shianna; Dongliang Ge; Jason P Smith; Jessica M Maia; Erin L Heinzen; James J Goedert; David B Goldstein
Journal:  Genome Biol       Date:  2010-05-28       Impact factor: 13.583

Review 4.  Molecular diversity through RNA editing: a balancing act.

Authors:  Sanaz Farajollahi; Stefan Maas
Journal:  Trends Genet       Date:  2010-04-13       Impact factor: 11.639

5.  DARNED: a DAtabase of RNa EDiting in humans.

Authors:  Anmol Kiran; Pavel V Baranov
Journal:  Bioinformatics       Date:  2010-06-14       Impact factor: 6.937

Review 6.  Functions and regulation of RNA editing by ADAR deaminases.

Authors:  Kazuko Nishikura
Journal:  Annu Rev Biochem       Date:  2010       Impact factor: 23.643

7.  A map of human genome variation from population-scale sequencing.

Authors:  Gonçalo R Abecasis; David Altshuler; Adam Auton; Lisa D Brooks; Richard M Durbin; Richard A Gibbs; Matt E Hurles; Gil A McVean
Journal:  Nature       Date:  2010-10-28       Impact factor: 49.962

8.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

9.  BEDTools: a flexible suite of utilities for comparing genomic features.

Authors:  Aaron R Quinlan; Ira M Hall
Journal:  Bioinformatics       Date:  2010-01-28       Impact factor: 6.937

10.  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

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  6 in total

1.  Base-pairing probability in the microRNA stem region affects the binding and editing specificity of human A-to-I editing enzymes ADAR1-p110 and ADAR2.

Authors:  Soh Ishiguro; Josephine Galipon; Rintaro Ishii; Yutaka Suzuki; Shinji Kondo; Mariko Okada-Hatakeyama; Masaru Tomita; Kumiko Ui-Tei
Journal:  RNA Biol       Date:  2018-07-24       Impact factor: 4.652

Review 2.  Analysis of the transcriptome in molecular epidemiology studies.

Authors:  Cliona M McHale; Luoping Zhang; Reuben Thomas; Martyn T Smith
Journal:  Environ Mol Mutagen       Date:  2013-08-01       Impact factor: 3.216

3.  Extensive pathogenicity of mitochondrial heteroplasmy in healthy human individuals.

Authors:  Kaixiong Ye; Jian Lu; Fei Ma; Alon Keinan; Zhenglong Gu
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-07       Impact factor: 11.205

4.  A novel computational strategy to identify A-to-I RNA editing sites by RNA-Seq data: de novo detection in human spinal cord tissue.

Authors:  Ernesto Picardi; Angela Gallo; Federica Galeano; Sara Tomaselli; Graziano Pesole
Journal:  PLoS One       Date:  2012-09-05       Impact factor: 3.240

5.  RED: A Java-MySQL Software for Identifying and Visualizing RNA Editing Sites Using Rule-Based and Statistical Filters.

Authors:  Yongmei Sun; Xing Li; Di Wu; Qi Pan; Yuefeng Ji; Hong Ren; Keyue Ding
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

6.  An integrated DNA and RNA variant detector identifies a highly conserved three base exon in the MAP4K5 kinase locus.

Authors:  Małgorzata Kurkowiak; Giuseppa Grasso; Jakub Faktor; Lisa Scheiblecker; Małgorzata Winniczuk; Marcos Yebenes Mayordomo; J Robert O'Neill; Bodil Oster; Borek Vojtesek; Ali Al-Saadi; Natalia Marek-Trzonkowska; Ted R Hupp
Journal:  RNA Biol       Date:  2021-06-30       Impact factor: 4.652

  6 in total

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