Literature DB >> 34085236

An Informatics Pipeline for Profiling and Annotating RNA Modifications.

Qi Liu1,2, Xiaoqiang Lang3, Richard I Gregory4,5,6,7,8.   

Abstract

While over 150 distinct types of chemical modifications are known to occur on various cellular RNAs and can be dynamically controlled, the function of most of these modifications remains poorly defined. Collectively, these RNA modifications have been recently termed the "epitranscriptome". Identification and annotation of individual RNA modifications throughout the transcriptome are key for studying the role of the epitranscriptome in the regulation of gene expression and for elucidating the functional relevance of particular RNA modifications in diverse physiological and disease processes. In this protocol, we demonstrate how to identify and annotate RNA modifications based on the informatic analysis of methylated RNA immunoprecipitation and sequencing (MeRIP-seq) data, using RNAmod, a convenient one-stop online interactive platform for the annotation, analysis, and visualization of mRNA modifications.

Keywords:  Annotation; Epitranscriptome; Identification; MeRIP-seq; RBP; RNA modification; RNA-binding protein; Software; Tool; Web server

Year:  2021        PMID: 34085236     DOI: 10.1007/978-1-0716-1374-0_2

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


  24 in total

Review 1.  Where, When, and How: Context-Dependent Functions of RNA Methylation Writers, Readers, and Erasers.

Authors:  Hailing Shi; Jiangbo Wei; Chuan He
Journal:  Mol Cell       Date:  2019-05-16       Impact factor: 17.970

Review 2.  Detecting RNA modifications in the epitranscriptome: predict and validate.

Authors:  Mark Helm; Yuri Motorin
Journal:  Nat Rev Genet       Date:  2017-02-20       Impact factor: 53.242

Review 3.  Epitranscriptomics: regulation of mRNA metabolism through modifications.

Authors:  Eyal Peer; Gideon Rechavi; Dan Dominissini
Journal:  Curr Opin Chem Biol       Date:  2017-11-07       Impact factor: 8.822

4.  Transcriptome-wide Mapping of Internal N7-Methylguanosine Methylome in Mammalian mRNA.

Authors:  Li-Sheng Zhang; Chang Liu; Honghui Ma; Qing Dai; Hui-Lung Sun; Guanzheng Luo; Zijie Zhang; Linda Zhang; Lulu Hu; Xueyang Dong; Chuan He
Journal:  Mol Cell       Date:  2019-04-25       Impact factor: 17.970

5.  [Results of treatment for functional dysphonia].

Authors:  J Wendler
Journal:  Folia Phoniatr (Basel)       Date:  1966

Review 6.  Epitranscriptomic Code and Its Alterations in Human Disease.

Authors:  Rajashekar Varma Kadumuri; Sarath Chandra Janga
Journal:  Trends Mol Med       Date:  2018-08-14       Impact factor: 11.951

7.  Acetylation of Cytidine in mRNA Promotes Translation Efficiency.

Authors:  Daniel Arango; David Sturgill; Najwa Alhusaini; Allissa A Dillman; Thomas J Sweet; Gavin Hanson; Masaki Hosogane; Wilson R Sinclair; Kyster K Nanan; Mariana D Mandler; Stephen D Fox; Thomas T Zengeya; Thorkell Andresson; Jordan L Meier; Jeffery Coller; Shalini Oberdoerffer
Journal:  Cell       Date:  2018-11-15       Impact factor: 41.582

8.  Base-Resolution Mapping Reveals Distinct m1A Methylome in Nuclear- and Mitochondrial-Encoded Transcripts.

Authors:  Xiaoyu Li; Xushen Xiong; Meiling Zhang; Kun Wang; Ying Chen; Jun Zhou; Yuanhui Mao; Jia Lv; Danyang Yi; Xiao-Wei Chen; Chu Wang; Shu-Bing Qian; Chengqi Yi
Journal:  Mol Cell       Date:  2017-11-05       Impact factor: 17.970

Review 9.  The m6A epitranscriptome: transcriptome plasticity in brain development and function.

Authors:  Ido Livneh; Sharon Moshitch-Moshkovitz; Ninette Amariglio; Gideon Rechavi; Dan Dominissini
Journal:  Nat Rev Neurosci       Date:  2019-12-05       Impact factor: 34.870

10.  mRNA circularization by METTL3-eIF3h enhances translation and promotes oncogenesis.

Authors:  Junho Choe; Shuibin Lin; Wencai Zhang; Qi Liu; Longfei Wang; Julia Ramirez-Moya; Peng Du; Wantae Kim; Shaojun Tang; Piotr Sliz; Pilar Santisteban; Rani E George; William G Richards; Kwok-Kin Wong; Nicolas Locker; Frank J Slack; Richard I Gregory
Journal:  Nature       Date:  2018-09-19       Impact factor: 49.962

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