Literature DB >> 28766293

Methods for the Detection of Adenosine-to-Inosine Editing Events in Cellular RNA.

Eimile Oakes1, Pranathi Vadlamani2, Heather A Hundley3.   

Abstract

Modification of RNA is essential for properly expressing the repertoire of RNA transcripts necessary for both cell type and developmental specific functions. RNA modifications serve to dynamically re-wire and fine-tune the genetic information carried by an invariable genome. One important type of RNA modification is RNA editing and the most common and well-studied type of RNA editing is the hydrolytic deamination of adenosine to inosine. Inosine is a biological mimic of guanosine; therefore, when RNA is reverse transcribed, inosine is recognized as guanosine by the reverse transcriptase and a cytidine is incorporated into the complementary DNA (cDNA) strand. During PCR amplification, guanosines pair with the newly incorporated cytidines. As a result, the adenosine-to-inosine (A-to-I) editing events are recognized as adenosine to guanosine changes when comparing the sequences of the genomic DNA to the cDNA. This chapter describes the methods for extracting endogenous RNA for subsequent analyses of A-to-I RNA editing using reverse transcriptase-based approaches. We discuss techniques for the detection of A-to-I RNA editing events in messenger RNA (mRNA), including analyzing editing levels at specific adenosines within the total pool of mRNA versus analyzing editing patterns that occur in individual transcripts and a method for detecting editing events across the entire transcriptome. The detection of RNA editing events and editing levels can be used to better understand normal biological processes and disease states.

Entities:  

Keywords:  A-to-I editing; ADARs; High-throughput sequencing; Inosine; RNA editing; RNA modifications; Transcriptome-wide sequencing

Mesh:

Substances:

Year:  2017        PMID: 28766293     DOI: 10.1007/978-1-4939-7204-3_9

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


  9 in total

1.  Chemical Profiling of A-to-I RNA Editing Using a Click-Compatible Phenylacrylamide.

Authors:  Steve D Knutson; Megan M Korn; Ryan P Johnson; Leanna R Monteleone; Deanna M Dailey; Colin S Swenson; Peter A Beal; Jennifer M Heemstra
Journal:  Chemistry       Date:  2020-06-17       Impact factor: 5.236

2.  Selective Enrichment of A-to-I Edited Transcripts from Cellular RNA Using Endonuclease V.

Authors:  Steve D Knutson; Robert A Arthur; H Richard Johnston; Jennifer M Heemstra
Journal:  J Am Chem Soc       Date:  2020-03-05       Impact factor: 15.419

Review 3.  Recent technical advances in the study of nucleic acid modifications.

Authors:  Michael C Owens; Celia Zhang; Kathy Fange Liu
Journal:  Mol Cell       Date:  2021-09-03       Impact factor: 19.328

4.  EndoVIPER-seq for Improved Detection of A-to-I Editing Sites in Cellular RNA.

Authors:  Steve D Knutson; Jennifer M Heemstra
Journal:  Curr Protoc Chem Biol       Date:  2020-06

Review 5.  A mark of disease: how mRNA modifications shape genetic and acquired pathologies.

Authors:  Eliana Destefanis; Gülben Avşar; Paula Groza; Antonia Romitelli; Serena Torrini; Pınar Pir; Silvestro G Conticello; Francesca Aguilo; Erik Dassi
Journal:  RNA       Date:  2020-12-29       Impact factor: 4.942

6.  Direct Immunodetection of Global A-to-I RNA Editing Activity with a Chemiluminescent Bioassay.

Authors:  Steve D Knutson; Robert A Arthur; H Richard Johnston; Jennifer M Heemstra
Journal:  Angew Chem Int Ed Engl       Date:  2021-06-28       Impact factor: 16.823

Review 7.  Analysis of RNA Modifications by Second- and Third-Generation Deep Sequencing: 2020 Update.

Authors:  Yuri Motorin; Virginie Marchand
Journal:  Genes (Basel)       Date:  2021-02-16       Impact factor: 4.096

Review 8.  A-to-I RNA Editing in Cancer: From Evaluating the Editing Level to Exploring the Editing Effects.

Authors:  Heming Wang; Sinuo Chen; Jiayi Wei; Guangqi Song; Yicheng Zhao
Journal:  Front Oncol       Date:  2021-02-11       Impact factor: 6.244

9.  Identification and initial characterization of POLIII-driven transcripts by msRNA-sequencing.

Authors:  Peter Zorn; Danny Misiak; Michael Gekle; Marcel Köhn
Journal:  RNA Biol       Date:  2021-01-18       Impact factor: 4.652

  9 in total

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