Literature DB >> 17662845

Genetic approaches to studying adenosine-to-inosine RNA editing.

James E C Jepson1, Robert A Reenan.   

Abstract

Increasing proteomic diversity via the hydrolytic deamination of adenosine to inosine (A-to-I) in select mRNA templates appears crucial to the correct functioning of the nervous system in several model organisms, including Drosophila, Caenorabditis elegans, and mice. The genome of the fruitfly, Drosophila melanogaster, contains a single gene encoding the enzyme responsible for deamination, termed ADAR (for adenosine deaminase acting on RNA). The mRNAs that form the substrates for ADAR primarily function in neuronal signaling, and, correspondingly, deletion of ADAR leads to severe nervous system defects. While several ADAR enzymes are present in mice, the presence of a single ADAR in Drosophila, combined with the diverse genetic toolkit available to researchers and the wide range of ADAR target mRNAs identified to date, make Drosophila an ideal organism to study the genetic basis of A-to-I RNA editing. This chapter describes a variety of methods for genetically manipulating Drosophila A-to-I editing both in time and space, as well as techniques to study the molecular basis of ADAR-mRNA interactions. A prerequisite for experiments in this field is the ability to quantify the levels of editing in a given mRNA. Therefore, several commonly used methods for the quantification of editing levels will also be described.

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Year:  2007        PMID: 17662845     DOI: 10.1016/S0076-6879(07)24012-1

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  4 in total

1.  Generation and characterization of new alleles of quiver (qvr) that encodes an extracellular modulator of the Shaker potassium channel.

Authors:  Hongyu Ruan; Atsushi Ueda; Xiaomin Xing; Xuxuan Wan; Benjamin Strub; Spencer Mukai; Kaan Certel; David Green; Kyle Belozerov; Wei-Dong Yao; Wayne Johnson; Jim Jung-Ching Lin; Arthur J Hilliker; Chun-Fang Wu
Journal:  J Neurogenet       Date:  2017-11-09       Impact factor: 1.250

2.  Quantitative Analysis of Adenosine-to-Inosine RNA Editing.

Authors:  Turnee N Malik; Jean-Philippe Cartailler; Ronald B Emeson
Journal:  Methods Mol Biol       Date:  2021

3.  The developmental transcriptome of Drosophila melanogaster.

Authors:  Brenton R Graveley; Angela N Brooks; Joseph W Carlson; Michael O Duff; Jane M Landolin; Li Yang; Carlo G Artieri; Marijke J van Baren; Nathan Boley; Benjamin W Booth; James B Brown; Lucy Cherbas; Carrie A Davis; Alex Dobin; Renhua Li; Wei Lin; John H Malone; Nicolas R Mattiuzzo; David Miller; David Sturgill; Brian B Tuch; Chris Zaleski; Dayu Zhang; Marco Blanchette; Sandrine Dudoit; Brian Eads; Richard E Green; Ann Hammonds; Lichun Jiang; Phil Kapranov; Laura Langton; Norbert Perrimon; Jeremy E Sandler; Kenneth H Wan; Aarron Willingham; Yu Zhang; Yi Zou; Justen Andrews; Peter J Bickel; Steven E Brenner; Michael R Brent; Peter Cherbas; Thomas R Gingeras; Roger A Hoskins; Thomas C Kaufman; Brian Oliver; Susan E Celniker
Journal:  Nature       Date:  2010-12-22       Impact factor: 49.962

4.  Antisense sequencing improves the accuracy and precision of A-to-I editing measurements using the peak height ratio method.

Authors:  Frank D Rinkevich; Peter A Schweitzer; Jeffrey G Scott
Journal:  BMC Res Notes       Date:  2012-01-24
  4 in total

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