title: Identifying RNA editing sites using RNA sequencing data alone.
abstract: We show that RNA editing sites can be called with high confidence using RNA sequencing data from multiple samples across either individuals or species, without the need for matched genomic DNA sequence. We identified many previously unidentified editing sites in both humans and Drosophila; our results nearly double the known number of human protein recoding events. We also found that human genes harboring conserved editing sites within Alu repeats are enriched for neuronal functions.
authors.affiliation: Department of Genetics, Stanford University, Stanford, California, USA.
authors.forename: Gokul
authors.initials: G
authors.lastname: Ramaswami
authors.forename: Rui
authors.initials: R
authors.lastname: Zhang
authors.forename: Robert
authors.initials: R
authors.lastname: Piskol
authors.forename: Liam P
authors.initials: LP
authors.lastname: Keegan
authors.forename: Patricia
authors.initials: P
authors.lastname: Deng
authors.forename: Mary A
authors.initials: MA
authors.lastname: O'Connell
authors.forename: Jin Billy
authors.initials: JB
authors.lastname: Li
mesh_terms: D000241:Adenosine / Q000235:genetics; D020087:Alu Elements; D000818:Animals; D019295:Computational Biology / Q000379:methods; D004331:Drosophila melanogaster / Q000235:genetics; D006801:Humans; D007288:Inosine / Q000235:genetics; D017393:RNA Editing; D017423:Sequence Analysis, RNA / Q000379:methods*
chemical_list: D007288:Inosine; D000241:Adenosine