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  4. Annotation of the zebrafish genome through an integrated transcriptomic and proteomic analysis
 
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Annotation of the zebrafish genome through an integrated transcriptomic and proteomic analysis

Journal
Molecular and Cellular Proteomics
Journal Volume
13
Journal Issue
11
Pages
3184-3198
Date Issued
2014
Author(s)
Kelkar D.S.
Provost E.
Chaerkady R.
Muthusamy B.
Manda S.S.
Subbannayya T.
Selvan L.D.N.
Wang C.-H.
Datta K.K.
Woo S.
Dwivedi S.B.
Renuse S.
Getnet D.
TAI-CHUNG HUANG  
Kim M.-S.
Pinto S.M.
Mitchell C.J.
Madugundu A.K.
Kumar P.
Sharma J.
Advani J.
Dey G.
Balakrishnan L.
Syed N.
Nanjappa V.
Subbannayya Y.
Goel R.
Prasad T.S.K.
Bafna V.
Sirdeshmukh R.
Gowda H.
Wangbc C.
Leach S.D.
Pandey A.
DOI
10.1074/mcp.M114.038299
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84910647485&doi=10.1074%2fmcp.M114.038299&partnerID=40&md5=eba6b53c56b235ae295bfc93644e344f
https://scholars.lib.ntu.edu.tw/handle/123456789/517221
Abstract
Accurate annotation of protein-coding genes is one of the primary tasks upon the completion of whole genome sequencing of any organism. In this study, we used an integrated transcriptomic and proteomic strategy to validate and improve the existing zebrafish genome annotation. We undertook high-resolution mass-spectrometry-based proteomic profiling of 10 adult organs, whole adult fish body, and two developmental stages of zebrafish (SAT line), in addition to transcriptomic profiling of six organs. More than 7,000 proteins were identified from proteomic analyses, and ∼ 69,000 high-confidence transcripts were assembled from the RNA sequencing data. Approximately 15% of the transcripts mapped to intergenic regions, the majority of which are likely long non-coding RNAs. These high-quality transcriptomic and proteomic data were used to manually reannotate the zebrafish genome. We report the identification of 157 novel protein-coding genes. In addition, our data led to modification of existing gene structures including novel exons, changes in exon coordinates, changes in frame of translation, translation in annotated UTRs, and joining of genes. Finally, we discovered four instances of genome assembly errors that were supported by both proteomic and transcriptomic data. Our study shows how an integrative analysis of the transcriptome and the proteome can extend our understanding of even well-annotated genomes.
SDGs

[SDGs]SDG14

Publisher
American Society for Biochemistry and Molecular Biology Inc.
Type
journal article

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