Literature DB >> 25060758

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

Dhanashree S Kelkar1, Elayne Provost2, Raghothama Chaerkady3, Babylakshmi Muthusamy4, Srikanth S Manda5, Tejaswini Subbannayya1, Lakshmi Dhevi N Selvan1, Chieh-Huei Wang3, Keshava K Datta6, Sunghee Woo7, Sutopa B Dwivedi1, Santosh Renuse1, Derese Getnet3, Tai-Chung Huang3, Min-Sik Kim8, Sneha M Pinto9, Christopher J Mitchell3, Anil K Madugundu10, Praveen Kumar10, Jyoti Sharma11, Jayshree Advani10, Gourav Dey11, Lavanya Balakrishnan12, Nazia Syed13, Vishalakshi Nanjappa1, Yashwanth Subbannayya10, Renu Goel10, T S Keshava Prasad14, Vineet Bafna7, Ravi Sirdeshmukh10, Harsha Gowda10, Charles Wang15, Steven D Leach16, Akhilesh Pandey17.   

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.
© 2014 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2014        PMID: 25060758      PMCID: PMC4223501          DOI: 10.1074/mcp.M114.038299

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  30 in total

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2.  A proteogenomic approach to map the proteome of an unsequenced pathogen - Leishmania donovani.

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Journal:  Proteomics       Date:  2012-03       Impact factor: 3.984

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Journal:  Nature       Date:  2011-05-19       Impact factor: 49.962

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Journal:  Nat Protoc       Date:  2012-03-01       Impact factor: 13.491

5.  Systematic identification of long noncoding RNAs expressed during zebrafish embryogenesis.

Authors:  Andrea Pauli; Eivind Valen; Michael F Lin; Manuel Garber; Nadine L Vastenhouw; Joshua Z Levin; Lin Fan; Albin Sandelin; John L Rinn; Aviv Regev; Alexander F Schier
Journal:  Genome Res       Date:  2011-11-22       Impact factor: 9.043

6.  Proteogenomic analysis of Mycobacterium tuberculosis by high resolution mass spectrometry.

Authors:  Dhanashree S Kelkar; Dhirendra Kumar; Praveen Kumar; Lavanya Balakrishnan; Babylakshmi Muthusamy; Amit Kumar Yadav; Priyanka Shrivastava; Arivusudar Marimuthu; Sridhar Anand; Hema Sundaram; Reena Kingsbury; H C Harsha; Bipin Nair; T S Keshava Prasad; Devendra Singh Chauhan; Kiran Katoch; Vishwa Mohan Katoch; Prahlad Kumar; Raghothama Chaerkady; Srinivasan Ramachandran; Debasis Dash; Akhilesh Pandey
Journal:  Mol Cell Proteomics       Date:  2011-10-03       Impact factor: 5.911

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Journal:  J Proteome Res       Date:  2011-12-13       Impact factor: 4.466

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Authors:  Elena S Peterson; Lee Ann McCue; Alexandra C Schrimpe-Rutledge; Jeffrey L Jensen; Hyunjoo Walker; Markus A Kobold; Samantha R Webb; Samuel H Payne; Charles Ansong; Joshua N Adkins; William R Cannon; Bobbie-Jo M Webb-Robertson
Journal:  BMC Genomics       Date:  2012-04-05       Impact factor: 3.969

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Journal:  Nucleic Acids Res       Date:  2011-11-03       Impact factor: 16.971

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Journal:  Bioinformatics       Date:  2012-04-27       Impact factor: 6.937

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8.  Mapping Anopheles stephensi midgut proteome using high-resolution mass spectrometry.

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