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Proteogenomic Analysis of Mycobacterium tuberculosis By High Resolution Mass Spectrometry
The genome sequencing of H37Rv strain of Mycobacterium tuberculosis was completed in 1998 followed by the whole genome sequencing of a clinical isolate, CDC1551 in 2002. Since then, the genomic sequences of a number of other strains have become available making it one of the better studied pathogeni...
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Published in: | Molecular & cellular proteomics 2011-12, Vol.10 (12), p.M111.011627, Article M111.011445 |
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creator | Kelkar, Dhanashree S. Kumar, Dhirendra Kumar, Praveen Balakrishnan, Lavanya Muthusamy, Babylakshmi Yadav, Amit Kumar Shrivastava, Priyanka Marimuthu, Arivusudar Anand, Sridhar Sundaram, Hema Kingsbury, Reena Harsha, H.C. Nair, Bipin Prasad, T. S. Keshava Chauhan, Devendra Singh Katoch, Kiran Katoch, Vishwa Mohan Kumar, Prahlad Chaerkady, Raghothama Ramachandran, Srinivasan Dash, Debasis Pandey, Akhilesh |
description | The genome sequencing of H37Rv strain of Mycobacterium tuberculosis was completed in 1998 followed by the whole genome sequencing of a clinical isolate, CDC1551 in 2002. Since then, the genomic sequences of a number of other strains have become available making it one of the better studied pathogenic bacterial species at the genomic level. However, annotation of its genome remains challenging because of high GC content and dissimilarity to other model prokaryotes. To this end, we carried out an in-depth proteogenomic analysis of the M. tuberculosis H37Rv strain using Fourier transform mass spectrometry with high resolution at both MS and tandem MS levels. In all, we identified 3176 proteins from Mycobacterium tuberculosis representing ∼80% of its total predicted gene count. In addition to protein database search, we carried out a genome database search, which led to identification of ∼250 novel peptides. Based on these novel genome search-specific peptides, we discovered 41 novel protein coding genes in the H37Rv genome. Using peptide evidence and alternative gene prediction tools, we also corrected 79 gene models. Finally, mass spectrometric data from N terminus-derived peptides confirmed 727 existing annotations for translational start sites while correcting those for 33 proteins. We report creation of a high confidence set of protein coding regions in Mycobacterium tuberculosis genome obtained by high resolution tandem mass-spectrometry at both precursor and fragment detection steps for the first time. This proteogenomic approach should be generally applicable to other organisms whose genomes have already been sequenced for obtaining a more accurate catalogue of protein-coding genes. |
doi_str_mv | 10.1074/mcp.M111.011627 |
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S. Keshava ; Chauhan, Devendra Singh ; Katoch, Kiran ; Katoch, Vishwa Mohan ; Kumar, Prahlad ; Chaerkady, Raghothama ; Ramachandran, Srinivasan ; Dash, Debasis ; Pandey, Akhilesh</creator><creatorcontrib>Kelkar, Dhanashree S. ; Kumar, Dhirendra ; Kumar, Praveen ; Balakrishnan, Lavanya ; Muthusamy, Babylakshmi ; Yadav, Amit Kumar ; Shrivastava, Priyanka ; Marimuthu, Arivusudar ; Anand, Sridhar ; Sundaram, Hema ; Kingsbury, Reena ; Harsha, H.C. ; Nair, Bipin ; Prasad, T. S. Keshava ; Chauhan, Devendra Singh ; Katoch, Kiran ; Katoch, Vishwa Mohan ; Kumar, Prahlad ; Chaerkady, Raghothama ; Ramachandran, Srinivasan ; Dash, Debasis ; Pandey, Akhilesh</creatorcontrib><description>The genome sequencing of H37Rv strain of Mycobacterium tuberculosis was completed in 1998 followed by the whole genome sequencing of a clinical isolate, CDC1551 in 2002. Since then, the genomic sequences of a number of other strains have become available making it one of the better studied pathogenic bacterial species at the genomic level. However, annotation of its genome remains challenging because of high GC content and dissimilarity to other model prokaryotes. To this end, we carried out an in-depth proteogenomic analysis of the M. tuberculosis H37Rv strain using Fourier transform mass spectrometry with high resolution at both MS and tandem MS levels. In all, we identified 3176 proteins from Mycobacterium tuberculosis representing ∼80% of its total predicted gene count. In addition to protein database search, we carried out a genome database search, which led to identification of ∼250 novel peptides. Based on these novel genome search-specific peptides, we discovered 41 novel protein coding genes in the H37Rv genome. Using peptide evidence and alternative gene prediction tools, we also corrected 79 gene models. Finally, mass spectrometric data from N terminus-derived peptides confirmed 727 existing annotations for translational start sites while correcting those for 33 proteins. We report creation of a high confidence set of protein coding regions in Mycobacterium tuberculosis genome obtained by high resolution tandem mass-spectrometry at both precursor and fragment detection steps for the first time. This proteogenomic approach should be generally applicable to other organisms whose genomes have already been sequenced for obtaining a more accurate catalogue of protein-coding genes.</description><identifier>ISSN: 1535-9476</identifier><identifier>EISSN: 1535-9484</identifier><identifier>DOI: 10.1074/mcp.M111.011627</identifier><identifier>PMID: 21969609</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Algorithms ; Amino Acid Sequence ; Bacterial Proteins - chemistry ; Bacterial Proteins - genetics ; Bacterial Proteins - metabolism ; Chaperonin 60 - chemistry ; Chaperonin 60 - metabolism ; Codon, Initiator ; Fourier Analysis ; Mass Spectrometry ; Molecular Sequence Annotation ; Molecular Sequence Data ; Molecular Weight ; Mycobacterium tuberculosis - genetics ; Mycobacterium tuberculosis - metabolism ; Open Reading Frames ; Peptide Fragments - chemistry ; Protein Sorting Signals ; Proteomics ; Search Engine</subject><ispartof>Molecular & cellular proteomics, 2011-12, Vol.10 (12), p.M111.011627, Article M111.011445</ispartof><rights>2011 © 2011 ASBMB. Currently published by Elsevier Inc; originally published by American Society for Biochemistry and Molecular Biology.</rights><rights>2011 by The American Society for Biochemistry and Molecular Biology, Inc. 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c480t-3cbcd1153a3ee25452de0efb5344d93c21029ede6b4413bc998a2da77a7553633</citedby><cites>FETCH-LOGICAL-c480t-3cbcd1153a3ee25452de0efb5344d93c21029ede6b4413bc998a2da77a7553633</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3275902/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S153594762030582X$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,3549,27924,27925,45780,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21969609$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kelkar, Dhanashree S.</creatorcontrib><creatorcontrib>Kumar, Dhirendra</creatorcontrib><creatorcontrib>Kumar, Praveen</creatorcontrib><creatorcontrib>Balakrishnan, Lavanya</creatorcontrib><creatorcontrib>Muthusamy, Babylakshmi</creatorcontrib><creatorcontrib>Yadav, Amit Kumar</creatorcontrib><creatorcontrib>Shrivastava, Priyanka</creatorcontrib><creatorcontrib>Marimuthu, Arivusudar</creatorcontrib><creatorcontrib>Anand, Sridhar</creatorcontrib><creatorcontrib>Sundaram, Hema</creatorcontrib><creatorcontrib>Kingsbury, Reena</creatorcontrib><creatorcontrib>Harsha, H.C.</creatorcontrib><creatorcontrib>Nair, Bipin</creatorcontrib><creatorcontrib>Prasad, T. S. Keshava</creatorcontrib><creatorcontrib>Chauhan, Devendra Singh</creatorcontrib><creatorcontrib>Katoch, Kiran</creatorcontrib><creatorcontrib>Katoch, Vishwa Mohan</creatorcontrib><creatorcontrib>Kumar, Prahlad</creatorcontrib><creatorcontrib>Chaerkady, Raghothama</creatorcontrib><creatorcontrib>Ramachandran, Srinivasan</creatorcontrib><creatorcontrib>Dash, Debasis</creatorcontrib><creatorcontrib>Pandey, Akhilesh</creatorcontrib><title>Proteogenomic Analysis of Mycobacterium tuberculosis By High Resolution Mass Spectrometry</title><title>Molecular & cellular proteomics</title><addtitle>Mol Cell Proteomics</addtitle><description>The genome sequencing of H37Rv strain of Mycobacterium tuberculosis was completed in 1998 followed by the whole genome sequencing of a clinical isolate, CDC1551 in 2002. Since then, the genomic sequences of a number of other strains have become available making it one of the better studied pathogenic bacterial species at the genomic level. However, annotation of its genome remains challenging because of high GC content and dissimilarity to other model prokaryotes. To this end, we carried out an in-depth proteogenomic analysis of the M. tuberculosis H37Rv strain using Fourier transform mass spectrometry with high resolution at both MS and tandem MS levels. In all, we identified 3176 proteins from Mycobacterium tuberculosis representing ∼80% of its total predicted gene count. In addition to protein database search, we carried out a genome database search, which led to identification of ∼250 novel peptides. Based on these novel genome search-specific peptides, we discovered 41 novel protein coding genes in the H37Rv genome. Using peptide evidence and alternative gene prediction tools, we also corrected 79 gene models. Finally, mass spectrometric data from N terminus-derived peptides confirmed 727 existing annotations for translational start sites while correcting those for 33 proteins. We report creation of a high confidence set of protein coding regions in Mycobacterium tuberculosis genome obtained by high resolution tandem mass-spectrometry at both precursor and fragment detection steps for the first time. 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Keshava</creatorcontrib><creatorcontrib>Chauhan, Devendra Singh</creatorcontrib><creatorcontrib>Katoch, Kiran</creatorcontrib><creatorcontrib>Katoch, Vishwa Mohan</creatorcontrib><creatorcontrib>Kumar, Prahlad</creatorcontrib><creatorcontrib>Chaerkady, Raghothama</creatorcontrib><creatorcontrib>Ramachandran, Srinivasan</creatorcontrib><creatorcontrib>Dash, Debasis</creatorcontrib><creatorcontrib>Pandey, Akhilesh</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Molecular & cellular proteomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kelkar, Dhanashree S.</au><au>Kumar, Dhirendra</au><au>Kumar, Praveen</au><au>Balakrishnan, Lavanya</au><au>Muthusamy, Babylakshmi</au><au>Yadav, Amit Kumar</au><au>Shrivastava, Priyanka</au><au>Marimuthu, Arivusudar</au><au>Anand, Sridhar</au><au>Sundaram, Hema</au><au>Kingsbury, Reena</au><au>Harsha, H.C.</au><au>Nair, Bipin</au><au>Prasad, T. S. Keshava</au><au>Chauhan, Devendra Singh</au><au>Katoch, Kiran</au><au>Katoch, Vishwa Mohan</au><au>Kumar, Prahlad</au><au>Chaerkady, Raghothama</au><au>Ramachandran, Srinivasan</au><au>Dash, Debasis</au><au>Pandey, Akhilesh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Proteogenomic Analysis of Mycobacterium tuberculosis By High Resolution Mass Spectrometry</atitle><jtitle>Molecular & cellular proteomics</jtitle><addtitle>Mol Cell Proteomics</addtitle><date>2011-12-01</date><risdate>2011</risdate><volume>10</volume><issue>12</issue><spage>M111.011627</spage><pages>M111.011627-</pages><artnum>M111.011445</artnum><issn>1535-9476</issn><eissn>1535-9484</eissn><abstract>The genome sequencing of H37Rv strain of Mycobacterium tuberculosis was completed in 1998 followed by the whole genome sequencing of a clinical isolate, CDC1551 in 2002. Since then, the genomic sequences of a number of other strains have become available making it one of the better studied pathogenic bacterial species at the genomic level. However, annotation of its genome remains challenging because of high GC content and dissimilarity to other model prokaryotes. To this end, we carried out an in-depth proteogenomic analysis of the M. tuberculosis H37Rv strain using Fourier transform mass spectrometry with high resolution at both MS and tandem MS levels. In all, we identified 3176 proteins from Mycobacterium tuberculosis representing ∼80% of its total predicted gene count. In addition to protein database search, we carried out a genome database search, which led to identification of ∼250 novel peptides. Based on these novel genome search-specific peptides, we discovered 41 novel protein coding genes in the H37Rv genome. Using peptide evidence and alternative gene prediction tools, we also corrected 79 gene models. Finally, mass spectrometric data from N terminus-derived peptides confirmed 727 existing annotations for translational start sites while correcting those for 33 proteins. We report creation of a high confidence set of protein coding regions in Mycobacterium tuberculosis genome obtained by high resolution tandem mass-spectrometry at both precursor and fragment detection steps for the first time. This proteogenomic approach should be generally applicable to other organisms whose genomes have already been sequenced for obtaining a more accurate catalogue of protein-coding genes.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>21969609</pmid><doi>10.1074/mcp.M111.011627</doi><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Amino Acid Sequence Bacterial Proteins - chemistry Bacterial Proteins - genetics Bacterial Proteins - metabolism Chaperonin 60 - chemistry Chaperonin 60 - metabolism Codon, Initiator Fourier Analysis Mass Spectrometry Molecular Sequence Annotation Molecular Sequence Data Molecular Weight Mycobacterium tuberculosis - genetics Mycobacterium tuberculosis - metabolism Open Reading Frames Peptide Fragments - chemistry Protein Sorting Signals Proteomics Search Engine |
title | Proteogenomic Analysis of Mycobacterium tuberculosis By High Resolution Mass Spectrometry |
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