Automated de novo Sequencing of Proteins by Tandem High-Resolution Mass Spectrometry
A de novo sequencing program for proteins is described that uses tandem MS data from electron capture dissociation and collisionally activated dissociation of electrosprayed protein ions. Computer automation is used to convert the fragment ion mass values derived from these spectra into the most pro...
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Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2000-09, Vol.97 (19), p.10313-10317 |
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description | A de novo sequencing program for proteins is described that uses tandem MS data from electron capture dissociation and collisionally activated dissociation of electrosprayed protein ions. Computer automation is used to convert the fragment ion mass values derived from these spectra into the most probable protein sequence, without distinguishing Leu/Ile. Minimum human input is necessary for the data reduction and interpretation. No extra chemistry is necessary to distinguish N- and C-terminal fragments in the mass spectra, as this is determined from the electron capture dissociation data. With parts-per-million mass accuracy (now available by using higher field Fourier transform MS instruments), the complete sequences of ubiquitin (8.6 kDa) and melittin (2.8 kDa) were predicted correctly by the program. The data available also provided 91% of the cytochrome c(12.4 kDa) sequence (essentially complete except for the tandem MS-resistant region K13V20that contains the cyclic heme). Uncorrected mass values from a 6-T instrument still gave 86% of the sequence for ubiquitin, except for distinguishing Gln/Lys. Extensive sequencing of larger proteins should be possible by applying the algorithm to pieces of ≈ 10-kDa size, such as products of limited proteolysis. |
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Computer automation is used to convert the fragment ion mass values derived from these spectra into the most probable protein sequence, without distinguishing Leu/Ile. Minimum human input is necessary for the data reduction and interpretation. No extra chemistry is necessary to distinguish N- and C-terminal fragments in the mass spectra, as this is determined from the electron capture dissociation data. With parts-per-million mass accuracy (now available by using higher field Fourier transform MS instruments), the complete sequences of ubiquitin (8.6 kDa) and melittin (2.8 kDa) were predicted correctly by the program. The data available also provided 91% of the cytochrome c(12.4 kDa) sequence (essentially complete except for the tandem MS-resistant region K13V20that contains the cyclic heme). Uncorrected mass values from a 6-T instrument still gave 86% of the sequence for ubiquitin, except for distinguishing Gln/Lys. Extensive sequencing of larger proteins should be possible by applying the algorithm to pieces of ≈ 10-kDa size, such as products of limited proteolysis.</description><identifier>ISSN: 0027-8424</identifier><identifier>EISSN: 1091-6490</identifier><identifier>DOI: 10.1073/pnas.97.19.10313</identifier><identifier>PMID: 10984529</identifier><language>eng</language><publisher>United States: National Academy of Sciences of the United States of America</publisher><subject>Algorithms ; Amino Acid Sequence ; Amino acids ; Chemistry ; Computer aided design ; Cytochrome c Group - chemistry ; Cytochromes ; Humans ; Ions ; Mass Spectrometry - methods ; Mass spectroscopy ; Molecular Sequence Data ; Molecular spectra ; Physical Sciences ; Proteins ; Sequence Analysis, Protein - methods ; Sequence Homology, Amino Acid ; Sequencing ; Ubiquitins</subject><ispartof>Proceedings of the National Academy of Sciences - PNAS, 2000-09, Vol.97 (19), p.10313-10317</ispartof><rights>Copyright 1993-2000 National Academy of Sciences of the United States of America</rights><rights>Copyright National Academy of Sciences Sep 12, 2000</rights><rights>Copyright © 2000, The National Academy of Sciences 2000</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c494t-322303bc41e735bd75bca2ad8deaed92e9d9d7604862ef4abdd1cac434bafe723</citedby><cites>FETCH-LOGICAL-c494t-322303bc41e735bd75bca2ad8deaed92e9d9d7604862ef4abdd1cac434bafe723</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.pnas.org/content/97/19.cover.gif</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/123557$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/123557$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,723,776,780,799,881,27901,27902,53766,53768,57992,58225</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10984529$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Horn, David M.</creatorcontrib><creatorcontrib>Zubarev, Roman A.</creatorcontrib><creatorcontrib>McLafferty, Fred W.</creatorcontrib><title>Automated de novo Sequencing of Proteins by Tandem High-Resolution Mass Spectrometry</title><title>Proceedings of the National Academy of Sciences - PNAS</title><addtitle>Proc Natl Acad Sci U S A</addtitle><description>A de novo sequencing program for proteins is described that uses tandem MS data from electron capture dissociation and collisionally activated dissociation of electrosprayed protein ions. Computer automation is used to convert the fragment ion mass values derived from these spectra into the most probable protein sequence, without distinguishing Leu/Ile. Minimum human input is necessary for the data reduction and interpretation. No extra chemistry is necessary to distinguish N- and C-terminal fragments in the mass spectra, as this is determined from the electron capture dissociation data. With parts-per-million mass accuracy (now available by using higher field Fourier transform MS instruments), the complete sequences of ubiquitin (8.6 kDa) and melittin (2.8 kDa) were predicted correctly by the program. The data available also provided 91% of the cytochrome c(12.4 kDa) sequence (essentially complete except for the tandem MS-resistant region K13V20that contains the cyclic heme). Uncorrected mass values from a 6-T instrument still gave 86% of the sequence for ubiquitin, except for distinguishing Gln/Lys. Extensive sequencing of larger proteins should be possible by applying the algorithm to pieces of ≈ 10-kDa size, such as products of limited proteolysis.</description><subject>Algorithms</subject><subject>Amino Acid Sequence</subject><subject>Amino acids</subject><subject>Chemistry</subject><subject>Computer aided design</subject><subject>Cytochrome c Group - chemistry</subject><subject>Cytochromes</subject><subject>Humans</subject><subject>Ions</subject><subject>Mass Spectrometry - methods</subject><subject>Mass spectroscopy</subject><subject>Molecular Sequence Data</subject><subject>Molecular spectra</subject><subject>Physical Sciences</subject><subject>Proteins</subject><subject>Sequence Analysis, Protein - methods</subject><subject>Sequence Homology, Amino Acid</subject><subject>Sequencing</subject><subject>Ubiquitins</subject><issn>0027-8424</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU1vEzEQhi0EoqFwR0ICiwPissFfG68lLlVVKFIRiIaz5bVn04127dT2VuTf1yEBAgdO1mieZzyjF6HnlMwpkfzdxps0V3JOVak55Q_QjBJFq4VQ5CGaEcJk1QgmTtCTlNaEEFU35DE6KVAjaqZmaHk25TCaDA47wD7cBXwNtxN42_sVDh3-GkOG3ifcbvHSeAcjvuxXN9U3SGGYch88_mxSwtcbsDmGEXLcPkWPOjMkeHZ4T9H3DxfL88vq6svHT-dnV5UVSuSKM8YJb62gIHndOlm31jDjGgcGnGKgnHJyQUSzYNAJ0zpHrbGCi9Z0IBk_Re_3czdTO4Kz4HM0g97EfjRxq4Pp9d8d39_oVbjTTBJGiv7moMdQTk5Zj32yMAzGQ5iSlowtSCNUAV__A67DFH05TTNCuRKq2UFkD9kYUorQ_d6DEr1LS-_S0kpqqvTPtIry8nj_I2EfTwHeHoCd-qt9NEJ30zBk-JEL-ur_aCFe7Il1yiH--Yzxupb8HiQQtLw</recordid><startdate>20000912</startdate><enddate>20000912</enddate><creator>Horn, David M.</creator><creator>Zubarev, Roman A.</creator><creator>McLafferty, Fred W.</creator><general>National Academy of Sciences of the United States of America</general><general>National Acad Sciences</general><general>National Academy of Sciences</general><general>The National Academy of Sciences</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20000912</creationdate><title>Automated de novo Sequencing of Proteins by Tandem High-Resolution Mass Spectrometry</title><author>Horn, David M. ; 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Computer automation is used to convert the fragment ion mass values derived from these spectra into the most probable protein sequence, without distinguishing Leu/Ile. Minimum human input is necessary for the data reduction and interpretation. No extra chemistry is necessary to distinguish N- and C-terminal fragments in the mass spectra, as this is determined from the electron capture dissociation data. With parts-per-million mass accuracy (now available by using higher field Fourier transform MS instruments), the complete sequences of ubiquitin (8.6 kDa) and melittin (2.8 kDa) were predicted correctly by the program. The data available also provided 91% of the cytochrome c(12.4 kDa) sequence (essentially complete except for the tandem MS-resistant region K13V20that contains the cyclic heme). Uncorrected mass values from a 6-T instrument still gave 86% of the sequence for ubiquitin, except for distinguishing Gln/Lys. 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subjects | Algorithms Amino Acid Sequence Amino acids Chemistry Computer aided design Cytochrome c Group - chemistry Cytochromes Humans Ions Mass Spectrometry - methods Mass spectroscopy Molecular Sequence Data Molecular spectra Physical Sciences Proteins Sequence Analysis, Protein - methods Sequence Homology, Amino Acid Sequencing Ubiquitins |
title | Automated de novo Sequencing of Proteins by Tandem High-Resolution Mass Spectrometry |
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