A new strategy for MS/MS data acquisition applying multiple data dependent experiments on Orbitrap mass spectrometers in non-targeted metabolomic applications
The annotation and identification of metabolites is a current bottleneck in non-targeted metabolomics studies. Although accurate measurement of m/z is applied routinely in UPLC–MS applications to putatively annotate metabolites, the acquisition of MS/MS or MS n data is required to deduce structural...
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creator | Mullard, Graham Allwood, James W. Weber, Ralf Brown, Marie Begley, Paul Hollywood, Katherine A. Jones, Martin Unwin, Richard D. Bishop, Paul N. Cooper, Garth J. S. Dunn, Warwick B. |
description | The annotation and identification of metabolites is a current bottleneck in non-targeted metabolomics studies. Although accurate measurement of
m/z
is applied routinely in UPLC–MS applications to putatively annotate metabolites, the acquisition of MS/MS or MS
n
data is required to deduce structural information, further reducing the chemical search-space and providing greater confidence in metabolite annotation by comparison to mass spectral databases. Here we propose an innovative new strategy for data dependent acquisition (DDA) for on-line MS/MS data acquisition in parallel to full-scan metabolite profiling on LTQ-Orbitrap mass spectrometers. We recommend the application of different and integrated DDA MS/MS experiments to increase the coverage of unique metabolites for which MS/MS data were acquired. We demonstrate, for the first time, that the integrated application of both CID and higher-energy collisional dissociation ion activation methods, multiple different activation energies and narrow precursor ion
m/z
ranges of 100 or 300 for acquisition of MS/MS spectra provide complementary information and increases the number of unique metabolites for which MS/MS data is acquired. The strategies herein provide a different approach for data acquisition to increase the number of unique MS/MS mass spectra acquired for metabolite annotation purposes in non-targeted metabolomics studies. MS/MS data are available on request from the corresponding author. |
doi_str_mv | 10.1007/s11306-014-0763-6 |
format | Article |
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m/z
is applied routinely in UPLC–MS applications to putatively annotate metabolites, the acquisition of MS/MS or MS
n
data is required to deduce structural information, further reducing the chemical search-space and providing greater confidence in metabolite annotation by comparison to mass spectral databases. Here we propose an innovative new strategy for data dependent acquisition (DDA) for on-line MS/MS data acquisition in parallel to full-scan metabolite profiling on LTQ-Orbitrap mass spectrometers. We recommend the application of different and integrated DDA MS/MS experiments to increase the coverage of unique metabolites for which MS/MS data were acquired. We demonstrate, for the first time, that the integrated application of both CID and higher-energy collisional dissociation ion activation methods, multiple different activation energies and narrow precursor ion
m/z
ranges of 100 or 300 for acquisition of MS/MS spectra provide complementary information and increases the number of unique metabolites for which MS/MS data is acquired. The strategies herein provide a different approach for data acquisition to increase the number of unique MS/MS mass spectra acquired for metabolite annotation purposes in non-targeted metabolomics studies. MS/MS data are available on request from the corresponding author.</description><identifier>ISSN: 1573-3882</identifier><identifier>EISSN: 1573-3890</identifier><identifier>DOI: 10.1007/s11306-014-0763-6</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Biochemistry ; Biomedical and Life Sciences ; Biomedicine ; Cell Biology ; Developmental Biology ; Life Sciences ; Molecular Medicine ; Original Article</subject><ispartof>Metabolomics, 2015-10, Vol.11 (5), p.1068-1080</ispartof><rights>Springer Science+Business Media New York 2014</rights><rights>Springer Science+Business Media New York 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c452t-e8db8b68459bfd5b4622d1e0c847fca6bd63fd0ca2524aba2b3ea4a6e657cca83</citedby><cites>FETCH-LOGICAL-c452t-e8db8b68459bfd5b4622d1e0c847fca6bd63fd0ca2524aba2b3ea4a6e657cca83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11306-014-0763-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11306-014-0763-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Mullard, Graham</creatorcontrib><creatorcontrib>Allwood, James W.</creatorcontrib><creatorcontrib>Weber, Ralf</creatorcontrib><creatorcontrib>Brown, Marie</creatorcontrib><creatorcontrib>Begley, Paul</creatorcontrib><creatorcontrib>Hollywood, Katherine A.</creatorcontrib><creatorcontrib>Jones, Martin</creatorcontrib><creatorcontrib>Unwin, Richard D.</creatorcontrib><creatorcontrib>Bishop, Paul N.</creatorcontrib><creatorcontrib>Cooper, Garth J. S.</creatorcontrib><creatorcontrib>Dunn, Warwick B.</creatorcontrib><title>A new strategy for MS/MS data acquisition applying multiple data dependent experiments on Orbitrap mass spectrometers in non-targeted metabolomic applications</title><title>Metabolomics</title><addtitle>Metabolomics</addtitle><description>The annotation and identification of metabolites is a current bottleneck in non-targeted metabolomics studies. Although accurate measurement of
m/z
is applied routinely in UPLC–MS applications to putatively annotate metabolites, the acquisition of MS/MS or MS
n
data is required to deduce structural information, further reducing the chemical search-space and providing greater confidence in metabolite annotation by comparison to mass spectral databases. Here we propose an innovative new strategy for data dependent acquisition (DDA) for on-line MS/MS data acquisition in parallel to full-scan metabolite profiling on LTQ-Orbitrap mass spectrometers. We recommend the application of different and integrated DDA MS/MS experiments to increase the coverage of unique metabolites for which MS/MS data were acquired. We demonstrate, for the first time, that the integrated application of both CID and higher-energy collisional dissociation ion activation methods, multiple different activation energies and narrow precursor ion
m/z
ranges of 100 or 300 for acquisition of MS/MS spectra provide complementary information and increases the number of unique metabolites for which MS/MS data is acquired. The strategies herein provide a different approach for data acquisition to increase the number of unique MS/MS mass spectra acquired for metabolite annotation purposes in non-targeted metabolomics studies. MS/MS data are available on request from the corresponding author.</description><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Cell Biology</subject><subject>Developmental Biology</subject><subject>Life Sciences</subject><subject>Molecular Medicine</subject><subject>Original Article</subject><issn>1573-3882</issn><issn>1573-3890</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kU9r3DAQxU1JoZttPkBugp7dSLYse49h6Z_ALjkkPYuRNF4UbEmRtLT7ZfpZq61DyCWnGYbfe4_hVdU1o18Zpf1NYqyloqaM17QXbS0-VCvW9W3dDht68boPzafqMqUnSjnf9HRV_b0lDn-TlCNkPJzI6CPZP9zsH4iBDAT089Emm613BEKYTtYdyHycsg0TLojBgM6gywT_BIx2Lmsihb-PyhbbQGZIiaSAOkc_Y8aYiHXEeVdniIdyMKScQfnJz1b_z7Eazpnpc_VxhCnh1ctcV7--f3vc_qx39z_utre7WvOuyTUORg1KDLzbqNF0ioumMQypHng_ahDKiHY0VEPTNRwUNKpF4CBQdL3WMLTr6sviG6J_PmLK8skfoyuRkvV0U2TtIArFFkpHn1LEUYbyL8STZFSea5BLDbLUIM81yLOmWTSpsO6A8Y3zu6J_IDKPqg</recordid><startdate>20151001</startdate><enddate>20151001</enddate><creator>Mullard, Graham</creator><creator>Allwood, James W.</creator><creator>Weber, Ralf</creator><creator>Brown, Marie</creator><creator>Begley, Paul</creator><creator>Hollywood, Katherine A.</creator><creator>Jones, Martin</creator><creator>Unwin, Richard D.</creator><creator>Bishop, Paul N.</creator><creator>Cooper, Garth J. 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S.</creatorcontrib><creatorcontrib>Dunn, Warwick B.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Metabolomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mullard, Graham</au><au>Allwood, James W.</au><au>Weber, Ralf</au><au>Brown, Marie</au><au>Begley, Paul</au><au>Hollywood, Katherine A.</au><au>Jones, Martin</au><au>Unwin, Richard D.</au><au>Bishop, Paul N.</au><au>Cooper, Garth J. S.</au><au>Dunn, Warwick B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new strategy for MS/MS data acquisition applying multiple data dependent experiments on Orbitrap mass spectrometers in non-targeted metabolomic applications</atitle><jtitle>Metabolomics</jtitle><stitle>Metabolomics</stitle><date>2015-10-01</date><risdate>2015</risdate><volume>11</volume><issue>5</issue><spage>1068</spage><epage>1080</epage><pages>1068-1080</pages><issn>1573-3882</issn><eissn>1573-3890</eissn><abstract>The annotation and identification of metabolites is a current bottleneck in non-targeted metabolomics studies. Although accurate measurement of
m/z
is applied routinely in UPLC–MS applications to putatively annotate metabolites, the acquisition of MS/MS or MS
n
data is required to deduce structural information, further reducing the chemical search-space and providing greater confidence in metabolite annotation by comparison to mass spectral databases. Here we propose an innovative new strategy for data dependent acquisition (DDA) for on-line MS/MS data acquisition in parallel to full-scan metabolite profiling on LTQ-Orbitrap mass spectrometers. We recommend the application of different and integrated DDA MS/MS experiments to increase the coverage of unique metabolites for which MS/MS data were acquired. We demonstrate, for the first time, that the integrated application of both CID and higher-energy collisional dissociation ion activation methods, multiple different activation energies and narrow precursor ion
m/z
ranges of 100 or 300 for acquisition of MS/MS spectra provide complementary information and increases the number of unique metabolites for which MS/MS data is acquired. The strategies herein provide a different approach for data acquisition to increase the number of unique MS/MS mass spectra acquired for metabolite annotation purposes in non-targeted metabolomics studies. MS/MS data are available on request from the corresponding author.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11306-014-0763-6</doi><tpages>13</tpages></addata></record> |
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title | A new strategy for MS/MS data acquisition applying multiple data dependent experiments on Orbitrap mass spectrometers in non-targeted metabolomic applications |
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