Multiplexed MS/MS for Improved Data Independent Acquisition

In mass spectrometry based proteomics, data-independent acquisition (DIA) strategies have the ability to acquire a single dataset useful for identification and quantification of detectable peptides in a complex mixture. Despite this, DIA is often overlooked due to noisier data resulting from a typic...

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Autores principales: Egertson, Jarrett D., Kuehn, Andreas, Merrihew, Gennifer E., Bateman, Nicholas W., MacLean, Brendan X., Ting, Ying S., Canterbury, Jesse D., Marsh, Donald M., Kellmann, Markus, Zabrouskov, Vlad, Wu, Christine C., MacCoss, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3881977/
https://www.ncbi.nlm.nih.gov/pubmed/23793237
http://dx.doi.org/10.1038/nmeth.2528
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author Egertson, Jarrett D.
Kuehn, Andreas
Merrihew, Gennifer E.
Bateman, Nicholas W.
MacLean, Brendan X.
Ting, Ying S.
Canterbury, Jesse D.
Marsh, Donald M.
Kellmann, Markus
Zabrouskov, Vlad
Wu, Christine C.
MacCoss, Michael J.
author_facet Egertson, Jarrett D.
Kuehn, Andreas
Merrihew, Gennifer E.
Bateman, Nicholas W.
MacLean, Brendan X.
Ting, Ying S.
Canterbury, Jesse D.
Marsh, Donald M.
Kellmann, Markus
Zabrouskov, Vlad
Wu, Christine C.
MacCoss, Michael J.
author_sort Egertson, Jarrett D.
collection PubMed
description In mass spectrometry based proteomics, data-independent acquisition (DIA) strategies have the ability to acquire a single dataset useful for identification and quantification of detectable peptides in a complex mixture. Despite this, DIA is often overlooked due to noisier data resulting from a typical five to ten fold reduction in precursor selectivity compared to data dependent acquisition or selected reaction monitoring. We demonstrate a multiplexing technique which improves precursor selectivity five-fold.
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spelling pubmed-38819772014-02-01 Multiplexed MS/MS for Improved Data Independent Acquisition Egertson, Jarrett D. Kuehn, Andreas Merrihew, Gennifer E. Bateman, Nicholas W. MacLean, Brendan X. Ting, Ying S. Canterbury, Jesse D. Marsh, Donald M. Kellmann, Markus Zabrouskov, Vlad Wu, Christine C. MacCoss, Michael J. Nat Methods Article In mass spectrometry based proteomics, data-independent acquisition (DIA) strategies have the ability to acquire a single dataset useful for identification and quantification of detectable peptides in a complex mixture. Despite this, DIA is often overlooked due to noisier data resulting from a typical five to ten fold reduction in precursor selectivity compared to data dependent acquisition or selected reaction monitoring. We demonstrate a multiplexing technique which improves precursor selectivity five-fold. 2013-06-23 2013-08 /pmc/articles/PMC3881977/ /pubmed/23793237 http://dx.doi.org/10.1038/nmeth.2528 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Egertson, Jarrett D.
Kuehn, Andreas
Merrihew, Gennifer E.
Bateman, Nicholas W.
MacLean, Brendan X.
Ting, Ying S.
Canterbury, Jesse D.
Marsh, Donald M.
Kellmann, Markus
Zabrouskov, Vlad
Wu, Christine C.
MacCoss, Michael J.
Multiplexed MS/MS for Improved Data Independent Acquisition
title Multiplexed MS/MS for Improved Data Independent Acquisition
title_full Multiplexed MS/MS for Improved Data Independent Acquisition
title_fullStr Multiplexed MS/MS for Improved Data Independent Acquisition
title_full_unstemmed Multiplexed MS/MS for Improved Data Independent Acquisition
title_short Multiplexed MS/MS for Improved Data Independent Acquisition
title_sort multiplexed ms/ms for improved data independent acquisition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3881977/
https://www.ncbi.nlm.nih.gov/pubmed/23793237
http://dx.doi.org/10.1038/nmeth.2528
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