Multiplexed MS/MS for improved data-independent acquisition

Jarrett D. Egertson; Andreas Kuehn; Gennifer E. Merrihew; Nicholas W. Bateman; Brendan X. MacLean; Ying S. Ting; Jesse D. Canterbury; Donald M. Marsh; Markus Kellmann; Vlad Zabrouskov; Christine C. Wu; Michael J. MacCoss

doi:10.1038/nmeth.2528

Multiplexed MS/MS for improved data-independent acquisition

Jarrett D. Egertson, Andreas Kuehn, Gennifer E. Merrihew, Nicholas W. Bateman, Brendan X. MacLean, Ying S. Ting, Jesse D. Canterbury, Donald M. Marsh, Markus Kellmann, Vlad Zabrouskov, Christine C. Wu, Michael J. MacCoss^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

253 Scopus citations

Abstract

In mass spectrometry-based proteomics, data-independent acquisition (DIA) strategies can acquire a single data set useful for both identification and quantification of detectable peptides in a complex mixture. However, DIA data are noisy owing to a typical five- to tenfold reduction in precursor selectivity compared to data obtained with data-dependent acquisition or selected reaction monitoring. We demonstrate a multiplexing strategy, MSX, for DIA analysis that increases precursor selectivity fivefold.

Original language	English
Pages (from-to)	744-746
Number of pages	3
Journal	Nature Methods
Volume	10
Issue number	8
DOIs	https://doi.org/10.1038/nmeth.2528
State	Published - Aug 2013
Externally published	Yes

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title = "Multiplexed MS/MS for improved data-independent acquisition",

abstract = "In mass spectrometry-based proteomics, data-independent acquisition (DIA) strategies can acquire a single data set useful for both identification and quantification of detectable peptides in a complex mixture. However, DIA data are noisy owing to a typical five- to tenfold reduction in precursor selectivity compared to data obtained with data-dependent acquisition or selected reaction monitoring. We demonstrate a multiplexing strategy, MSX, for DIA analysis that increases precursor selectivity fivefold.",

author = "Egertson, {Jarrett D.} and Andreas Kuehn and Merrihew, {Gennifer E.} and Bateman, {Nicholas W.} and MacLean, {Brendan X.} and Ting, {Ying S.} and Canterbury, {Jesse D.} and Marsh, {Donald M.} and Markus Kellmann and Vlad Zabrouskov and Wu, {Christine C.} and MacCoss, {Michael J.}",

note = "Funding Information: The authors acknowledge financial support from US National Institutes of Health grants R01 GM103551, P41 GM103533 and F31 AG037265.",

year = "2013",

month = aug,

doi = "10.1038/nmeth.2528",

language = "English",

volume = "10",

pages = "744--746",

journal = "Nature Methods",

issn = "1548-7091",

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number = "8",

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TY - JOUR

T1 - Multiplexed MS/MS for improved data-independent acquisition

AU - Egertson, Jarrett D.

AU - Kuehn, Andreas

AU - Merrihew, Gennifer E.

AU - Bateman, Nicholas W.

AU - MacLean, Brendan X.

AU - Ting, Ying S.

AU - Canterbury, Jesse D.

AU - Marsh, Donald M.

AU - Kellmann, Markus

AU - Zabrouskov, Vlad

AU - Wu, Christine C.

AU - MacCoss, Michael J.

N1 - Funding Information: The authors acknowledge financial support from US National Institutes of Health grants R01 GM103551, P41 GM103533 and F31 AG037265.

PY - 2013/8

Y1 - 2013/8

N2 - In mass spectrometry-based proteomics, data-independent acquisition (DIA) strategies can acquire a single data set useful for both identification and quantification of detectable peptides in a complex mixture. However, DIA data are noisy owing to a typical five- to tenfold reduction in precursor selectivity compared to data obtained with data-dependent acquisition or selected reaction monitoring. We demonstrate a multiplexing strategy, MSX, for DIA analysis that increases precursor selectivity fivefold.

AB - In mass spectrometry-based proteomics, data-independent acquisition (DIA) strategies can acquire a single data set useful for both identification and quantification of detectable peptides in a complex mixture. However, DIA data are noisy owing to a typical five- to tenfold reduction in precursor selectivity compared to data obtained with data-dependent acquisition or selected reaction monitoring. We demonstrate a multiplexing strategy, MSX, for DIA analysis that increases precursor selectivity fivefold.

UR - http://www.scopus.com/inward/record.url?scp=84881477986&partnerID=8YFLogxK

U2 - 10.1038/nmeth.2528

DO - 10.1038/nmeth.2528

M3 - Article

C2 - 23793237

AN - SCOPUS:84881477986

SN - 1548-7091

VL - 10

SP - 744

EP - 746

JO - Nature Methods

JF - Nature Methods

IS - 8

ER -

Multiplexed MS/MS for improved data-independent acquisition

Abstract

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