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

254 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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10.1038/nmeth.2528

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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",

publisher = "Nature Research",

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 - https://www.scopus.com/pages/publications/84881477986

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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