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pmid:26550600

Assessment of current mass spectrometric workflows for the quantification of low abundant proteins and phosphorylation sites.

Manuel Bauer · Erik Ahrné · Anna P Baron · Timo Glatter · Luca L Fava · Anna Santamaria · Erich A Nigg · Alexander Schmidt

Data in brief · 2015 doi:10.1016/j.dib.2015.08.015

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Assessment of current mass spectrometric workflows for the quantification of low abundant proteins and phosphorylation sites.
doi
10.1016/j.dib.2015.08.015
pmid
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Manuel Bauer
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Erik Ahrné
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Anna P Baron
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Timo Glatter
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Luca L Fava
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Anna Santamaria
[6]
Erich A Nigg
[7]
Alexander Schmidt
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Data in brief
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2015
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The data described here provide a systematic performance evaluation of popular data-dependent (DDA) and independent (DIA) mass spectrometric (MS) workflows currently used in quantitative proteomics. We assessed the limits of identification, quantification and detection for each method by analyzing a dilution series of 20 unmodified and 10 phosphorylated synthetic heavy labeled reference peptides, respectively, covering six orders of magnitude in peptide concentration with and without a complex human cell digest background. We found that all methods performed very similarly in the absence of background proteins, however, when analyzing whole cell lysates, targeted methods were at least 5-10 times more sensitive than directed or DDA methods. In particular, higher stage fragmentation (MS3) of the neutral loss peak using a linear ion trap increased dynamic quantification range of some phosphopeptides up to 100-fold. We illustrate the power of this targeted MS3 approach for phosphopeptide monitoring by successfully quantifying 9 phosphorylation sites of the kinetochore and spindle assembly checkpoint component Mad1 over different cell cycle states from non-enriched pull-down samples. The data are associated to the research article 'Evaluation of data-dependent and data-independent mass spectrometric workflows for sensitive quantification of proteins and phosphorylation sites׳ (Bauer et al., 2014) [1]. The mass spectrometry and the analysis dataset have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository with the dataset identifier PXD000964.
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Finally, we generated dilution profile correlations and applied an established algorithm [3] to determine LOQ and LOD values as well as linear correlations (Pearson׳s correlation coefficient (R2) from highest concentration to LOQ) for each MS-method and peptide analyzed.
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Finally, we generated dilution profile correlations and applied an established algorithm [3] to determine LOQ and LOD values as well as linear correlations (Pearson׳s correlation coefficient (R2) from highest concentration to LOQ) for each MS-method and peptide analyzed.
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We found that all methods performed very similarly in the absence of background proteins, however, when analyzing whole cell lysates, targeted methods were at least 5–10 times more sensitive than directed or DDA methods.
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Finally, we generated dilution profile correlations and applied an established algorithm [3] to determine LOQ and LOD values as well as linear correlations (Pearson׳s correlation coefficient (R2) from highest concentration to LOQ) for each MS-method and peptide analyzed.
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MS approach assessment and Mad1 phosphopeptide analysis
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Different dilution series of peptides were analyzed using one dimensional liquid chromatography separation and different data-dependent and independent mass spectrometry workflows to assess their limits of quantification. The most sensitive method was applied to monitor phosphorylation site changes in immunopurified MAD1 across different cell cycle stages using thymidine and nocodazole treatment.
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Finally, we generated dilution profile correlations and applied an established algorithm [3] to determine LOQ and LOD values as well as linear correlations (Pearson׳s correlation coefficient (R2) from highest concentration to LOQ) for each MS-method and peptide analyzed.
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Assessment of current mass spectrometric workflows for the quantification of low abun
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r data-dependent (DDA) and independent (DIA) mass spectrometric (MS) workflows currently used in quantitativ
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ation of data-dependent and data-independent mass spectrometric workflows for sensitive quantification of pr
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Complete file
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We assessed the limits of identification, quantification and detection for each method by analyzing a dilution series of 20 unmodified and 10 phosphorylated synthetic heavy labeled reference peptides, respectively, covering six orders of magnitude in peptide concentration with and without a complex human cell digest background. We found that all methods performed very similarly in the absence of background proteins, however, when analyzing whole cell lysates, targeted methods were at least 5-10 times more sensitive than directed or DDA methods. In particular, higher stage fragmentation (MS3) of the neutral loss peak using a linear ion trap increased dynamic quantification range of some phosphopeptides up to 100-fold. We illustrate the power of this targeted MS3 approach for phosphopeptide monitoring by successfully quantifying 9 phosphorylation sites of the kinetochore and spindle assembly checkpoint component Mad1 over different cell cycle states from non-enriched pull-down samples. The data are associated to the research article 'Evaluation of data-dependent and data-independent mass spectrometric workflows for sensitive quantification of proteins and phosphorylation sites׳ (Bauer et al., 2014) [1]. 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