Evidence map›Paper›PMID 26398777›Full record

ArticleAnalytical chemistry2015

Multiplexed, Scheduled, High-Resolution Parallel Reaction Monitoring on a Full Scan QqTOF Instrument with Integrated Data-Dependent and Targeted Mass Spectrometric Workflows.

Birgit Schilling, Brendan MacLean, Jason M Held, Alexandria K Sahu, Matthew J Rardin, Dylan J Sorensen, Theodore Peters, Alan J Wolfe, Christie L Hunter, Michael J MacCoss and 1 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Birgit SchillingBuck Institute for Research on Aging , 8001 Redwood Boulevard, Novato, California 94945, United States.
Brendan MacLeanDepartment of Genome Sciences, University of Washington School of Medicine , Foege Building S113, 3720 15th Avenue NE, Seattle, Washington 98195, United States.
Jason M HeldDepartments of Medicine and Anesthesiology, Washington University School of Medicine , 660 South Euclid Avenue, St. Louis, Missouri 63110, United States.
Alexandria K SahuBuck Institute for Research on Aging , 8001 Redwood Boulevard, Novato, California 94945, United States.
Matthew J RardinBuck Institute for Research on Aging , 8001 Redwood Boulevard, Novato, California 94945, United States.
Dylan J SorensenBuck Institute for Research on Aging , 8001 Redwood Boulevard, Novato, California 94945, United States.
Theodore PetersBuck Institute for Research on Aging , 8001 Redwood Boulevard, Novato, California 94945, United States.
Alan J WolfeDepartment of Microbiology and Immunology, Stritch School of Medicine, Health Sciences Division, Loyola University Chicago , 2160 South First Avenue, Maywood, Illinois 60153, United States.
Christie L HunterSCIEX, 1201 Radio Road, Redwood City, California 94065, United States.
Michael J MacCossDepartment of Genome Sciences, University of Washington School of Medicine , Foege Building S113, 3720 15th Avenue NE, Seattle, Washington 98195, United States.
Bradford W GibsonBuck Institute for Research on Aging , 8001 Redwood Boulevard, Novato, California 94945, United States.

Funding

TripleTOF 5600 High Resolution Mass SpectrometerS10OD016281 · OD · BUCK INSTITUTE FOR RESEARCH ON AGING · PI GIBSON, BRADFORD WAYNE · 2013 to 2013
$597k
AB SCIEX QTRAP 5500 LC MS/MS systemS10RR027953 · NCRR · BUCK INSTITUTE FOR RESEARCH ON AGING · PI GIBSON, BRADFORD WAYNE · 2010 to 2010
$500k
NCRR NIH HHS S10 RR027953NIH HHS 1S10 OD016281NIH HHS S10 OD016281
6 · The paper itself

Abstract

Recent advances in commercial mass spectrometers with higher resolving power and faster scanning capabilities have expanded their functionality beyond traditional data-dependent acquisition (DDA) to targeted proteomics with higher precision and multiplexing. Using an orthogonal quadrupole time-of flight (QqTOF) LC-MS system, we investigated the feasibility of implementing large-scale targeted quantitative assays using scheduled, high resolution multiple reaction monitoring (sMRM-HR), also referred to as parallel reaction monitoring (sPRM). We assessed the selectivity and reproducibility of PRM, also referred to as parallel reaction monitoring, by measuring standard peptide concentration curves and system suitability assays. By evaluating up to 500 peptides in a single assay, the robustness and accuracy of PRM assays were compared to traditional SRM workflows on triple quadrupole instruments. The high resolution and high mass accuracy of the full scan MS/MS spectra resulted in sufficient selectivity to monitor 6-10 MS/MS fragment ions per target precursor, providing flexibility in postacquisition assay refinement and optimization. The general applicability of the sPRM workflow was assessed in complex biological samples by first targeting 532 peptide precursor ions in a yeast lysate, and then 466 peptide precursors from a previously generated candidate list of differentially expressed proteins in whole cell lysates from E. coli. Lastly, we found that sPRM assays could be rapidly and efficiently developed in Skyline from DDA libraries when acquired on the same QqTOF platform, greatly facilitating their successful implementation. These results establish a robust sPRM workflow on a QqTOF platform to rapidly transition from discovery analysis to highly multiplexed, targeted peptide quantitation.

Indexed as

SoftwareAnimalsCaenorhabditis elegansChromatography, High Pressure LiquidEscherichia coliMass SpectrometryPeptidesSaccharomyces cerevisiaeTime FactorsPeptides

Identifiers

PMID26398777
PMCPMC5677521

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.