Evidence map›Paper›PMID 30047074›Full record

ArticleJournal of the American Society for Mass Spectrometry2018

Using Skyline to Analyze Data-Containing Liquid Chromatography, Ion Mobility Spectrometry, and Mass Spectrometry Dimensions.

Brendan X MacLean, Brian S Pratt, Jarrett D Egertson, Michael J MacCoss, Richard D Smith, Erin S Baker

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 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

6 authors.

Brendan X MacLeanDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Brian S PrattDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Jarrett D EgertsonDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Michael J MacCossDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Richard D SmithBiological Sciences Division, Pacific Northwest National Laboratory, 902 Battelle Blvd. MSIN K8-98, P.O. Box 999, Richland, WA, 99352, USA.
Erin S BakerBiological Sciences Division, Pacific Northwest National Laboratory, 902 Battelle Blvd. MSIN K8-98, P.O. Box 999, Richland, WA, 99352, USA. erin.baker@pnnl.gov.ORCID http://orcid.org/0000-0001-5246-2213

Funding

Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI YATES III, JOHN R · 2012 to 2021
$20.7M
Skyline Targeted Proteomics EnvironmentR01GM103551 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2020
$3.4M
Platform Providing Increased Throughput, Sensitivity and Specificity for MetaboloR01ES022190 · NIEHS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI BAKER, ERIN S · 2012 to 2016
$2.2M
The Chorus Project: A Sustainable Cloud Solution for Mass Spectrometry DataR01GM121696 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2017 to 2020
$1.2M
Systematic and Comprehensive Sampling of Peptides in Mixtures by Tandem Mass SpectrometryR21CA192983 · NCI · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2015 to 2017
$648k
National Cancer Institute R21 CA192983National Institute of Environmental Health Sciences P42 ES027704National Institute of Environmental Health Sciences (US) R01 ES022190National Institute of General Medical Sciences P41 GM103493National Institute of General Medical Sciences R01 GM103551National Institute of General Medical Sciences R01 GM121696NCI NIH HHS R21 CA192983NIEHS NIH HHS P42 ES027704NIEHS NIH HHS R01 ES022190NIGMS NIH HHS P41 GM103493NIGMS NIH HHS P41 GM103533NIGMS NIH HHS R01 GM103551NIGMS NIH HHS R01 GM121696
6 · The paper itself

Abstract

Recent advances in ion mobility spectrometry (IMS) have illustrated its power in determining the structural characteristics of a molecule, especially when coupled with other separations dimensions such as liquid chromatography (LC) and mass spectrometry (MS). However, these three separation techniques together greatly complicate data analyses, making better informatics tools essential for assessing the resulting data. In this manuscript, Skyline was adapted to analyze LC-IMS-CID-MS data from numerous instrument vendor datasets and determine the effect of adding the IMS dimension into the normal LC-MS molecular pipeline. For the initial evaluation, a tryptic digest of bovine serum albumin (BSA) was spiked into a yeast protein digest at seven different concentrations, and Skyline was able to rapidly analyze the MS and CID-MS data for 38 of the BSA peptides. Calibration curves for the precursor and fragment ions were assessed with and without the IMS dimension. In all cases, addition of the IMS dimension removed noise from co-eluting peptides with close m/z values, resulting in calibration curves with greater linearity and lower detection limits. This study presents an important informatics development since to date LC-IMS-CID-MS data from the different instrument vendors is often assessed manually and cannot be analyzed quickly. Because these evaluations require days for the analysis of only a few target molecules in a limited number of samples, it is unfeasible to evaluate hundreds of targets in numerous samples. Thus, this study showcases Skyline's ability to work with the multidimensional LC-IMS-CID-MS data and provide biological and environmental insights rapidly. Graphical Abstract ᅟ.

Indexed as

Data independent acquisitionIon mobility spectrometryProteomicsSkyline

Identifiers

PMID30047074
PMCPMC6191345

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.