Evidence map›Paper›PMID 27530777›Full record

ArticleJournal of the American Society for Mass Spectrometry2016

A Skyline Plugin for Pathway-Centric Data Browsing.

Michael G Degan, Lillian Ryadinskiy, Grant M Fujimoto, Christopher S Wilkins, Cheryl F Lichti, Samuel H Payne

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Michael G DeganBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
Lillian RyadinskiyBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
Grant M FujimotoBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
Christopher S WilkinsBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
Cheryl F LichtiDepartment of Pharmacology and Toxicology, The University of Texas Medical Branch, Galveston, TX, 77555, USA.
Samuel H PayneBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA. samuel.payne@pnnl.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For targeted proteomics to be broadly adopted in biological laboratories as a routine experimental protocol, wet-bench biologists must be able to approach selected reaction monitoring (SRM) and parallel reaction monitoring (PRM) assay design in the same way they approach biological experimental design. Most often, biological hypotheses are envisioned in a set of protein interactions, networks, and pathways. We present a plugin for the popular Skyline tool that presents public mass spectrometry data in a pathway-centric view to assist users in browsing available data and determining how to design quantitative experiments. Selected proteins and their underlying mass spectra are imported to Skyline for further assay design (transition selection). The same plugin can be used for hypothesis-driven data-independent acquisition (DIA) data analysis, again utilizing the pathway view to help narrow down the set of proteins that will be investigated. The plugin is backed by the Pacific Northwest National Laboratory (PNNL) Biodiversity Library, a corpus of 3 million peptides from >100 organisms, and the draft human proteome. Users can upload personal data to the plugin to use the pathway navigation prior to importing their own data into Skyline. Graphical Abstract ᅟ.

Indexed as

Mass SpectrometryProteomeProteomicsSoftwareHumansPeptidesStatistics as TopicPeptidesProteomeBioinformaticsData analysisSystems biologyTargeted proteomics

Identifiers

What OpenQuestion holds

Textmetadata
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.