Evidence map›Paper›PMID 28691345›Full record

ReviewMass spectrometry reviews2020

The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics.

Lindsay K Pino, Brian C Searle, James G Bollinger, Brook Nunn, Brendan MacLean, Michael J MacCoss

Abstract readReview
In one paragraph

Review in Mass spectrometry reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 465 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
465citing papers in PubMed, 1 pooled it
–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

465 citing papers in PubMed, 1 synthesis or guideline pooled it.

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405 more citing papers are in PubMed but not listed here.

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.

Lindsay K PinoDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington.
Brian C SearleDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington.
James G BollingerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington.
Brook NunnDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington.
Brendan MacLeanDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington.
Michael J MacCossDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington.

Funding

SPECIFICITY OF OXYGEN DNA DAMAGE AND MUTAGENESISP01AG001751 · NIA · UNIVERSITY OF WASHINGTON · PI RABINOVITCH, PETER S · 1985 to 2021
$29.6M
University of Washington Nathan Shock Center of Excellence in the Basic Biology of AgingP30AG013280 · NIA · UNIVERSITY OF WASHINGTON · PI Michael MacCoss · 1995 to 2026
$27.1M
INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI YATES III, JOHN R · 2012 to 2021
$20.7M
There and Back Again: Epigenetic Reinforcement of Cellular Signaling States - OverallU54HG008097 · NHGRI · BROAD INSTITUTE, INC. · PI JAFFE, JACOB DAVID · 2014 to 2019
$9.3M
Skyline Targeted Proteomics EnvironmentR01GM103551 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2020
$3.4M
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
Molecular phenotyping of the yeast replicative life span response to genetic and environmental modulatorsF31AG055257 · NIA · UNIVERSITY OF WASHINGTON · PI PINO, LINDSAY K · 2016 to 2018
$119k
Methods to elucidate quantitative phosphorylation dynamics in the IGF-1 signaling pathwayF31GM119273 · NIGMS · UNIVERSITY OF WASHINGTON · PI SEARLE, BRIAN CHIH-SENG · 2017 to 2018
$57k
NCI NIH HHS R21 CA192983NHGRI NIH HHS T32 HG000035NHGRI NIH HHS U54 HG008097NIA NIH HHS F31 AG055257NIA NIH HHS P01 AG001751NIA NIH HHS P30 AG013280NIGMS NIH HHS F31 GM119273NIGMS NIH HHS P41 GM103533NIGMS NIH HHS R01 GM103551NIGMS NIH HHS R01 GM121696
6 · The paper itself

Abstract

Skyline is a freely available, open-source Windows client application for accelerating targeted proteomics experimentation, with an emphasis on the proteomics and mass spectrometry community as users and as contributors. This review covers the informatics encompassed by the Skyline ecosystem, from computationally assisted targeted mass spectrometry method development, to raw acquisition file data processing, and quantitative analysis and results sharing.

Indexed as

AnimalsHumansMass SpectrometryProteinsProteomicsSoftwareProteinsinformaticsquantitative mass spectrometrytargeted proteomics

Identifiers

PMID28691345
PMCPMC5799042

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.