Evidence map›Paper›PMID 26791624›Full record

ArticleProteomics2016

Morpheus Spectral Counter: A computational tool for label-free quantitative mass spectrometry using the Morpheus search engine.

David C Gemperline, Mark Scalf, Lloyd M Smith, Richard D Vierstra

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03800342 (Recovery, Fatigability, and Proteomic Response to Aerobic Exercise Training in Healthy Individuals), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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.

NCT03800342 nacompletednot on this mapstarted 2019, after this paper: background citation

Recovery, Fatigability, and Proteomic Response to Aerobic Exercise Training in Healthy Individuals

TypeinterventionalSponsorGeorge Mason UniversityRan2019 to 2019Enrolled21ConditionsAdult, FatigueArmsAerobic Exercise Training
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

David C GemperlineDepartment of Genetics, University of Wisconsin, Madison, Wisconsin, USA.
Mark ScalfDepartment of Chemistry, University of Wisconsin, Madison, Wisconsin, USA.
Lloyd M SmithDepartment of Chemistry, University of Wisconsin, Madison, Wisconsin, USA.
Richard D VierstraDepartment of Genetics, University of Wisconsin, Madison, Wisconsin, USA.
University of Wisconsin–Madison · US

Funding

PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007133 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI PERNA, NICOLE T · 1985 to 2023
$16.5M
NHGRI NIH HHS 1P50HG004942NIGMS NIH HHS 5 T32GM7133-37NIGMS NIH HHS T32 GM007133
6 · The paper itself

Abstract

Label-free quantitative MS based on the Normalized Spectral Abundance Factor (NSAF) has emerged as a straightforward and robust method to determine the relative abundance of individual proteins within complex mixtures. Here, we present Morpheus Spectral Counter (MSpC) as the first computational tool that directly calculates NSAF values from output obtained from Morpheus, a fast, open-source, peptide-MS/MS matching engine compatible with high-resolution accurate-mass instruments. NSAF has distinct advantages over other MS-based quantification methods, including a greater dynamic range as compared to isobaric tags, no requirement to align and re-extract MS1 peaks, and increased speed. MSpC features an easy-to-use graphic user interface that additionally calculates both distributed and unique NSAF values to permit analyses of both protein families and isoforms/proteoforms. MSpC determinations of protein concentration were linear over several orders of magnitude based on the analysis of several high-mass accuracy datasets either obtained from PRIDE or generated with total cell extracts spiked with purified Arabidopsis 20S proteasomes. The MSpC software was developed in C# and is open sourced under a permissive license with the code made available at http://dcgemperline.github.io/Morpheus_SpC/.

Indexed as

Arabidopsis ProteinsChromatography, LiquidLinear ModelsProteomicsTandem Mass SpectrometryArabidopsis ProteinsBioinformaticsLabel-free quantificationLC-MS/MSMorpheus

Identifiers

PMID26791624
PMCPMC5089804
OpenAlexW2292567200

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.