ArticleProteomics2016
Morpheus Spectral Counter: A computational tool for label-free quantitative mass spectrometry using the Morpheus search engine.
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.
What it found
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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.
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.
Recovery, Fatigability, and Proteomic Response to Aerobic Exercise Training in Healthy Individuals
Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Article
- Urinary Proteome of Newborn Calves-New Potential in Non-Invasive Neonatal Diagnostic.Animals : an open access journal from MDPI · 2020Article
- Proteomic analysis of affinity-purified 26S proteasomes identifies a suite of assembly chaperones inThe Journal of biological chemistry · 2019Article
- SUMOylome Profiling Reveals a Diverse Array of Nuclear Targets Modified by the SUMO Ligase SIZ1 during Heat Stress.The Plant cell · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
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/.
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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.