Proteome discoverer platform
Proteome Discoverer is a software platform designed for protein identification and characterization. It is used to process and analyze mass spectrometry data obtained from biological samples. The platform provides tools for database searching, peptide and protein identification, and post-translational modification analysis.
Lab products found in correlation
16 protocols using proteome discoverer platform
Comprehensive Mass Spectrometry Workflow
Quantitative Phosphoproteomics of Vasopressin Signaling
Proteome Discoverer-based Mass Spectrometry Workflow
Proteome Discoverer Protein Analysis
Homo sapiens Proteome Database Search
Proteomic Analysis of Human Samples
LTQ-Orbitrap Velos Mass Spectrometry Proteomics
Quantitative Proteomic Workflow Analysis
raw files acquired by the MS system were processed using the Proteome
Discoverer platform (version 1.4, Thermo Scientific). An integrated
workflow using the algorithms Sequest HT and Mascot (version 2.4,
Matrix Science) was employed. Either a human UniProtKB database (Release
2013_6; 88 295 human sequences) or a database consisting of
the aforementioned human proteins and all protein sequences derived
from 21 microbial genomes (
and microbial proteins present in UP samples. MS search parameters
similar to published previously27 are described
in detail in
protein quantification of the data sets, the MaxQuant software suite
(version 1.4.2) was used.32 (link) Most of the
default settings provided in this software suite were accepted, and
data were processed using both the label-free quantitation (LFQ) and
the intensity-based absolute quantitation (iBAQ) tools. The LFQ algorithms
provide relative quantification of the integrated MS1 peak
areas from the high resolution MS data. The iBAQ algorithms sum the
integrated peak intensities of the peptide ions for a given protein
divided by the number of theoretically observable peptides, which
are calculated by in silico digestion of protein sequences including
all fully tryptic peptides with a length of 6–30 amino acids.33 (link)
Quantitative Proteomics of Tumor Samples
Bovine Proteome Profiling by Mass Spectrometry
For protein functional analysis, Database for Annotation, Visualization and Integrated Discovery (DAVID) software version 6.8 was used for GO annotation [80 (link)]. The online tool Kyoto Encyclopedia of Genes and Genomes (KEGG) [81 (link)] was used for pathway annotation. Protein interaction information was obtained from the STRING database, and the interaction network was visualized using Cytoscape software (version 3.4) [82 (link)].
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