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Proteome discoverer platform

Manufactured by Thermo Fisher Scientific
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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.

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16 protocols using proteome discoverer platform

1

Comprehensive Mass Spectrometry Workflow

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The LC–MS/MS data were processed using the Proteome Discoverer platform (v.1.4; Thermo Scientific) and searched using an in‐house MASCOT server (v.2.5.1; Matrix Science, London, UK) against cRAP database (https://www.thegpm.org/crap/) supplemented with the sequences of the proteins of interest. The following modifications were included in search parameters depending on the sample: urmylation (HisGlyGly tag after chymotrypsin, ∆ mass = 251.101839); ubiquitination (GlyGly tag after trypsin, ∆ mass = 114.042927); sumoylation (GlyGlyIleGlnGlu tag after trypsin, ∆ mass = 503.246552; GlyGlyIleGln tag after chymotrypsin or V8 protease, ∆ mass = 374.203959); GFP conjugation (Lys tag after chymotrypsin; ∆ mass = 128.094963); cysteine carbamidomethylation (∆ mass = 57.021464); cysteine persulfidation (∆ mass = 31.972071); carbamidomethylated cysteine persulfidation (∆ mass = 88.993534); methionine oxidation (∆ mass = 15.994915).
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2

Quantitative Phosphoproteomics of Vasopressin Signaling

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Published iTRAQ datasets [21 (link)] were used for the implementation and testing of the quantitative data support in PhosFox. As described in the original publication [21 (link)], rat inner medullary collecting duct samples were incubated with or without dDAVP, a V2 receptor-analog of vasopressin, at four different time points (0.5, 2, 5 and 15 min). The proteins were enzymatically digested and each peptide sample was labeled with 8-plex iTRAQ reagent. The labeled samples were combined into a single sample before SCX fractionation, Ga3+ IMAC, and LC-MS/MS analysis with a LTQ Orbitrap Velos mass spectrometer (Thermo Scientific). The MS/MS data was searched with the Sequest algorithm through the Proteome Discoverer platform (Thermo Scientific) on a concatenated database of the Rat Refseq Database (NCBI, March 3, 2010, 30,734 entries), and the abundance ratios (dDAVP/control) for the four time points were calculated. The 15 min time point from one of the three biological replicates was analyzed with PhosFox and compared to the original results (Additional file 7: Figure S1).
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3

Proteome Discoverer-based Mass Spectrometry Workflow

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The raw data files were processed by the Proteome Discoverer platform (v.1.4, Thermo Fisher Scientific) and searched against the SwissProt database with Homo sapiens taxonomy restriction (release June 2017, 20,206 sequences) using the locally installed MASCOT search engine (v.2.5.1, Matrix Science). The following parameters were applied: fixed modification—cysteine carbamidomethylation; variable modifications—methionine oxidation and protein N-terminal acetylation; peptide mass tolerance—10 ppm; fragment mass tolerance—20 mmu. Only tryptic peptides with up to one missed cleavage were considered. Target Decoy PSM Validator was applied with the maximum false discovery rate (FDR) for peptides set to 0.01. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE [39 (link)] partner repository with the dataset identifier PXD012003.
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4

Proteome Discoverer Protein Analysis

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The RAW files were processed by the Proteome Discoverer platform (v.1.4, Thermo Fisher Scientific) and searched against the SwissProt database with Homo sapiens taxonomy restriction (release February 2019, 20418 sequences) using a locally installed MASCOT search engine (v. 2.5.1, Matrix Science). The following parameters were applied: fixed modification, cysteine carbamidomethylation; variable modifications, methionine oxidation and protein N-terminal acetylation; the peptide mass tolerance, 10 ppm; fragment mass tolerance, 20 mmu. Only tryptic peptides with up to one missed cleavage were considered. Target Decoy PSM Validator was applied with the maximum false discovery rate (FDR) for peptides set to 0.01. The raw data were deposited to the ProteomeXchange Consortium via the MassIVE repository with the dataset identifier PXD017366.
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5

Homo sapiens Proteome Database Search

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The MS/MS database searches were carried out using Mascot server (version 2.5.0; Matrix Science Ltd., London, United Kingdom), through Proteome Discoverer platform (version 2.2; Thermo Scientific) against the Homo sapiens UniProt database, version 2021, containing 564,918 protein sequences. Trypsin was specified as the protease and a maximum of two missed cleavages were allowed. The search parameters involved carbamidomethylation at cysteine which was set as the fixed modification, while oxidation of methionine was set as a variable modification. MS and MS/MS mass tolerances were set to 10 ppm and 0.5 Dalton (Da), respectively. Only Master Proteins (containing at least one unique peptide, and ≥2 PSMs) and 95% confidence interval threshold (p < 0.05, Mascot score verification). The mass spectrometry data generated from this study have been deposited in the ProteomeXchange Consortium (http://www.proteomexchange.org) via the PRIDE partner repository, with the dataset identifier PXD039214.
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6

Proteomic Analysis of Human Samples

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The RAW files were processed by the Proteome Discoverer platform (v.1.4, Thermo Fisher Scientific) and searched against the SwissProt database with Homo sapiens taxonomy restriction (release February 2020, 20366 sequences) using a locally installed MASCOT search engine (v. 2.5.1, Matrix Science). The following parameters were applied: fixed modification, cysteine carbamidomethylation; variable modifications, methionine oxidation and protein N-terminal acetylation; peptide mass tolerance, 10 ppm; fragment mass tolerance, 20 mmu. Only tryptic peptides with up to one missed cleavage were considered. Target Decoy PSM Validator was applied with the maximum false discovery rate (FDR) for peptides set to 0.01. The mass spectrometry data were deposited to the ProteomeXchange Consortium [40 (link)] via the MassIVE repository with the dataset identifier PXD025825.
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7

LTQ-Orbitrap Velos Mass Spectrometry Proteomics

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Peptide fractions were analyzed on an LTQ-Orbitrap Velos mass spectrometer coupled to Agilent 1200 series nano HPLC system. The MS1 scans were acquired in the m/z range of 350–1800 while MS2 scans were acquired in 100–2000 m/z using higher-energy collisional dissociation (HCD). Top 15 precursor ions were chosen for MS2 analysis in each duty cycle. Precursor ions with singly charged and unknown charges were excluded for MS2 analyses. Mass spectrometry raw data were searched against Human RefSeq protein database (Release 46) using Proteome Discoverer platform (Thermo, Bremen, Germany). We used Mascot and SEQUEST search algorithms with following search parameters: trypsin as a protease with maximum one allowed missed cleavage; carbamidomethylation of cysteine as a fixed modification; oxidation of methionine, acetylation of protein N-terminus and deamidation of glutamine. Mass tolerances at MS and MS/MS were set to 20 ppm and 0.1 Da, respectively. FDR of 1% was used for peptide validation. The proteomic datasets are accessible in the PRIDE Archive with the accession number: PXD001260.
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8

Quantitative Proteomic Workflow Analysis

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The
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 (Supporting Information Table S-1) were used. The latter database was used to identify human
and microbial proteins present in UP samples. MS search parameters
similar to published previously27 are described
in detail in Supporting Information. For
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)
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9

Quantitative Proteomics of Tumor Samples

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MASCOT software (Matrix Science, London, UK) was used for protein database searching as previously reported [26 (link)]. The searches were performed using the NCBI database and the following standard parameters: Homo Sapiens; one missed cleavage; carboxyamidomethylation of Cys, partial Met oxidation and putative modification of Gln to pyro-Glu, mass tolerance of 300 ppm on precursor ions, and 0.6 Da on the product ions. Individual ion scores >43 indicate identity or extensive homology (p < 0.05). For label-free quantitation, Mascot format text files were analyzed by Proteome Discoverer platform (version 1.3; Thermo Scientific, Bremen, Germany), interfaced with an in-house Mascot server (version 2.3, Matrix Science, London, UK). All peptides with FDR ≤ 0.01 and a peptide rank of 1 were included. Spectral counts (SpC) were used for estimating protein abundance and comparing the expression of the same protein between tumour and control tissues. SpC log Ratio (Rsc) and Normalized Spectral Abundance Factor (NSAF) were calculated as previously described [23 (link)].
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10

Bovine Proteome Profiling by Mass Spectrometry

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The peptide mass spectrum was searched against the Uniprot database of Bos taurus (UP000009136) using SEQUEST software integrated in the Proteome Discoverer platform (version 2.1; Thermo Fisher Scientific, USA). Trypsin/P was selected as the working enzyme. The max missed cleavage was set to two. Carbamidomethyl (C) was set as fixed modification, and iTRAQ 8plex (N-term, K, Y) and oxidation (M) were set as variable modifications. The peptide mass error was limited to 10 ppm, and the product ion mass error was set to include 0.02 Da. The peptide false distribution rate is reported at p < 0.05.
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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