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Mascot server version 2

Manufactured by Matrix Science
Sourced in United States

Mascot server version 2.5 is a software product that provides a platform for the identification and characterization of proteins from mass spectrometry data. The software is designed to analyze and interpret the results of proteomics experiments.

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7 protocols using mascot server version 2

1

Proteomic Identification of Pig Proteins

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Dried peptides were concentrated and de-salted using Zip-Tips C18 (microbed) (Millipore, Billerica, MA) according to the manufacturer’s instructions.
After elution from the Zip-Tip 0.5 µL of the de-salted peptides were spotted with α-cyano-4-hydroxycinnamic acid onto a ground steel MALDI target plate (Bruker Daltonics, Bremen, Germany). MALDI-TOF/TOF mass spectrometry (Ultraflex II, Bruker Daltonics, Bremen, Germany) was used for spectra acquisition in MS and MS/MS modes. Spectra processing and peak annotation were carried out using FlexAnalysis 3.0 and Biotools 3.2 (both Bruker Daltonics, Bremen, Germany).
Processed spectra were searched via an in-house Mascot server version 2.4.1 (Matrix Science, Boston, MA) and the software ProteinScape 2.1 (Bruker Daltonics, Bremen, Germany) in the UniProt database of sus scrofa using the following search parameters: global modification carbamidomethylation on cysteine; variable modifications oxidation on methionine; deamidation on asparagine and glutamine as well as formation of pyroglutamic acid; enzyme specificity trypsin; charge state z = 1; MS tolerance 100 ppm; MS/MS tolerance 1 Da; two missed cleavages allowed; significance threshold p < 0.05.
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2

Cocoa Bean MS/MS Analysis

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All MS/MS spectra were processed using Mascot Distiller software (Matrix Science Ltd, London, UK; Version 2.5.1.0) in order to convert the raw UHPLC-MS/MS data into peak lists suitable for database searching using the Mascot search routine. For the evaluation of the effect of harvest time and tree, Mascot Server Version 2.4.1 was used, while the analysis of the different cocoa genotypes was carried out employing the Mascot Server Version 2.6 (Matrix Science Ltd). Mascot searches were carried out against the Cacao
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3

Proteomics analysis of Leptospira interrogans

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The in-gel tryptic digested peptides were injected into a nanoLC system (DIONEX, Ultimate 3000, UHPLC, RSLCnano, Thermo Scientific, Sunnyvale, CA, USA) and separated by a reversed-phase C18 PepMap column (75 µm × 15 cm; diameter, 2 µm; pore size, 120 Å) (Acclaim PepMap, Thermo Scientific, Sunnyvale, CA, USA). The nanoLC system was equipped with an electrospray quadrupole time-of-flight mass spectrometer (micrOTOF-Q II, Bruker Daltonics, Bremen, Germany). Peptides were eluted from the reversed-phase C18 column into the mass spectrometer using a linear gradient of 5–55% mobile phase B (0.1% formic acid in 80% acetonitrile) for 30 min at a flow rate of 0.3 µL/min. The data acquired by tandem mass spectrometry were processed using a data analysis software package (Bruker Daltonics GmbH). The processed data were used to identify proteins in a public database using the MASCOT server version 2.3 (Matrix Science, London, UK) by searching against the L. interrogans sequence database. The search parameters of MASCOT were set as follows: peptide mass tolerance, ±1.2 Da; MS/MS tolerance, ±0.6 Da; and variable modifications were set at carbamidomethylated cysteine and oxidized methionine residues.
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4

Protein Identification Workflow for Mass Spectrometry

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After the samples were analyzed by mass spectrometry, we applied the search engine, Mascot server (version 2.3, Matrix Science, London, UK) to retrieve the data in the protein database. All results were filtered to summarize unique peptides according to FDR (<0.01). Meanwhile, Target Decoy PSM Validator and the expected value of Mascot in Proteome Discover were used to verify the search results. Only the peptide identification results meet both FDR ≤ 0.01 and P ≤ 0.01 were considered feasible. The following options were used to identify the proteins: fixed modifications: acrylamide modification on cysteine, acetylation modification on lysine and peptide N-terminal, acetamide modification on aspartate and glutamate, and dimethyl modification on peptide N-terminal; cutting mode: enzyme is trypsin and the maximum missed cut point is 2; and variable modification: acetamide modification at the C terminal of the protein and the oxidation of methane glycine. Differentially expressed proteins (DEPs) were filtered according to the criteria: P value is less than 0.05 and fold change > 1.3.
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5

Protein Identification from LC-MS Data

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The peak lists were created from LC–MS raw data files with msconvert.exe, which was provided by ProteoWizard64 (link), and analysed with Mascot server version 2.5 (Matrix Science, Boston, MA, USA)65 (link) to identify the peptides and proteins in each sample. Our transcriptome assembly was used in the analysis with the following conditions: precursor mass tolerance; 6 ppm, production mass tolerance; 0.5 Da, enzyme; trypsin, max missed coverage; 2, fixed modification; carbamidomethylation at Cys, variable modification; N-acetylation at protein N-term and oxidation at Met, criteria for identification; p < 0.05 (MS/MS ion search). The protein amount was estimated based on the number of sequenced peptides per protein (emPAI)51 (link).
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6

Chlorocebus sabeus and Trypanosoma cruzi Protein Identification

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MS/MS raw data were processed using the Data Analysis software (Bruker Daltonik GmbH; Bremen, Germany) to generate the peak lists. The resulting mgf (Mascot Generic File Format) were submitted to Mascot server version 2.5 (MatrixScience–London, UK) through Proteinscape platform version 4.0 (Bruker Daltonics). Files were then searched against a home-built database (38685 entries) made of compiled Chlorocebus sabeus protein database from UniProtKb (19441 entries) and T. cruzi (strain CL Brener) protein databases from UniProtKb (19244 entries) using trypsin as hydrolysis enzyme. Mass tolerances were set at 10 ppm and 0.01 Da for precursor and product ions, respectively. Two missed cleavages per peptide were allowed considering both tryptic and semi-tryptic cleavages, while the search included fixed carbamidomethylation of Cysteine, and the following variable modifications: N-terminal acetylation, deamidation of asparagines and glutamines and, methionine oxidation. Searches were filtered using both a minimum peptide ion score of 20 and a false discovery rate (FDR) <1% calculated using Percolator.
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7

Proteomics analysis of A. ventricosus

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The peak lists were created from LC-MS raw data files with msconvert.exe provided from ProteoWizard65 (link), and analyzed with Mascot server version 2.5 (Matrix Science, Boston, MA, USA)66 (link) for identification of peptides and proteins in each samples. For the analysis, our A. ventricosus genome sequence was used with the following conditions: Precursor mass tolerance; 6 ppm, Product ion mass tolerance; 0.5 Da, Enzyme; Trypsin, Max missed coverages; 2, Fixed modification; carbamidomethylation at Cys, Variable modification; N-acetylation at protein N-term and oxidation at Met, Criteria for identification; p < 0.05 (MS/MS ion search).
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