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Mascot v2

Manufactured by Matrix Science
Sourced in United Kingdom, United States, Canada, Germany

Mascot v2.4 is a software application designed for protein identification and characterization. It provides a comprehensive solution for the analysis of mass spectrometry data, enabling researchers to identify and quantify proteins within complex biological samples.

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184 protocols using mascot v2

1

Quantitative Proteomic Profiling Protocol

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Samples were digested on-beads twice with 200 ng trypsin (V5280; Promega) for 24 h and subsequently with 50 ng rLys-C for 24 h (V1671; Promega). Digests were desalted with ultra-micro C18 columns (Nest Group), and eluates were dried in a SpeedVac (Eppendorf). For LC-MS/MS, the digests were recovered in 3 μl 30% formic acid (1.00264.0100; Merck) supplemented with 25 fmol/μl peptide and retention time standard (88321; ThermoPierce) and diluted with 20 μl HPLC-grade water (1.15333.2500; Merck). Peptide mixtures were separated by C18 reverse-phase nanoflow liquid chromatography. The LC system was directly connected to the mass spectrometer operated in data-dependent acquisition mode. Fragment spectra were extracted and submitted to automated peptide and protein identification by Mascot V2.6 (MatrixScience) software (Perkins et al, 1999 (link)). Instrumentation and software parameters are given in Table S4. Results were compiled in Scaffold V4.11 (Proteome Software) (Searle, 2010 (link)). Spectra matched to the protein sequences of interest were inspected manually.

Table S4 Mass spectrometry parameters. (A) Mass spectrometer instrumentation parameters used (DAA, data-dependent acquisition mode; HCD, high energy collisional dissociation; AGC, automatic gain control). (B) Parameters for automated peptide and protein identification by Mascot V2.6 (MatrixScience) software.

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2

Mass Spectrometry-Based Protein Identification

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Raw data were searched against the SwissProt database (542,782 sequences) using the Mascot v2.4.1 search engine (Matrix Science) or against the Uniprot database (taxonomy filter Spinacia oleracea) using MaxQuant36 (link)45 (link) software v1.4.3.17.
For Mascot search the mass accuracy filter was 7 ppm for precursor ions and 0.1 Da for MS/MS fragment ions. Peptides were defined to be tryptic with maximal two missed cleavage sites. Carbamidomethylation of cysteines and oxidation of methionine residues as well as acetylation of lysine and the protein N-terminus or phosphorylation of serine, threonine and tyrosine were allowed as variable modifications.
For MaxQuant analysis the mass accuracy filter was 20 ppm for precursor ions in the orbitrap and 0.5 Da for fragement ions in the ion trap. Peptides were defined to be tryptic with a maximum of 2 missed cleavage sites. Carbamidomethylation of cysteine was set to be a fixed modification; oxidation of methionine, acetylation of lysine and the protein N-terminus and phosphorylation of serine, threonine and tyrosine were allowed as variable modifications. A decoy database search was also performed (reversed database) and an FDR of 1% was assumed.
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3

Proteomic Analysis of E. coli Peptides

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Peptides were identified at a ≤ 1% false discovery rate from the UniProt E. coli K12 database (November 2013) using two search engines, Mascot v2.4.1 (Matrix Science, London, UK) and X! Tandem53 (link), in conjunction with PeptideProphet54 (link) as implemented in the Trans-Proteomic Pipeline v.4.6. Search parameters included a mass tolerance of 15 p.p.m. for the parental ions and 0.1 Da for fragment ions, and allowed up to two missed cleavages. The following fixed peptide modifications were used: carbamidomethylation of cysteine residues (+ 57.02 Da) and dimethylation of lysine ε-amines (+ 28.03 Da). N-terminal dimethylation of uncleaved library carryover peptides (+ 28.03 Da), methionine oxidation (+ 15.99 Da), and thioacylation of protease-generated neo N-termini (+ 88.00 Da) were set as variable modifications. Peptide lists from both search engines were combined within the Trans-Proteomic Pipeline for further analysis. A web-based bioinformatics tool, WebPICS55 (link) was used to reconstruct the non-prime side of each identified unique cleavage site28 (link), 29 (link). Obtained cleavage sites were aligned along the scissile peptide bond and visualized as heat maps in GnuPlot (www.gnuplot.info) and iceLogos56 (link). The MS raw data associated with the present paper are available upon request.
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4

AP-MS Workflow for Drosophila Interactomics

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AP-MS experiments followed a GeLC MS/MS approach. Gel lanes were fragmented into eight equally sized pieces and subjected to in-gel trypsin digestion using a Perkin Elmer Janus Automated Workstation. Peptide mixtures were acidified to 0.1% TFA and injected onto a nanoACQUITY UPLC (Waters Corporation) coupled to an LTQ-Orbitap XL (Thermo Fisher Scientific) via an Advion Biosciences Nanomate. Peptides were eluted over a 30 min gradient (5–40% ACN). Mascot distiller was used to extract peak lists, which were searched with Mascot v.2.4.1 (Matrix Science; RRID:SCR_014322) against the Drosophila melanogaster Uniprot reference proteome. Methionine oxidation was entered as a variable modification and search tolerances were 5 ppm and 0.8 Da for peptides and fragments, respectively. Individual lane searches were combined and results compiled in Scaffold 4.0.3 (RRID:SCR_014345).
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5

Identifying Homo sapiens Proteins

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The raw ms data files for all 20 fractions were merged and searched against the Sprot database with taxonomy set to Homo sapiens by Proteome Discoverer Version 1.4 (Thermo Scientific) using the Mascot v.2.4.1 (Matrix Science) search engine for protein identification and TMT reporter ion quantitation. The identification was based on the following database search criteria: enzyme used Trypsin/P; maximum number of missed cleavages equal to 2; precursor mass tolerance equal to 10 ppm; fragment mass tolerance equal to 0.06 Da; dynamic modifications: Oxidation (M), Dioxidation (M), Acetyl (N-term), Gln->pyro-Glu (N-term Q), Pro->Hyp (P), Deamidation(N,Q); static modifications: Carbamidomethyl (C), TMT10plex (K), TMT10plex (N-term). For protein identification the mascot ion score threshold was set at 30 and a minimum of 2 peptides was required.
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6

Protein Identification and Quantification Protocol

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The raw mass spectra were deconvoluted using Proteome Discoverer v1.4.1.14 (Thermo Fisher Scientific, Waltham, MA). The spectra were searched against Mus Musculus (Swissprot, January 2015) supplemented with human Matrin-3 using Mascot v2.4.1 (Matrix Science, London, UK) with the following variable modifications: oxidation (Met) and carbamidomethyl (Cys). Mass tolerances for precursor ions were set at ± 10 ppm, for fragment ions at ± 0.8 Da. A maximum of 2 missed cleavages was allowed. Data were processed for label-free quantitation using Scaffold v4.5.1 (Proteome Software Inc., Portland, OR) and X!Tandem (The GPM, v2010.12.01.1) to further improve confidence in protein identification. At least 2 peptides were required for protein identification, with 0.1% peptide FDR and 1% protein FDR. Only exclusive spectral counts were used for prediction of protein-protein interactions.
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7

Proteomic Analysis of Fasciola hepatica

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All MS/MS samples were analysed using Mascot v2.4.1 (Matrix Science). Mascot was set up to search a database comprised of the gene models identified within the F. hepatica genome (version 1.0, 101,780 entries; accession PRJEB6687 [14 ]) assuming trypsin digestion with 1 missed cleavage permitted. Mascot was searched with a fragment ion mass tolerance of 0.60 Da and a parent ion tolerance of 10.0 ppm. Carbamidomethylation of cysteine was specified in Mascot as a fixed modification. Gln->pyro-Glu of the N-terminus, oxidation of methionine, dioxidation of methionine, acetyl of the N-terminus, BHAc of lysine and NHS-LC-Biotin of the N-terminus were specified in Mascot as variable modifications. An additional search against the NCBI database or Ovis aries gene models (http://www.ensembl.org/Ovis_aries/Info/Index) was run to identify potential host proteins.
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8

Proteomics Analysis of Extracellular Vesicles

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Proteins in the various EV fractions were reduced with 2 mm DTT in 50 mm NH4HCO3 (60 °C/20 min) and alkylated with 5 mm iodoacetamide (room temperature (18–21 °C) in the dark/30 min). Samples were then incubated with 100 ng/μl sequencing grade trypsin (Promega) (37 °C/overnight). The digestions were stopped by the addition of trifluoroacetic acid (TFA) to a final concentration of 0.1% and dried in a vacuum centrifuge. The final mixtures were reconstituted with 10 μl of 0.1% TFA before analysis by LC-MS/MS. Five microliters of the resulting suspension were delivered to an analytical column (Eksigen C18-CL NanoLC Column, 3 μm; 75 μm × 15 cm) equilibrated in 5% acetonitrile/0.1% formic acid (FA). Elution was carried out with a linear gradient of 5–35% buffer B in buffer A for 30min (buffer A: 0.1% FA; buffer B: acetonitrile, 0.1% FA) at a flow rate of 300 nl/min. Peptides were analyzed in a nanoESI qQTOF mass spectrometer (5600 TripleTOF, ABSCIEX) operating in information-dependent acquisition mode, in which a 0.25-s TOF MS scan from 350–1250 m/z, was performed, followed by 0.05-s product ion scans from 100–1500 m/z on the 50 most intense 2–5 charged ions. Peak list files were generated by Protein Pilot v4.5 (Applied Biosystems) using default parameters and exported to Mascot v2.4.1 (Matrix Science) for database searching.
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9

Identifying Homo sapiens Proteins

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The raw ms data files for all 20 fractions were merged and searched against the Sprot database with taxonomy set to Homo sapiens by Proteome Discoverer Version 1.4 (Thermo Scientific) using the Mascot v.2.4.1 (Matrix Science) search engine for protein identification and TMT reporter ion quantitation. The identification was based on the following database search criteria: enzyme used Trypsin/P; maximum number of missed cleavages equal to 2; precursor mass tolerance equal to 10 ppm; fragment mass tolerance equal to 0.06 Da; dynamic modifications: Oxidation (M), Dioxidation (M), Acetyl (N-term), Gln->pyro-Glu (N-term Q), Pro->Hyp (P), Deamidation(N,Q); static modifications: Carbamidomethyl (C), TMT10plex (K), TMT10plex (N-term). For protein identification the mascot ion score threshold was set at 30 and a minimum of 2 peptides was required.
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10

Identification of Ubiquitinated Proteins

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The resultant raw data was searched against the Sprot database with a taxonomy filter set to H. sapiens using the Mascot v. 2.4.1 (Matrix Science) search engine to identify peptides containing Lysines with εN-linked di-glycine modifications. Peptide mass tolerance was set to 10 ppm and the fragment mass tolerance set to 0.6 Da. The number of maximum miss-cleavages was set to 2. The enzyme was set to Trypsin/P and the following variable modifications were considered: Acetyl (N-term), Deamidated (NQ), Dioxidation (M), Gln->pyro-Glu (N-term Q), GlyGly (K), Oxidation (M). A fixed modification for Cysteine was set to N-ethylmaleimide. A mascot ion score threshold was set at 37 to filter non-significant peptide identifications.
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