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Proteinscape v3

Manufactured by Bruker
Sourced in United States, United Kingdom

ProteinScape™ V3.1 is a data management software for mass spectrometry-based proteomics. It provides tools for storing, processing, and analyzing proteomics data.

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11 protocols using proteinscape v3

1

Protein Identification Using Mascot Database

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The MS/MS data, formatted as Mascot Generic Format (mgf), was imported into ProteinScape™ V3.1 (Bruker Daltonics, Billerica, MA, USA) proteomics data analysis software for downstream mining of the NCBIprot database, using ‘Eukaryotes’ as the taxonomical search parameter. Database searches were conducted utilising the Mascot™ V2.5.1 (Matrix Science, Boston, MA, USA) search engine. Mascot search parameters were set in accordance with published guidelines [10 (link)] and to this end, fixed (carbamidomethyl “C”) and variable (oxidation “M” and deamidation “N, Q”) modifications were selected along with peptide (MS) and secondary fragmentation (MS/MS) mass tolerance values of 0.5 Da whilst allowing for a single 13C isotope. Using these criteria Mascot deemed scores over 68 to be significant. From the protein lists produced by Mascot the individual protein identifications scoring over 68 were inspected manually and considered significant only if (i) two peptides were matched for each protein; (ii) peptides were represented by a sequence coverage of > 5%; and (iii) each matched peptide contained an unbroken “b” or “y” ion series represented by a minimum of four contiguous amino acid residues.
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2

Mascot-based Proteomic Profiling of C. abortus

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Deconvoluted MS/MS data in Mascot Generic Format (.mgf) were imported into ProteinScape V3.1 (Bruker UK) proteomics data analysis software for downstream database mining of a cognate C. abortus genomic sequence utilising the Mascot V2.3 (Matrix Science) search algorithm. The protein content of each individual gel slice was established using the “Protein Search” feature of ProteinScape, whilst separate compilations of the proteins contained in all 26 gel slices for each sample were produced using the “Protein Extractor” feature of the software. Mascot search parameters were set in accordance with published guidelines [26 (link)] and to this end, fixed (carbamidomethyl “C”) and variable (oxidation “M” and deamidation “N,Q”) modifications were selected along with peptide (MS) and secondary fragmentation (MS/MS) tolerance values of 0.5 Da whilst allowing for a single 13C isotope. Molecular weight search (MOWSE) scores attained for individual protein identifications were inspected manually and considered significant only if: (a) two peptides were matched for each protein; and (b) each matched peptide contained an unbroken “b” or “y” ion series represented by of a minimum of four contiguous amino acid residues.
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3

Lepeophtheirus salmonis Protein Identification

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Deconvoluted MS/MS data in .mgf (Mascot Generic Format) format were imported into ProteinScape™ V3.1 (Bruker Daltonics) proteomics data analysis software for downstream mining of a custom L. salmonis database. This custom database was constructed from all the “Lepeophtheirus salmonis” protein entries found in the NCBInr database as of January 2018 and comprised 38,092 sequences in total. Database searches were conducted utilising the Mascot™ V2.54.1 (Matrix Science) search engine. Mascot search parameters were set in accordance with published guidelines [25 (link)] and to this end, fixed (carbamidomethyl “C”) and variable (oxidation “M” and deamidation “N,Q”) modifications were selected along with peptide (MS) and secondary fragmentation (MS/MS) tolerance values of 0.5 Da whilst allowing for a single 13C isotope. Protein identifications obtained from each of the 25 individual gel slices per lane were compiled using the “protein list compilation” feature within Proteinscape [26 (link)]. From the compiled protein lists individual protein identifications were inspected manually and considered significant only if: (i) two peptides were matched for each protein; (ii) peptides were represented by a sequence coverage of > 5%; and (iii) each matched peptide contained an unbroken “b” or “y” ion series represented by a minimum of four contiguous amino acid residues.
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4

Protein Identification in Proteomics

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After importing the deconvoluted MS/MS data in .mgf (Mascot Generic Format) into ProteinScape™ V3.1 (Bruker Daltonics), proteomics data analysis software, Mascot™ V2.3 (Matrix Science) search algorithm was used for downstream database mining of the annotated Atlantic salmon genome sequence. Protein Search" feature of ProteinScape™ was used to establish the protein content of each individual gel slice, whereas the "Protein
Extractor" feature was used to compile the protein content of all gel slices into a single result file. The guidelines established by Taylor et al. (2005) (link) were used to set Mascot search parameters, and to this end, fixed (carbamidomethyl "C") and variable (oxidation "M" and deamidation "N,Q") modifications were selected along with peptide (MS) and secondary fragmentation (MS/MS) tolerance values of 0.5 Da whilst allowing for a single 13C isotope.
Molecular weight search (MOWSE) scores attained for individual protein identifications were inspected manually and a list of significant protein were prepared. The proteins were considered significant only if a) two peptides were matched for each protein, and b) each matched peptide contained an unbroken "b" or "y" ion series represented by a minimum of four contiguous amino acid residues.
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5

Automated Proteomic Data Analysis

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After importing the deconvoluted MS/MS data in .mgf (Mascot Generic Format) into ProteinScape™ V3.1 (Bruker Daltonics), proteomics data analysis software, Mascot™ V2.3 (Matrix Science) search algorithm was used for downstream database mining of the annotated Atlantic salmon genome sequence. Protein Search" feature of ProteinScape™ was used to establish the protein content of each individual gel slice, whereas the "Protein Extractor" feature was used to compile the protein content of all gel slices into a single result le. The guidelines established by Taylor et al. (2005) (link) were used to set Mascot search parameters, and to this end, xed (carbamidomethyl "C") and variable (oxidation "M" and deamidation "N,Q") modi cations were selected along with peptide (MS) and secondary fragmentation (MS/MS) tolerance values of 0.5 Da whilst allowing for a single 13C isotope. Molecular weight search (MOWSE) scores attained for individual protein identi cations were inspected manually and a list of signi cant protein were prepared. The proteins were considered signi cant only if a) two peptides were matched for each protein, and b) each matched peptide contained an unbroken "b" or "y" ion series represented by a minimum of four contiguous amino acid residues.
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6

Automated Proteomic Data Analysis

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After importing the deconvoluted MS/MS data in .mgf (Mascot Generic Format) into ProteinScape™ V3.1 (Bruker Daltonics), proteomics data analysis software, Mascot™ V2.3 (Matrix Science) search algorithm was used for downstream database mining of the annotated Atlantic salmon genome sequence. Protein Search" feature of ProteinScape™ was used to establish the protein content of each individual gel slice, whereas the "Protein Extractor" feature was used to compile the protein content of all gel slices into a single result le. The guidelines established by Taylor et al. (2005) (link) were used to set Mascot search parameters, and to this end, xed (carbamidomethyl "C") and variable (oxidation "M" and deamidation "N,Q") modi cations were selected along with peptide (MS) and secondary fragmentation (MS/MS) tolerance values of 0.5 Da whilst allowing for a single 13C isotope. Molecular weight search (MOWSE) scores attained for individual protein identi cations were inspected manually and a list of signi cant protein were prepared. The proteins were considered signi cant only if a) two peptides were matched for each protein, and b) each matched peptide contained an unbroken "b" or "y" ion series represented by a minimum of four contiguous amino acid residues.
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7

Automated Proteomic Data Analysis

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After importing the deconvoluted MS/MS data in .mgf (Mascot Generic Format) into ProteinScape™ V3.1 (Bruker Daltonics), proteomics data analysis software, Mascot™ V2.3 (Matrix Science) search algorithm was used for downstream database mining of the annotated Atlantic salmon genome sequence. Protein Search" feature of ProteinScape™ was used to establish the protein content of each individual gel slice, whereas the "Protein Extractor" feature was used to compile the protein content of all gel slices into a single result le. The guidelines established by Taylor et al. (2005) (link) were used to set Mascot search parameters, and to this end, xed (carbamidomethyl "C") and variable (oxidation "M" and deamidation "N,Q") modi cations were selected along with peptide (MS) and secondary fragmentation (MS/MS) tolerance values of 0.5 Da whilst allowing for a single 13C isotope. Molecular weight search (MOWSE) scores attained for individual protein identi cations were inspected manually and a list of signi cant protein were prepared. The proteins were considered signi cant only if a) two peptides were matched for each protein, and b) each matched peptide contained an unbroken "b" or "y" ion series represented by a minimum of four contiguous amino acid residues.
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8

LC-MS/MS Analysis of Peptide Modifications

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For LC-MS/MS analysis, 8μl of each peptide mixture (n=8 normal/9 ALD) was loaded on a Bruker Amazon Speed LC-MS/MS and a Bruker Maxis IMPACT LC-MS/MS. The instrument was operated using data-dependent collision-induced dissociation (CID) MS/MS or electron transfer dissociation (ETD) with a threshold of 10,000 total ion current (TIC). Data analysis was performed using ProteinScape V3.1.2 (Bruker Daltonics Inc. Billerica, MA) and Mascot (v2.1.04, Matrixscience). First a global search for proteins was conducted with a Mascot cutoff score of 80 with the following variable modifications of carbamidomethly (C) and oxidized (M). After the initial search a second search was conducted for post-translational modification by reactive aldehydes using the masses shown in Table S1. For this 2nd iteration, peptide significance required a Mascot score higher than 40 and visual validation of spectra.
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9

LC-MS/MS Analysis of Peptide Modifications

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For LC-MS/MS analysis, 8µl of each peptide mixture was loaded on a Bruker Amazon Speed LC-MS/MS and a Bruker Maxis IMPACT LC-MS/MS. The instrument was operated using data-dependent collision-induced dissociation (CID) MS/MS or electron transfer dissociation (ETD) with a threshold of 10,000 total ion current (TIC). Data analysis was performed using ProteinScape V3.1.2 (Bruker Daltonics Inc. Billerica, MA) and Mascot (v2.1.04, Matrixscience). First a global search for proteins was conducted with a Mascot cutoff score of 80 with the following variable modifications of carbamidomethyl (C) and oxidized (M). After the initial search a second search was conducted for post-translational modification by reactive aldehydes using the masses previously described16 . For this 2nd iteration, peptide significance required a Mascot score higher than 24 and visual validation of spectra. Following protein identification, all data was pooled into each respective group.
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10

LC-MS/MS Analysis of Peptide Modifications

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For LC-MS/MS analysis, 8 μl of each peptide mixture was loaded on a Bruker Amazon Speed LC-MS/MS and a Bruker Maxis IMPACT LC-MS/MS. The instrument was operated using data-dependent collision-induced dissociation (CID) MS/MS or electron transfer dissociation (ETD) with a threshold of 10,000 total ion current (TIC). Data analysis was performed using ProteinScape V3.1.2 (Bruker Daltonics Inc. Billerica, MA) and Mascot (v2.1.04, Matrixscience). First a global search for proteins was conducted with a Mascot cutoff score of 80 with the following variable modifications of carbamidomethly (C) and oxidized (M). After the initial search a second search was conducted for post-translational modification by reactive aldehydes using the masses as described previously. For this 2nd iteration, peptide significance required a Mascot score higher than 26 and visual validation of spectra.
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