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20 protocols using proteinscape 3

1

Glycan Identification in Human Samples

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All MS/MS data were analyzed using Compass Data Analysis software 4.1 (Bruker, USA) and Proteinscape 3.0 with a glycan search engine (Bruker, USA). GlycomeDB (https://glytoucan.org) was used to identify glycans. The search parameters were as follows: Charge: 1+, 2+, 3+ and 4+; Taxonomy: Homo sapiens; Reducing end: 2AB; H+ up to 5, Na + up to 1 and K+ up to 1; MS tolerance: 0.05 Da; MS/MS Tolerance: 0.1 Da; Score > 20.0; fragmentation coverage> 15.0%; and intensity coverage> 15.0%.
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2

Proteomic Analysis of Lamprey Buccal Gland

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All MS/MS data were analyzed using Compass 1.4, Data Analysis 4.1 bulid 335 (Bruker, USA), and Proteinscape 3.0 (Bruker, USA) for protein search. Ensembl lamprey protein database (www.ensembl.org) and NCBI protein database (www.ncbi.nlm.nih.gov) were used separately to replenish each other for the peptide searching. The search parameters are listed as follows: Fixed Modifications: Carboxymethyl (C) Vari; Modifications: Oxidation (M); Missed Cleavages: 1; Peptide Charge: 1+, 2+ and 3+; Taxonomy: All entries; Peptide Tolerance: 0.1 Da; MS/MS Tolerance: 0.2 Da; Mass: Monoisotopic; Min. Ion Score: 15; Significance: 0.05; Min. Peptide Length: 5. Mascot was used to give every peptide we identified a test of independence, to make sure every peptide’s significance threshold P < 0.05. And the distribution of mass error is near zero and most of them are less than 20 ppm (Additional file 1: Figure S1). The data were gathered in the area-proportional Venn diagrams which depicted the variation in number of shared and distinct buccal gland secretion proteins of lampreys which fed for different times.
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3

Protein Identification by Shotgun Proteomics

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Relevant protein bands were cut out and digested in gel. S-alkylation with iodoacetamide and digestion with sequencing grade modified trypsin (Promega) were performed. The peptide mixture was analysed using a Dionex Ultimate 3000 system directly linked to a QTOF instrument (maXis 4G ETD, Bruker) equipped with the standard ESI source in the positive ion, DDA mode (= switching to MSMS mode for eluting peaks). MS-scans were recorded (range: 150–2200 Da) and the 6 highest peaks were selected for fragmentation. Instrument calibration was performed using ESIcalibration mixture (Agilent). For separation of the peptides a Thermo BioBasic C18 separation column (5 μm particle size, 150°0.360 mm) was used. A gradient from 95% solvent A and 5% solvent B (Solvent A: 65 mM ammonium formiate buffer, B: 100% ACCN) to 32% B in 45 min was applied, followed by a 15 min gradient from 32% B to 75% B, at a flow rate of 6 μL∙min−1. The analysis files were converted using Data Analysis 4.0 (Bruker) to XML files, which are suitable to perform MS/MS ion searches with MASCOT (embedded in ProteinScape 3.0, Bruker) for protein identification. Only proteins identified with at least 2 peptides with a protein score higher than 80 were accepted. For searches the SwissProt database was used.
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4

Protein Identification by Mass Spectrometry

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We excised relevant protein bands and performed in gel digest ion by S‐alkylation with iodoacetamide and digestion with sequencing grade modified trypsin (Promega). We analysed the peptide mixture as described (Pabst et al., 2012) using a Dionex Ultimate 3000 system directly linked to quadrupole ion trap instrument (amaZon speed ETD, Bruker) equipped with the standard ESI source in the positive ion, DDA mode. We converted analysis files to XML files, using Data Analysis 4.0 (Bruker) which subjects MS/MS ion searches to MASCOT (embedded in ProteinScape 3.0, Bruker) for protein identification. Only proteins identified with at least two peptides with a protein score higher than 80 were accepted. For the searches the SwissProt database was used.
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5

Peptide Reference Library Generation via LC-MALDI

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LC-MALDI analysis was performed to generate a reference library of peptides present in the antigen-retrieved, trypsin-digested tissue samples, to be subsequently matched to peptides of interest found in MSI experiments. A Thermo Ultimate 3000 nano-UPLC (Thermo Fisher) was coupled to a Bruker Proteineer fcII spotting robot (Bruker Daltonics) to deposit eluent onto 384 or 1,536 sample AnchorChip MALDI target plates under conditions as previously described (14 (link)). MALDI-MS and MS/MS spectra were acquired on an UltrafleXtreme spectrometer using CHCA as matrix. Bruker flexAnalysis was used for spectral processing with protein identification performed with Proteinscape 3.0 via a MASCOT database search for human tryptic peptides as described (14 (link)).
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6

Mass Spectrometry Analysis of N-Glycans

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All mass spectrometric measurements of free or derivatised N-glycans were performed on an UltrafleXtreme (BrukerDaltonics, MA, USA) in both reflectron positive and negative ion modes for MS and MS/MS (LIFT) analysis. Calibration of the mass spectra was carried out with a Peptide calibration standard II from Bruker Daltonics. The ions were recorded between 900 and 3500 m/z and the laser intensity was optimised to give the best S/N ratio with the best maintenance of monoisotopic resolution for each sample. All acquired raw spectra were processed and analysed by the FlexAnalysis and ProteinScape 3.0 software (Bruker Daltonics, MA, USA).
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7

Whole Protein Analysis by ESI-Q-TOF MS

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The whole protein analysis was performed by ESI-Q-TOF MS (electrospray-ionization quadrupole time-of-flight mass spectrometry) in positive ion mode (WATERS, MICROMASS). The protein samples were at a protein concentration of 10 µM, 30% ACN, 0.5% formic acid (final) in ammonium acetate 25 mM. Spectra are displayed as the mass to charge ratio (m/z). Calibration was performed using clusters of phosphoric acid in m/z range 90–3000, corresponding to raw spectra acquisition range. Resolution obtained was 8600 and mass accuracy is 100 ppm. The max ent1 method was used for deconvolution of the spectra.
For the sequence analysis, the samples were digested with a cocktail of proteases before being reduced and alkylated. The digested protein samples were analyzed by LC–ESI–MS/MS. Spectra were analyzed with Data analysis 4.0 (BRUKER). MASCOT SERVER 2.2.04 and PROTEIN SCAPE 3.0 (BRUKER) were used for database searches. Carbamidomethyl of cysteines and oxidations of methionine were set as variable modifications. A quality test was run in parallel using a BSA sample to monitor the entire process.
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8

Label-free Quantitative Proteomics Protocol

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Label-free quantitative proteomics was performed using the DataAnalysis 4.1, ProfileAnalysis 2.1, and ProteinScape 3.0 software packages from Bruker Daltonics (Bremen, Germany). Briefly, 10 μg of protein from each of the four pooled samples was digested and analyzed by nano-LC-MS/MS with replicated runs (n = 4) for the quantification of peptide ions and by nano-LC-MS/MS to acquire MS/MS spectra for protein identification. Peak intensities of peptide ions from each nano-LC-MS run were processed by the “Find Molecular Features” (FMF) algorithm in DataAnalysis 4.1, with the following parameters: a minimum retention time of 20 min, a maximum retention time of 90 min, a minimum compound length of eight spectra, and a smoothing width of 4. The intensity and elution time of each peptide ion were recorded as a quantitative “molecular feature” and used to construct a feature map. Feature abundances on different maps were compared using ProfileAnalysis 2.1 with a t-test to reveal the relative changes between peptide ions. The results of the t-test comparison and the quantification of all peptide ions were transferred to ProteinScape to obtain quantitative and qualitative data on the protein composition in each group.
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9

Purification and Identification of Influenza NP Interactors

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The nucleoprotein of A/HK/156/97 (H5N1) was expressed as a maltose binding protein (MBP) fusion protein as described previously [8 (link)]. After RNase A and thrombin treatment, purified NP was coupled to NHS beads. The crude lysate of H292 cells was allowed to flow through immobilized NP. After extensive washing, bound proteins were eluted with 2 M NaCl, separated through 2D electrophoresis, and visualized via silver staining. Surplus spots compared with the control (activated–deactivated NHS beads without immobilized NP) were excised for MALDI–TOF MS/MS analysis. A combined (MS + MS/MS) analysis was carried out against the NCBI non-redundant database using the ProteinScape 3.0 software from Bruker, Billerica, MA, USA.
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10

Proteomic Analysis of Rat Proteins

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Protein spots were excised from the polyacrylamide gels and then analyzed as described in [17 (link),31 (link),32 (link)]. Briefly, after purification with STAGE-TIPs, peptide separation was achieved using a nano-LC device (Proxeon, Odense, Denmark) coupled to a maXis Q-TOF (quadrupole-time of flight) mass spectrometer with ultra-high resolution (Bruker Daltonics, Bremen, Germany). Appropriate software was used (HyStar 3.2 and MicroTOF control Version 3.0., ProteinScape 3.0 and DataAnalysis 4.0 (Bruker Daltonics, Billerica, MA, USA)) for data analysis. Only significant hits (MASCOT score ≥80 for proteins; ≥30 for peptides) were accepted. Proteins were identified by correlating tandem mass spectra with the UniProt/Swiss-Prot database (taxonomy = Rattus norvegicus). The MASCOT online search engine (http://www.matrixscience.com) was used. All nLC-MS/MS analyses were performed in duplicates (two samples per spot).
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