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Proteome discoverer ver 1

Manufactured by Thermo Fisher Scientific
Sourced in Germany

Proteome Discoverer ver.1.4 is a software application designed for the analysis and identification of proteins from mass spectrometry data. The software provides tools for peptide and protein identification, quantification, and data visualization.

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3 protocols using proteome discoverer ver 1

1

Quantitative Proteomics of Urinary Extracellular Vesicles

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Raw data were examined using Proteome Discoverer ver.1.4 (Thermo Fisher Scientific, Bremen, Germany) with Mascot v2.4 (Matrix Science, London, UK) against Uniprot (UP Human without isoform, 14.3 release version), following LC-MS/MS analysis. High-confidence peptide identification was obtained by setting a target FDR threshold of <1.0% at the peptide level. A minimum of two peptides meeting the criteria were required for protein identification. Protein quantification was performed using Proteome Discoverer ver.1.3. iTRAQ ratios, 115:114, 116:114, and 117:114, of each experiment were normalized according to the iTRAQ ratios of CD9 signals to normalize for deviations in EV collection from urine. Protein quantification was performed using only unique peptide. The quantitation values were calculated on the basis of the intensity of the iTRAQ reporter ions in the HCD scans using Proteome Discoverer.
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2

Quantitative Proteomics by Mass Spectrometry

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Tryptic digested peptides were purified and subjected to ESI-LC-MS/MS analysis at a concentration of 1,000 femtomole per injection performed in duplicate. The purified peptides were analyzed using an Orbitrap Velos Pro Hybrid mass spectrometer (Thermo Fisher Scientific, Waltham, MA, USA) in positive ion mode electrospray ionization using an EASY-spray column (PepMap RSLC, C18, 2 μm, 100 Å, 75 μm×50 cm or 15 cm), as described earlier. Proteome Discoverer ver. 1.4 (Thermo Fisher Scientific) was used to identify proteins from raw data generated by tandem mass spectrometric analysis (.raw/.msf). By searching against the UniProt human database, the in-built SequestHT and Mascot search algorithms were used to match tandem mass spectra to peptide sequences. As reported previously [7 (link)], proteins with high peptide confidence and rank one were considered for identification after an effective screening of missed cleavages. The identified proteins were further checked for complementary DNA fragments, isoforms, uncharacterized entries, and normalized using the normalized spectral abundance factor method [8 (link)].
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3

Quantitative SEPT2 Proteomic Profiling

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Proteins were separated by SDS-PAGE. After aligning of anti-SEPT2 western blot, gel bands corresponding to full length SEPT2 and C-terminal SEPT2 fragment were excised and digested using trypsin then propionic anhydride labeling followed by digestion by either trypsin or Asp-N (Promega). Extracted peptides were analyzed by LC-MS/MS (EasyLC 1200 coupled to Fusion Lumos, Thermo Scientific), separated by reversed phase with a gradient increasing from 1% B to 40% B in 40 min. MS data were queried against Uniprots Human database (March 2016) using no enzymatic (Asp-N experiment) or semi-tryptic constraints using Proteome Discoverer ver1.4 (Thermo Fisher)/Mascot 2.4 (Matrix Science). Oxidation of methionine was allowed. For samples treated with propionic anhydride, propionylation of N-termini and lysine were allowed as variable modifications. Matched peptides were filtered using < 5% FDR (Percolator 2) and mass accuracy < 5 ppm in addition to manual validation of tandem spectra. Extracted areas of Septin-2 peptides obtained by the three different digestion strategies for intact SEPT2 and C-terminal SEPT2 were summed per residue and plotted as a function of SEPT2 using PepEx 3, after normalization to the signal of the most C-terminal residues.
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