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Training dataset: DIA data analysis of a HEK/Ecoli Spike-in dataset using OpenSwathWorkflow

Vogele, Daniel; Stillger, Maren; Fahrner, Matthias; Schilling, Oliver

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  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4301690", 
  "author": [
      "family": "Vogele, Daniel"
      "family": "Stillger, Maren"
      "family": "Fahrner, Matthias"
      "family": "Schilling, Oliver"
  "issued": {
    "date-parts": [
  "abstract": "<p>The eight&nbsp;raw files serve as a concise but meaningful training data set in the Galaxy training network (</p>\n\n<p>HEK and E.coli cell pellets were lysed with 5 % SDS, 50 mM triethylammonium bicarbonate (TEAB), pH 7.55. The obtained protein extracts were reduced by adding f.c. 5 mM TCEP and alkylated by the addition of f.c. 10 mM iodacetamide. Protein digestion and purification was performed on S-Trap columns. To ensure protein binding to the S-Trap columns, samples were acidified to a final concentration of 1.2 % phosphoric acid (~ pH 2). Six times the sample volume S-Trap buffer (90% aqueous methanol containing a final concentration of 100 mM TEAB, pH 7.1) was added to the samples which were then loaded on the columns and washed with S-Trap buffer. Protein digestion was performed with trypsin and LysC for one hour at 47 &deg;C. Peptides were eluted in three steps with (1) 50 mM TEAB, (2) 0.2 % aqueous formic acid and (3) 50 % acetonitrile containing 0.2 % formic acid. Eluted peptides of HEK and E.coli were mixed in two different ratios and four replicates&nbsp;of each Spike/in ratio were measured:</p>\n\n<p>Sample&nbsp;&nbsp; &nbsp;HEK&nbsp;&nbsp; &nbsp;E.coli&nbsp;&nbsp; &nbsp;MS method<br>\nSample1&nbsp;&nbsp; &nbsp;2.5&nbsp; &nbsp; &nbsp; 0.15&nbsp; &nbsp; &nbsp; &nbsp; DIA<br>\nSample2&nbsp;&nbsp; &nbsp;2.5&nbsp; &nbsp; &nbsp; 0.15&nbsp; &nbsp; &nbsp; &nbsp; DIA<br>\nSample3&nbsp;&nbsp; &nbsp;2.5&nbsp; &nbsp; &nbsp; 0.15&nbsp; &nbsp; &nbsp; &nbsp; DIA<br>\nSample4&nbsp; &nbsp; 2.5&nbsp; &nbsp; &nbsp; 0.15&nbsp; &nbsp; &nbsp; &nbsp; DIA<br>\nSample5&nbsp;&nbsp; &nbsp;2.5&nbsp; &nbsp; &nbsp; 0.80&nbsp; &nbsp; &nbsp; &nbsp; DIA<br>\nSample6&nbsp; &nbsp; 2.5&nbsp; &nbsp; &nbsp; 0.80&nbsp; &nbsp; &nbsp; &nbsp; DIA<br>\nSample7&nbsp; &nbsp; 2.5&nbsp; &nbsp; &nbsp; 0.80&nbsp; &nbsp; &nbsp; &nbsp; DIA<br>\nSample8&nbsp; &nbsp; 2.5&nbsp; &nbsp; &nbsp; 0.80&nbsp; &nbsp; &nbsp; &nbsp; DIA</p>\n\n<p>Additionally, iRT peptides were added and 1&micro;g of each samples&nbsp;was measured using&nbsp;data independent acquisition with a Q-Exactive Plus mass spectrometer. Briefly, a scan range from 400-1000 m/Z was first covered by an MS1 scan followed by 25 consecutive MS2 scans (each&nbsp;24 m/z broad). In the next cycle another&nbsp;MS1 scan was acquired followd by 26 MS2 scans (also 24m/z broad) in which the window centers were shifted by 50% compared to the previous cycle of MS2 scans. The resulting raw files contain overlapping MS2 scans.</p>\n\n<p>Besides the eight raw files, we uploaded a spectral library, a&nbsp;transition list for the iRT peptides as well as an sample annotation file.<br>\nAdditionally, we uploaded&nbsp;the Galaxy PyProphet score&nbsp;training result files: PyProphet score report and PyProphet score.</p>", 
  "title": "Training dataset: DIA data analysis of a HEK/Ecoli Spike-in dataset using OpenSwathWorkflow", 
  "type": "dataset", 
  "id": "4301690"
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