DOI: 10.6084/m9.figshare.24354959.v1
title: Additional file 1 of Elucidating regulatory processes of intense physical activity by multi-omics analysis

description: Additional file 1: Table S1 Quantitative proteomics analysis of plasma, saliva, and urine. Plasma samples were immunodepleted for the top 14 most abundant proteins, digested with trypsin, labeled with tandem mass tags, and fractionated by high pH reverse phase chromatography before being analyzed by LC-MS/MS. Saliva and urine were digested with trypsin and analyzed by label-free LC-MS/MS. Proteins were considered significantly different with a P ≤ 0.05 by Student’s t-test (highlighted in green). Fold changes are highlighted in degrees of red (up-regulation) and blue (down-regulation). Table S2 Quantitative lipidomics analysis of plasma, saliva, and urine. Plasma, saliva, and urine extracted with chloroform: methanol: water and analyzed by LC-MS/MS in both positive and negative ionization modes. Lipids were considered significantly different with a P ≤ 0.05 by Student’s t-test (highlighted in green). Fold changes are highlighted in degrees of red (up-regulation) and blue (down-regulation). “_A”, “_B” or “_C” denotes different chromatographically resolved isomers. Table S3 Metabolomics analysis of plasma, saliva, and urine. Plasma, saliva, and urine extracted with methanol, derivatized and analyzed by GC-MS. Metabolites were considered significantly different with a P ≤ 0.05 by Student’s t-test (highlighted in green). Fold changes are highlighted in degrees of red (up-regulation) and blue (down-regulation). Table S4 Quantitative plasma proteomics analysis. Plasma samples were immunodepleted for the top 14 most abundant proteins, digested with trypsin, labeled with tandem mass tags, and fractionated by high pH reverse phase chromatography before being analyzed by LC-MS/MS. Significance was calculated with Student’s t-test. Values represent normalized intensities. Table S5 Quantitative plasma metabolomics analysis. Plasma samples were extracted with methanol, derivatized with N-methyl-N-(trimethylsilyl)trifluoroacetamide and analyzed by GC-MS. Significance was calculated with Student’s t-test. Values represent normalized intensities. Table S6 Quantitative plasma lipidomics analysis. Plasma samples were extracted with MPLEx and analyzed by LC-MS/MS in both positive and negative ionization modes. Significance was calculated with Student’s t-test. Values represent normalized intensities. Table S7 Quantitative urine proteomics analysis. Urine samples were digested with trypsin and analyzed by LC-MS/MS. Significance was calculated with Student’s t-test. Values represent normalized intensities. Table S8 Quantitative urine metabolomics analysis. Urine samples were extracted with methanol, derivatized with N-methyl-N-(trimethylsilyl)trifluoroacetamide and analyzed by GC-MS. Significance was calculated with Student’s t-test. Values represent normalized intensities. Table S9 Quantitative urine lipidomics analysis. Urine samples were extracted with MPLEx and analyzed by LC-MS/MS in both positive and negative ionization modes. Significance was calculated with Student’s t-test. Values represent normalized intensities. Table S10 Quantitative saliva proteomics analysis. Saliva samples were digested with trypsin and analyzed by LC-MS/MS. Significance was calculated with Student’s t-test. Values represent normalized intensities. Table S11 Quantitative saliva metabolomics analysis. Saliva samples were extracted with methanol, derivatized with N-methyl-N-(trimethylsilyl)trifluoroacetamide and analyzed by GC-MS. Significance was calculated with Student’s t-test. Values represent normalized intensities. Table S12 Quantitative saliva lipidomics analysis. Saliva samples were extracted with MPLEx and analyzed by LC-MS/MS in both positive and negative ionization modes. Significance was calculated with Student’s t-test. Values represent normalized intensities.