Table S5. List of Differentially expressed proteins. (XLSX 235 kb

Brian Rood (5350814)

Heather Gordish-Dressman (54143)

Huizhen Zhang (348064)

Jerome Staal (5350805)

Kristy Brown (3174363)

Ling Lau (5350811)

Michael Taylor (377027)

Mojca Stampar (5350808)

Paul Northcott (286265)

Samuel Rivero-Hinojosa (3563156)

Stefan Pfister (30190)

Table S3. Correlation between CNA and mRNA and Protein abundance. Column names legend. Gene: Gene name symbol, TumorID_Prot: Protein quantification value, TumorID_RNA: mRNA quantification value, TumorID_CN: Copy Number value, corr_Prot_CN: spearman correlation coefficient between protein and copy number, pvalue_Prot_CN: spearman correlation coefficient p-value between protein and copy number, corr_RNA_CN: spearman correlation coefficient between mRNA and copy number, pvalue_RNA_CN: spearman correlation coefficient p-value between mRNA and copy number, Cytoband: Gene cytoband, Coord: Gene coordinates in GRch38 reference genome. (XLSX 1.30 mb

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Additional file 6: of Proteomic analysis of Medulloblastoma reveals functional biology with translational potential

Additional file 13: of Proteomic analysis of Medulloblastoma reveals functional biology with translational potential

Figure S1. Correlation between mRNA and protein abundance by subgroups. a) Frequency distribution plots of mRNA-protein spearman’s correlations for each medulloblastoma subgroup. Positive mRNA-protein correlations were found for 68–80% of mRNA-protein pairs with means between (0.30–0.16) depending on the subgroup. However, just a small proportion of them were significant (10–17%). Group 3 was the subgroup with the highest number of significant positive correlations and the highest mean; in contrast, group 4 had the lowest mean. b) Box-plots depicting the distribution of mRNA-protein Spearman’s correlations by subgroup. p-values for differences between the subgroups were calculated with the Kruskal-Wallis rank-sum test. p-values indicating the differences between group 4 and the others were calculated with a two-sided Wilcoxon rank sum test. (PDF 706 kb

Additional file 3: of Proteomic analysis of Medulloblastoma reveals functional biology with translational potential

Table S7. List of upstream regulator for each medulloblastoma subgroup. (XLSX 15.9 kb

Additional file 15: of Proteomic analysis of Medulloblastoma reveals functional biology with translational potential

Table S1. Clinical and tumor sample information. (XLSX 12 kb

Additional file 1: of Proteomic analysis of Medulloblastoma reveals functional biology with translational potential

https://figshare.com/articles/Additional_file_1_of_Proteomic_analysis_of_Medulloblastoma_reveals_functional_biology_with_translational_potential/6461600

Additional file 13: of Proteomic analysis of Medulloblastoma reveals functional biology with translational potential

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