Extended Data Fig. 5: Comparison of CSF proteome datasets and Gene Ontology (GO) enrichment analyses.
From: Injury-specific factors in the cerebrospinal fluid regulate astrocyte plasticity in the human brain
(a) Venn diagram showing the overlap between the 860 proteins (≥2 unique peptides and FDR < 0.01) identified in our study and two proteome datasets of CSF from neurologically healthy individuals published in Guldbrandsen et al., 2014 and Schutzer et al. 2010. (b, c) Diagnosis-related overlap of proteome CSF profile in the 3 ICM patients (b) and 5 CCM patients (c). Only proteins that were found at least in one of three CSF-ICM samples or at least in two of five CSF-CCM samples were included. Interindividual variability between the CSF samples within each diagnosis group was calculated with confidence level (CL) for the 773 proteins in CSF-ICM samples (CLICM in b) and for the 848 proteins in CSF-CCM samples (CLCCM in c). Coefficient of variation (CV) was defined as the ratio of the standard deviation (s) to the mean (x) in %: CV= s/x *100 (CVICM in b, CVCCM in c) (d-g) The PPI network of 483 nonregulated (P > 0.05 and/or fold change <2 or >−2) proteins employed using STRING database, and the top 10 enriched GO terms for biological process (d) and molecular function (e), KEGG (f) and REACTOM pathways (g) are shown. The PPI network for the 62 significantly upregulated (P ≤ 0.05 and fold change ≥2) proteins in CSF-ICM versus CSF-CCM and the enriched biological process GO terms for these proteins are shown in h.
