Analysis of the experimental detection of central nervous system-related genes in human brain and cerebrospinal fluid datasets.
Large-scale and high-throughput proteomics experiments of specific samples provide substantial amounts of identified proteins and peptides, which increasingly find their way into centralized, public data repositories. These data typically have potential beyond the analyses performed by the original authors, and can therefore provide considerable added value by being reused for specific, unexplored enquiries. We here reanalyze two CNS-related proteomics datasets, one from the HUPO's Brain Proteome Project, and one from a comprehensive analysis of cerebrospinal fluid in light of the expression of specific splice isoforms from CNS-related genes. We also evaluate the empirically observed peptides of interest against predictions of their proteotypic character.
Mueller
Michael
M
EMBL Outstation, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
Vizcaíno
Juan Antonio
JA
Jones
Philip
P
Côté
Richard
R
Thorneycroft
David
D
Apweiler
Rolf
R
Hermjakob
Henning
H
Martens
Lennart
L
D001921:Brain / Q000378:metabolism*; D002490:Central Nervous System / Q000378:metabolism*; D002556:Cerebrospinal Fluid Proteins / Q000032:analysis* / Q000235:genetics; D019295:Computational Biology / Q000379:methods; D030562:Databases, Protein; D015870:Gene Expression; D006801:Humans; D020543:Proteome / Q000032:analysis* / Q000235:genetics; D040901:Proteomics / Q000379:methods*
D002556:Cerebrospinal Fluid Proteins; D020543:Proteome