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Mol Cell Proteomics. 2017 Feb;16(2):300-309. doi: 10.1074/mcp.O116.064477. Epub 2016 Nov 27.

CSF-PR 2.0: An Interactive Literature Guide to Quantitative Cerebrospinal Fluid Mass Spectrometry Data from Neurodegenerative Disorders.

Author information

1
From the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.
2
§KG Jebsen Centre for Multiple Sclerosis Research, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway.
3
¶Norwegian Multiple Sclerosis Registry and Biobank, Haukeland University Hospital, 5021 Bergen, Norway.
4
From the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway; frode.berven@uib.no.
5
‖Norwegian Multiple Sclerosis Competence Centre, Department of Neurology, Haukeland University Hospital, 5021 Bergen, Norway.
6
**Department of Clinical Science, University of Bergen, 5020 Bergen, Norway.
7
‡‡Computational Biology Unit, Department of Informatics, University of Bergen, 5020 Bergen, Norway.

Abstract

The rapidly growing number of biomedical studies supported by mass spectrometry based quantitative proteomics data has made it increasingly difficult to obtain an overview of the current status of the research field. A better way of organizing the biomedical proteomics information from these studies and making it available to the research community is therefore called for. In the presented work, we have investigated scientific publications describing the analysis of the cerebrospinal fluid proteome in relation to multiple sclerosis, Parkinson's disease and Alzheimer's disease. Based on a detailed set of filtering criteria we extracted 85 data sets containing quantitative information for close to 2000 proteins. This information was made available in CSF-PR 2.0 (http://probe.uib.no/csf-pr-2.0), which includes novel approaches for filtering, visualizing and comparing quantitative proteomics information in an interactive and user-friendly environment. CSF-PR 2.0 will be an invaluable resource for anyone interested in quantitative proteomics on cerebrospinal fluid.

PMID:
27890865
PMCID:
PMC5294216
DOI:
10.1074/mcp.O116.064477
[Indexed for MEDLINE]
Free PMC Article

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