Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases
A comprehensive map and functional annotation of the normal human cerebrospinal fluid proteome.
First author：Yang Zhang, Zhengguang Guo
Corresponding author：Wei Sun
essential_information
- Person in charge：Yang Zhang, Zhengguang Guo
- Data Sources： OTHERS
- Number of papers：OTHERS20190310
- Published time：2015-02-07
2015-02-07
Published articles
Journal：Journal of Proteomics
Publication type: Biochemical Research Methods
IF(IF): 4.044
PMID: 25661039 Link To Pubmed Full text Download
Background And Purpose
Method
In this study, high-pH reverse-phase liquid chromatography (hp-RPLC) was first integrated with a TripleTOF 5600 mass spectrometer to comprehensively profile the normal CSF proteome. A total of 49,836 unique peptides and 3256 non-redundant proteins were identified. To obtain high-confidence results, 2513 proteins with at least 2 unique peptides were further selected as bona fide CSF proteins.
Conclusion
Nearly 30% of the identified CSF proteins have not been previously reported in the normal CSF proteome. More than 25% of the CSF proteins were components of CNS cell microenvironments, and network analyses indicated their roles in the pathogenesis of neurological diseases. The top canonical pathway in which the CSF proteins participated was axon guidance signaling. More than one third of the CSF proteins (788 proteins) were related to neurological diseases, and these proteins constitute potential CSF biomarker candidates.
Main results
Nearly 30% of the identified CSF proteins have not been previously reported in the normal CSF proteome. More than 25% of the CSF proteins were components of CNS cell microenvironments, and network analyses indicated their roles in the pathogenesis of neurological diseases. The top canonical pathway in which the CSF proteins participated was axon guidance signaling. More than one third of the CSF proteins (788 proteins) were related to neurological diseases, and these proteins constitute potential CSF biomarker candidates.