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DataSet Summary

  • HostingRepository: PRIDE
  • AnnounceDate: 2017-08-04
  • AnnouncementXML: Submission_2017-08-07_07:31:31.xml
  • DigitalObjectIdentifier: http://dx.doi.org/10.6019/PXD004219
  • ReviewLevel: Peer-reviewed dataset
  • DatasetOrigin: Original data
  • RepositorySupport: Supported dataset by repository
  • PrimarySubmitter: Guadalupe Gomez Baena
  • Title: C4PR_LIV Identification of protein biomarkers for pneumococcal meningitis in children
  • Description: Bacterial meningitis is usually fatal without treatment. Prompt and accurate diagnosis coupled with the timely administration of parenteral antibiotics is necessary in order to save lives. We used label-free mass spectrometry based quantitative proteomics to identify specific protein signatures in cerebrospinal fluid from Malawian children with Streptococcus pneumoniae infection, the leading cause of bacterial meningitis in children, elderly and people infected with Human Immunodeficiency Virus. Samples were analysed in two independent cohorts (cases and controls, n=12 for the discovery cohort and n=16 for the verification cohort). The protein profiles clearly discriminated cases and controls. Proteins involved in the immune response and exosome cell signaling were significantly enriched in the infected samples. Several S. pneumoniae membrane proteins were identified suggesting these as potential therapeutic targets. For both cohorts, over 200 human proteins were up and down-regulated in children with confirmed S. pneumoniae infection in comparison with controls. Compiling proteins up- and down- regulated in both discovery and verification cohorts, we generated a comprehensive list of over 140 proteins from which diagnostic biomarkers could be nominated. For a panel of five selected proteins (cathelicidin, ceruloplasmin, myeloperoxidase, cystatin C and protein S100A8/S100 A9), we additionally verified the label-free results by automated quantitative western blot immunoassays (Simple Western™), with excellent agreement between the two experimental approaches. The proteins identified in our study could form the basis of development of a biomarker panel for rapid diagnosis. Our results could lead to the development of point-of-care assays to inform diagnosis, and to nominate new targets for drugs and vaccines to improve disease management and consequently to enhance the prognosis of children with bacterial meningitis.
  • SpeciesList: scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
  • ModificationList: Oxidation; Carbamidomethyl
  • Instrument: LTQ Orbitrap Velos

Dataset History

VersionDatetimeStatusChangeLog Entry
02016-05-24 09:47:05ID requested
12017-08-02 11:19:42announced
22017-08-03 02:37:01announcedUpdated project metadata.
32017-08-04 00:30:26announcedUpdated project metadata.
42017-08-07 07:31:32announcedUpdated project metadata.

Publication List

  1. Gómez-Baena G, Bennett RJ, Martínez-Rodríguez C, Wnęk M, Laing G, Hickey G, McLean L, Beynon RJ, Carrol ED, Quantitative Proteomics of Cerebrospinal Fluid in Paediatric Pneumococcal Meningitis. Sci Rep, 7(1):7042(2017) [pubmed]

Keyword List

  1. curator keyword: Biological, Biomedical
  2. submitter keyword: bacterial meningitis, Streptococcus pneumoniae, protein quantification

Contact List

    Prof. Rob J. Beynon
    • contact affiliation: Centre for Proteome Research, University of Liverpool
    • contact email: rbeynon@liverpool.ac.uk
    • lab head:
    Guadalupe Gomez Baena
    • contact affiliation: University of Liverpool
    • contact email: g.gomez-baena@liverpool.ac.uk
    • dataset submitter:

Full Dataset Link List

  1. Dataset FTP location
  2. PRIDE project URI
Repository Record List
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