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Dataset Identifier

Metadata
datasetIdentifierPASS01290
datasetTypeSRM
submitterDingyin Tao <dingyin.tao@nih.gov>
submitter_organizationW. Harry Feinstone Department of Molecular Microbiology & Immunology, Johns Hopkins Bloomberg School of Public Health
lab_head_full_nameRhoel R. Dinglasan
lab_head_emailrdinglasan@epi.ufl.edu
lab_head_organizationEMERGING PATHOGENS INSTITUTE, University of Florida
lab_head_countryUnited States
datasetTagPSSP17
datasetTitle364 MRM RAW data for paper: A saliva-based rapid test to quantify the infectious subclinical malaria parasite reservoir
publicReleaseDate2018-11-15 00:00:00
finalizedDate2018-11-13 08:44:38
summaryA large proportion of ongoing malaria parasite transmission is attributed to low density, subclinical infections not readily detected by available rapid diagnostic tests (RDTs) or microscopy. Plasmodium falciparum gametocyte carriage is subclinical but gametocytemic individuals comprise the parasite reservoir that leads to infection of mosquitoes and local transmission. Effective detection and quantification of these carriers can help advance malaria elimination strategies. However, no point- of -need (PON) RDTs for gametocyte detection exist, much less one that is based on thecan perform non-invasive sampling of saliva outside a clinical setting. Here, we report on the discovery of 35 parasite biomarkers and thefrom which we down-selection selected to a single candidate for use in a PON RDT. We performed a cross-sectional, multi-OMICs study of saliva from 364 subclinical children with subclinical infection in Cameroon and Zambia and produced a prototype saliva-based PON lateral flow-immunoassay test for P. falciparum gametocyte carriers. The test that is capable of identifying submicroscopic carriage in both clinical and non-clinical settings, and is effective compatible with archived saliva samples.
contributorsDingyin Tao and Rhoel R. Dinglasan
publicationunpublished
growth
treatment
extraction
separation
digestion
acquisition
informatics
instrumentsAgilent 6490 QQQ
speciesHuman, Plasmodium falciparum
massModificationsNone

Official URL for this dataset: http://www.peptideatlas.org/PASS/PASS01290
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Servername: ftp.peptideatlas.org
Username: PASS01290
Password: RK4994gpo

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Listing of files:

 1.7K Nov 12  2018 PASS01290_DESCRIPTION-2018-10-12_202224.txt
 1.7K Nov 13  2018 PASS01290_DESCRIPTION-2018-10-13_084218.txt
 1.7K Nov 13  2018 PASS01290_DESCRIPTION.txt
  25K Nov 12  2018 PASSEL_transition_list_PSSP17.xls
 273M Nov 12  2018 PSSP17 RAW data.zip

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