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PXD037243

PXD037243 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleNovel insights into Strongyloides stercoralis third stage infective larvae proteome
DescriptionBackground - Strongyloidiasis is a neglected tropical disease affecting an estimated 600 million people, particularly in resource-limited settings. The infection can persist lifelong due to Strongyloides stercoralis peculiar auto-infective cycle. The cumbersome diagnosis and the limited knowledge of the mechanisms underpinning this chronic infection are key issues in the disease management. To date, only a few proteomics studies have been conducted to elucidate the molecular mechanisms associated with Strongyloides parasitism or to highlight novel immunological markers and our knowledge of S. stercoralis proteome still limited. Methods - S. stercoralis infective larvae (iL3) we isolated from a faecal sample from an infected subject and analysed by high-throughput tandem mass spectrometry. To achieve a more comprehensive characterisation of iL3 proteome the experimental dataset was analysed through an automatic search strategy combined with manual annotation, which included gene ontology (GO) analysis, InterPro annotation, assessment of the homology with Homo sapiens and other pathogens of clinical importance and B-cell epitope prediction. Results – Our pipeline identified 430 S. stercoralis proteins, 187 (43%) of which corresponded to uncharacterized proteins. Oxidoreductases and peptidases were amongst the most represented protein categories as highlighted by GO analyses (molecular function terms); while membrane and mitochondrial proteins were the most represented cellular component GO categories. In our dataset we also identified a high proportion of proteins bearing CAP, SCP or thioredoxin domain or belonging to cysteine-rich secretory, transthyretin-like or peptidase protein families, confirming previous data on the most represented proteins associated with S. stercoralis parasitism, as inferred from genomic and transcriptomic data. Finally, we also highlighted 9 proteins bearing amino acid sequences with immunogenic properties that might represent novel candidates for serological tests. Conclusions – Here we provide a comprehensive description and annotation of S. stercoralis iL3 proteome and propose some proteins as potentially immunogenic, to be evaluated as novel serological diagnostic markers. In order to highlight novel targets to improve current serodiagnosis and treatment, it is in fact fundamental to expand the molecular understanding derived from ‘omics studies beyond the current state of the art.
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_08:37:36.607.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterMarcello Manfredi
SpeciesList scientific name: Strongyloides stercoralis; NCBI TaxID: 6248;
ModificationListmonohydroxylated residue; iodoacetamide derivatized residue
InstrumentTripleTOF 5600
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-10-10 07:32:08ID requested
12023-03-10 23:06:03announced
22023-11-14 08:37:37announced2023-11-14: Updated project metadata.
Publication List
Dishnica K, Piubelli C, Manfredi M, Kondaveeti RT, Longoni SS, Degani M, Buonfrate D, Giorgetti A, Tiberti N, Novel insights into the somatic proteome of Strongyloides stercoralis infective third-stage larvae. Parasit Vectors, 16(1):45(2023) [pubmed]
Keyword List
submitter keyword: larvae, feces,Strongyloides stercoralis, diagnosis, Strongyloidiasis, proteome
Contact List
Marcello Manfredi
contact affiliationBiological Mass Spectrometry Lab, Department of Translational Medicine (DiMeT), Center for Translational Research on Autoimmune & Allergic Diseases - CAAD University of Piemonte Orientale, Novara, Italy
contact emailmarcello.manfredi@uniupo.it
lab head
Marcello Manfredi
contact affiliationUniversity of Eastern Piedmont
contact emailmarcello.manfredi@uniupo.it
dataset submitter
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