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PXD017604

PXD017604 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleComparative analysis of excretory–secretory products of muscle larvae of three isolates of Trichinella pseudospiralis by the iTRAQ method
Descriptionwe compared the differentially expressed proteins of excretory-secretory (ES) products in three isolates of T. pseudospiralis ML [muscle larvae from Russia (RUS), United States of America (USA) and Australia (AUS)] using isobaric tags for relative and absolute quantification (iTRAQ)-based technology.A total of 2,591 nonredundant proteins were identified, of which 65 (146), 72 (98) and 43 (103) significantly upregulated (downregulated) differentially expressed proteins were detected among pairwise comparisons (T4RUS vs T4USA, T4AUS vs T4USA and T4RUS vs T4AUS). In addition, GO annotation, KEGG and STRING analyses were carried out on the screened differentially altered proteins.
HostingRepositoryPRIDE
AnnounceDate2020-05-15
AnnouncementXMLSubmission_2020-05-15_03:53:51.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitteryang wang
SpeciesList scientific name: Trichinella pseudospiralis; NCBI TaxID: 6337;
ModificationListiTRAQ8plex-116 reporter+balance reagent acylated residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-02-19 01:41:37ID requested
12020-05-15 03:53:52announced
Publication List
Wang Y, Bai X, Tang B, Zhang Y, Zhang L, Cai X, Lin J, Jia W, Boireau P, Liu M, Liu X, Comparative analysis of excretory-secretory products of muscle larvae of three isolates of Trichinella pseudospiralis by the iTRAQ method. Vet Parasitol, 297():109119(2021) [pubmed]
Keyword List
submitter keyword: Trichinella pseudospiralis, iTRAQ, Excretory-secretory products, T cells, Muscle larvae, Proteomics.
Contact List
Xiaolei Liu
contact affiliationKey Laboratory of Zoonosis Research, Ministry of Education, Institute of Zoonosis, Jilin University, Changchun 130062, China.
contact email1208986415@qq.com
lab head
yang wang
contact affiliationstudent
contact email510550166@qq.com
dataset submitter
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Dataset FTP location
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