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PXD038210

PXD038210 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteomic analysis using TMT technology reveals the effect of Polyascus gregaria on hepatopancreatic oxidative stress and apoptosis in the male Chinese mitten crab (Eriocheir sinensis)
DescriptionDifferentially expressed proteins in the E. sinensis hepatopancreas were detected after P. gregaria infection using tandem mass tag technology. Gene Ontology and Kyoto En-cyclopedia of Genes and Genomes enrichment analyses showed that the differentially expressed proteins were closely related to oxidative stress and apoptosis. Pathological sections and liver bi-ochemical indicators indicated that the liver was damaged after P. gregaria infection in the hepatopancreas of E. sinensis. Furthermore, the hepatopancreas tissue showed increased oxidative stress and apoptosis in the liver cells. This study provides a theoretical basis for understanding the pathological mechanism of P. gregaria infection in E. sinensis hepatopancreas and may guide future research directions for the prevention and treatment of P. gregaria infection.
HostingRepositoryiProX
AnnounceDate2022-11-18
AnnouncementXMLSubmission_2022-11-17_20:06:51.322.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterChengcheng Feng
SpeciesList scientific name: Eriocheir sinensis; NCBI TaxID: 95602; scientific name: Polyascus gregaria; NCBI TaxID: 238043;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-11-17 20:06:27ID requested
12022-11-17 20:06:51announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: Eriocheir sinensis, Polyascus gregaria, TMT, oxidative stress, apoptosis
Contact List
Xiaodong Li
contact affiliationShenyang Agricultural University
contact emaillixiaodong@syau.edu.cn
lab head
Chengcheng Feng
contact affiliationShenyang Agricultural University
contact email2018500015@syau.edu.cn
dataset submitter
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