<<< Full experiment listing

PXD031472

PXD031472 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleComprehensive Analysis of Quantitative Proteomics with DIA Mass Spectrometry and ceRNA Network in Intrahepatic Cholestasis of Pregnancy
DescriptionIn this study, we analyze protein expression in placenta of ICP and normal pregnancies via quantitative proteomics of data-independent acquisition (DIA). Our results showed that compared with normal placenta, the differentially expressed proteins in ICP were involved in autophagosome regulation. Among the top 24 differentially expressed proteins, HBG1, SPI1, HBG2, HBE1, FOXK1, KRT72, SLC13A3, MBD2, SP9, GPLD1, MYH7 and BLOC1S1 were associated with ICP development significantly, furthermore, MBD2, SPI1, FOXK1, SLC13A3 was regulated by multiple miRNAs and lncRNAs. On the whole, our study on ICP might provide potential drug targets to improve adverse pregnancy outcomes of ICP patients.
HostingRepositoryiProX
AnnounceDate2022-02-07
AnnouncementXMLSubmission_2022-11-03_19:38:31.404.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterYan Fang
SpeciesList scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-02-06 19:53:46ID requested
12022-11-03 19:38:32announced
Publication List
Fang D, Fang Y, Zhang W, Xiang Y, Cheng X, Liang M, Xia H, Comprehensive Analysis of Quantitative Proteomics With DIA Mass Spectrometry and ceRNA Network in Intrahepatic Cholestasis of Pregnancy. Front Cell Dev Biol, 10():854425(2022) [pubmed]
Keyword List
submitter keyword: Intrahepatic cholestasis of pregnancy, Quantitative proteomics, Competing endogenous RNA (ceRNA) Network, Target therapy
Contact List
Huimin Xia
contact affiliationGuangzhou Women and Children's Medical Center
contact emailxia-huimin@foxmail.com
lab head
Yan Fang
contact affiliationGuangzhou Women and Children's Medical Center
contact email18602762832@163.com
dataset submitter
Full Dataset Link List
iProX dataset URI