<<< Full experiment listing

PXD012731

PXD012731 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleQuantitative mass spectrometric analysis to unravel glycoproteomic signature of follicular fluid in women with polycystic ovary syndrome
DescriptionPolycystic ovary syndrome (PCOS) is a complex endocrinopathy affecting reproductive aged women, whose etiology has not been fully understood yet. The follicular growth is arrested at preantral stage leading to cyst formation, consequently resulting in anovulatory infertility in these women. As follicular fluid provides the microenvironment for the growing oocyte, molecular profiling of the fluid may provide unique information about pathophysiology associated with follicular development in PCOS. Modification with oligosaccharide chains are known to influence functions of several secreted proteins and these glycoproteins also play a role in disease pathology. The glycoproteomic profile of follicular fluid of PCOS has not been explored in PCOS yet. In the present study, we performed comparative glycoproteomic analysis by first enriching glycoproteins using three different lectins viz. concanavalin A, wheat germ agglutinin and Jacalin from follicular fluid of women with PCOS and controls undergoing in vitro fertilization. Peptides generated by trypsin digestion were labeled with isobaric tags for relative and absolute quantification reagents and analyzed by liquid chromatography tandem mass spectrometry. We identified 10 differentially expressed glycoproteins, in the follicular fluid of women with PCOS compared to control. Two important differentially expressed proteins- SERPINA1 and ITIH4, were consistently upregulated and downregulated respectively, upon validation by Western blotting in follicular fluid and real-time polymerase chain reaction in granulosa cells. These proteins play a role in angiogenesis and extracellular matrix stabilization which are vital for follicle maturation. In conclusion, comparative glycoprotein profiling of follicular fluid from women with PCOS and controls revealed altered expression of proteins which may contribute to defects in follicle development in PCOS pathophysiology.
HostingRepositoryPRIDE
AnnounceDate2019-03-22
AnnouncementXMLSubmission_2019-04-12_01:00:25.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterSrabani Mukherjee
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListiTRAQ8plex-116 reporter+balance reagent acylated residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentOrbitrap Fusion
Dataset History
RevisionDatetimeStatusChangeLog Entry
02019-02-15 05:06:08ID requested
12019-03-22 05:04:51announced
22019-04-12 01:00:26announcedUpdated publication reference for PubMed record(s): 30946770.
Publication List
Patil K, Yelamanchi S, Kumar M, Hinduja I, Prasad TSK, Gowda H, Mukherjee S, Quantitative mass spectrometric analysis to unravel glycoproteomic signature of follicular fluid in women with polycystic ovary syndrome. PLoS One, 14(4):e0214742(2019) [pubmed]
Keyword List
curator keyword: Biomedical
submitter keyword: ovarian pathophysiology, follicular fluid quantitative glycoproteomics, mass spectrometry, infertility
Contact List
Dr. Srabani Mukherjee
contact affiliationDepartment of Molecular Endocrinology, National Institute for Research in Reproductive Health, Indian Council of Medical Research, Mumbai 400012, India
contact emailsrabanimuk@yahoo.com
lab head
Srabani Mukherjee
contact affiliationDepartment of Molecular Endocrinology, National Institute for Research in Reproductive Health, Indian Council of Medical Research, Mumbai 400012, India
contact emailsrabanimuk@yahoo.com
dataset submitter
Full Dataset Link List
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2019/03/PXD012731
PRIDE project URI
Repository Record List
[ + ]