PXD058234

PXD058234 is an original dataset announced via ProteomeXchange.

Title	Unveiling Multi-Omics and Immune Landscapes in COVID-19 Patients' Ovaries Microenvironment for Oocyte Competency Biomarkers Identification
Description	Background: The outbreak of coronavirus disease 2019 (COVID-19) poses a considerable health threat to humanity, with potential implications for the ovarian microenvironment remaining uncertain. Methods: Transcriptomic and proteomic analyses of ovarian granulosa cells, along with metabolomic and lipidomic profiling of follicular fluid, were conducted on 17 non-COVID-19 cases and 9 COVID-19 cases. This study received approval from the ethics committee (KYLL-2022-581). Generalized estimating equations model was performed to identify oocyte competency biomarkers. Additionally, cell proliferation, apoptosis, and altered pathways were examined following lentivirus transfection. Methods: Transcriptomic and proteomic analyses of ovarian granulosa cells, along with metabolomic and lipidomic profiling of follicular fluid, were conducted on 17 non-COVID-19 cases and 9 COVID-19 cases. This study received approval from the ethics committee (KYLL-2022-581). Generalized estimating equations model was performed to identify oocyte competency biomarkers. Additionally, cell proliferation, apoptosis, and altered pathways were examined following lentivirus transfection. Conclusions: By integrating untargeted metabolomic and lipidomic features, we identified biomarkers indicative of oocyte competency influenced by COVID-19.
HostingRepository	PRIDE
AnnounceDate	2025-05-07
AnnouncementXML	Submission_2025-05-07_05:51:55.999.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Chen Geng
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	autoflex

Revision	Datetime	Status	ChangeLog Entry
0	2024-11-25 07:02:55	ID requested
⏵ 1	2025-05-07 05:51:56	announced

10.1038/s41392-025-02156-4;

Geng C, Zhang M, Wang N, Li M, Cui L, SARS-CoV-2 compromises blastocyst quality by modifying the ovarian microenvironment. Signal Transduct Target Ther, 10(1):68(2025) [pubmed]

submitter keyword: COVID-19, Immune Landscapes, proteomics, ovary microenvironment

Chen Geng
contact affiliation	State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, the Second Hospital, Children and Reproductive Health, Shandong University
contact email	gcsduedu@163.com
lab head
Chen Geng
contact affiliation	State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, the Second Hospital, Children and Reproductive Health, Shandong University
contact email	gcsduedu@163.com
dataset submitter

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/2025/05/PXD058234

PRIDE project URI

• PRIDE
  1. PXD058234
     1. Label: PRIDE project
     2. Name: Unveiling Multi-Omics and Immune Landscapes in COVID-19 Patients' Ovaries Microenvironment for Oocyte Competency Biomarkers Identification