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Unveiling Multi-Omics and Immune Landscapes in COVID-19 Patients' Ovaries Microenvironment for Oocyte Competency Biomarkers Identification

ABSTRACT: Unveiling Multi-Omics and Immune Landscapes in COVID-19 Patients' Ovaries Microenvironment for Oocyte Competency Biomarkers Identification

PROVIDER: PRJNA1190953 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR31517670_1.fastq.gz	Fastqsanger.gz
	SRR31517670_2.fastq.gz	Fastqsanger.gz
	SRR31517671_1.fastq.gz	Fastqsanger.gz
	SRR31517671_2.fastq.gz	Fastqsanger.gz
	SRR31517672_1.fastq.gz	Fastqsanger.gz

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Unveiling Multi-Omics and Immune Landscapes in COVID-19 Patients' Ovaries Microenvironment for Oocyte Competency Biomarkers Identification

Project 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.

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