| Accession |
PRJCA030527 |
| Title |
Multi-omics approach to reveal follicular metabolic changes and their effects on oocyte competence in PCOS patients |
| Relevance |
Medical |
| Data types |
metabonomics
|
| Organisms |
Homo sapiens
|
| Description |
Metabolomic analysis was performed using liquid chromatography-mass spectrometry (LC-MS) following established protocols. Quality control samples were prepared by pooling equal volumes of each sample to assess the stability and reproducibility of the untargeted metabolic analysis. The current untargeted metabolic analysis was performed via LC-MS. For LC-MS, an ACQUITY UPLC I-Class plus system coupled with QE plus Mass spectrometer was used to analyze the metabolic profiling in both ESI positive and ESI negative ion modes. An ACQUITY UPLC HSS T3 was employed in both positive and negative modes. All raw data were imported into Progenesis QI v3.0 software for further identification processing. The missing values in the raw data were filled by using half of the minimum value. The identification of metabolites from by LC-MS was performed based on the Human Metabolome Database (HMDB), Metlin, PMDB, and self-built databases. |
| Sample scope |
human ovary follicular fluid |
| Release date |
2024-10-05 |
| Publication |
| PubMed ID |
Article title |
Journal name |
DOI |
Year |
|
|
Multi-omics approach to reveal follicular metabolic changes and their effects on oocyte competence in PCOS patients
|
Frontiers in Endocrinology
|
10.3389/fendo.2024.1426517
|
2024
|
|
|
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| The Guangdong Basic and Applied Basic Research Foundation
|
|
2022A1515220206
|
|
|
|
| Submitter |
Yuezhou
Chen (yzchen415@126.com)
|
| Organization |
Zhongshan City Peoples Hospital |
| Submission date |
2024-09-25 |
