Method for evaluating or assisting in evaluating ovarian cells and marker used by method
An oocyte and auxiliary identification technology, applied in the field of biomedicine, can solve the problems of age-related decline in female reproductive capacity and no obvious improvement in the aging process of ovarian tissue.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0111] Example 1. Acquisition of cynomolgus monkey single-cell sequencing library (including cynomolgus monkey oocyte sequencing library and cynomolgus monkey ovary somatic cell sequencing library)
[0112] Schematic diagram of the construction and analysis of cynomolgus monkey single-cell sequencing library, see figure 1 .
[0113] 1. Obtaining Cynomolgus Monkey Cell Suspension
[0114] According to the average life expectancy of cynomolgus monkeys and its corresponding relationship with human age, the young group consists of 4 (female) cynomolgus monkeys aged 4-5, and the old group consists of 4 (female) cynomolgus monkeys aged 18-20. Group. All cynomolgus monkeys underwent physical examination, including the measurement of basic parameters (such as body mass index (BMI)), the detection of biochemical indicators (such as blood routine, urine routine), and the examination of important internal organs such as brain MRI and heart. Ultrasonography was performed to confirm tha...
Embodiment 2
[0141] Example 2. Acquisition and detection of oocyte molecular markers
[0142] 1. Bioinformatics analysis to obtain oocyte molecular markers
[0143] Using the cynomolgus monkey genome Macaca_fascicularis_5.0 (Ensemble) as a reference, compare the sequencing data after quality control, count the unique comparison read length, and split it into different cell data. The cells are oocytes and somatic cells. Somatic cells Including stromal cells, smooth muscle cells, granulosa cells, endothelial cells, natural killer T cells, macrophages, etc.). A single molecule is marked with a unique molecular number, the amplification bias is corrected, and the single-cell expression map of cynomolgus monkey ovary is obtained. Search for highly variable genes through the Seurat software package, perform nonlinear dimensionality reduction (t-SNE) on these genes in the measured cells based on the gene group, perform clustering through the Find Clusters function of the Seurat software package ...
Embodiment 3
[0153] Example 3. Acquisition and detection of early oocyte molecular markers
[0154] Early oocytes are compact oocytes in primordial follicles surrounded by a single layer of flat granulosa cells, or larger oocytes in primary follicles surrounded by a single layer of cuboidal granulosa cells (secondary follicles). Middle and late oocytes are larger oocytes surrounded by at least a partial or complete second layer of cuboidal granulosa cells, or larger oocytes in cystic follicles with follicular fluid or cystic structures ( Antral follicles).
[0155] 1. Bioinformatics analysis to obtain early oocyte molecular markers
[0156] 1. PCA analysis of data from cynomolgus monkey oocyte sequencing library.
[0157] PCA analysis results see Figure 4 Middle A. The results showed that oocytes were divided into 4 subpopulations, C1-C4.
[0158] 2. Detect the relative expression of ZP1 gene, WEE2 gene, DNMT1 gene, ATP6 gene, FIGLA gene and SOX17 gene in the four subgroups respectiv...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


