MiRNA marker related to endometrial receptivity auxiliary diagnosis and application of miRNA marker
An endometrium and auxiliary diagnosis technology, which is applied in the fields of genetic engineering and reproductive medicine, can solve problems such as time-consuming, maternal damage, tolerance error, etc., and achieve the effect of avoiding damage and preventing interference
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0043] A miRNA marker for auxiliary diagnosis of endometrial receptivity, including hsa-miR-16-2-3p, hsa-miR-92b-5p, hsa-miR-130a-3p, has-miR-9024-3p miRNA and its primers.
[0044] In order to further realize the purpose of fast and accurate, the primer of described miRNA comprises the primer of hsa-miR-16-2-3p as shown in SEQ ID No.1, the primer of hsa-miR-92b-5p is as shown in SEQ ID No.2 As shown, the primers of hsa-miR-130a-3p are shown in SEQ ID No.3, and the primers of has-miR-9024-3p are shown in SEQ ID No.4; by limiting the marker primers of miRNA, specific screening The last four primers are the detection basis, and the primers for compound detection can be constructed, so that a large number of miRNA sequences to be detected can be amplified, so that the detection data sample is large enough, so as to achieve the purpose of fast and accurate.
[0045] In order to further realize the accurate purpose, described miRNA comprises the marker sequence of hsa-miR-16-2-3p ...
Embodiment 2
[0066] By finally determining the content data of different miRNAs in different periods, the ROC curve of the combination of four miRNA markers was constructed by multiple regression analysis. The four miRNAs (hsa-miR-16-2-3p, hsa-miR-92b-5p, hsa -miR-130a-3p, has-miR-9024-3p) combination produces the largest area under the ROC curve (AUC) as Figure 5 As shown, the AUC value of the curve in the figure is 0.857, the threshold value is 2.51, the sensitivity is 83.33, and the specificity is 85.71. At the same time, the curve is deduced to obtain the prediction index:
[0067] Prediction index=CT value of 0.4167*(miR-16-2-3p)+CT value of 0.1651*(miR-92b-5p)+CT value of 0.3273*(miR-130a-3p)+0.0909*(miR-9025 -3p) CT value.
[0068] Predict the receptivity of the entire sample through the predictive index, test with the sample on the day of LH=5, randomly select 200 samples, and compare the actual test data, the accuracy rate can reach 85%, which shows the superiority of the presen...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com