Mouse age detection method based on stomach tissue methylation sequencing
Through the method based on gastric tissue DNA methylation sequencing, a mouse age detection model was constructed, which solved the problems of low age detection accuracy and complex operation in the prior art, and achieved high accuracy and simple operation age detection effect.
CN119685482APending Publication Date: 2025-03-25SUZHOU HEALTH COLLEGE
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Patent Information
- Application Number
- CN202411399881.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-09
- Publication Date
- 2025-03-25
AI Technical Summary
Technical Problem
The existing mouse age detection methods have problems such as low accuracy, complex operation and great influence from external factors, which are difficult to meet the needs of high accuracy and simple operation in aging research.
Method used
Using a method based on gastric tissue DNA methylation sequencing, a methylation age detection model was constructed through steps such as MspI enzyme digestion, leveling, bisulfite transformation and second-generation sequencing, and the age of mice was calculated.
Benefits of technology
High-precision age detection in mice was achieved, with relatively simple operation and less affected by external factors. The correlation between age detection and time and age is as high as 0.98.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to a mouse age detection method based on stomach tissue methylation sequencing. The mouse age detection method mainly comprises the following steps: (a) extracting genome DNA from stomach tissues; (b) carrying out MspI enzyme digestion on the genome DNA; (c) filling the enzyme-digested product in the step (b), adding A at the tail end, and adding a linker; (d) subjecting the product of step (c) to bisulfite conversion; (e) amplifying the product in the step (d), and recovering the target DNA fragment to obtain a methylation sequencing library; (f) performing next-generation sequencing and data analysis on the methylation sequencing library; and (g) substituting a data analysis result into a methylation age detection model formula to calculate the age of the mouse.
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