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An exogenous encoding sequence based on DNA data storage technology and its application in assisted reproductive
Zhiqing Huang1,2, Taoli Ding3, Zixuan Ni4
1Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, Fuzhou, 350001, China.
Biochemistry and Biophysics Reports
|March 11, 2025
Summary
A novel DNA data storage system uses exogenous encoding sequences (EES) to uniquely identify each in vitro cultured embryo. This method enhances sample traceability and prevents mix-ups in assisted reproductive technology (ART) and genetic testing labs.
Area of Science:
- Biotechnology
- Genetics
- Reproductive Medicine
Background:
- Assisted reproductive technology (ART) faces safety and ethical challenges due to sample confusion and contamination in laboratories.
- Current tracing systems are often inadequate for identifying the source of errors in high-volume PGT and third-party testing labs.
- This poses risks to fertility centers, testing facilities, and patient families.
Purpose of the Study:
- To develop an effective and feasible tracing system for in vitro cultured embryos.
- To prevent sample confusion and contamination in ART and genetic testing.
- To mitigate associated risks and ethical concerns.
Main Methods:
- Designed an exogenous encoding sequence (EES) based on DNA data storage technology for unique embryo identification.
- Verified EES amplification with embryo biopsy cells and detection via sequencing without impacting copy number variants (CNVs).
- Assessed EES's ability to detect contamination exceeding 5%.
Main Results:
- The EES provides a unique identifier for each embryo, effectively preventing mix-ups.
- EES is non-toxic, stable, and amplifiable with biopsy cells.
- The system reliably detects contamination from other samples.
- EES does not interfere with CNV analysis.
Conclusions:
- The EES is an effective and reliable tool for enhancing embryo safety in ART.
- This DNA data storage-based system can be implemented in fertility and third-party labs.
- It significantly reduces the risk of sample mix-ups and associated ethical issues.
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