Core Insights - DNA is considered a strong competitor for next-generation storage media due to its vast storage potential, but high error rates in synthesis technology hinder its practical application [1] - A research team from Tianjin University has developed a DNA storage framework called StairLoop, which aims to enhance data recovery performance in high-error-rate synthesis environments [2] Group 1: DNA Storage Potential - DNA is viewed as a highly promising storage medium due to its environmental friendliness, high stability, and large storage density, especially as data storage demands enter the "zettabyte era" [1] - The actual application of DNA data storage faces technical bottlenecks during synthesis, particularly with high scalability and low-cost methods like electrochemical synthesis, which often result in high nucleotide error rates and synthesis non-uniformity [1] Group 2: StairLoop Framework - The StairLoop framework employs a stair-step interleaved structure and iterative soft-decision decoding mechanism to effectively correct typical synthesis errors such as insertions, deletions, and substitutions without relying on complex multi-sequence alignment [2] - The framework also features parallel decoding capabilities, which enhance the efficiency of large-scale data retrieval [2] Group 3: Experimental Validation - The research team successfully encoded images of oracle bone inscriptions, representing early human civilization, into DNA using electrochemical DNA synthesis methods [2] - Despite some synthesis blocks having nucleotide error rates exceeding 6% and sequence loss rates over 30%, the StairLoop framework was able to accurately decode and fully restore the original images, demonstrating its effectiveness in high-error-rate environments [2] - This achievement provides technical support for the practical application of high-throughput technologies like electrochemical synthesis and is significant for the transition of DNA storage technology from laboratory to industrial application [2]
DNA电化学合成高错误率难题得解
Zhong Guo Hua Gong Bao·2025-10-27 02:44