解码非标准核苷酸的未来：利用纳米孔测序扩展遗传密码
The Future of Decoding Non-Standard Nucleotides: Leveraging Nanopore Sequencing for Expanded Genetic Codes
AI总结：
本文阐述纳米孔测序凭借直接测量、实时长读长且无需扩增或合成的优势，可识别标准与非标准核苷酸，从而推动 AEGIS 等扩展遗传密码的解码与应用。
摘要：
将遗传密码从天然标准核苷酸扩展到人工非标准核苷酸，标志着合成生物学的一项重大进展，并对生物技术和医学具有深远意义。解码这些非标准核苷酸中编码的生物信息带来了新的挑战，因为传统测序技术无法识别或解释新型碱基配对。在这一观点文章中，我们探讨了纳米孔测序的潜力；该技术通过直接测量核酸的生物物理特性，独特地适合解读标准和非标准核苷酸。纳米孔技术提供实时、长读长测序，且无需扩增或合成，因此对 Artificially Expanded Genetic Information Systems（AEGIS，人工扩展遗传信息系统）等扩展遗传系统尤其有利。我们讨论了纳米孔测序的适应性以及数据处理的进步如何释放这些合成基因组的潜力，并在理解和利用扩展遗传密码方面开辟新前沿。
英文摘要：
Expanding genetic codes from natural standard nucleotides to artificial non-standard nucleotides marks a significant advancement in synthetic biology, with profound implications for biotechnology and medicine. Decoding the biological information encoded in these non-standard nucleotides presents new challenges, as traditional sequencing technologies are unable to recognize or interpret novel base pairings. In this perspective, we explore the potential of nanopore sequencing, which is uniquely suited to decipher both standard and non-standard nucleotides by directly measuring the biophysical properties of nucleic acids. Nanopore technology offers real-time, long-read sequencing without the need for amplification or synthesis, making it particularly advantageous for expanded genetic systems like Artificially Expanded Genetic Information Systems (AEGIS). We discuss how the adaptability of nanopore sequencing and advancements in data processing can unlock the potential of these synthetic genomes and open new frontiers in understanding and utilizing expanded genetic codes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
