MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, Fujian 361005, People's Republic of China.
School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China.
ACS Appl Mater Interfaces. 2024 Sep 18;16(37):48870-48879. doi: 10.1021/acsami.4c12102. Epub 2024 Sep 10.
DNA amplification technologies have significantly advanced biotechnology, particularly in DNA storage. However, adaptation of these technologies to DNA storage poses substantial challenges. Key bottlenecks include achieving high throughput to manage large data sets, ensuring rapid and efficient DNA amplification, and minimizing bias to maintain data fidelity. This perspective begins with an overview of natural and artificial amplification strategies, such as polymerase chain reaction and isothermal amplification, highlighting their respective advantages and limitations. It then explores the prospective applications of these techniques in DNA storage, emphasizing the need to optimize protocols for scalability and robustness in handling diverse digital data. Concurrently, we identify promising avenues, including advancements in enzymatic processes and novel amplification methodologies, poised to mitigate existing constraints and propel the field forward. Ultimately, we provide insights into how to utilize advanced DNA amplification strategies poised to revolutionize the efficiency and feasibility of data storage, ushering in enhanced approaches to data retrieval in the digital age.
DNA 扩增技术极大地推动了生物技术的发展，尤其是在 DNA 存储领域。然而，将这些技术应用于 DNA 存储还面临着重大挑战。关键的瓶颈包括实现高吞吐量以处理大型数据集，确保快速高效的 DNA 扩增，并最小化偏差以保持数据保真度。本观点首先概述了自然和人工扩增策略，如聚合酶链式反应和等温扩增，突出了它们各自的优缺点。然后探讨了这些技术在 DNA 存储中的潜在应用，强调需要优化协议以实现可扩展性和处理各种数字数据的稳健性。同时，我们确定了有前途的途径，包括酶过程的进步和新的扩增方法，以减轻现有限制并推动该领域的发展。最终，我们提供了如何利用先进的 DNA 扩增策略的见解，这些策略有望提高数据存储的效率和可行性，为数字时代的数据检索带来更先进的方法。
