A machine learning-driven robotic system for autonomous nucleic acid extraction and library preparation.
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| Titel: | A machine learning-driven robotic system for autonomous nucleic acid extraction and library preparation. |
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| Autoren: | Lu J; School of Light Industry and Engineering, South China University of Technology, Guangzhou 510641, People's Republic of China; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China., Zhang Z; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China., Zhang S; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China., Ye Q; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China., Wang Y; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China., Chen J; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China., Sun G; Guangzhou Gaosheng Smart Manufacturing Technology Co., Ltd. Guangzhou 510000, People's Republic of China., Huang Z; Guangzhou Gaosheng Smart Manufacturing Technology Co., Ltd. Guangzhou 510000, People's Republic of China., Hou Y; College of Mathematics and Information Science, South China Agricultural University, Guangzhou 510642, China., Sun Z; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China., Dong J; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China., Qin J; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China., Chen X; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China., Mai S; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China., Gao M; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China., Zhang F; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China., Wen X; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China., Gu W; Department of Clinical Laboratory, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, People's Republic of China., Yu R; Guangzhou Gaosheng Smart Manufacturing Technology Co., Ltd. Guangzhou 510000, People's Republic of China., Zhao G; School of Light Industry and Engineering, South China University of Technology, Guangzhou 510641, People's Republic of China. Electronic address: glzhao@scut.edu.cn., Zhang X; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, People's Republic of China; GMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China. Electronic address: zhang_xiao@gibh.ac.cn. |
| Quelle: | SLAS technology [SLAS Technol] 2025 Dec; Vol. 35, pp. 100370. Date of Electronic Publication: 2025 Nov 20. |
| Publikationsart: | Journal Article |
| Sprache: | English |
| Info zur Zeitschrift: | Publisher: SAGE Publications Country of Publication: United States NLM ID: 101697564 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2472-6311 (Electronic) Linking ISSN: 24726303 NLM ISO Abbreviation: SLAS Technol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Thousand Oaks, CA : SAGE Publications, [2017]- |
| MeSH-Schlagworte: | Machine Learning* , Nucleic Acids*/isolation & purification , Robotics*/methods , Robotics*/instrumentation , Gene Library* , Automation, Laboratory*/methods, Humans |
| Abstract: | Nucleic acids, the fundamental building blocks of life, serve as versatile tools in genetic information retrieval, disease diagnosis, and biotechnological applications. The automated Intelligent Robotic System for Nucleic Acid Extraction and Library Preparation (iRoNAEaLP) tool represents a significant advancement in nucleic acid extraction and library preparation in an automated manner, addressing complexity and diversity while minimizing human involvement. Utilising machine learning algorithms and a Long Short-Term Memory (LSTM) architecture, iRoNAEaLP autonomously generates process flowcharts, predetermined reagents and consumable quantities, and aligns process steps with specific module actions via strategy-guided segmented program file arrangements. As a result, the biological outcome from this system has demonstrated high efficiency and large-scale data quality in various types of samples in terms of trace nucleic acid extraction, plasmid/genetic construct extraction, and single-cell and spatial omics, which require mRNA library preparation for smart-seq2 sequencing. This innovation paves the way for more efficient and accessible bioprocesses in various life science applications. (Copyright © 2025 The Author(s). Published by Elsevier Inc. All rights reserved.) |
| Contributed Indexing: | Keywords: Intelligent robotic system; Machine learning; Nucleic acid extraction; mRNA library preparation |
| Substance Nomenclature: | 0 (Nucleic Acids) |
| Entry Date(s): | Date Created: 20251122 Date Completed: 20251206 Latest Revision: 20251206 |
| Update Code: | 20251207 |
| DOI: | 10.1016/j.slast.2025.100370 |
| PMID: | 41274605 |
| Datenbank: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstract: | Nucleic acids, the fundamental building blocks of life, serve as versatile tools in genetic information retrieval, disease diagnosis, and biotechnological applications. The automated Intelligent Robotic System for Nucleic Acid Extraction and Library Preparation (iRoNAEaLP) tool represents a significant advancement in nucleic acid extraction and library preparation in an automated manner, addressing complexity and diversity while minimizing human involvement. Utilising machine learning algorithms and a Long Short-Term Memory (LSTM) architecture, iRoNAEaLP autonomously generates process flowcharts, predetermined reagents and consumable quantities, and aligns process steps with specific module actions via strategy-guided segmented program file arrangements. As a result, the biological outcome from this system has demonstrated high efficiency and large-scale data quality in various types of samples in terms of trace nucleic acid extraction, plasmid/genetic construct extraction, and single-cell and spatial omics, which require mRNA library preparation for smart-seq2 sequencing. This innovation paves the way for more efficient and accessible bioprocesses in various life science applications.<br /> (Copyright © 2025 The Author(s). Published by Elsevier Inc. All rights reserved.) |
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| ISSN: | 2472-6311 |
| DOI: | 10.1016/j.slast.2025.100370 |