Applying machine learning for multi-individual Raman spectroscopic data to identify different stages of proliferating human hepatocytes
文献类型：期刊论文
| 作者 | Shen, Bihan2,4; Ma, Chen2,3; Tang, Lili1; Wu, Zhitao1,3; Peng, Zhaoliang2,3; Pan, Guoyu1,2,3 ; Li, Hong2,4
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| 刊名 | ISCIENCE
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| 出版日期 | 2024-04-19 |
| 卷号 | 27期号:4页码:15 |
| DOI | 10.1016/j.isci.2024.109500 |
| 通讯作者 | Pan, Guoyu(gypan@simm.ac.cn) ; Li, Hong(lihong01@sinh.ac.cn) |
| 英文摘要 | Cell therapy using proliferating human hepatocytes (ProliHHs) is an effective treatment approach for advanced liver diseases. However, rapid and accurate identification of high -quality ProliHHs from different donors is challenging due to individual heterogeneity. Here, we developed a machine learning framework to integrate single -cell Raman spectroscopy from multiple donors and identify different stages of ProliHHs. A repository of more than 14,000 Raman spectra, consisting of primary human hepatocytes (PHHs) and different passages of ProliHHs from six donors, was generated. Using a sliding window algorithm, potential biomarkers distinguishing the different cell stages were identified through differential analysis. Leveraging machine learning models, accurate classification of cell stages was achieved in both within -donor and cross -donor prediction tasks. Furthermore, the study assessed the relationship between donor and cell numbers and its impact on prediction accuracy, facilitating improved quality control design. A similar workflow can also be extended to encompass other cell types. |
| WOS关键词 | HEPATIC STEM/PROGENITOR CELLS ; LIVER ; REPOPULATION ; THERAPY |
| 资助项目 | National Natural Science Foundation of China[T2122018] ; National Natural Science Foundation of China[32170680] ; National Natural Science Foundation of China[82173878] ; National Key R&D Program of China[2021YFF1200900] ; Shanghai Municipal Science and Technology Major Project ; CAS Youth Innovation Promotion Association[Y2022076] ; The Organ Reconstruction and Manufacturing Strategic Priority Research Program of the Chinese Academy of Sciences[DA16020205] ; Independent Deployment Program of the Institute of Pharmaceutical Innovation of the Chinese Academy of Sciences[LX211004] ; Development fund for Shanghai talents ; Lijian Hui (Center for Excellence in Molecular Cell Science, CAS, China) ; Ruimin Huang (Shanghai Institute of Materia Medica, Chinese Academy of Sciences) ; Mengya Lin (School of Life Sciences and Biotechnology, Shanghai Jiao Tong University) ; Jiaying Chen (School of Chemistry and Chemical Engineering, South China University of Technology) ; Zhikang Li (School of Chemical Science and Engineering, Tongji University) |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001227351500001 |
| 出版者 | CELL PRESS |
| 源URL | [http://119.78.100.183/handle/2S10ELR8/311255]  |
| 专题 | 中国科学院上海药物研究所 |
| 通讯作者 | Pan, Guoyu; Li, Hong |
| 作者单位 | 1.Nanjing Univ Chinese Med, Sch Chinese Mat Med, Nanjing 210023, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Shanghai Inst Mat Med, Shanghai 201203, Peoples R China 4.Chinese Acad Sci, Shanghai Inst Nutr & Hlth, Shanghai 200031, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shen, Bihan,Ma, Chen,Tang, Lili,et al. Applying machine learning for multi-individual Raman spectroscopic data to identify different stages of proliferating human hepatocytes[J]. ISCIENCE,2024,27(4):15. |
| APA | Shen, Bihan.,Ma, Chen.,Tang, Lili.,Wu, Zhitao.,Peng, Zhaoliang.,...&Li, Hong.(2024).Applying machine learning for multi-individual Raman spectroscopic data to identify different stages of proliferating human hepatocytes.ISCIENCE,27(4),15. |
| MLA | Shen, Bihan,et al."Applying machine learning for multi-individual Raman spectroscopic data to identify different stages of proliferating human hepatocytes".ISCIENCE 27.4(2024):15. |
入库方式： OAI收割
来源：上海药物研究所
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