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Chen X, Fan K, Lu J, Zhang S, Dong J, Qin J, Fan W, Wang Y, Zhang Y, Peng H, Zhang Z, Sun Z, Yu C, Xiong Y, Song Y, Ye Q, Mai S, Wang Y, Wang Q, Zhang F, Wen X, Zhou T, Han L, Long M, Pan G, Burke JF, Zhang X. Selecting Monoclonal Cell Lineages from Somatic Reprogramming Using Robotic-Based Spatial-Restricting Structured Flow. Research (Wash D C) 2024; 7:0338. [PMID: 38464498 PMCID: PMC10923610 DOI: 10.34133/research.0338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 02/19/2024] [Indexed: 03/12/2024]
Abstract
Somatic cell reprogramming generates induced pluripotent stem cells (iPSCs), which serve as a crucial source of seed cells for personalized disease modeling and treatment in regenerative medicine. However, the process of reprogramming often causes substantial lineage manipulations, thereby increasing cellular heterogeneity. As a consequence, the process of harvesting monoclonal iPSCs is labor-intensive and leads to decreased reproducibility. Here, we report the first in-house developed robotic platform that uses a pin-tip-based micro-structure to manipulate radial shear flow for automated monoclonal iPSC colony selection (~1 s) in a non-invasive and label-free manner, which includes tasks for somatic cell reprogramming culturing, medium changes; time-lapse-based high-content imaging; and iPSCs monoclonal colony detection, selection, and expansion. Throughput-wise, this automated robotic system can perform approximately 24 somatic cell reprogramming tasks within 50 days in parallel via a scheduling program. Moreover, thanks to a dual flow-based iPSC selection process, the purity of iPSCs was enhanced, while simultaneously eliminating the need for single-cell subcloning. These iPSCs generated via the dual processing robotic approach demonstrated a purity 3.7 times greater than that of the conventional manual methods. In addition, the automatically produced human iPSCs exhibited typical pluripotent transcriptional profiles, differentiation potential, and karyotypes. In conclusion, this robotic method could offer a promising solution for the automated isolation or purification of lineage-specific cells derived from iPSCs, thereby accelerating the development of personalized medicines.
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Affiliation(s)
- Xueping Chen
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Ke Fan
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Jun Lu
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
- School of Light Industry and Engineering,
South China University of Technology, Guangzhou 510641, People’s Republic of China
| | - Sheng Zhang
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Jianhua Dong
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Jisheng Qin
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Weihua Fan
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Yan Wang
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Yiyuan Zhang
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Huo Peng
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Zhizhong Zhang
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Zhiyong Sun
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Chunlai Yu
- University of Electronic Science and Technology of China, Chengdu 611731, People’s Republic of China
| | - Yucui Xiong
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Yan Song
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Qingqing Ye
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Shiwen Mai
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Yuanhua Wang
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Qizheng Wang
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Fengxiang Zhang
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Xiaohui Wen
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Tiancheng Zhou
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Li Han
- Institute of Electrical Engineering,
Chinese Academy of Sciences, Beijing 100190, People’s Republic of China
| | - Mian Long
- Institute of Mechanics,
Chinese Academy of Sciences, Beijing 100190, People’s Republic of China
| | - Guangjin Pan
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
| | - Julian F. Burke
- Biological Sciences,
University of Southampton, University Road, Southampton SO17 1BJ, UK
| | - Xiao Zhang
- Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health,
Chinese Academy of Sciences, Guangzhou 510530, People’s Republic of China;
Guangzhou Medical University, Guangzhou 511436, People’s Republic of China
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