単一哺乳類細胞の高速マルチモーダル解析・選別技術を開発 (DCP-Based Platform Enables High-Throughput Multimodal Analysis and Sorting of Single Mammalian Cells)

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026-05-25 中国科学院(CAS)

中国科学院(Chinese Academy of Sciences)青島生物能源・バイオプロセス技術研究所(QIBEBT)の研究チームは、単一哺乳類細胞を高効率で解析・回収できるマイクロ流体プラットフォーム「DCP(Digital Colony Picker)」を開発した。装置は、単一細胞捕捉、培養、蛍光・明視野観察、標的細胞回収までを一体化し、細胞ごとの機能差を詳細に解析できる。研究では、8,192個の並列トラップ構造を持つ低コストPDMS-ITOガラスチップを設計し、直径10~20μmの細胞で93%以上の単一細胞捕捉効率を達成した。さらにレーザー誘導マイクロバブル技術により、目的細胞を97%以上の効率で回収し、全ゲノム増幅やサンガーシーケンスにも成功した。マクロファージの活性酸素種(ROS)応答解析では、細胞間で大きな機能差が存在することも確認された。研究は、免疫応答、がん進行、薬剤効果などに関わる細胞不均一性研究を加速する技術として期待されている。

単一哺乳類細胞の高速マルチモーダル解析・選別技術を開発 (DCP-Based Platform Enables High-Throughput Multimodal Analysis and Sorting of Single Mammalian Cells)
he Digital Colony Picker (DCP)-based platform integrates single-cell capture, real-time detection and target-cell sorting for mammalian cells (Image by LI Xiuyun)

<関連情報>

単一哺乳類細胞のハイスループット分析および選別を行うための統合プラットフォーム An integrated platform for high-throughput analysis and sorting of single mammalian cells

Xiuyun Li, Anle Ge, Zhidian Diao, Wenjie Zhao, Lingyan Kan, Sijun Luo, Wei Gao, Xixian Wang, Jian Xu, Bo Ma
Sensors and Actuators B: Chemical  Available online 5 May 2026
DOI:https://doi.org/10.1016/j.snb.2026.140118

Highlights

  • Integrated microfluidic platform combining cell capture, in situ incubation, online detection, and target sorting.
  • Curved channels and micro-arrayed structures enabling high-efficiency capture of mammalian cells.
  • Laser-induced microbubble technology for cost-effective and precise target cell sorting.

Abstract

Single mammalian cell heterogeneity plays a critical role in biological research. However, current microfluidic platforms for single-cell analysis still face the challenge of simultaneously achieving high-efficiency capture, cost-effective target cell sorting, and functional integration. To overcome these challenges, we developed a novel microfluidic platform for high-throughput single-cell analysis and sorting. This platform integrates multiple functions, including high-efficiency capture, online incubation, in situ detection, and target sorting. The chip employs a cost-effective polydimethylsiloxane-indium tin oxide (PDMS-ITO) glass configuration with arrayed capture microstructures, achieving average capture efficiency exceeding 93% for mammalian cells (RAW264.7, HCT116, and MCF7) across a size range of approximately 10–20 μm. The platform allows online incubation and artificial intelligence (AI)-assisted detection using both bright-field and fluorescent imaging. Cell viability rates consistently exceeded 80% after 24 h incubation and live/dead staining. A laser-induced microbubble strategy enabled precise releasing target single cells which were subsequently collected in a 96-well plate. In addition, the platform was applied to evaluate heterogeneity in reactive oxygen species (ROS) responses among macrophages, revealing intercellular differences under stimulation. This high-throughput, cost-effective platform combines high capture efficiency, advanced detection, and cell sorting functionality, demonstrating its utility for single mammalian cell heterogeneity studies and downstream applications.

細胞遺伝子工学
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