自动化激光辅助单细胞分类用于细胞功能和RNA测序
Yuntong Wang1,2,3,4, Ying Xue5, Huan Wang1,2
1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, P. R. China.
ACS sensors
|January 22, 2025
概括
这项研究引入了一种使用激光诱导前移 (LIFT) 和微孔阵列进行高效细胞隔离的自动单细胞分类器. 这种先进的技术可确保精确的分类和高细胞可行性,用于下游单细胞分析.
科学领域:
- 生物技术是生物技术.
- 细胞生物学 细胞生物学
- 基因组学就是基因组学.
背景情况:
- 精确的单细胞分类对于分析细胞异质性和功能至关重要.
- 传统的方法,如手动微处理和光激活细胞分类,在吞吐量,效率,精度和细胞活力方面都有局限性.
- 目前的单细胞分析需要更先进的分类技术.
研究的目的:
- 开发和验证一个自动化,高效的单细胞分类器.
- 为了提高单细胞隔离效率,精度和下游应用的细胞可行性.
- 为了实现可靠的单细胞RNA测序和多组学分析.
主要方法:
- 激光诱导向前传输 (LIFT) 与高通量皮科升微孔阵列的集成.
- 微孔阵列的表面功能化,以控制液体表面张力并形成单细胞滴.
- 开发一个内部显微系统,使用LIFT自动识别和检索罕见的细胞.
- 排序转染的PC-9细胞和随后的细胞培养的演示.
主要成果:
- 使用微孔阵列实现了自动化和高效的单细胞隔离 (>80%).
- 证明了精确的分类效率 (约. 100%) 和高细胞活力 (约. 80%) 通过LIFT.通过罕见的细胞.
- 成功执行单细胞RNA测序,获得高质量的转录组数据,而由于排序不准确而没有额外的成本.
- 在稀有转染细胞的分类过程中,尽量减少细胞损失和污染风险.
结论:
- 开发的自动化单细胞分类器显著克服了传统方法的局限性.
- 这项技术使单细胞的有效和可靠的隔离成为可能,这对于推进单细胞分析和多组学至关重要.
- 该分类器通过促进精确的细胞分析,为精准医学研究提供了基础.
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