Sample-to-analysis platform for rapid intracellular mass spectrometry from small numbers of cells.
Sample-to-analysis platform for rapid intracellular mass spectrometry from small numbers of cells.
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DOI：
10.1039/d1lc00884f
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发表时间：
2021-11-25
期刊：
影响因子：
6.1
通讯作者：
Fedorov AG
中科院分区：
文献类型：
--
作者：
Culberson AL;Chilmonczyk MA;Kottke PA;Bowles-Welch AC;Ghoshal D;Fedorov AG
细胞内生化状态的实时、先进诊断仍然是基于细胞疗法的研发、生产和应用的重大挑战。这些先进疗法的基本生化过程和作用机制在很大程度上仍是未知的，包括与治疗功能、性能和效力相关的关键质量属性，以及影响整个细胞疗法制造质量的关键工艺参数。一个集成的微流控平台已经开发用于在线分析少量细胞通过直接注入纳米电喷雾电离质谱。该平台的核心是一个微型细胞处理装置，该装置从直接从细胞培养系统中取出的有限体积的样品中制备细胞。样品-分析工作流程克服了现有的用于分析细胞的质谱方法的劳动密集型、耗时和破坏性的性质。通过提供细胞内状态的快速、高通量分析，该平台能够无针对性地发现关键质量属性及其实时、过程中监测。
Real-time, advanced diagnostics of the biochemical state within cells remains a significant challenge for research and development, production, and application of cell-based therapies. The fundamental biochemical processes and mechanisms of action of such advanced therapies are still largely unknown, including the critical quality attributes that correlate to therapeutic function, performance, and potency and the critical process parameters that impact quality throughout cell therapy manufacturing. An integrated microfluidic platform has been developed for in-line analysis of a small number of cells via direct infusion nano-electrospray ionization mass spectrometry. Central to this platform is a microfabricated cell processing device that prepares cells from limited sample volumes removed directly from cell culture systems. The sample-to-analysis workflow overcomes the labor intensive, time-consuming, and destructive nature of existing mass spectrometry approaches for analysis of cells. By providing rapid, high-throughput analyses of the intracellular state, this platform enables untargeted discovery of critical quality attributes and their real-time, in-process monitoring.
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影响因子：
3.7
作者：
Jayaraman A;Kumar P;Marin S;de Atauri P;Mateo F;M Thomson T;J Centelles J;F Graham S;Cascante M
通讯作者：
Cascante M
DOI：
10.1016/j.chroma.2016.05.015
发表时间：
2016-06-17
期刊：
Journal of chromatography. A
影响因子：
--
作者：
Li X;Zhao S;Hu H;Liu YM
通讯作者：
Liu YM
影响因子：
3.8
作者：
Abu-Absi, Nicholas R.;Kenty, Brian M.;Li, Zheng Jian
通讯作者：
Li, Zheng Jian
影响因子：
3.8
作者：
Chilmonczyk MA;Kottke PA;Stevens HY;Guldberg RE;Fedorov AG
通讯作者：
Fedorov AG
影响因子：
6.1
作者：
Geng T;Lu C
通讯作者：
Lu C