A single-cell translocation and secretion assay (TransSeA).
A single-cell translocation and secretion assay (TransSeA).
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DOI：
10.1039/c8lc00821c
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发表时间：
2018-10-09
期刊：
影响因子：
6.1
通讯作者：
Lo YH
中科院分区：
文献类型：
--
作者：
Cai W;Chiu YJ;Ramakrishnan V;Tsai Y;Chen C;Lo YH
了解单细胞水平上的生物异质性是深入了解人类生理学和疾病复杂性所必需的。虽然技术和分析方法的进步为这种异质性提供了前所未有的一瞥，但迄今为止捕获的信息主要是单细胞生理学的一次性“快照”。为了解决现有方法的局限性，并加速从单细胞研究中发现，我们开发了一种单细胞易位和分泌测定法（TransSeA），其支持时间推移分析，使得能够对来自单细胞的分泌物如细胞外囊泡（EV）进行分子货物分析，允许根据用户定义的细胞选择标准进行大规模平行单细胞转移，并支持在源自单细胞的亲本和子代细胞之间追踪表型。为了证明该检测的独特能力和效率，我们提出了与细胞分泌物，EV货物和细胞内在特性相关的前所未有的单细胞研究。虽然作为例子来证明该技术的可行性和多功能性，但这些研究已经对关键的未回答的问题产生了见解，例如EV携带的microRNA，EV分泌速率与基因表达之间的关系，以及亲代和子代细胞之间EV分泌的自发，跨代表型变化。
Understanding the biologic heterogeneity at the single cell level is required for advancing insights into the complexity of human physiology and diseases. While advances in technologic and analytic methods have afforded unprecedented glimpses of this heterogeneity, the information captured to date largely represents one-time “snap” shots of single cell physiology. To address the limits of existing methods and to accelerate discoveries from single cell studies, we developed a single-cell translocation and secretion assay (TransSeA) that supports time lapse analysis, enables molecular cargo analysis of secretions such as extracellular vesicles (EVs) from single cells, allows massively parallel single cell transfer according to user-defined cell selection criteria, and supports tracking of phenotypes between parental and progeny cells derived from single cells. To demonstrate the unique capabilities and efficiencies of the assay, we present unprecedented single cell studies related to cell secretions, EV cargos and cell intrinsic properties. Although used as examples to demonstrate feasibility and versatility of the technology, the studies already produce insights on key unanswered questions such as the micro RNAs carried by EVs, the relations between EV secretion rate and gene expressions, and the spontaneous, trans-generational phenotypic changes in EV secretion between parental and progeny cells.
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影响因子：
5.2
作者：
Abd Elmageed, Zakaria Y.;Yang, Yijun;Thomas, Raju;Ranjan, Manish;Mondal, Debasis;Moroz, Krzysztof;Fang, Zhide;Rezk, Bashir M.;Moparty, Krishnarao;Sikka, Suresh C.;Sartor, Oliver;Abdel-Mageed, Asim B.
通讯作者：
Abdel-Mageed, Asim B.
影响因子：
46.9
作者：
通讯作者：
--
影响因子：
14.8
作者：
Mazutis, Linas;Gilbert, John;Ung, W. Lloyd;Weitz, David A.;Griffiths, Andrew D.;Heyman, John A.
通讯作者：
Heyman, John A.
影响因子：
16.2
作者：
Ligon, Keith L.;Huillard, Emmanuelle;Rowitch, David H.
通讯作者：
Rowitch, David H.
影响因子：
13.3
作者：
Chiu, Yu-Jui;Cai, Wei;Shih, Yu-Ru V.;Lian, Ian;Lo, Yu-Hwa
通讯作者：
Lo, Yu-Hwa