Automated nanoscale flow cytometry for assessing protein-protein interactions

被引：5
|
作者：
von Kolontaj, Kerstin [1 ]
Horvath, Gabor L. [2 ]
Latz, Eicke [2 ,3 ,4 ,5 ]
Buescher, Martin [1 ]
机构：
[1] Miltenyi Biotec GmbH, Friedrich Ebert Str 68, D-51429 Bergisch Gladbach, Nordrhein Westf, Germany
[2] Univ Bonn, Univ Hosp, Inst Innate Immun, Sigmund Freud Str 25, D-53127 Bonn, Germany
[3] Univ Massachusetts, Sch Med, Dept Infect Dis & Immunol, Worcester, MA 01605 USA
[4] German Ctr Neurodegenerat Dis, D-53175 Bonn, Germany
[5] Norwegian Univ Sci & Technol, Ctr Mol Inflammat Res, Trondheim, Norway
来源：
CYTOMETRY PART A | 2016年 / 89A卷 / 09期
基金：
美国国家卫生研究院; 欧洲研究理事会;
关键词：
flow cytometry; FRET; T cells; automatic data analysis; detection of immunodeficiencies; RESONANCE ENERGY-TRANSFER; TRANSFER EFFICIENCY; CELL-SURFACES; T-LYMPHOCYTES; TRANSDUCTION; DYNAMICS; FRET; CD4;
D O I：
10.1002/cyto.a.22937
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Despite their importance for signalling events, protein-protein interactions cannot easily be analyzed on a single cell level. We developed a robust automated FRET measurement system implemented on a commercial flow cytometer allowing for rapid profiling of molecular associations in living cells. We used this method to measure the most proximal signaling events on human T lymphocyte activation, which preceded calcium influx, and could automatically detect T cell receptor/CD3 complex clustering defects in immunocompromised patients. (c) 2016 International Society for Advancement of Cytometry
引用
收藏
页码：835 / 843
页数：9
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