Automated nanoscale flow cytometry for assessing protein-protein interactions.

Autor: von Kolontaj K; Miltenyi Biotec GmbH, Friedrich-Ebert-Straße 68, Bergisch Gladbach, Nordrhein Westfalen, 51429, Germany., Horvath GL; Institute of Innate Immunity, University Hospitals, University of Bonn, Sigmund-Freud-Str. 25, Bonn, 53127, Germany., Latz E; Institute of Innate Immunity, University Hospitals, University of Bonn, Sigmund-Freud-Str. 25, Bonn, 53127, Germany. eicke.latz@uni-bonn.de.; Department of Infectious Diseases and Immunology, University of Massachusetts Medical School, Worcester, Massachusetts, 01605. eicke.latz@uni-bonn.de.; German Center for Neurodegenerative Diseases, Bonn, 53175, Germany. eicke.latz@uni-bonn.de.; Centre of Molecular Inflammation Research, Norwegian University of Science and Technology, Trondheim, Norway. eicke.latz@uni-bonn.de., Büscher M; Miltenyi Biotec GmbH, Friedrich-Ebert-Straße 68, Bergisch Gladbach, Nordrhein Westfalen, 51429, Germany. Martin@miltenyibiotec.de.
Jazyk: angličtina
Zdroj: Cytometry. Part A : the journal of the International Society for Analytical Cytology [Cytometry A] 2016 Sep; Vol. 89 (9), pp. 835-43. Date of Electronic Publication: 2016 Sep 01.
DOI: 10.1002/cyto.a.22937
Abstrakt: 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. © 2016 International Society for Advancement of Cytometry.
(© 2016 International Society for Advancement of Cytometry.)
Databáze: MEDLINE
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