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High-content imaging platform for profiling intracellular signaling network activity in living cells

Essential characteristics of cellular signaling networks include a complex interconnected architecture and temporal dynamics of protein activity. The latter can be monitored by Förster resonance energy transfer (FRET) biosensors at a single-live-cell level with high temporal resolution. However, th...

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Hauptverfasser: Kuchenov, Dmitry (VerfasserIn) , Schwörer, Florian (VerfasserIn) , Klingmüller, Ursula (VerfasserIn) , Schultz, Carsten (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 8 December 2016
In: Cell chemical biology
Year: 2016, Jahrgang: 23, Heft: 12, Pages: 1550-1559
ISSN:2451-9448
DOI:10.1016/j.chembiol.2016.11.008
Online-Zugang:Verlag, Volltext: http://dx.doi.org/10.1016/j.chembiol.2016.11.008
Verlag, Volltext: http://www.sciencedirect.com/science/article/pii/S2451945616304317
Volltext
Verfasserangaben:Dmitry Kuchenov, Vibor Laketa, Frank Stein, Florian Salopiata, Ursula Klingmüller, Carsten Schultz
Beschreibung
Zusammenfassung:Essential characteristics of cellular signaling networks include a complex interconnected architecture and temporal dynamics of protein activity. The latter can be monitored by Förster resonance energy transfer (FRET) biosensors at a single-live-cell level with high temporal resolution. However, these experiments are typically limited to the use of a couple of FRET biosensors. Here, we describe a FRET-based multi-parameter imaging platform (FMIP) that allows simultaneous high-throughput monitoring of multiple signaling pathways. We apply FMIP to monitor the crosstalk between epidermal growth factor receptor (EGFR) and insulin-like growth factor-1 receptor signaling, signaling perturbations caused by pathophysiologically relevant EGFR mutations, and the effects of a clinically important MEK inhibitor (selumetinib) on the EGFR network. We expect that in the future the platform will be applied to develop comprehensive models of signaling networks and will help to investigate the mechanism of action as well as side effects of therapeutic treatments.
Beschreibung:Gesehen am 05.09.2017
Beschreibung:Online Resource
ISSN:2451-9448
DOI:10.1016/j.chembiol.2016.11.008

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