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...
Gespeichert in:
| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
8 December 2016
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| 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 
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| Verfasserangaben: | Dmitry Kuchenov, Vibor Laketa, Frank Stein, Florian Salopiata, Ursula Klingmüller, Carsten Schultz |
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| 245 | 1 | 0 | |a High-content imaging platform for profiling intracellular signaling network activity in living cells |c Dmitry Kuchenov, Vibor Laketa, Frank Stein, Florian Salopiata, Ursula Klingmüller, Carsten Schultz |
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| 520 | |a 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. | ||
| 650 | 4 | |a fluorescence microscopy | |
| 650 | 4 | |a FRET | |
| 650 | 4 | |a growth factors | |
| 650 | 4 | |a kinases | |
| 650 | 4 | |a principal component analysis | |
| 650 | 4 | |a sensors | |
| 650 | 4 | |a signaling cross-talk | |
| 700 | 1 | |a Schwörer, Florian |e VerfasserIn |0 (DE-588)1139307320 |0 (DE-627)897060210 |0 (DE-576)493230823 |4 aut | |
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| 700 | 1 | |a Schultz, Carsten |e VerfasserIn |0 (DE-588)1139307444 |0 (DE-627)897060490 |0 (DE-576)493231013 |4 aut | |
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