High-Content Imaging Platform for Profiling Intracellular Signaling Network Activity in Living Cells

Dmitry Kuchenov, Vibor Laketa, Frank Stein, Florian Salopiata, Ursula Klingmüller, Carsten Schultz

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1550-1559
Number of pages10
JournalCell Chemical Biology
Volume23
Issue number12
DOIs
StatePublished - Dec 22 2016

Keywords

  • FRET
  • fluorescence microscopy
  • growth factors
  • kinases
  • principal component analysis
  • sensors
  • signaling cross-talk

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Medicine
  • Molecular Biology
  • Pharmacology
  • Drug Discovery
  • Clinical Biochemistry

Fingerprint Dive into the research topics of 'High-Content Imaging Platform for Profiling Intracellular Signaling Network Activity in Living Cells'. Together they form a unique fingerprint.

  • Cite this