1. Academic Validation
  2. Profiling of ERBB receptors and downstream pathways reveals selectivity and hidden properties of ERBB4 antagonists

Profiling of ERBB receptors and downstream pathways reveals selectivity and hidden properties of ERBB4 antagonists

  • iScience. 2024 Jan 9;27(2):108839. doi: 10.1016/j.isci.2024.108839.
Lukša Popović 1 2 Jan P Wintgens 1 2 Yuxin Wu 1 Ben Brankatschk 2 Sascha Menninger 3 Carsten Degenhart 3 Niels Jensen 4 Sven P Wichert 2 4 Bert Klebl 3 Moritz J Rossner 2 4 Michael C Wehr 1 2
Affiliations

Affiliations

  • 1 Research Group Cell Signalling, Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Nussbaumstrasse 7, 80336 Munich, Germany.
  • 2 Systasy Bioscience GmbH, Balanstrasse 6, 81669 Munich, Germany.
  • 3 Lead Discovery Center GmbH, Otto-Hahn-Strasse 15, 44227 Dortmund, Germany.
  • 4 Section of Molecular Neurobiology, Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Nussbaumstrasse 7, 80336 Munich, Germany.
Abstract

ERBB Receptor Tyrosine Kinases are involved in development and diseases like Cancer, cardiovascular, neurodevelopmental, and mental disorders. Although existing drugs target ERBB receptors, the next generation of drugs requires enhanced selectivity and understanding of physiological pathway responses to improve efficiency and reduce side effects. To address this, we developed a multilevel barcoded reporter profiling assay, termed 'ERBBprofiler', in living cells to monitor the activity of all ERBB targets and key physiological pathways simultaneously. This assay helps differentiate on-target therapeutic effects from off-target and off-pathway side effects of ERBB antagonists. To challenge the assay, eight established ERBB antagonists were profiled. Known effects were confirmed, and previously uncharacterized properties were discovered, such as pyrotinib's preference for ERBB4 over EGFR. Additionally, two lead compounds selectively targeting ERBB4 were profiled, showing promise for clinical trials. Taken together, this multiparametric profiling approach can guide early-stage drug development and lead to improved future therapeutic interventions.

Keywords

Biochemistry; Biological sciences; Cell biology; Natural sciences; Pharmacology.

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  • HY-104065
    99.89%, EGFR/HER2 Inhibitor