Mapping Tyrosine Kinase Receptor Dimerization to Receptor Expression and Ligand Affinities

Tyrosine kinase receptor (RTK) ligation and dimerization is a key mechanism for translating external cell stimuli into internal signaling events. This process is critical to several key cell and physiological processes, such as in angiogenesis and embryogenesis, among others. While modulating RTK ac...

Full description

Bibliographic Details
Main Authors: Spencer B. Mamer, Alexandra A. Palasz, P. I. Imoukhuede
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Processes
Subjects:
Online Access:https://www.mdpi.com/2227-9717/7/5/288
id doaj-c455ac35f43e4723baf3db36aac56e3e
record_format Article
spelling doaj-c455ac35f43e4723baf3db36aac56e3e2020-11-25T00:58:05ZengMDPI AGProcesses2227-97172019-05-017528810.3390/pr7050288pr7050288Mapping Tyrosine Kinase Receptor Dimerization to Receptor Expression and Ligand AffinitiesSpencer B. Mamer0Alexandra A. Palasz1P. I. Imoukhuede2Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61820, USADepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61820, USADepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63105, USATyrosine kinase receptor (RTK) ligation and dimerization is a key mechanism for translating external cell stimuli into internal signaling events. This process is critical to several key cell and physiological processes, such as in angiogenesis and embryogenesis, among others. While modulating RTK activation is a promising therapeutic target, RTK signaling axes have been shown to involve complicated interactions between ligands and receptors both within and across different protein families. In angiogenesis, for example, several signaling protein families, including vascular endothelial growth factors and platelet-derived growth factors, exhibit significant cross-family interactions that can influence pathway activation. Computational approaches can provide key insight to detangle these signaling pathways but have been limited by the sparse knowledge of these cross-family interactions. Here, we present a framework for studying known and potential non-canonical interactions. We constructed generalized models of RTK ligation and dimerization for systems of two, three and four receptor types and different degrees of cross-family ligation. Across each model, we developed parameter-space maps that fully determine relative pathway activation for any set of ligand-receptor binding constants, ligand concentrations and receptor concentrations. Therefore, our generalized models serve as a powerful reference tool for predicting not only known ligand: Receptor axes but also how unknown interactions could alter signaling dimerization patterns. Accordingly, it will drive the exploration of cross-family interactions and help guide therapeutic developments across processes like cancer and cardiovascular diseases, which depend on RTK-mediated signaling.https://www.mdpi.com/2227-9717/7/5/288RTK signalingdimerizationligand-receptor kineticscomputational modeling
collection DOAJ
language English
format Article
sources DOAJ
author Spencer B. Mamer
Alexandra A. Palasz
P. I. Imoukhuede
spellingShingle Spencer B. Mamer
Alexandra A. Palasz
P. I. Imoukhuede
Mapping Tyrosine Kinase Receptor Dimerization to Receptor Expression and Ligand Affinities
Processes
RTK signaling
dimerization
ligand-receptor kinetics
computational modeling
author_facet Spencer B. Mamer
Alexandra A. Palasz
P. I. Imoukhuede
author_sort Spencer B. Mamer
title Mapping Tyrosine Kinase Receptor Dimerization to Receptor Expression and Ligand Affinities
title_short Mapping Tyrosine Kinase Receptor Dimerization to Receptor Expression and Ligand Affinities
title_full Mapping Tyrosine Kinase Receptor Dimerization to Receptor Expression and Ligand Affinities
title_fullStr Mapping Tyrosine Kinase Receptor Dimerization to Receptor Expression and Ligand Affinities
title_full_unstemmed Mapping Tyrosine Kinase Receptor Dimerization to Receptor Expression and Ligand Affinities
title_sort mapping tyrosine kinase receptor dimerization to receptor expression and ligand affinities
publisher MDPI AG
series Processes
issn 2227-9717
publishDate 2019-05-01
description Tyrosine kinase receptor (RTK) ligation and dimerization is a key mechanism for translating external cell stimuli into internal signaling events. This process is critical to several key cell and physiological processes, such as in angiogenesis and embryogenesis, among others. While modulating RTK activation is a promising therapeutic target, RTK signaling axes have been shown to involve complicated interactions between ligands and receptors both within and across different protein families. In angiogenesis, for example, several signaling protein families, including vascular endothelial growth factors and platelet-derived growth factors, exhibit significant cross-family interactions that can influence pathway activation. Computational approaches can provide key insight to detangle these signaling pathways but have been limited by the sparse knowledge of these cross-family interactions. Here, we present a framework for studying known and potential non-canonical interactions. We constructed generalized models of RTK ligation and dimerization for systems of two, three and four receptor types and different degrees of cross-family ligation. Across each model, we developed parameter-space maps that fully determine relative pathway activation for any set of ligand-receptor binding constants, ligand concentrations and receptor concentrations. Therefore, our generalized models serve as a powerful reference tool for predicting not only known ligand: Receptor axes but also how unknown interactions could alter signaling dimerization patterns. Accordingly, it will drive the exploration of cross-family interactions and help guide therapeutic developments across processes like cancer and cardiovascular diseases, which depend on RTK-mediated signaling.
topic RTK signaling
dimerization
ligand-receptor kinetics
computational modeling
url https://www.mdpi.com/2227-9717/7/5/288
work_keys_str_mv AT spencerbmamer mappingtyrosinekinasereceptordimerizationtoreceptorexpressionandligandaffinities
AT alexandraapalasz mappingtyrosinekinasereceptordimerizationtoreceptorexpressionandligandaffinities
AT piimoukhuede mappingtyrosinekinasereceptordimerizationtoreceptorexpressionandligandaffinities
_version_ 1725221492775452672