Cell, Isoform, and Environment Factors Shape Gradients and Modulate Chemotaxis
Authored by Jennifer J Linderman, S Laura Chang, Stephen P Cavnar, Shuichi Takayama, Gary D Luker
Date Published: 2015
DOI: 10.1371/journal.pone.0123450
Sponsors:
United States National Institutes of Health (NIH)
United States National Science Foundation (NSF)
Platforms:
No platforms listed
Model Documentation:
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Abstract
Chemokine gradient formation requires multiple processes that include
ligand secretion and diffusion, receptor binding and internalization, and immobilization of ligand to surfaces. To understand how these events
dynamically shape gradients and influence ensuing cell chemotaxis, we
built a multi-scale hybrid agent-based model linking gradient formation, cell responses, and receptor-level information. The CXCL12/CXCR4/CXCR7
signaling axis is highly implicated in metastasis of many cancers. We
model CXCL12 gradient formation as it is impacted by CXCR4 and CXCR7, with particular focus on the three most highly expressed isoforms of
CXCL12. We trained and validated our model using data from an in vitro
microfluidic source-sink device. Our simulations demonstrate how isoform
differences on the molecular level affect gradient formation and cell
responses. We determine that ligand properties specific to CXCL12
isoforms (binding to the migration surface and to CXCR4) significantly
impact migration and explain differences in in vitro chemotaxis data. We
extend our model to analyze CXCL12 gradient formation in a tumor
environment and find that short distance, steep gradients characteristic
of the CXCL12-gamma isoform are effective at driving chemotaxis. We
highlight the importance of CXCL12-gamma in cancer cell migration: its
high effective affinity for both extracellular surface sites and CXCR4
strongly promote CXCR4+ cell migration. CXCL12-gamma is also more
difficult to inhibit, and we predict that co-inhibition of CXCR4 and
CXCR7 is necessary to effectively hinder CXCL12-gamma-induced migration.
These findings support the growing importance of understanding
differences in protein isoforms, and in particular their implications
for cancer treatment.
Tags
Model
Tumor-growth
Sensitivity-analysis
T-cells
Chemokine receptor
Breast-cancer
Beta-arrestin
Cxcr4
Cxcl12
Dimerization