Cell, isoform, and environment factors shape gradients and modulate chemotaxis.
Cell, isoform, and environment factors shape gradients and modulate chemotaxis.
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DOI:
10.1371/journal.pone.0123450
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Linderman JJ
中科院分区:
文献类型:
--
作者:
Chang SL;Cavnar SP;Takayama S;Luker GD;Linderman JJ
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-γ isoform are effective at driving chemotaxis. We highlight the importance of CXCL12-γ in cancer cell migration: its high effective affinity for both extracellular surface sites and CXCR4 strongly promote CXCR4+ cell migration. CXCL12-γ is also more difficult to inhibit, and we predict that co-inhibition of CXCR4 and CXCR7 is necessary to effectively hinder CXCL12-γ-induced migration. These findings support the growing importance of understanding differences in protein isoforms, and in particular their implications for cancer treatment.
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DOI:
10.1039/c4ib00015c
发表时间:
2014-05
期刊:
Integrative biology : quantitative biosciences from nano to macro
影响因子:
--
作者:
Cavnar SP;Ray P;Moudgil P;Chang SL;Luker KE;Linderman JJ;Takayama S;Luker GD
通讯作者:
Luker GD
影响因子:
4.3
作者:
Bentley K;Mariggi G;Gerhardt H;Bates PA
通讯作者:
Bates PA
影响因子:
11.2
作者:
Bendall, LJ;Baraz, R;Bradstock, KF
通讯作者:
Bradstock, KF
影响因子:
5.4
作者:
Altenburg, Jeffrey D.;Jin, Qingwen;Alkhatib, Ghalib
通讯作者:
Alkhatib, Ghalib
影响因子:
50.3
作者:
Allinen, M;Beroukhim, R;Polyak, K
通讯作者:
Polyak, K