.png){kind=icon}
返回
Simulating CXCR5 Dynamics in Complex Tissue Microenvironments
.png){kind=icon}
OA
AI
DOI：10.3389/fimmu.2021.703088.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
To effectively navigate complex tissue microenvironments, immune cells sense molecular concentration gradients using G-protein coupled receptors. However, due to the complexity of receptor activity, and the multimodal nature of chemokine gradients in vivo, chemokine receptor activity in situ is poorly understood. To address this issue, we apply a modelling and simulation approach that permits analysis of the spatiotemporal dynamics of CXCR5 expression within an in silico B-follicle with single-cell resolution. Using this approach, we show that that in silico B-cell scanning is robust to changes in receptor numbers and changes in individual kinetic rates of receptor activity, but sensitive to global perturbations where multiple parameters are altered simultaneously. Through multi-objective optimization analysis we find that the rapid modulation of CXCR5 activity through receptor binding, desensitization and recycling is required for optimal antigen scanning rates. From these analyses we predict that chemokine receptor signaling dynamics regulate migration in complex tissue microenvironments to a greater extent than the total numbers of receptors on the cell surface.
Keyword:
B cells
chemokines
systems biology
G-protein coupled receptors
mathematical modelling
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.9
论文数:
5.0W
被引数:
22.7W
机构
引用论文
.png){kind=icon}
分享收藏
Using argument notation to engineer biological simulations with increased confidence使用参数符号来增强生物模拟的信心OAAI
OAAI分享收藏分享收藏
查看更多内容