An Integrated Pipeline for Combining in vitro Data and Mathematical Models Using a Bayesian Parameter Inference Approach to Characterize Spatio-temporal Chemokine Gradient Formation-Reference-Cited by-同舟云学术

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An Integrated Pipeline for Combining in vitro Data and Mathematical Models Using a Bayesian Parameter Inference Approach to Characterize Spatio-temporal Chemokine Gradient Formation

Published:2019-10-11 Issue: Volume:10 Page:
ISSN:1664-3224
Container-title:Frontiers in Immunology
language:
Short-container-title:Front. Immunol.

Author:

Kalogiros Dimitris I.,Russell Matthew J.,Bonneuil Willy V.,Frattolin Jennifer,Watson Daniel,Moore James E.,Kypraios Theodore,Brook Bindi S.

Publisher

Frontiers Media SA

Subject

Immunology,Immunology and Allergy

Reference23 articles.

1. CCR7 and its ligands: balancing immunity and tolerance;Forster;Nat Rev Immunol.,2008

2. Immune regulation by atypical chemokine receptors;Nibbs;Nat Rev Immunol.,2013

3. The atypical chemokine receptor CCRL1 shapes functional CCL21 gradients in lymph nodes;Ulvmar;Nat Immunol.,2014

4. Chemokine transport dynamics and emerging recognition of their role in immune function;Moore;Curr Opin Biomed Eng.,2018

5. Immobilized chemokine fields and soluble chemokine gradients cooperatively shape migration patterns of dendritic cells;Schumann;J Immun.,2010

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generation of stable advective-diffusive chemokine gradients in a three-dimensional hydrogel;AIP Advances;2022-02-01

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