Development of muti-agent-simulation models for intercellular communication via cytokines and extracellular matrices

Author:

Inoue Ken-ichiORCID,Kishimoto Satoko,Mogami Tomoki,Toyoda Shigeru,Hariyama Masanori

Abstract

AbstractBackgroundIntercellular communication is a critical innovation during multicellular organismal evolution. Cells release / receive cytokines and utilize them as intercellular signal entities. How a well-orchestrated communication emerges from individual cell behavior remains largely unknown. Here we abstracted the biological phenomenon and developed multi-agent-simulation to investigate the intracellular communication.MethodsTwo dimensional MAS platform was developed using Artisoc 4.2.1 standard software. We focused on intercellular communication via cytokines and extracellular matrices. Three agents, “cells”, “cytokines” and “extracellular matrices” were defined and the interaction rules among the agents were designed. Two different mathematical models of cytokine-gradient determination were tested: spatial derivative and temporal derivative models. As a case study, neutrophil swarming was modeled and the cell swarming was defined as an evaluation criterion. Moreover, a surgically injured mouse model and a fluorescent time-lapse imaging were used to observe neutrophil swarming.ResultsWe performed multiple simulations with six different virtual conditions, changing multiple parameters simultaneously and randomly. After 400 simulations for each condition, we counted the number of successful trials (i.e. neutrophil swarming within 10000 steps). Spatial derivative model showed more successes compared to temporal derivative model. Among eight parameters randomly assigned, cell’s exploration speed by random walk most remarkably influenced on success rate of neutrophil swarming. In in vivo model, bone marrow derived neutrophils gather towards the clumps with various migration speed. The mode of approaching resembles to spatial derivative model, rather than temporal derivative model.ConclusionsMAS could be a useful approach to investigate the emergence of intercellular communication during multicellular evolution. Neutrophil could adopt the spatial derivative model as a sensing mechanism of cytokine gradient.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3