Multiscale Modeling of Bistability in the Yeast Polarity Circuit

极性(国际关系) 双稳态 生物系统 电池极性 颂歌 反应扩散系统 物理 统计物理学 非正面反馈 常微分方程 正面反馈 计算机科学 微分方程 化学 数学 数学分析 细胞 生物 量子力学 生物化学 工程类 电压 电气工程
作者
Siarhei Hladyshau,Kaiyun Guan,Nivedita Nivedita,Beverly Errede,Denis Tsygankov,Timothy C. Elston
出处
期刊:Cells [Multidisciplinary Digital Publishing Institute]
卷期号:13 (16): 1358-1358
标识
DOI:10.3390/cells13161358
摘要

Cell polarity refers to the asymmetric distribution of proteins and other molecules along a specified axis within a cell. Polarity establishment is the first step in many cellular processes. For example, directed growth or migration requires the formation of a cell front and back. In many cases, polarity occurs in the absence of spatial cues. That is, the cell undergoes symmetry breaking. Understanding the molecular mechanisms that allow cells to break symmetry and polarize requires computational models that span multiple spatial and temporal scales. Here, we apply a multiscale modeling approach to examine the polarity circuit of yeast. In addition to symmetry breaking, experiments revealed two key features of the yeast polarity circuit: bistability and rapid dismantling of the polarity site following a loss of signal. We used modeling based on ordinary differential equations (ODEs) to investigate mechanisms that generate these behaviors. Our analysis revealed that a model involving positive and negative feedback acting on different time scales captured both features. We then extend our ODE model into a coarse-grained reaction–diffusion equation (RDE) model to capture the spatial profiles of polarity factors. After establishing that the coarse-grained RDE model qualitatively captures key features of the polarity circuit, we expand it to more accurately capture the biochemical reactions involved in the system. We convert the expanded model to a particle-based model that resolves individual molecules and captures fluctuations that arise from the stochastic nature of biochemical reactions. Our models assume that negative regulation results from negative feedback. However, experimental observations do not rule out the possibility that negative regulation occurs through an incoherent feedforward loop. Therefore, we conclude by using our RDE model to suggest how negative feedback might be distinguished from incoherent feedforward regulation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
3秒前
clione完成签到 ,获得积分10
3秒前
阿南发布了新的文献求助10
4秒前
沉默的谷秋完成签到,获得积分10
6秒前
nnnn关注了科研通微信公众号
6秒前
6秒前
malenia完成签到,获得积分10
6秒前
科研通AI2S应助星辰任我攀采纳,获得10
7秒前
柚子发布了新的文献求助30
7秒前
10秒前
qiao应助科研通管家采纳,获得10
10秒前
科研通AI5应助科研通管家采纳,获得50
10秒前
烟花应助科研通管家采纳,获得20
10秒前
今后应助科研通管家采纳,获得10
10秒前
小二郎应助科研通管家采纳,获得10
10秒前
10秒前
ding应助科研通管家采纳,获得10
10秒前
11秒前
潇洒的平松完成签到,获得积分10
11秒前
11秒前
潇洒皮带完成签到,获得积分10
12秒前
科研通AI2S应助yyy采纳,获得10
13秒前
顺顺关注了科研通微信公众号
15秒前
bkagyin应助nnnn采纳,获得10
16秒前
123完成签到,获得积分10
17秒前
jinkk完成签到,获得积分10
18秒前
莫失莫忘完成签到 ,获得积分10
19秒前
jane完成签到,获得积分20
19秒前
21秒前
annoraz完成签到,获得积分10
23秒前
嗷嗷嗷啊完成签到,获得积分10
26秒前
顺顺发布了新的文献求助10
27秒前
29秒前
王博士完成签到 ,获得积分10
32秒前
无花果应助柚子采纳,获得30
35秒前
吴文章完成签到 ,获得积分10
36秒前
waayu完成签到 ,获得积分10
37秒前
科研通AI5应助actor2006采纳,获得30
38秒前
高大鸭子完成签到 ,获得积分10
41秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
Mixing the elements of mass customisation 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3779565
求助须知:如何正确求助?哪些是违规求助? 3325025
关于积分的说明 10221059
捐赠科研通 3040157
什么是DOI,文献DOI怎么找? 1668640
邀请新用户注册赠送积分活动 798728
科研通“疑难数据库(出版商)”最低求助积分说明 758522