Collaborative Research: Quantitative Principles behind the Spatio-Temporal Oscillation of Intracellular Calcium

合作研究:细胞内钙时空振荡背后的定量原理

基本信息

  • 批准号:
    1853698
  • 负责人:
  • 金额:
    $ 71.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-07-15 至 2024-06-30
  • 项目状态:
    已结题

项目摘要

This project will study how calcium ions in cells sometimes undergo rapid oscillations in space and time during polar cell growth, a mechanism that is extremely important during pollen tube tip growth during plant fertilization, extension of fungal hyphae, and tumor cell metastasis. Spatiotemporal calcium ion image data will be collected from growing Arabidopsis pollen tubes and the investigators will undertake an iterative modeling-experimental testing approach, drawing on joint expertise from cell biologists, mathematicians and statisticians, aimed at discovering the unknown quantitative mechanisms that modulate rapid and directed pollen tube tip growth. The fundamental knowledge gained from this project may aid development for chemical or genetic disease treatment strategies, since cell polarization is involved in many human diseases and cancers. Results could assist with understanding fungal pathogens, because pollen tube tip growth is analogous to that of invasive fungal hyphae. This interdisciplinary project involves undergraduate, graduate students and postdoctoral trainees. Computational and simulation tools and theoretical results will be made publicly available to enable greater use and facilitate other researchers in these fields. This project is funded jointly by the Division of Mathematical Sciences Mathematical Biology Program, the Division of Molecular and Cellular Biosciences Cellular Dynamics and Function Program, and the Division of Integrative Organismal Systems Physiological Mechanisms and Biomechanics Program.Calcium is of broad biological importance, needed not only for bone development but also as a signal to regulate a vast number of cellular processes such as polar cell growth. Intracellular calcium oscillation provides a key spatiotemporal calcium signal, but the underlying mechanisms regulating mechanisms remain largely unknown. The proposed project will use Arabidopsis pollen tube polar growth as a model system. Experimental data suggests that oscillatory pollen tube tip growth is controlled by the spatiotemporal oscillation of two intertwined key regulators: the ROP1 GTPase activity localized to the apical plasma membrane (cell boundary) and the tip-focused calcium gradient within the cell cytoplasm. To quantitatively elucidate these interdependent relationships and the underlying mechanism for the spatiotemporal oscillation of the system, we will develop a 2D calcium gradient model to characterize the formation of tip-focused intracellular calcium gradient and a reaction-diffusion activator-inhibitor system of ROP1 and calcium gradients that generate spatiotemporal oscillations. ROP1 and calcium dynamics will also be formulated in 3D to elucidate mechanistic linkage between rapid tip growth and growth redirection. The proposed research will establish new design principles underscoring rapid spatiotemporal oscillations that serve as a common regulatory mechanism and organize developmental strategies for many cell functions. This work will also characterize the quantitative mechanisms underlying the generation of calcium gradients and oscillations that are common calcium signals in all cellular organisms, with significant impact on a broad range of biological systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目将研究细胞中的钙离子在极细胞生长过程中有时如何经历空间和时间的快速振荡,这种机制在植物受精、真菌菌丝延伸和肿瘤细胞转移过程中花粉管尖端生长过程中极其重要。将从生长的拟南芥花粉管中收集时空钙离子图像数据,研究人员将利用细胞生物学家、数学家和统计学家的联合专业知识,采用迭代建模实验测试方法,旨在发现调节花粉管尖端快速定向生长的未知定量机制。从该项目中获得的基础知识可能有助于化学或遗传疾病治疗策略的开发,因为细胞极化与许多人类疾病和癌症有关。 结果可以帮助了解真菌病原体,因为花粉管尖端的生长类似于侵入性真菌菌丝的生长。这个跨学科项目涉及本科生、研究生和博士后。计算和模拟工具以及理论结果将公开,以便更多地使用并促进这些领域的其他研究人员。该项目由数学科学部数学生物学项目、分子和细胞生物科学部细胞动力学和功能项目以及综合有机体系统生理机制和生物力学项目联合资助。钙具有广泛的生物学重要性,不仅是骨骼发育所必需的,而且也是调节大量细胞过程(如极细胞生长)的信号。细胞内钙振荡提供了关键的时空钙信号,但其潜在的调节机制仍然很大程度上未知。拟议的项目将使用拟南芥花粉管极性生长作为模型系统。 实验数据表明,花粉管尖端的振荡生长是由两个相互交织的关键调节因子的时空振荡控制的:位于顶端质膜(细胞边界)的 ROP1 GTPase 活性和细胞质内聚焦于尖端的钙梯度。为了定量阐明这些相互依赖的关系以及系统时空振荡的潜在机制,我们将开发一个二维钙梯度模型来表征尖端聚焦的细胞内钙梯度的形成以及ROP1和产生时空振荡的钙梯度的反应扩散激活剂-抑制剂系统。 ROP1 和钙动力学也将以 3D 形式表达,以阐明尖端快速生长和生长重定向之间的机制联系。拟议的研究将建立新的设计原则,强调快速时空振荡,作为一种共同的调节机制,并组织许多细胞功能的发展策略。 这项工作还将描述钙梯度和振荡产生的定量机制,钙梯度和振荡是所有细胞生物中常见的钙信号,对广泛的生物系统具有重大影响。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Xinping Cui其他文献

Improved statistics for contrasting means of two samples under non-normality.
改进了非正态下两个样本对比平均值的统计数据。
Biclustering scatter plots using data depth measures
使用数据深度测量的双聚类散点图
MetaBoot: a machine learning framework of taxonomical biomarker discovery for different microbial communities based on metagenomic data
MetaBoot:基于宏基因组数据的不同微生物群落分类生物标志物发现的机器学习框架
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    2.7
  • 作者:
    Xiaojun Wang;Xiaoquan Su;Xinping Cui;Kang Ning
  • 通讯作者:
    Kang Ning
Establishment of LAMP-CRISPR/Cas12a for rapid detection of emEscherichia coli/em O157:H7 and one-pot detection
建立用于快速检测大肠杆菌 O157:H7 的 LAMP-CRISPR/Cas12a 及一锅法检测
  • DOI:
    10.1016/j.fm.2024.104622
  • 发表时间:
    2024-12-01
  • 期刊:
  • 影响因子:
    4.600
  • 作者:
    Zuwei Wang;Huan Chen;Antuo Hu;Xinping Cui;Changzheng Shi;Zhaoxin Lu;Fanqiang Meng;Fengxia Lv;Haizhen Zhao;Xiaomei Bie
  • 通讯作者:
    Xiaomei Bie
An artificial neural network framework for biomarker development to predict distant metastasis of breast cancer from gene expression data
用于生物标志物开发的人工神经网络框架,可根据基因表达数据预测乳腺癌的远处转移
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yingying Ma;Xinping Cui;Moj Proteomics;Bioinformatics
  • 通讯作者:
    Bioinformatics

Xinping Cui的其他文献

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{{ truncateString('Xinping Cui', 18)}}的其他基金

Collaborative Research: ATD: Integrated statistical algorithms with ultra-high performance computing for discovering SNPs from massive next-generation metagenomic sequencing data
合作研究:ATD:将统计算法与超高性能计算相结合,用于从大量下一代宏基因组测序数据中发现 SNP
  • 批准号:
    1223107
  • 财政年份:
    2012
  • 资助金额:
    $ 71.5万
  • 项目类别:
    Standard Grant
Statistical and Computational Tools for Identifying Microarray-based Expression and Single Feature Polymorphism Markers in Crops
用于识别作物中基于微阵列的表达和单特征多态性标记的统计和计算工具
  • 批准号:
    0646024
  • 财政年份:
    2007
  • 资助金额:
    $ 71.5万
  • 项目类别:
    Standard Grant

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