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Quantitative Analysis of Chemotactic Motility Cycle of Ameboid Cells

Quantitative Analysis of Chemotactic Motility Cycle of Ameboid Cells
阿米巴细胞趋化运动周期的定量分析
批准号:
8141956
负责人:
RICHARD A FIRTEL
金额:
$29.78万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-30 至 2014-08-31

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中文摘要
翻译
描述(由申请人提供):真核细胞运动对于许多生理过程(例如胚胎发育、组织更新和免疫系统功能)至关重要。盘状网骨藻已被证明是一个很好的模型,如白细胞的阿米巴样细胞的趋化迁移。变形样迁移是伪足突起和缩回的顺序重复的结果,并且由牵引力的产生驱动。牵引力的强度和时空组织由肌动蛋白定向马达、F-肌动蛋白调节、肌动蛋白交联、马达蛋白介导的收缩性和细胞粘附的协调相互作用决定。然而,由于缺乏定量信息和分析,对这些过程的生物物理协调的精确了解受到限制。我们和其他人已经观察到,在变形虫迁移过程中发生的细胞形状的变化的相当一部分是由于周期性的重复事件,这使得使用条件统计方法来分析网络的生化过程中涉及的细胞运动。 本研究的主要目标是通过研究已知或怀疑参与运动周期不同阶段的候选细胞骨架和调控分子的作用,以一种稳健的、定量的方式确定牵引力时空分布的生化基础和运动周期每个阶段的持续时间。我们推测,肌球蛋白II不仅是必不可少的运动周期的收缩阶段,但也伪足突起阶段。牵引力的产生不仅取决于肌球蛋白II的收缩作用,而且还取决于其肌动蛋白交联作用。基于初步的结果,我们进一步假设,时空分布的牵引力和平均距离的细胞每个周期取决于肌动蛋白聚合。 为了验证上述假设,我们提出了三个具体目标。具体目标1是应用我们新的3D力细胞术方法来测量细胞在基底上施加的力的三个分量。第二个和第三个目的旨在通过对具有肌动蛋白交联或运动蛋白收缩性缺陷(特定目的2)和F-肌动蛋白调节缺陷(特定目的3)的野生型细胞和突变株进行系统比较,研究已知或疑似参与运动的候选细胞骨架和调节分子的作用。我们的方法包括同时测量荧光标记的信号(或细胞骨架)蛋白分布的空间和时间变化以及介导细胞运动周期每个阶段的3D牵引力,同时还记录细胞形状的变化。我们将应用条件统计和主成分分析(PCA)来将特定的生化过程与运动周期中的每个物理事件联系起来。我们的研究将为开始构建控制细胞迁移的复杂生化过程网络提供必要的基础。 公共卫生相关性:真核细胞的运动性对于许多生理过程如胚胎发育和组织更新以及免疫系统的功能是必需的。运动的不正确调节在许多疾病中起重要作用(癌症、破坏性炎症、骨质疏松症、智力迟钝等),因此,未来的治疗方法将受益于对控制细胞运动的生物物理过程的精确定量理解。本研究的目的是建立运动周期的每个阶段与特定生化信号事件相关的机制,并阐明这些信号通路的调节对细胞运动的影响,最终目标是对生物力学过程有足够的理解,以预测和控制细胞运动。
英文摘要
DESCRIPTION (provided by applicant): Eukaryotic cell motility is essential for many physiological processes such as embryonic development, tissue renewal, and the function of the immune system. Dictyostelium discoideum has proven to be an excellent model for the chemotactic migration of amoeboid cells such as leukocytes. Amoeboid migration is the result of the sequential repetition of pseudopod protrusions and retractions and is driven by the generation of traction forces. The strength and spatiotemporal organization of traction forces is determined by the coordinated interactions of actin-directed motors, F-actin regulation, actin crosslinking, motor protein-mediated contractility, and cell adhesions. However, precise knowledge of the biophysical coordination of these processes has been limited by the lack of quantitative information and analysis. We and others have observed that a considerable portion of the changes in cell shape occurring during amoeboid migration are due to periodic repetitive events, which enables the use of conditional statistics methods to analyze the network of biochemical processes involved in cell motility. The primary goal of this research is to determine in a statistically-robust, quantitative manner the biochemical basis for the spatiotemporal distribution of traction forces and the duration of each phase of the motility cycle by studying the role of candidate cytoskeletal and regulatory molecules with known or suspected involvement in the different stages of the motility cycle. We hypothesize that Myosin II is essential not only to the contractility phase of the motility cycle but also to the pseudopod protrusion phase. The generation of the traction forces depends not only on the contractile action of Myosin II, but also in its actin crosslinking effect. Based on preliminary results, we further hypothesize that the spatiotemporal distribution of traction forces and the average distance a cell travels per cycle depend on actin polymerization. To test the above hypotheses, we propose three Specific Aims. Specific Aim 1 is to apply our new 3D force cytometry method to measure the three components of the forces exerted by the cells on the substrate. The second and third aims are aimed at studying the role of candidate cytoskeletal and regulatory molecules with known or suspected involvement in the motility by undertaking systematic comparison of wild type cells and mutant strains with actin crosslinking or motor protein contractility defects (Specific Aim 2), and F-actin regulation defects (Specific Aim 3). Our method consists of simultaneously measuring the spatial and temporal changes in the distribution of fluorescently tagged signaling (or cytoskeletal) proteins and the 3D traction forces that mediate each stage of the cell motility cycle, while also recording the changes in cell shape. We will apply conditional statistics and Principal Component Analysis (PCA) to connect specific biochemical processes to each of the physical events in the motility cycle. Our studies will provide the necessary building blocks to begin constructing the complex network of biochemical processes controlling cell migration. PUBLIC HEALTH RELEVANCE: Motility of eukaryotic cells is essential for many physiological processes such as embryonic development, and tissue renewal, as well as for the function of the immune system. Incorrect regulation of motility plays an important part in many diseases (cancer, destructive inflammation, osteoporosis, mental retardation, etc.), and therefore, future therapeutic approaches will benefit from a precise quantitative understanding of the biophysical processes controlling cell motility. The aim of this study is to establish the mechanisms whereby each individual stage of the motility cycle is related to specific biochemical signaling events, and to elucidate the effects that the regulation of these signaling pathways has on cell motility, with the ultimate goal of developing a level of understanding of the biomechanical processes sufficient to predict and control cell motility.
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Quantitative Analysis of Chemotactic Motility Cycle of Ameboid Cells
Quantitative Analysis of Chemotactic Motility Cycle of Ameboid Cells
Quantitative Analysis of Chemotactic Motility Cycle of Ameboid Cells
Bio-Mechanics of Directional Migration of Leukocytes
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