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PHYSICAL INFRASTRUCT FOR CELL BIOLOGICAL MODELS CYTOSKELETAL FILAMENTS & MOTORS

PHYSICAL INFRASTRUCT FOR CELL BIOLOGICAL MODELS CYTOSKELETAL FILAMENTS & MOTORS
细胞生物模型的物理基础设施细胞骨架丝
批准号:
7722707
负责人:
LESLIE M LOEW
金额:
$1.38万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-08-01 至 2009-04-30

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中文摘要
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英文摘要
This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The goal of this project is to create the necessary physical and computational representations to effectively model intracellular movement along cytoskeletal filaments. A deterministic approach has been developed for modeling the intracellular organelle transport along microtubules and actin filaments, which is driven by opposite-polarity MT motors and actin-dependent motors of myosin family. Development of this model drove the development of the Virtual Cell software to model directed transport using diffusion-advection-reaction equations. The model now serves as a tool for studying the effect of signaling on aggregation and dispersion of pigment granules in fish melanophores. A second stochastic approach model is being developed to study RNA granule trafficking in cells, which is driven primarily by microtubule-based motors. A quantitative model of a granule with multiple motors of two competing types has been formulated and numerically simulated using the Virtual Cell. Based on the properties of single motors, it takes into account their mutual influence mediated by the granule inactive motors exert drag on active motors and active motors exert pull on inactive motors. Stochastic interaction of granule motors with the microtubule is modeled assuming three possible states for each motor unbound, bound but inactive and active. The model explains the patterns of RNA granule behavior observed in vivo and makes some predictions that can be tested experimentally.
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