Bridging Understanding of Motor-Cargo Transport from Artificial to Cellular Systems
Bridging Understanding of Motor-Cargo Transport from Artificial to Cellular Systems
批准号:
9247506
负责人:
John Fricks
金额:
$39.92万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2020-06-30
关键词:
AccountingAlzheimer&aposs DiseaseAnimal ModelArchitectureAxonBehaviorBindingBinding ProteinsCell modelCell physiologyCellsCharacteristicsCodependenceCollectionComplexComputer SimulationCrowdingCytoplasmDataDependenceDevelopmentDiffusionDiseaseDynein ATPaseEnvironmentFunctional disorderIn VitroIndividualIntracellular TransportKinesinKineticsKnowledgeLinkMicrotubule-Associated ProteinsMicrotubulesModelingMolecular MotorsMotionMotorMovementNeuronsPerformancePost-Translational Protein ProcessingProteinsResolutionRunningSilicon DioxideSolventsSpeedStructureSystemTestingTheoretical modelTimeTubulinVariantWaranalytical toolbasecell motilitydensityfallsgeometric structuremathematical modelmolecular scalenanoscalenovel therapeuticsreconstitutionresearch study
中文摘要
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英文摘要
Microtubule-based transport is vital for cell function. Proper transport of intracellular cargo involves an
interplay between motor proteins that move at different speeds and in different directions, and microtubules,
which can be oriented in either uniform or mixed polarity bundles and can also be altered by
posttranslational modifications (PTMs) and microtubule associated proteins (MAPs). The dominant model in
the field to describe the bidirectional motion is the tug-of-war model in which opposite-directed kinesin and
dynein motors mechanically compete for dominance and control movement for short durations. However, a
number of studies carried out in isolated cells and model organisms over the last 15 years have found that
inhibiting one motor diminishes motility in both directions, just the opposite of the tug-of-war model
prediction. The purpose of this proposal is to use mathematical modeling and in vitro experiments to
investigate the mechanisms that cause the predictions of the tug-o-war model to fall short at the cellular
scale. Closing this knowledge gap requires the integrated development of experiments and theoretical
models in order to link fundamental mechanisms at the molecular scale with the observed within-cell
transport behavior. The modeling will span three levels. Nanoscale modeling will use established
frameworks to treat the kinetics of kinesin and dynein stepping and changes in motor-microtubule
interactions due to tubulin PTMs and MAP binding. At the mesoscale, multiple motors bound to a common
cargo are represented as continuous movers obeying stochastic differential models with performance
characteristics taken from existing experimental data. Finally, at the microscale, the interaction of
motor-cargo complexes with multiple microtubules and the dependence of transport on microtubule
organization at the cellular level are treated.
In Aim 1, in vitro and in silico experiments with defined numbers of kinesins and dyneins will be used to
challenge specific hypothetical models of bidirectional transport. In Aim 2, this integrated approach will be
extended to understand transport dynamics in cell-mimicking microtubule architectures in vitro and in silico.
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