Molecular motors that drive cargo transport along cytoskeletal filaments are critical for processes such as cell division, cell motility, intracellulr trafficking, subcellular organization, and ciliary function. Defects in motor- driven transport processes are known to contribute to neurodegenerative diseases, cancer, and ciliopathies. A key property of motors that drive cargo transport is the ability to undergo processive motility (th ability to take many steps along the filament before detaching). Yet despite decades of research into kinesin motility, we still have a very limited understanding of how kinesin enzymes convert the energy of ATP hydrolysis into processive motility. Our Preliminary Data demonstrate that we have in hand, for the first time, three kinesin families with high sequence similarity but drasticaly different processivity outputs. Thus, we are uniquely positioned to solve an outstanding structure-function question in the kinesin field. We will determine sequence features of the core kinesin motor domain that are required for processive motion. We will investigate how family-specific substitutions and disease-associated mutations in the core motor domain alter the processivity output. We will examine the fundamental role of processive motion in cargo transport in cells. This work will advance our knowledge of fundamental transport processes in cells and will have broad implications for understanding how molecular variation leads to functional variation within large protein families.

Public Health Relevance

Defects in intracellular transport processes, including mutations in kinesin and dynein motor proteins, are known to contribute to neurodegenerative diseases, cancer, and ciliopathies. This work will reveal basic structure/function mechanisms that enable processive transport by kinesin motors as well as family-specific adaptations that result in functional variation important for intracellular transport processes. This work will advance our understanding of kinesin motor function and impact our ability to treat human disease.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
2R01GM070862-10A1
Application #
8987040
Study Section
Special Emphasis Panel (ZRG1-BCMB-D (02))
Program Officer
Gindhart, Joseph G
Project Start
2005-07-01
Project End
2019-08-31
Budget Start
2015-09-15
Budget End
2016-08-31
Support Year
10
Fiscal Year
2015
Total Cost
$363,236
Indirect Cost
$122,697
Name
University of Michigan Ann Arbor
Department
Anatomy/Cell Biology
Type
Schools of Medicine
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
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Skjærven, Lars; Jariwala, Shashank; Yao, Xin-Qiu et al. (2016) Online interactive analysis of protein structure ensembles with Bio3D-web. Bioinformatics 32:3510-3512

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