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DOI 10.64898/2026.07.17.739260

Медицинская библиотека · bioRxiv : the preprint server for biology · 2026

A systems-level proteomic analysis identifies kinesin targets of KIFBP during neuronal development.

Paschall Sarah-Catherine, Blasius Teresa Lynne, Missman Alex, Rodriguez Princess, Cianfrocco Michael A, Verhey Kristen J, Stumpff Jason

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Аннотация

Kinesins are molecular motor proteins essential for organizing and remodeling the cytoskeleton during neuronal development and maintenance. One key regulator is kinesin family binding protein (KIFBP), which inhibits a subset of kinesins by blocking motor-microtubule interactions. Homozygous mutations in KIFBP cause Goldberg-Shprintzen Syndrome (GOSHS), a neurodevelopmental disorder characterized by intellectual disability, microcephaly, and axonal neuropathy. Although loss of KIFBP has been linked to reduced neurite length and microtubule disorganization, the specific kinesins underlying these phenotypes remain unclear. Here we use a CRISPR-Cas9 generated KIFBP knockout Neuro-2a cell line to demonstrate that KIFBP is required for neurite extension and use inducible GFP-KIFBP to define the KIFBP interactome during neuronal differentiation. Immunoprecipitation coupled with mass spectrometry identified both known and novel KIFBP-associated kinesins. Single molecule TIRF microscopy confirmed direct inhibition of a subset of kinesins that co-immunoprecipitated with KIFBP. Notably, we identified KIF5A and KIF18B as previously unrecognized regulatory targets with potential roles in neuronal development. Together, these findings establish Neuro-2a cells as a model for studying KIFBP function and provide new insight into the regulation of kinesin activity and cytoskeletal dynamics in neurons.

Для цитирования: Paschall Sarah-Catherine, Blasius Teresa Lynne, Missman Alex, Rodriguez Princess, Cianfrocco Michael A, Verhey Kristen J, Stumpff Jason. A systems-level proteomic analysis identifies kinesin targets of KIFBP during neuronal development.. bioRxiv : the preprint server for biology. 2026. DOI: 10.64898/2026.07.17.739260.
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