4.7 Article

Mouse models and strain-dependency of Chediak-Higashi syndrome-associated neurologic dysfunction

Journal

SCIENTIFIC REPORTS
Volume 9, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-019-42159-0

Keywords

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Funding

  1. Vice President for Research & Economic Development
  2. Holden Comprehensive Cancer Center
  3. Roy J. and Lucille A. Carver College of Medicine
  4. Career Development/Capacity Building Award from the United States (U.S.) Department of Veterans Affairs Rehabilitation Research and Development (Rehab. RD) Service [IK2-RX002003]
  5. U.S. Department of Veterans Affairs Rehab. RD Service [I01 RX001481]
  6. R&D Service and National Institutes of Health [R01EY017673]
  7. NIH/NEI Center Support Grant [P30 EY025580]
  8. [T32DK112751]

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Chediak-Higashi syndrome (CHS) is a lethal disorder caused by mutations in the LYST gene that involves progressive neurologic dysfunction. Lyst-mutant mice exhibit neurologic phenotypes that are sensitive to genetic background. On the DBA/2J-, but not on the C57BL/6J-background, Lyst-mutant mice exhibit overt tremor phenotypes associated with loss of cerebellar Purkinje cells. Here, we tested whether assays for ataxia could measure this observed strain-dependency, and if so, establish parameters for empowering phenotype- and candidate-driven approaches to identify genetic modifier(s). A composite phenotypic scoring system distinguished phenotypes in Lyst-mutants and uncovered a previously unrecognized background difference between wild-type C57BL/6J and DBA/2J mice. Accelerating rotarod performance also distinguished phenotypes in Lyst-mutants, but at more advanced ages. These results establish that genetic background, Lyst genotype, and age significantly influence the severity of CHS-associated neurologic deficits. Purkinje cell quantifications likewise distinguished phenotypes of Lyst-mutant mice, as well as background differences between wild-type C57BL/6J and DBA/2J mice. To aid identification of potential genetic modifier genes causing these effects, we searched public datasets for cerebellar-expressed genes that are differentially expressed and/or contain potentially detrimental genetic variants. From these approaches, Nosl, Prdx2, Cbln3, Gnb1, Pttg1 were confirmed to be differentially expressed and leading candidates.

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