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A humanized Caenorhabditis elegans model of hereditary spastic paraplegia-associated variants in KLC4.

Selin Gümüşderelioğlu | Lauren Resch | Trisha Brock | Undiagnosed Diseases Network | G W Gant Luxton | Heidi Cope | Queenie K-G Tan | Christopher Hopkins | Daniel A Starr
Disease models & mechanisms | 2023

Hereditary spastic paraplegia (HSP) is a group of degenerative neurological disorders. We identified a variant in human kinesin light chain 4 (KLC4) that is suspected to be associated with autosomal-dominant HSP. How this and other variants relate to pathologies is unknown. We created a humanized Caenorhabditis elegans model in which klc-2 was replaced by human KLC4 (referred to as hKLC4) and assessed the extent to which hKLC4 retained function in the worm. We observed a slight decrease in motility but no nuclear migration defects in the humanized worms, suggesting that hKLC4 retains much of the function of klc-2. Five hKLC4 variants were introduced into the humanized model. The clinical variant led to early lethality, with significant defects in nuclear migration when homozygous and a weak nuclear migration defect when heterozygous, possibly correlating with the clinical finding of late-onset HSP when the proband was heterozygous. Thus, we were able to establish humanized C. elegans as an animal model for HSP and to use it to test the significance of five variants of uncertain significance in the human gene KLC4.

Pubmed ID: 37565267

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Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: R35 GM134859
  • Agency: NHGRI NIH HHS, United States
    Id: U01 HG007530
  • Agency: NHGRI NIH HHS, United States
    Id: U01 HG007672
  • Agency: NIH HHS, United States
    Id: R35GM134859

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Fiji (tool)

RRID:SCR_002285

Software package as distribution of ImageJ and ImageJ2 together with Java, Java3D and plugins organized into coherent menu structure. Used to assist research in life sciences.

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Genome Aggregation Database (tool)

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Database that aggregates exome and genome sequencing data from large-scale sequencing projects. The gnomAD data set contains individuals sequenced using multiple exome capture methods and sequencing chemistries. Raw data from the projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects.

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