Hopkins, C. E. | Search bioRxiv

bioRxiv2023

A humanized Caenorhabditis elegans model of Hereditary Spastic Paraplegia-associated variants in kinesin light chain KLC4

Hereditary spastic paraplegia (HSP) is a group of degenerative neurological disorders. We identified a variant in human kinesin light chain 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 C. elegans model where klc-2 was replaced with human KLC4 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 use it to test the significance of five variants of uncertain significance in the human gene KLC4. Summary StatementWe identified a variant in KLC4 associated with Hereditary Spastic Paraplegia. The variant had physiological relevance in a humanized C. elegans model where we replaced klc-2 with human KLC4.

cell biology↗

bioRxiv2021

A Gene Replacement Humanization Platform for Rapid Functional Testing of Clinical Variants in Epilepsy-associated STXBP1.

PurposeFunctional evidence is a pillar of variant interpretation according to ACMG guidelines. Functional evidence can be obtained in a variety of models and assay systems, including patient-derived tissues and iPSCs, in vitro cellular assays, and in vivo assays. Here we evaluate the reliability and practicality of variant interpretation in the small animal model, C. elegans, through a series of experiments evaluating the function of syntaxin binding protein, STXBP1, a well-known causative gene for Early infantile epileptic encephalopathy 1 (EIEE1). MethodsUsing CRISPR, we replaced the coding sequence for unc-18 with the coding sequence for the human ortholog STXBP1. Next, we used CRISPR to introduce precise point mutations in the human STXBP1 coding sequence, reflecting three clinical categories (benign, pathogenic, and variants of uncertain significance (VUS)). We quantified 26 features of the resulting worms movement to train Random Forest (RF) and Support Vector Machines (SVM) machine learning classifiers on known pathogenic and benign variants. We characterized the classifiers, and then used the behavioral data from the VUS-expressing animals to predict the categorization of the VUS. ResultsWhereas knock-out worms without unc-18 are severely impaired in motor function, worms expressing STXBP1 in its place have restored motor function. We produced worms with STXBP1 variants previously classified by ACMG criteria, including 25 benign variants, 32 pathogenic, and 24 variants of uncertain significance (VUS). Using either SVM or RF classifiers, we were able to obtain a sensitivity of 0.84-0.97 on known benign and pathogenic strains. By comparing multiple ML classification methods, we were able to classify 9 of the VUS as functionally abnormal, suggesting that these VUS are likely to be pathogenic. ConclusionsWe demonstrate that automated analysis of a small animal system is an effective, scalable, and fast way to understand functional consequences of variants in STXBP1, one of the most common causes of genetic epilepsies and neurodevelopmental disorders.

genetics↗