The developmental and genetic basis of 'clubfoot' in the peroneal muscular atrophy mutant mouse.
Jon Martin CollinsonNils O LindströmCarlos NevesKaren WallaceCaroline MehargRebecca H CharlesZoe K RossAmy M FraserIvan MbogoKadri OrasMasaru NakamotoSimon BarkerSuzanne DuceZosia MiedzybrodzkaNeil VargessonPublished in: Development (Cambridge, England) (2018)
Genetic factors underlying the human limb abnormality congenital talipes equinovarus ('clubfoot') remain incompletely understood. The spontaneous autosomal recessive mouse 'peroneal muscular atrophy' mutant (PMA) is a faithful morphological model of human clubfoot. In PMA mice, the dorsal (peroneal) branches of the sciatic nerves are absent. In this study, the primary developmental defect was identified as a reduced growth of sciatic nerve lateral motor column (LMC) neurons leading to failure to project to dorsal (peroneal) lower limb muscle blocks. The pma mutation was mapped and a candidate gene encoding LIM-domain kinase 1 (Limk1) identified, which is upregulated in mutant lateral LMC motor neurons. Genetic and molecular analyses showed that the mutation acts in the EphA4-Limk1-Cfl1/cofilin-actin pathway to modulate growth cone extension/collapse. In the chicken, both experimental upregulation of Limk1 by electroporation and pharmacological inhibition of actin turnover led to defects in hindlimb spinal motor neuron growth and pathfinding, and mimicked the clubfoot phenotype. The data support a neuromuscular aetiology for clubfoot and provide a mechanistic framework to understand clubfoot in humans.
Keyphrases
- spinal cord
- lower limb
- genome wide
- endothelial cells
- neuropathic pain
- copy number
- wild type
- minimally invasive
- induced pluripotent stem cells
- spinal cord injury
- skeletal muscle
- dna methylation
- cell proliferation
- quality improvement
- signaling pathway
- poor prognosis
- pluripotent stem cells
- resistance training
- metabolic syndrome
- gene expression
- machine learning
- simultaneous determination
- high fat diet induced
- transcription factor
- data analysis
- soft tissue
- genome wide identification