CDKL5-mediated developmental tuning of neuronal excitability and concomitant regulation of transcriptome.
Wenlin LiaoKun-Ze LeePublished in: Human molecular genetics (2023)
Cyclin-dependent kinase-like 5 (CDKL5) is a serine-threonine kinase enriched in the forebrain to regulate neuronal development and function. Patients with CDKL5 deficiency disorder (CDD), a severe neurodevelopmental condition caused by mutations of CDKL5 gene, present early-onset epilepsy as the most prominent feature. However, spontaneous seizures have not been reported in mouse models of CDD, raising vital questions on the human-mouse differences and the roles of CDKL5 in early postnatal brains. Here, we firstly measured electroencephalographic (EEG) activities via a wireless telemetry system coupled with video-recording in neonatal mice. We found that mice lacking CDKL5 exhibited spontaneous epileptic EEG discharges, accompanied with increased burst activities and ictal behaviors, specifically at postnatal day 12 (P12). Intriguingly, those epileptic spikes disappeared after P14. We next performed an unbiased transcriptome profiling in the dorsal hippocampus and motor cortex of Cdkl5 null mice at different developmental timepoints, uncovering a set of age-dependent and brain region-specific alterations of gene expression in parallel with the transient display of epileptic activities. Finally, we validated multiple differentially expressed genes (DEGs), such as glycine receptor subunit 2 and cholecystokinin, at the transcript and/or protein levels, supporting the relevance of these genes to CDKL5-regulated excitability. Our findings reveal early-onset neuronal hyperexcitability in mouse model of CDD, providing new insights into CDD etiology and potential molecular targets to ameliorate intractable neonatal epilepsy.
Keyphrases
- early onset
- genome wide
- gene expression
- mouse model
- late onset
- cerebral ischemia
- single cell
- protein kinase
- rna seq
- resting state
- dna methylation
- high fat diet induced
- preterm infants
- functional connectivity
- machine learning
- transcription factor
- genome wide identification
- spinal cord
- tyrosine kinase
- endothelial cells
- deep learning
- type diabetes
- metabolic syndrome
- risk assessment
- insulin resistance
- brain injury
- subarachnoid hemorrhage
- neuropathic pain
- amino acid
- protein protein
- high density
- smoking cessation