Opposing Changes in Cerebellar Dopaminergic Genes Co-Expression Networks in Different Models of Neurodevelopmental Disorders

While the cerebellar dopaminergic system is suggested to be implicated in neurodevelopmental disorders, especially autism spectrum disorder (ASD), the details of its disturbances remain unclear. We performed a comparative analysis of human (GTEx) and mouse (GSE144046, GSE144277) transcriptomes, complemented by RT-qPCR in DAT-KO rats, to identify dopaminergic gene associations in the normal cerebellum and neurodevelopmental disorder models. Pairwise dopaminergic gene correlations were generally weak, with a slight increase in interaction complexity in ASD models. However, weighted gene co-expression network analysis identified a robust gene module involving Comt, which was consistently associated with synaptic translation across mouse datasets. These associations reflect regulatory processes in the whole cerebellum, which is commonly represented in rodent studies but absent in human data, which are acquired in studies of cerebellar subregions. ASD modeling exerted contrasting effects: Cul3 haploinsufficiency increased the number of genes involved in the module with a decrease in connectivity, while Mbd5 haploinsufficiency led to module collapse. These findings confirm neurodevelopmental disorders as a heterogeneous condition where divergent backgrounds uniquely rewire cerebellar dopaminergic networks. Considering the cerebellum’s role in ASD and that some ASD medications target the dopamine system, further investigation of these identified trends may support the development of more personalized therapeutic approaches.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-06-18
DOI
https://doi.org/10.3390/ijms27125508
Primary Topic
Autism Spectrum Disorder Research
Type
article
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article

Opposing Changes in Cerebellar Dopaminergic Genes Co-Expression Networks in Different Models of Neurodevelopmental Disorders

Raul R. Gainetdinov, Anna B. Volnova, Zoia Fesenko, Anastasia Belskaya et al.
International Journal of Molecular Sciences
Autism Spectrum Disorder Research
article

Opposing Changes in Cerebellar Dopaminergic Genes Co-Expression Networks in Different Models of Neurodevelopmental Disorders

Raul R. Gainetdinov, Anna B. Volnova, Zoia Fesenko, Anastasia Belskaya, Anastasia N. Vaganova
article en

Abstract

While the cerebellar dopaminergic system is suggested to be implicated in neurodevelopmental disorders, especially autism spectrum disorder (ASD), the details of its disturbances remain unclear. We performed a comparative analysis of human (GTEx) and mouse (GSE144046, GSE144277) transcriptomes, complemented by RT-qPCR in DAT-KO rats, to identify dopaminergic gene associations in the normal cerebellum and neurodevelopmental disorder models. Pairwise dopaminergic gene correlations were generally weak, with a slight increase in interaction complexity in ASD models. However, weighted gene co-expression network analysis identified a robust gene module involving Comt, which was consistently associated with synaptic translation across mouse datasets. These associations reflect regulatory processes in the whole cerebellum, which is commonly represented in rodent studies but absent in human data, which are acquired in studies of cerebellar subregions. ASD modeling exerted contrasting effects: Cul3 haploinsufficiency increased the number of genes involved in the module with a decrease in connectivity, while Mbd5 haploinsufficiency led to module collapse. These findings confirm neurodevelopmental disorders as a heterogeneous condition where divergent backgrounds uniquely rewire cerebellar dopaminergic networks. Considering the cerebellum’s role in ASD and that some ASD medications target the dopamine system, further investigation of these identified trends may support the development of more personalized therapeutic approaches.

International Journal of Molecular SciencesVol. 27(12)
St Petersburg University (RU)
Good health and well-being
Openalex Percentile: Top 6%
Autism Spectrum Disorder Research
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