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Autism spectrum disorder: insights into convergent mechanisms from transcriptomics
Mathieu Quesnel-Vallières1,2,3,4, Robert J Weatheritt5,6, Sabine P Cordes7,8
1Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada. mathieu.quesnel-vallieres@pennmedicine.upenn.edu.
Genetic factors significantly influence autism spectrum disorder (ASD). Transcriptomic analysis reveals distinct brain signatures in many autistic individuals, impacting neuronal activity and splicing.
Area of Science:
- Neurogenetics
- Molecular Psychiatry
- Developmental Neuroscience
Background:
- Autism spectrum disorder (ASD) has a strong genetic component, but causal variants are identified in only a minority of cases.
- The genetic heterogeneity of ASD necessitates identifying convergent molecular pathways.
- Understanding these pathways is crucial for developing effective interventions.
Purpose of the Study:
- To review how transcriptomic analyses have advanced the understanding of pathway convergence in ASD.
- To highlight the role of distinct transcriptomic signatures in autistic brains.
- To explore the impact of altered neuronal activity on gene expression and splicing in ASD.
Main Methods:
- Review of recent transcriptomic analyses, including deep RNA sequencing.
- Downstream investigations of identified transcriptomic signatures.
- Analysis of pre-mRNA alternative splicing patterns.
Main Results:
- Transcriptomic analyses have revealed distinct molecular signatures in a significant proportion of autistic brains.
- These signatures are linked to altered neuronal activity.
- A notable impact on pre-mRNA alternative splicing patterns was observed.
Conclusions:
- Transcriptomic data provides critical insights into the molecular mechanisms underlying ASD.
- Pathway convergence, particularly through altered splicing, is a key feature in a subset of ASD cases.
- Further research into these transcriptomic signatures may identify novel therapeutic targets.
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