Identifying Windows of Susceptibility by Temporal Gene Analysis

Area of Science:

• Neuroscience
• Developmental Biology
• Genetics

Background:

• Neurodevelopmental disorders arise from genetic mutations, environmental toxins, or biological insults during critical developmental periods.
• Identifying these susceptible windows is crucial for prenatal protection and effective interventions for brain disorders.

Purpose of the Study:

• To identify specific windows of disease susceptibility during human brain development.
• To determine optimal time periods for therapeutic interventions in neurodevelopmental disorders.

Main Methods:

• Analysis of developmental time-course gene expression data from human pluripotent stem cells.
• Integration of disease association, pathway, and protein interaction databases.
• Utilized next-generation sequencing data and known disease-associated genes.

Main Results:

• Developed interactive Susceptibility Windows Ontological Transcriptome (SWOT) clocks to visualize disease susceptibility over developmental time.
• Identified likely windows of susceptibility for autism spectrum disorder, schizophrenia, and Zika virus-induced microcephaly.
• Demonstrated the utility of SWOT clocks in integrating diverse biological datasets.

Conclusions:

• SWOT clocks are a valuable tool for understanding developmental windows of susceptibility in neurological disorders.
• This approach aids in identifying critical periods for intervention and prevention strategies.
• Facilitates the integration of multi-omics data within a developmental context for enhanced discovery.