Identifying Windows of Susceptibility by Temporal Gene Analysis

Scientific Reports
Kristin P BennettNathan C Boles

Abstract

Increased understanding of developmental disorders of the brain has shown that genetic mutations, environmental toxins and biological insults typically act during developmental windows of susceptibility. Identifying these vulnerable periods is a necessary and vital step for safeguarding women and their fetuses against disease causing agents during pregnancy and for developing timely interventions and treatments for neurodevelopmental disorders. We analyzed developmental time-course gene expression data derived from human pluripotent stem cells, with disease association, pathway, and protein interaction databases to identify windows of disease susceptibility during development and the time periods for productive interventions. The results are displayed as interactive Susceptibility Windows Ontological Transcriptome (SWOT) Clocks illustrating disease susceptibility over developmental time. Using this method, we determine the likely windows of susceptibility for multiple neurological disorders using known disease associated genes and genes derived from RNA-sequencing studies including autism spectrum disorder, schizophrenia, and Zika virus induced microcephaly. SWOT clocks provide a valuable tool for integrating data from multiple...Continue Reading

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Citations

Dec 12, 2019·Frontiers in Synaptic Neuroscience·Jorge Ojeda, Ariel Ávila
Sep 9, 2019··Hannah De los SantosKristin P. Bennett

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Datasets Mentioned

BETA
GSE56796

Methods Mentioned

BETA
RNA-seq
PCA

Software Mentioned

Clock
R
SWOT Clock
SWOT Clocks
Matlab
goseq
js
ClusterMaker
DOSE
Cytoscape

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