SFARI | Topic: Molecular Mechanisms

Classifying axon pathology in autism using machine learning and deep neural network analyses

In the current project, Basilis Zikopoulos and Arash Yazdanbakhsh plan to use sophisticated methodologies of machine learning to classify white matter cortical pathways in postmortem brain tissue samples from individuals with ASD and neurotypical individuals. Results from this study will provide novel data on key features of typical cortical white matter pathways and axon pathology in ASD.

Cellular resolution multi-omics of white matter tracts in autism

White matter tracts are brain regions that have been understudied at the cellular and molecular level yet are clearly functionally altered in individuals with ASD. In the current project, Genevieve Konopka plans to assess the molecular make-up of the cellular constituents of white matter tracts in postmortem brain tissue from individuals with ASD compared with neurotypical individuals.

Broad transcriptomic dysregulation occurs across the cerebral cortex in ASD.

Orgo-Seq integrates single-cell and bulk transcriptomic data to identify cell type specific-driver genes associated with autism spectrum disorder.

Autism NPCs from both idiopathic and CNV 16p11.2 deletion patients exhibit dysregulation of proliferation and mitogenic responses.

RNA sequencing of transformed lymphoblastoid cells from siblings discordant for autism spectrum disorders reveals transcriptomic and functional alterations: Evidence for sex-specific effects.

Cell type-specific assessment of cholesterol distribution in models of neurodevelopmental disorders.

A single-cell trajectory atlas of striatal development.

Rubella virus tropism and single cell responses in human primary tissue and microglia-containing organoids.

In vivo proximity ligation reveals endogenous candidate interactors of neurexin’s intracellular domain.