Developmental convergence and divergence in human stem cell models of autism spectrum disorder
Aaron GordoniD, Se‐Jin YooniD, Lucy K. BicksiD, Jacqueline M. MartíniD, Greta PintacudaiD, Stephanie ArteagaiD, Brie WamsleyiD, Qiuyu GuoiD, Lubayna S. ElahiiD, Ricardo E. DolmetschiD, Jonathan Adam BernsteiniD, Ruth M. O'HaraiD, Joachim Franz HallmayeriD, Kasper LageiD, Sergiu P. PașcaiD, Daniel H. GeschwindiD
Abstract
Two decades of genetic studies in autism spectrum disorder (ASD) have identified over a hundred genes harboring rare risk mutations. Despite this substantial heterogeneity, transcriptomic and epigenetic analyses have identified convergent patterns of dysregulation across ASD post-mortem brain tissue. To identify shared and distinct mutational mechanisms, we assembled the largest hiPS cell patient cohort to date, consisting of 70 hiPS cell lines after stringent quality control representing 8 ASD-associated mutations, idiopathic ASD, and 20 lines from non-affected controls. We used these hiPS lines to generate human cortical organoids (hCO), profiling by RNAseq at four distinct timepoints up to 100 days of in vitro differentiation. Early timepoints harbored the largest mutation-specific changes, but different genetic forms converged on shared transcriptional changes as development progressed. We identified a shared RNA and protein interaction network, which was enriched in ASD risk genes and predicted to drive the observed down-stream changes in gene expression. CRISPR-Cas9 screening of these candidate transcriptional regulators in induced human neural progenitors validated their downstream molecular convergent effects. These data illustrate how genetic risk can propagate via transcriptional regulation to impact convergently dysregulated pathways, providing new insight into the convergent impact of ASD genetic risk on human neurodevelopment.
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