RT Journal Article SR Electronic T1 CNTN5−/+ or EHMT2−/+ iPSC-Derived Neurons from Individuals with Autism Develop Hyperactive Neuronal Networks JF bioRxiv FD Cold Spring Harbor Laboratory SP 368928 DO 10.1101/368928 A1 Eric Deneault A1 Muhammad Faheem A1 Sean H. White A1 Deivid C. Rodrigues A1 Song Sun A1 Wei Wei A1 Alina Piekna A1 Tadeo Thompson A1 Jennifer L. Howe A1 Leon Chalil A1 Vickie Kwan A1 Susan Walker A1 Peter Pasceri A1 Frederick P. Roth A1 Ryan K.C. Yuen A1 Karun K. Singh A1 James Ellis A1 Stephen W. Scherer YR 2018 UL http://biorxiv.org/content/early/2018/07/14/368928.abstract AB Induced pluripotent stem cell (iPSC)-derived cortical neurons are increasingly used as a model to study developmental aspects of Autism Spectrum Disorder (ASD), which is clinically and genetically heterogeneous. To study the complex relationship of rare (penetrant) variant(s) and common (weaker) polygenic risk variant(s) to ASD, “isogenic” iPSC-derived neurons from probands and family-based controls, for modeling, is critical. We developed a standardized set of procedures, designed to control for heterogeneity in reprogramming and differentiation, and generated 53 different iPSC-derived glutamatergic neuronal lines from 25 participants from 12 unrelated families with ASD (14 ASD-affected individuals, 3 unaffected siblings, 8 unaffected parents). Heterozygous de novo (7 families; 16p11.2, NRXN1, DLGAP2, CAPRIN1, VIP, ANOS1, THRA) and rare-inherited (2 families; CNTN5, AGBL4) presumed-damaging variants were characterized in ASD risk genes/loci. In three additional families, functional candidates for ASD (SET), and combinations of putative etiologic variants (GLI3/KIF21A and EHMT2/UBE2I combinations in separate families), were modeled. We used a large-scale multi-electrode array (MEA) as our primary high-throughput phenotyping assay, followed by patch clamp recordings. Our most compelling new results revealed a consistent spontaneous network hyperactivity in neurons deficient for CNTN5 or EHMT2. Our biobank of iPSC-derived neurons and accompanying genomic data are available to accelerate ASD research.