In JoVE (1)
Other Publications (1)
Articles by Ammar Jabali in JoVE
Generation of Standardized and Reproducible Forebrain-type Cerebral Organoids from Human Induced Pluripotent Stem Cells Olivia Krefft*1, Ammar Jabali*1, Vira Iefremova1, Philipp Koch1,2,3, Julia Ladewig1 1Institute of Reconstructive Neurobiology, University of Bonn, 2Central Institute of Mental Health, University of Heidelberg/Medical Faculty Mannheim, 3Hector Institute for Translational Brain Research (HITBR gGmbH) Cerebral organoids represent a new model system to investigate early human brain development in vitro. This article provides the detailed methodology to efficiently generate homogeneous dorsal forebrain-type organoids from human induced pluripotent stem cells including critical characterization and validation steps.
Other articles by Ammar Jabali on PubMed
An Organoid-Based Model of Cortical Development Identifies Non-Cell-Autonomous Defects in Wnt Signaling Contributing to Miller-Dieker Syndrome Cell Reports. Apr, 2017 | Pubmed ID: 28380362 Miller-Dieker syndrome (MDS) is caused by a heterozygous deletion of chromosome 17p13.3 involving the genes LIS1 and YWHAE (coding for 14.3.3ε) and leads to malformations during cortical development. Here, we used patient-specific forebrain-type organoids to investigate pathological changes associated with MDS. Patient-derived organoids are significantly reduced in size, a change accompanied by a switch from symmetric to asymmetric cell division of ventricular zone radial glia cells (vRGCs). Alterations in microtubule network organization in vRGCs and a disruption of cortical niche architecture, including altered expression of cell adhesion molecules, are also observed. These phenotypic changes lead to a non-cell-autonomous disturbance of the N-cadherin/β-catenin signaling axis. Reinstalling active β-catenin signaling rescues division modes and ameliorates growth defects. Our data define the role of LIS1 and 14.3.3ε in maintaining the cortical niche and highlight the utility of organoid-based systems for modeling complex cell-cell interactions in vitro.