Biology OpenNeurosciencePeer-reviewed journal article
Deficiency of the Heterogeneous Nuclear Ribonucleoprotein U locus leads to delayed hindbrain neurogenesis
Francesca MastropasquaiD, Marika OksaneniD, Cristina Soldini, Shemim AlatariD, Abishek AroraiD, Roberto BallarinoiD, Maya MolinariiD, Federico AgostiniiD, Axel PouletiD, Michelle Evelyn WattsiD, Ielyzaveta RabkinaiD, Martin BeckeriD, Danyang LiiD, Britt‐Marie AnderlidiD, Johan IsakssoniD, Karl Lundin RemnéliusiD, Mohsen MoslemiD, Yannick JacobiD, Anna FalkiD, Nicola CrosettoiD, Magda BienkoiD, Emanuela SantiniiD, Anders BorgkvistiD, Sven BölteiD, Kristiina TammimiesiD
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Abstract
Genetic variants affecting Heterogeneous Nuclear Ribonucleoprotein U (HNRNPU) have been identified in several neurodevelopmental disorders (NDDs). HNRNPU is widely expressed in the human brain and shows the highest postnatal expression in the cerebellum. Recent studies have investigated the role of HNRNPU in cerebral cortical development, but the effects of HNRNPU deficiency on cerebellar development remain unknown. Here, we describe the molecular and cellular outcomes of HNRNPU locus deficiency during in vitro neural differentiation of patient-derived and isogenic neuroepithelial stem cells with a hindbrain profile. We demonstrate that HNRNPU deficiency leads to chromatin remodeling of A/B compartments, and transcriptional rewiring, partly by impacting exon inclusion during mRNA processing. Genomic regions affected by the chromatin restructuring and host genes of exon usage differences show a strong enrichment for genes implicated in epilepsies, intellectual disability, and autism. Lastly, we show that at the cellular level. HNRNPU downregulation leads to altered neurogenesis and an increased fraction of neural progenitors in the maturing neuronal population. We conclude that, HNRNPU locus is involved in delayed commitment of neural progenitors to neuronal maturation in cell types with hindbrain profile.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
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