bioRxivDevelopmental BiologyPreprint
Human-specific enrichment of schizophrenia risk-genes in callosal neurons of the developing neocortex
Emanuela ZuccaroiD, Vanessa MurekiD, Kwanho KimiD, Hsu-Hsin CheniD, Sara MancinelliiD, Paul Oyler-CastrilloiD, Laura T. Jiménez-BarróniD, Chiara GerhardingeriD, Juliana R. BrowniD, Andrea Byrnes, Benjamin M. NealeiD, Joshua Z. LeviniD, Michael J. ZilleriD, Simona LodatoiD, Paola ArlottaiD
Abstract
Human genetic studies have provided a wealth of information on genetic risk factors associated with neuropsychiatric diseases. However, whether different brain cell types are differentially affected in disease states and when in their development and maturation alterations occur is still poorly understood. Here we generated a longitudinal transcriptional map of excitatory projection neuron (PN) and inhibitory interneuron (IN) subtypes of the cerebral cortex, across a timeline of mouse embryonic and postnatal development, as well as fetal human cortex and human cortical organoids. We found that three types of gene signatures uniquely defined each cortical neuronal subtype: dynamic (developmental), adult (terminal), and constitutive (stable), with individual neuronal subtypes varying in the degree of similarity of their signatures between species. In particular, human callosal projection neurons (CPN) displayed the greatest species divergence, with molecular signatures highly enriched for non-coding, human-specific RNAs. Evaluating the association of neuronal class-specific signatures with neuropsychiatric disease risk genes using linkage disequilibrium score regression showed that schizophrenia risk genes were enriched in CPN identity signatures from human but not mouse cortex. Human cortical organoids confirmed the association with excitatory projection neurons. The data indicate that risk gene enrichment is both species- and cell type-specific. Our study reveals molecular determinants of cortical neuron diversification and identifies human callosal projection neurons as the most species-divergent population and a potentially vulnerable neuronal class in schizophrenia.
- organism: human
- organism: mouse
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 6
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A longitudinal model of human neuronal differentiation for functional investigation of schizophrenia polygenic risk
Anil P. S. Ori, Merel H.M. Bot, … Roel A. Ophoff·Biological PsychiatryPeer-reviewed·Sep 5, 2018
- Cortical gene expression architecture links healthy neurodevelopment to the imaging, transcriptomics, and genetics of autism and schizophrenia
Richard Dear, Konrad Wagstyl, … Petra E. Vértes·bioRxiv·Oct 5, 2022
- Dynamic expression of risk genes for schizophrenia and bipolar disorder across development
Nicholas E. Clifton, Eilis J. Hannon, … Jérémy Hall·bioRxiv·May 29, 2018
- Schizophrenia polygenic risk during typical development reflects multiscale cortical organization
Matthias Kirschner, Casey Paquola, … Alain Dagher·Biological Psychiatry Global Open SciencePeer-reviewed·Aug 24, 2022
- Concerted neuron-astrocyte gene expression declines in aging and schizophrenia
Emi Ling, James C. Nemesh, … Steven A. McCarroll·NaturePeer-reviewed·Mar 6, 2024
- Cell group analysis reveals changes in upper-layer neurons associated with schizophrenia
Rujia Dai, Lulu Chen, … Chunyu Liu·bioRxiv·Oct 22, 2020