Human-specific enrichment of schizophrenia risk-genes in callosal neurons of the developing neocortex
Zuccaro, E.; Murek, V.; Kim, K.; Chen, H.-H.; Mancinelli, S.; Oyler-Castrillo, P.; Jimenez Barron, L. T.; Gerhardinger, C.; Brown, J. R.; Byrnes, A.; Neale, B.; Levin, J. Z.; Ziller, M. J.; Lodato, S.; Arlotta, P.
Show 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.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Cell-type, single-cell, and spatial signatures of brain-region specific splicing in postnatal development 98%
- Early Developmental Origins of Cortical Disorders Modeled in Human Neural Stem Cells 97%
- Transcriptome and chromatin accessibility landscapes across 25 distinct human brain regions expand the susceptibility gene set for neuropsychiatric disorders 97%
Similar papers in this journal
Similar papers in this journal
- A Meta-Atlas of the Developing Human Cortex Identifies Modules Driving Cell Subtype Specification 98%
- Comparative molecular landscapes of immature neurons in the mammalian dentate gyrus across species reveal special features in humans 97%
- FOXP Genes Regulate Purkinje Cell Diversity in Cerebellar Development and Evolution 97%
Similar papers in this journal
- Resolving the three-dimensional interactome of Human Accelerated Regions during human and chimpanzee neurodevelopment 97%
- Chromatin and gene-regulatory dynamics of the developing human cerebral cortex at single-cell resolution 97%
- Global Spatial Transcriptome of Macaque Brain at Single-Cell Resolution 96%
Similar papers in this journal
- Integrated single-cell transcriptomic and epigenetic analyses of cell-state transition and lineage commitment in the embryonic mouse cerebellum 97%
- Single-cell genomics reveals region-specific developmental trajectories underlying neuronal diversity in the human hypothalamus 97%
- A telencephalon cell type atlas for goldfish reveals diversity in the evolution of spatial structure and cell types 97%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.