Science AdvancesNeurosciencePeer-reviewed journal article
Multi-omic profiling of the developing human cerebral cortex at the single cell level
Kaiyi ZhuiD, Jaroslav M. BendliD, Samir RahmaniD, James M. VicariiD, Claire Coleman, Tereza ClarenceiD, Ovaun Latouche, Nadejda M. TsankovaiD, Aiqun LiiD, Kristen BrennandiD, Donghoon LeeiD, Guo‐Cheng YuaniD, John F. FullardiD, Panos RoussosiD
Abstract
The cellular complexity of the human brain is established via dynamic changes in gene expression throughout development that is mediated, in part, by the spatiotemporal activity of cis-regulatory elements. We simultaneously profiled gene expression and chromatin accessibility in 45,549 cortical nuclei across 6 broad developmental time-points from fetus to adult. We identified cell-type specific domains in which chromatin accessibility is highly correlated with gene expression. Differentiation pseudotime trajectory analysis indicates that chromatin accessibility at cis-regulatory elements precedes transcription and that dynamic changes in chromatin structure play a critical role in neuronal lineage commitment. In addition, we mapped cell-type and temporally specific genetic loci implicated in neuropsychiatric traits, including schizophrenia and bipolar disorder. Together, our results describe the complex regulation of cell composition at critical stages in lineage determination, serve as a developmental blueprint of the human brain and shed light on the impact of spatiotemporal alterations in gene expression on neuropsychiatric disease. One-Sentence SummarySimultaneous profiling of gene expression and chromatin accessibility in single nuclei from 6 developmental time-points sheds light on cell fate determination in the human cerebral cortex and on the molecular basis of neuropsychiatric disease.
- organism: human
- assay: scRNA-seq
- assay: ATAC-seq
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- Citations
- 119
- FWCI
- 10.56
- Field percentile
- top 1%
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