Molecular features driving cellular complexity of human brain evolution.

Bibliographic Collection: 
CARTA-Inspired Publication
Publication Type: Journal Article
Authors: Caglayan, Emre; Ayhan, Fatma; Liu, Yuxiang; Vollmer, Rachael M; Oh, Emily; Sherwood, Chet C; Preuss, Todd M; Yi, Soojin V; Konopka, Genevieve
Year of Publication: 2023
Journal: Nature
Volume: 620
Issue: 7972
Pagination: 145-153
Date Published: 2023 Aug
Publication Language: eng
ISSN: 1476-4687
Keywords: Animals, Cell Nucleus, Chromatin, Chromatin Assembly and Disassembly, Datasets as Topic, Evolution, Molecular, Genome, Human, Genomics, Gyrus Cinguli, Humans, Macaca mulatta, Neurons, Oligodendroglia, Pan troglodytes, Single-Cell Gene Expression Analysis, Stem Cells, Transposases
Abstract:

Human-specific genomic changes contribute to the unique functionalities of the human brain. The cellular heterogeneity of the human brain and the complex regulation of gene expression highlight the need to characterize human-specific molecular features at cellular resolution. Here we analysed single-nucleus RNA-sequencing and single-nucleus assay for transposase-accessible chromatin with sequencing datasets for human, chimpanzee and rhesus macaque brain tissue from posterior cingulate cortex. We show a human-specific increase of oligodendrocyte progenitor cells and a decrease of mature oligodendrocytes across cortical tissues. Human-specific regulatory changes were accelerated in oligodendrocyte progenitor cells, and we highlight key biological pathways that may be associated with the proportional changes. We also identify human-specific regulatory changes in neuronal subtypes, which reveal human-specific upregulation of FOXP2 in only two of the neuronal subtypes. We additionally identify hundreds of new human accelerated genomic regions associated with human-specific chromatin accessibility changes. Our data also reveal that FOS::JUN and FOX motifs are enriched in the human-specifically accessible chromatin regions of excitatory neuronal subtypes. Together, our results reveal several new mechanisms underlying the evolutionary innovation of human brain at cell-type resolution.

DOI: 10.1038/s41586-023-06338-4
Alternate Journal: Nature