comparemela.com

Divergence of cis-regulatory elements drives species-specific traits1, but how this manifests in the evolution of the neocortex at the molecular and cellular level remains unclear. Here we investigated the gene regulatory programs in the primary motor cortex of human, macaque, marmoset and mouse using single-cell multiomics assays, generating gene expression, chromatin accessibility, DNA methylome and chromosomal conformation profiles from a total of over 200,000 cells. From these data, we show evidence that divergence of transcription factor expression corresponds to species-specific epigenome landscapes. We find that conserved and divergent gene regulatory features are reflected in the evolution of the three-dimensional genome. Transposable elements contribute to nearly 80% of the human-specific candidate cis-regulatory elements in cortical cells. Through machine learning, we develop sequence-based predictors of candidate cis-regulatory elements in different species and demonstrate that the genomic regulatory syntax is highly preserved from rodents to primates. Finally, we show that epigenetic conservation combined with sequence similarity helps to uncover functional cis-regulatory elements and enhances our ability to interpret genetic variants contributing to neurological disease and traits. A single-cell multiomics analysis of over 200,000 cells of the primary motor cortex of human, macaque, marmoset and mouse shows that divergence of transcription factor expression corresponds to species-specific epigenome landscapes, and conserved and divergent gene regulatory features are reflected in the evolution of the three-dimensional genome.

Related Keywords

Las Vegas ,Initiative Cell Census Network ,International Multiple Sclerosis Genetics Consortium ,Association For Computing Machinery ,International Conference On Knowledge Discovery ,Human Gene Deserts ,Long Range Enhancers ,Lawrence Berkeley National Laboratory ,Cell Res ,Cell Census Network ,Genome Biol ,Browser Database ,Acids Res ,Knowledge Discovery ,Data Mining ,Computing Machinery ,Multiple Sclerosis Genetics ,Open Source Softw ,Computer Vision ,Pattern Recognition ,

© 2024 Vimarsana

comparemela.com © 2020. All Rights Reserved.