ArticleNature communications2025
Decoding DNA sequence-driven evolution of the human brain epigenome at cellular resolution.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- A Human Accelerated Region Drives Opposing Heterochronic Changes in Craniofacial and Limb Development.bioRxiv : the preprint server for biology · 2026Article
- Decoding DNA sequence-driven evolution of the human brain epigenome at cellular resolution.Nature communications · 2025Article
- Reconstructing human-specific regulatory functions in model systems.Current opinion in genetics & development · 2024Review
- Studies on copper (II) interaction with the (CCG)Journal of Alzheimer's disease reportsArticle
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Abstract
DNA-based evolutionary comparisons of regulatory genomic elements enable insight into functional changes driven in cis, partially overcoming tissue inaccessibility. Here, we harnessed adult and fetal cortex single-cell ATAC-seq datasets to uncover DNA substitutions specific to the human and human-ancestral lineages within apes. We found that fetal microglia identity is evolutionarily divergent in all lineages, whereas other cell types are conserved. Using multiomic datasets, we further identified genes linked to multiple lineage-divergent gene regulatory elements and implicated biological pathways associated with these divergent features. We also uncovered patterns of transcription factor binding site evolution across lineages and identified expansion of bHLH-PAS transcription factor targets in human-hominin lineages, and MEF2 transcription factor targets in the ape lineage. Finally, conserved features were more enriched in brain disease variants, whereas there was no distinct enrichment of brain disease variants on the human lineage compared to its ancestral lineages. Our study identifies ancestral evolutionary patterns of the human brain epigenome at cellular resolution.
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