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Navarro, A.

Publications and source records attributed to Navarro, A..

2 recordsLinked to original sources

Gene regulatory architectures dissect the evolutionary dynamics of regulatory elements in humans and non-human primates

To gain insight into the evolution of the epigenetic regulation of gene expression in primates, we extensively profiled a new panel of human, chimpanzee, gorilla, orangutan, and macaque lymphoblastoid cell lines (LCLs), using ChIP-seq for five histone marks, ATAC-seq and RNA-seq, further complemented with WGS and WGBS. We annotated regulatory elements and integrated chromatin contact maps to define gene regulatory architectures, creating the largest catalog of regulatory elements in primates to date. We report that epigenetic conservation and its correlation with sequence conservation in primates depends on the activity state of the regulatory element. Our gene regulatory architectures reveal the coordination of different types of components and highlight the role of promoters and intragenic enhancers in the regulation of gene expression. We observed that most regulatory changes occur in weakly active intragenic enhancers. Remarkably, novel human-specific intragenic enhancers with weak activities are enriched in human-specific mutations. These elements appear in genes with signals of positive selection, tissue-specific expression and particular functional enrichments, suggesting that the regulatory evolution of these genes may have contributed to human adaptation.

evolutionary biology

Mutation distribution density in tumors reconstructs human’s lost diversity

Introductory ParagraphMutations do not accumulate uniformly across the genome. Human germline and tumor mutation density correlate poorly, and each is associated with different genomic features. Here, we analyze the genome-wide distribution of mutation densities in human and non-human Great Ape (NHGA) germlines as well as human tumors. Strikingly, non-human Great Ape germlines present higher correlation with tumors than the human germline does. This situation is mediated by a different distribution in the human germline of mutations at non-CpG sites, but not of CpG>T transitions. We propose that the impact of ancestral and historical human demographic events on human mutation density leads to this specific disruption in its expected genome-wide distribution. Tumors partially recover this distribution by the accumulation of pre-neoplastic-like somatic mutations. Our results highlight the potential utility of using Great Ape population data, rather than human controls, to establish the expected mutational background of healthy somatic cells.

cancer biology