In vivo mapping of mutagenesis sensitivity of human enhancers
成果类型:
Article
署名作者:
Kosicki, Michael; Zhang, Boyang; Hecht, Vivian; Pampari, Anusri; Cook, Laura E.; Slaven, Neil; Akiyama, Jennifer A.; Plajzer-Frick, Ingrid; Novak, Catherine S.; Kato, Momoe; Tran, Stella; Hunter, Riana D.; von Maydell, Kianna; Barton, Sarah; Beckman, Erik; Zhu, Yiwen; Dickel, Diane E.; Kundaje, Anshul; Visel, Axel; Pennacchio, Len A.
署名单位:
United States Department of Energy (DOE); Lawrence Berkeley National Laboratory; Stanford University; Stanford University; University of California System; University of California Merced; University of California System; University of California Berkeley
刊物名称:
Nature
ISSN/ISSBN:
0028-1516
DOI:
10.1038/s41586-025-09182-w
发表日期:
2025-07-17
关键词:
noncoding variants
binding
EVOLUTION
INFORMATION
specificity
landscapes
expression
mutations
atlas
摘要:
Distant-acting enhancers are central to human development1. However, our limited understanding of their functional sequence features prevents the interpretation of enhancer mutations in disease2. Here we determined the functional sensitivity to mutagenesis of human developmental enhancers in vivo. Focusing on seven enhancers that are active in the developing brain, heart, limb and face, we created over 1,700 transgenic mice for over 260 mutagenized enhancer alleles. Systematic mutation of 12-base-pair blocks collectively altered each sequence feature in each enhancer at least once. We show that 69% of all blocks are required for normal in vivo activity, with mutations more commonly resulting in loss (60%) than in gain (9%) of function. Using predictive modelling, we annotated critical nucleotides at the base-pair resolution. The vast majority of motifs predicted by these machine learning models (88%) coincided with changes in in vivo function, and the models showed considerable sensitivity, identifying 59% of all functional blocks. Taken together, our results reveal that human enhancers contain a high density of sequence features that are required for their normal in vivo function and provide a rich resource for further exploration of human enhancer logic.