In vivo mapping of mutagenesis sensitivity of human enhancers
- PMID: 40533554
- DOI: 10.1038/s41586-025-09182-w
In vivo mapping of mutagenesis sensitivity of human enhancers
Abstract
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.
© 2025. The Author(s), under exclusive licence to Springer Nature Limited.
Conflict of interest statement
Competing interests: A.K. is on the scientific advisory board of SerImmune, AINovo, TensorBio and OpenTargets. A.K. was a scientific co-founder of RavelBio, a paid consultant with Illumina, was on the scientific advisory board of PatchBio and owns shares in DeepGenomics, Immunai, Freenome and Illumina. The other authors declare no competing interests.
Update of
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Mutagenesis Sensitivity Mapping of Human Enhancers In Vivo.bioRxiv [Preprint]. 2024 Sep 8:2024.09.06.611737. doi: 10.1101/2024.09.06.611737. bioRxiv. 2024. Update in: Nature. 2025 Jul;643(8072):839-846. doi: 10.1038/s41586-025-09182-w. PMID: 39282388 Free PMC article. Updated. Preprint.
References
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- Lambert, S. A. et al. The human transcription factors. Cell 172, 650–665 (2018). - PubMed

