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Exonic enhancers are a widespread class of dual-function regulatory elements
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Abstract
Exonic enhancers (EEs) occupy an under-appreciated niche in gene regulation. By integrating transcription factor binding, chromatin accessibility, and high-throughput enhancer-reporter assays, we demonstrate that many protein-coding exons possess enhancer activity across species. These candidate EEs (cEEs) exhibit characteristic epigenomic signatures, form long-range interactions with gene promoters, and can be altered by both nonsynonymous and synonymous variants. CRISPR-mediated inactivation demonstrated the involvement of cEEs in the cis-regulation of host and distal gene expression. Through large-scale cancer genome analyses, we reveal that cEE mutations correlate with dysregulated target-gene expression and clinical outcomes, highlighting their potential relevance in disease. Evolutionary comparisons show that cEEs exhibit both strong sequence constraint and lineage-specific plasticity, suggesting that they serve ancient regulatory functions while also contributing to species divergence. Our findings expand the landscape of functional elements by establishing cEEs as a component of gene regulation, while revealing how coding regions can simultaneously fulfil both protein-coding and cis-regulatory roles.
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Enhancer function: new insights into the regulation of tissue-specific gene expression
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Index and biological spectrum of human DNase I hypersensitive sites
Meuleman, W., Muratov, A., Rynes, E., Halow, J., Lee, K., Bates, D., Diegel, M., Dunn, D., Neri, F., Teodosiadis, A., et al. (2020) · Nature · doi:10.1038/s41586-020-2559-3 · Cited by 331
Flagged first, then by citations
Research works printed but not linked: 62
- Neznanov, N., Umezawa, A. & Oshima, R. G. A regulatory element within a coding exon modulates keratin 18 gene expression in transgenic mice *. J. Biol. Chem. 272, 27549–27557 (1997). · DOI
- Lampe, X. et al. An ultraconserved Hox-Pbx responsive element resides in the coding sequence of Hoxa2 and is active in rhombomere 4. Nucleic Acids Res. 36, 3214–3225 (2008). · DOI
- Dong, X. et al. Exonic remnants of whole-genome duplication reveal cis-regulatory function of coding exons. Nucleic Acids Res. 38, 1071–1085 (2010). · DOI
- Tümpel, S., Cambronero, F., Sims, C., Krumlauf, R. & Wiedemann, L. M. A regulatory module embedded in the coding region of Hoxa2 controls expression in rhombomere 2. Proc. Natl. Acad. Sci. USA. 105, 20077–20082 (2008). · DOI
- Lin, M. F. et al. Locating protein-coding sequences under selection for additional, overlapping functions in 29 mammalian genomes. Genome Res. 21, 1916–1928 (2011). · DOI
- Stergachis, A. B. et al. Exonic transcription factor binding directs codon choice and impacts protein evolution. Science 342, 1367 (2013). · DOI
- Birnbaum, R. Y. et al. Coding exons function as tissue-specific enhancers of nearby genes. Genome Res. 22, 1059–1068 (2012). · DOI
- Birnbaum, R. Y. et al. Systematic dissection of coding exons at single nucleotide resolution supports an additional role in cell-specific transcriptional regulation. PLOS Genet. 10, e1004592 (2014). · DOI
- Ritter, D. I., Dong, Z., Guo, S. & Chuang, J. H. Transcriptional enhancers in protein-coding exons of vertebrate developmental genes. PLoS ONE 7, e35202 (2012). · DOI
- Chen, J. et al. Prevalent use and evolution of exonic regulatory sequences in the human genome. Nat. Sci. 3, e20220058 (2023). · DOI
- Ahituv, N. Exonic enhancers: proceed with caution in exome and genome sequencing studies. Genome Med. 8, 14 (2016). · DOI
- Hammal, F., de Langen, P., Bergon, A., Lopez, F. & Ballester, B. ReMap 2022: a database of human, mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments. Nucleic Acids Res. 50, D316–D325 (2022). · DOI
- ENCODE Project Consortium et al. Expanded encyclopaedias of DNA elements in the human and mouse genomes. Nature 583, 699–710 (2020). · DOI · Paper page
- Zou, Z., Ohta, T. & Oki, S. ChIP-Atlas 3.0: a data-mining suite to explore chromosome architecture together with large-scale regulome data. Nucleic Acids Res. 52, W45–W53 (2024). · DOI
- Forrest, A. R. R. et al. A promoter-level mammalian expression atlas. Nature 507, 462–470 (2014). · DOI · Paper page
- Andersson, R. et al. An atlas of active enhancers across human cell types and tissues. Nature 507, 455–461 (2014). · DOI · Paper page
- Heintzman, N. D. et al. Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome. Nat. Genet. 39, 311–318 (2007). · DOI · Paper page
- Pekowska, A., Benoukraf, T., Ferrier, P. & Spicuglia, S. A unique H3K4me2 profile marks tissue-specific gene regulation. Genome Res. 20, 1493–1502 (2010). · DOI
- Thurman, R. E. et al. The accessible chromatin landscape of the human genome. Nature 489, 75–82 (2012). · DOI · Paper page
- Mercer, T. R. et al. DNase I–hypersensitive exons colocalize with promoters and distal regulatory elements. Nat. Genet. 45, 852–859 (2013). · DOI
- Varshney, D., Spiegel, J., Zyner, K., Tannahill, D. & Balasubramanian, S. The regulation and functions of DNA and RNA G-quadruplexes. Nat. Rev. Mol. Cell Biol. 21, 459–474 (2020). · DOI
- Esnault, C. et al. G4access identifies G-quadruplexes and their associations with open chromatin and imprinting control regions. Nat. Genet. 55, 1359–1369 (2023). · DOI
- Laverré, A., Tannier, E. & Necsulea, A. Long-range promoter–enhancer contacts are conserved during evolution and contribute to gene expression robustness. Genome Res. 32, 280–296 (2022). · DOI
- Gschwind, A. R. et al. An encyclopedia of enhancer-gene regulatory interactions in the human genome. BioRxiv 11, 563812 (2023).
- Karczewski, K. J. et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature 581, 434–443 (2020). · DOI · Paper page
- Castro-Mondragon, J. A. et al. JASPAR 2022: the 9th release of the open-access database of transcription factor binding profiles. Nucleic Acids Res. 50, D165–D173 (2022). · DOI · Paper page
- Santiago-Algarra, D. et al. Epromoters function as a hub to recruit key transcription factors required for the inflammatory response. Nat. Commun. 12, 6660 (2021). · DOI
- Lonsdale, J. et al. The genotype-tissue expression (GTEx) project. Nat. Genet. 45, 580–585 (2013). · DOI · Paper page
- Hoadley, K. A. et al. Cell-of-origin patterns dominate the molecular classification of 10,000 tumors from 33 types of cancer. Cell 173, 291–304.e6 (2018). · DOI · Paper page
- Schmidt, D. et al. Five-vertebrate ChIP-seq reveals the evolutionary dynamics of transcription factor binding. Science 328, 1036–1040 (2010). · DOI · Paper page
- Ballester, B. et al. Multi-species, multi-transcription factor binding highlights conserved control of tissue-specific biological pathways. elife 3, e02626 (2014). · DOI · Paper page
- Perez, G. et al. The UCSC genome browser database: 2025 update. Nucleic Acids Res 53, D1243–D1249 (2025). · DOI
- Piovesan, D. et al. MOBIDB in 2025: integrating ensemble properties and function annotations for intrinsically disordered proteins. Nucleic Acids Res. 53, D495–D503 (2025). · DOI
- Frankish, A. et al. GENCODE: reference annotation for the human and mouse genomes in 2023. Nucleic Acids Res. 51, D942–D949 (2023). · DOI
- Howe, K. L. et al. Ensembl 2021. Nucleic Acids Res. 49, D884–D891 (2021). · DOI
- Bailey, M. H. et al. Comprehensive characterization of cancer driver genes and mutations. Cell 173, 371–385.e18 (2018). · DOI · Paper page
- Schon, M. A., Kellner, M. J., Plotnikova, A., Hofmann, F. & Nodine, M. D. NanoPARE: parallel analysis of RNA 5’ ends from low-input RNA. Genome Res. 28, 1931–1942 (2018). · DOI
- Thieffry, A. et al. Characterization of Arabidopsis thaliana promoter bidirectionality and antisense RNAs by inactivation of nuclear RNA decay pathways. Plant Cell 32, 1845–1867 (2020). · DOI
- Tian, F., Yang, D.-C., Meng, Y.-Q., Jin, J. & Gao, G. PlantRegMap: charting functional regulatory maps in plants. Nucleic Acids Res. 48, D1104–D1113 (2020).
- de Langen, P. et al. Characterizing intergenic transcription at RNA polymerase II binding sites in normal and cancer tissues. Cell Genom. 3, 100411 (2023). · DOI
- Ramírez, F., Dündar, F., Diehl, S., Grüning, B. A. & Manke, T. deepTools: a flexible platform for exploring deep-sequencing data. Nucleic Acids Res. 42, W187–W191 (2014). · DOI · Paper page
- Marsico, G. et al. Whole genome experimental maps of DNA G-quadruplexes in multiple species. Nucleic Acids Res. 47, 3862–3874 (2019). · DOI
- Einson, J., Minaeva, M., Rafi, F. & Lappalainen, T. The impact of genetically controlled splicing on exon inclusion and protein structure. PloS One 19, e0291960 (2024). · DOI
- Rodriguez, J. M. et al. APPRIS: selecting functionally important isoforms. Nucleic Acids Res. 50, D54–D59 (2022). · DOI
- GTEx Consortium The GTEx consortium atlas of genetic regulatory effects across human tissues. Science 369, 1318–1330 (2020). · DOI · Paper page
- Uhlen, M. et al. A genome-wide transcriptomic analysis of protein-coding genes in human blood cells. Science 366, eaax9198 (2019). · DOI · Paper page
- Uhlén, M. et al. Transcriptomics resources of human tissues and organs. Mol. Syst. Biol. 12, 862 (2016). · DOI
- Steinhaus, R., Robinson, P. N. & Seelow, D. FABIAN-variant: predicting the effects of DNA variants on transcription factor binding. Nucleic Acids Res. 50, W322–W329 (2022). · DOI
- Li, H. et al. The sequence alignment/map format and SAMtools. Bioinforma. Oxf. Engl. 25, 2078–2079 (2009). · DOI · Paper page
- Long, E. et al. Massively parallel reporter assays and variant scoring identified functional variants and target genes for melanoma loci and highlighted cell-type specificity. Am. J. Hum. Genet. 109, 2210–2229 (2022). · DOI
- Nei, M. & Gojobori, T. Simple methods for estimating the numbers of synonymous and nonsynonymous nucleotide substitutions. Mol. Biol. Evol. 3, 418–426 (1986).
- Concordet, J.-P. & Haeussler, M. CRISPOR: intuitive guide selection for CRISPR/Cas9 genome editing experiments and screens. Nucleic Acids Res. 46, W242–W245 (2018). · DOI
- Quinlan, A. R. & Hall, I. M. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinforma. Oxf. Engl. 26, 841–842 (2010). · DOI · Paper page
- Ellrott, K. et al. Scalable open science approach for mutation calling of tumor exomes using multiple genomic pipelines. Cell Syst. 6, 271–281.e7 (2018). · DOI
- Muzellec, B., Teleńczuk, M., Cabeli, V. & Andreux, M. PyDESeq2: a Python package for bulk RNA-seq differential expression analysis. Bioinforma. Oxf. Engl. 39, btad547 (2023). · DOI · Paper page
- Cheng, X. et al. cSurvival: a web resource for biomarker interactions in cancer outcomes and in cell lines. Brief. Bioinform. 23, bbac090 (2022). · DOI
- Sollis, E. et al. The NHGRI-EBI GWAS catalog: knowledgebase and deposition resource. Nucleic Acids Res. 51, D977–D985 (2023). · DOI · Paper page
- 1000 Genomes Project Consortium et al. A global reference for human genetic variation. Nature 526, 68–74 (2015). · DOI · Paper page
- Paten, B., Herrero, J., Beal, K., Fitzgerald, S. & Birney, E. Enredo and Pecan: genome-wide mammalian consistency-based multiple alignment with paralogs. Genome Res. 18, 1814–1828 (2008). · DOI
- Crusoe, M. R. et al. The khmer software package: enabling efficient nucleotide sequence analysis. F1000Research 4, 900 (2015). · DOI
- Trigos, A. S., Pearson, R. B., Papenfuss, A. T. & Goode, D. L. Altered interactions between unicellular and multicellular genes drive hallmarks of transformation in a diverse range of solid tumors. Proc. Natl. Acad. Sci. USA 114, 6406–6411 (2017). · DOI
- Li, Y., Aguilar-Martinez, E. & Sharrocks, A. D. Geno2proteo, a tool for batch retrieval of DNA and protein sequences from any genomic or protein regions. J. Integr. Bioinforma. 16, 20180090 (2019). · DOI
Metadata
- Authors
- Mouren, J.-C., Torres, M., van Ouwerkerk, A., Manosalva, I., Gallardo, F., Spicuglia, S., & Ballester, B.
- Affiliations
- Inserm (FR)
- ORCID
- Venue
- Nature Communications
- Published
- 2026-04-02
- Volume
- 17
- Issue
- 1
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W7147689203
- Cited by
- 4
- References
- 5
- Citations by year
- 2026: 4
- FWCI
- 8.27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nature Communications (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- HAL (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Ministère de l'Enseignement Supérieur, de la Recherche, de la Science et de la Technologie
- EC | Horizon 2020 Framework Programme (Eprom-101065610)
- Agence Nationale de la Recherche (ANR-23-CE12-0008-01)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Chromosomal and Genetic Variations
- Keywords
- cis-regulation, long-range chromatin interactions, transcription factor binding, chromatin accessibility, enhancer mutations, non-synonymous mutations, synonymous mutations, evolutionary constraints, sequence constraints
- MeSH terms
- Animals, Chromatin, Enhancer Elements, Genetic, Exons, Gene Expression Regulation, Humans, Mutation, Promoter Regions, Genetic, Transcription Factors, Evolution, Molecular
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