The DOI matches its Crossref record; 64 of the 65 references it cites were found in a registry or an index.
Enhancer and promoter interactions—long distance calls
Open accessAbstract
In metazoans, enhancers of gene transcription must often exert their effects over tens of kilobases of DNA. Over the past decade it has become clear that to do this, enhancers come into close proximity with target promoters with the looping away of intervening sequences. In a few cases proteins that are involved in the establishment or maintenance of these loops have been revealed but how the proper gene target is selected remains mysterious. Chromatin insulators had been appreciated as elements that play a role in enhancer fidelity through their enhancer blocking or barrier activity. However, recent work suggests more direct participation of insulators in enhancer-gene interactions. The emerging view begins to incorporate transcription activation by distant enhancers with large scale nuclear architecture and subnuclear movement.
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“As enhancers are often located at a considerable distance from their target genes, it is believed they function by recruiting specific chromatin remodeling factors that promote the formation of chromatin loops, bringing the enhancer and promoter into close proximity [178].”
From Genetic architecture of Alzheimer's disease (2020) · cites this paper as [178]
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Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome
Lieberman-Aiden, E., van Berkum, N. L., Williams, L., Imakaev, M., Ragoczy, T., Telling, A., Amit, I., Lajoie, B. R., Sabo, P. J., Dorschner, M. O., et al. (2009) · Science · doi:10.1126/science.1181369 · Cited by 8,898
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Guttman, M., Amit, I., Garber, M., French, C., Lin, M. F., Feldser, D., Huarte, M., Zuk, O., Carey, B. W., Cassady, J. P., et al. (2009) · Nature · doi:10.1038/nature07672 · Cited by 4,098
Capturing Chromosome Conformation
Dekker, J., Rippe, K., Dekker, M., & Kleckner, N. (2002) · Science · doi:10.1126/science.1067799 · Cited by 3,652
Cabili, M. N., Trapnell, C., Goff, L. A., Koziol, M. J., Tazón‐Vega, B., Regev, A., & Rinn, J. L. (2011) · Genes & Development · doi:10.1101/gad.17446611 · Cited by 3,551
Heintzman, N. D., Stuart, R. K., Hon, G., Fu, Y., Ching, C. W., Hawkins, R. D., Barrera, L. O., Van Calcar, S., Qu, C., Ching, K. A., et al. (2007) · Nature Genetics · doi:10.1038/ng1966 · Cited by 3,398 · cited 3×
“Enhancers and long, non-coding RNAs Genome profiling revealed that it is not unusual for RNA pol II to localize at enhancers [10].”
BackgroundWidespread transcription at neuronal activity-regulated enhancers
Kim, T.-K., Hemberg, M., Gray, J. M., Costa, A. M., Bear, D. M., Wu, J., Harmin, D. A., Laptewicz, M., Barbara-Haley, K., Kuersten, S., et al. (2010) · Nature · doi:10.1038/nature09033 · Cited by 2,450
Mediator and cohesin connect gene expression and chromatin architecture
Kagey, M. H., Newman, J. J., Bilodeau, S., Zhan, Y., Orlando, D. A., van Berkum, N. L., Ebmeier, C. C., Goossens, J., Rahl, P. B., Levine, S. S., et al. (2010) · Nature · doi:10.1038/nature09380 · Cited by 1,939
An oestrogen-receptor-α-bound human chromatin interactome
Fullwood, M. J., Liu, M. H., Pan, Y. F., Liu, J., Han, X., Mohamed, Y. B., Orlov, Y. L., Velkov, S., Ho, A., Poh, H. M., et al. (2009) · Nature · doi:10.1038/nature08497 · Cited by 1,752
Long Noncoding RNAs with Enhancer-like Function in Human Cells
Ørom, U. A., Derrien, T., Beringer, M., Gumireddy, K., Gardini, A., Bussotti, G., Lai, F., Zytnicki, M., Notredame, C., Huang, Q., et al. (2010) · Cell · doi:10.1016/j.cell.2010.09.001 · Cited by 1,721
ChIP-seq accurately predicts tissue-specific activity of enhancers
Visel, A., Blow, M. J., Li, Z., Zhang, T., Akiyama, J. A., Holt, A., Plajzer-Frick, I., Shoukry, M., Wright, C., Chen, F., et al. (2009) · Nature · doi:10.1038/nature07730 · Cited by 1,639
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Items 201–233 of 233
Prediction of enhancer-promoter interaction based on ResNeXt
Gong, K., Zhou, M., & Rui, A. (2022) · International Conference on Advanced Algorithms and Neural Networks (AANN) · doi:10.1117/12.2637167
Distant Activation of Transcription by Enhancers
Kulaeva, O. I., & Studitsky, V. M. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-821618-7.10051-3
EnhanciGraph: Visualizing Enhancer-Gene Interactions
Tella, S. M., & Benton, M. L. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-67871-4_9
Uvarova, A. N., Tkachenko, E. A., Stasevich, E. M., Zheremyan, E. A., Korneev, K. V., & Kuprash, D. V. (2024) · Biochemistry (Moscow) · doi:10.31857/s0320972524060023
James, M. E., & Ortíz-Barrientos, D. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-15750-9.00112-9
Genetic regulation within cellular stress response pathways
Dufflart, J. (2022) · doi:10.54014/pkv0-hdaz
A Web-Based Workflow for Selecting Gene- and Tissue-Specific Enhancers
Kwon, J., He, G. Z., Ramialison, M., & Nim, H. T. (2025) · Journal of Visualized Experiments · doi:10.3791/66840
Beekly, B. G., Zeidan, D., Chaves, W. F., Sta-Monica, J.-I., Saunders, T. L., de Miera, C. S., Burgess, C. R., & Elias, C. F. (2025) · Biology of Sex Differences · doi:10.1186/s13293-025-00742-3
p53motifDB: integration of genomic information and tumour suppressor p53 binding motifs
Baniulyte, G., Hicks, S. M., & Sammons, M. A. (2025) · Database · doi:10.1093/database/baaf053 · Cited by 1
Neves, C. J., Gomes, A. P., Lourenço, R. A., Grosso, A. R., & Videira, P. A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.09.681373
Additional file 5 of Co-localization of clusters of TCR-regulated genes with TAD rearrangements
Gao, G. F., Li, P., & Leonard, W. J. (2024) · Figshare · doi:10.6084/m9.figshare.26633652
Additional file 2 of Co-localization of clusters of TCR-regulated genes with TAD rearrangements
Gao, G. F., Li, P., & Leonard, W. J. (2024) · Figshare · doi:10.6084/m9.figshare.24454995
Additional file 4 of Co-localization of clusters of TCR-regulated genes with TAD rearrangements
Gao, G. F., Li, P., & Leonard, W. J. (2024) · Figshare · doi:10.6084/m9.figshare.26633649
Additional file 3 of Co-localization of clusters of TCR-regulated genes with TAD rearrangements
Gao, G. F., Li, P., & Leonard, W. J. (2024) · Figshare · doi:10.6084/m9.figshare.26633646
Additional file 6 of Co-localization of clusters of TCR-regulated genes with TAD rearrangements
Gao, G. F., Li, P., & Leonard, W. J. (2024) · Figshare · doi:10.6084/m9.figshare.26633655
Prowse-Wilkins, C., Lopdell, T., Xiang, R., Vander-Jagt, C. J., Littlejohn, M. D., Chamberlain, A. J., & Goddard, M. E. (2023) · Figshare · doi:10.6084/m9.figshare.22616741
Additional file 1 of Co-localization of clusters of TCR-regulated genes with TAD rearrangements
Gao, G. F., Li, P., & Leonard, W. J. (2023) · Figshare · doi:10.6084/m9.figshare.24454921
Prowse-Wilkins, C., Lopdell, T., Xiang, R., Vander-Jagt, C. J., Littlejohn, M. D., Chamberlain, A. J., & Goddard, M. E. (2023) · Figshare · doi:10.6084/m9.figshare.22616747
Prowse-Wilkins, C., Lopdell, T., Xiang, R., Vander-Jagt, C. J., Littlejohn, M. D., Chamberlain, A. J., & Goddard, M. E. (2023) · Figshare · doi:10.6084/m9.figshare.22616744
Involvement of TFIIH in NER factors mediated chromatin remodeling
Singh, A. (2014) · theses.fr (ABES) · doi:10.70675/9a7cf956z3bdaz44c5za560za206d78e4cea
The cohesin and mediator complexes control immunoglobulin class switch recombination
Thomas-Claudepierre, A.-S. (2014) · theses.fr (ABES) · doi:10.70675/260132cfze9b6z46ddzb034z6678b5125b15
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Madgwick, A. (2017) · theses.fr (ABES) · doi:10.70675/6da04ca8z76d8z4fd4z9f55zde97179c8e99
Mediator and NER factors in transcription initiation
Bidon, B. (2017) · theses.fr (ABES) · doi:10.70675/12739e56z4107z424czb63bz452d4c617054
Richard, G. (2017) · theses.fr (ABES) · doi:10.70675/13dc61a7zece8z4668z9e83zf10f868fbb73 · Cited by 1
Transcriptional regulation of the IgH locus during class switch recombination
Villa, R. A. (2019) · theses.fr (ABES) · doi:10.70675/225724a2z0ab6z4f8bzbb39zefb79aaf044e
Grasso, A. (2021) · theses.fr (ABES) · doi:10.70675/b515ba9bz64b1z4216z9453zcfa3418436dd
Multi-omics data integration and interactive visual data mining to explore mitochondrial dynamics
Marchianò, F. (2022) · theses.fr (ABES) · doi:10.70675/eb60a1f9zb03bz48d8z8b03zcb18fa2f49d8
Dissecting the role of long non-coding RNA in multiple myeloma
Zocchi, S. (2024) · theses.fr (ABES) · doi:10.70675/22f35f26z6442z47d6z8cdaz153527b5df6e
TM-Loop: Transformer multi-omics hierarchical detection of chromatin loop
Zhai, H., Yang, H., Hou, Z., Liu, X., & Wang, J. (2026) · Scientific Reports · doi:10.1038/s41598-026-56418-4
Wang, J., Zheng, B., Wu, L., Liu, X., Zhai, H., & Luo, J. (2026) · Frontiers in Genetics · doi:10.3389/fgene.2026.1850219
Jiang, X., Chi, S., Wang, X., Chen, M., Tie, Z., Yang, H., Wang, C., & Liu, G. (2026) · Animal Genetics · doi:10.1002/age.70173
Alternative stable states of lake ecosystems and critical salinities: is there a rigid connection?
Shadrin, N. (2013) · Proceedings of the Zoological Institute RAS · doi:10.31610/trudyzin/2013.supl.3.214
Li, H., Denny, N., & Davies, J. (2026) · Current topics in developmental biology/Current Topics in Developmental Biology · doi:10.1016/bs.ctdb.2026.06.007
Metadata
- Authors
- Krivega, I., & Dean, A.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Dean, Ann
- Venue
- Current Opinion in Genetics & Development
- Publisher
- Elsevier BV
- Published
- 2012-04
- Volume
- 22
- Issue
- 2
- Pages
- 79-85
- ISSN
- 0959-437X (ISSN-L)
- PMC
- PMC3342482
- OpenAlex
- W2116584178
- Cited by
- 225
- References
- 65
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 9 · 2023: 11 · 2022: 15 · 2021: 14 · 2020: 14 · 2019: 18 · 2018: 11 · 2017: 15 · 2016: 15 · 2015: 24 · 2014: 30 · 2013: 22 · 2012: 11
- FWCI
- 1.84
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Current Opinion in Genetics & Development (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases (ZIADK015508, ZIADK075033)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nuclear Structure and Function
- Keywords
- enhancer-promoter interactions, enhancer looping, chromatin insulators, enhancer blocking, long-range transcriptional regulation, nuclear organization
- MeSH terms
- Animals, Enhancer Elements, Genetic, Humans, Models, Genetic, Promoter Regions, Genetic, Transcriptional Activation, RNA, Untranslated
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