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Genome-Wide Quantitative Enhancer Activity Maps Identified by STARR-seq
Abstract
Genomic enhancers are important regulators of gene expression, but their identification is a challenge, and methods depend on indirect measures of activity. We developed a method termed STARR-seq to directly and quantitatively assess enhancer activity for millions of candidates from arbitrary sources of DNA, which enables screens across entire genomes. When applied to the Drosophila genome, STARR-seq identifies thousands of cell type-specific enhancers across a broad continuum of strengths, links differential gene expression to differences in enhancer activity, and creates a genome-wide quantitative enhancer map. This map reveals the highly complex regulation of transcription, with several independent enhancers for both developmental regulators and ubiquitously expressed genes. STARR-seq can be used to identify and quantify enhancer activity in other eukaryotes, including humans.
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“In contrast with MPRAs relying on re-synthesis of candidate sequences, genome-wide ‘shotgun MPRAs’108,174,183,188 nicely avoid a priori assumptions about which sequences to test.”
From Towards a comprehensive catalogue of validated and target-linked human enhancers (2020) · cites this paper as [174]
In the citing paper
“Finally, evidence from multiple sources including reporter assays [169, 175, 239, 240], CRISPR [240–242], chromatin mapping [243, 244] and population genetics analysis [207, 245] suggests that certain promoters, termed ‘epromoters’, can also function as enhancers (reviewed in [246]).”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [169]
Citations
Cites
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696
The Human Genome Browser at UCSC
Kent, W. J., Sugnet, C. W., Furey, T. S., Roskin, K. M., Pringle, T. H., Zahler, A. M., & Haussler, A. D. (2002) · Genome Research · doi:10.1101/gr.229102 · Cited by 10,400
Targeted gene expression as a means of altering cell fates and generating dominant phenotypes
Brand, A. H., & Perrimon, N. (1993) · Development · doi:10.1242/dev.118.2.401 · Cited by 9,510
Tandem repeats finder: a program to analyze DNA sequences
Benson, G. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.2.573 · Cited by 9,374
The Genome Sequence of Drosophila melanogaster
Adams, M. D., Celniker, S., Holt, R. A., Evans, C. A., Gocayne, J. D., Amanatides, P. G., Scherer, S. E., Li, P. W., Hoskins, R. A., Galle, R. F., et al. (2000) · Science · doi:10.1126/science.287.5461.2185 · Cited by 5,902
Histone H3K27ac separates active from poised enhancers and predicts developmental state
Creyghton, M. P., Cheng, A. W., Welstead, G. G., Kooistra, T., Carey, B. W., Steine, E. J., Hanna, J., Lodato, M. A., Frampton, G. M., Sharp, P. A., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016071107 · Cited by 4,302
miRBase: integrating microRNA annotation and deep-sequencing data
Kozomara, A., & Griffiths-Jones, S. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkq1027 · Cited by 3,634
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Sorted by citations
Items 401–500 of 1,000
Penner-Goeke, S., Bothe, M., Rek, N., Kreitmaier, P., Pöhlchen, D., Kühnel, A., Glaser, L. V., Kaya, E., Krontira, A. C., Röh, S., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2305773120 · Cited by 31
CBP binding outside of promoters and enhancers in Drosophila melanogaster
Philip, P., Boija, A., Vaid, R., Churcher, A. M., Meyers, D. J., Cole, P. A., Mannervik, M., & Stenberg, P. (2015) · Epigenetics & Chromatin · doi:10.1186/s13072-015-0042-4 · Cited by 26
Massively Parallel Reporter Assays for High-Throughput In Vivo Analysis of Cis-Regulatory Elements
Zheng, Y., & VanDusen, N. J. (2023) · Journal of Cardiovascular Development and Disease · doi:10.3390/jcdd10040144 · Cited by 25
Understanding the genetic liability to schizophrenia through the neuroepigenome
Fullard, J. F., Halene, T. B., Giambartolomei, C., Haroutunian, V. H., Akbarian, S., & Roussos, P. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.01.039 · Cited by 26
Insights into glucocorticoid responses derived from omics studies
Kan, M., & Himes, B. E. (2020) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2020.107674 · Cited by 25
Localization of RNAs in the nucleus: cis - and trans - regulation
Tong, C., & Yin, Y. (2021) · RNA Biology · doi:10.1080/15476286.2021.1894025 · Cited by 27
Inducible CRISPRa screen identifies putative enhancers
Dai, Z., Li, R., Hou, Y., Li, Q., Zhao, K., Li, T., Li, M. J., & Wu, X. (2021) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2021.06.012 · Cited by 25
Milito, A., Aschern, M., McQuillan, J. L., & Yang, J. (2023) · Journal of Experimental Botany · doi:10.1093/jxb/erad100 · Cited by 26
Cugusi, S., Kallappagoudar, S., Ling, H., & Lucchesi, J. C. (2015) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m114.040667 · Cited by 25
Renganaath, K., Chong, R., Day, L., Kosuri, S., Kruglyak, L., & Albert, F. W. (2020) · eLife · doi:10.7554/elife.62669 · Cited by 24
Divide and Rule: Phase Separation in Eukaryotic Genome Functioning
Razin, S. V., & Ulianov, S. V. (2020) · Cells · doi:10.3390/cells9112480 · Cited by 25
Decoding biology with massively parallel reporter assays and machine learningPreprint
Fleur, A. L., Shi, Y., & Seelig, G. (2024) · Genes & Development · doi:10.1101/gad.351800.124 · Cited by 29
Context transcription factors establish cooperative environments and mediate enhancer communication
Kribelbauer, J. F., Pushkarev, O., Gardeux, V., Faltejsková, K., Russeil, J., van Mierlo, G., & Deplancke, B. (2024) · Nature Genetics · doi:10.1038/s41588-024-01892-7 · Cited by 26
Recent advances in designing synthetic plant regulatory modules
Nayak, N., Mehrotra, S., Karamchandani, A. N., Santelia, D., & Mehrotra, R. C. (2025) · Frontiers in Plant Science · doi:10.3389/fpls.2025.1567659 · Cited by 24
Direct control of somatic stem cell proliferation factors by the Drosophila testis stem cell niche
Albert, E. A., Puretskaia, O. A., Terekhanova, N. V., Labudina, A. A., & Bökel, C. (2018) · Development · doi:10.1242/dev.156315 · Cited by 21
Establishment and function of chromatin modification at enhancers
Tafessu, A., & Banaszynski, L. A. (2020) · Open Biology · doi:10.1098/rsob.200255 · Cited by 24
Gene Regulatory Circuits in Innate and Adaptive Immune Cells
Saini, A., Ghoneim, H. E., Lio, C. J., Collins, P. L., & Oltz, E. M. (2022) · Annual Review of Immunology · doi:10.1146/annurev-immunol-101320-025949 · Cited by 24
Nanog Expression in Embryonic Stem Cells – An Ideal Model System to Dissect Enhancer Function
Blinka, S. M., & Rao, S. (2017) · BioEssays · doi:10.1002/bies.201700086 · Cited by 24
Kreimer, A., Yan, Z., Ahituv, N., & Yosef, N. (2019) · Human Mutation · doi:10.1002/humu.23820 · Cited by 25
Long, Y., Wendel, J. F., Zhang, X., & Wang, M. (2023) · Trends in Plant Science · doi:10.1016/j.tplants.2023.11.009 · Cited by 26
Functional genomic approaches to elucidate the role of enhancers during development
Ryan, G. E., & Farley, E. K. (2019) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1467 · Cited by 22
Qian, Y., & Huang, S. C. (2020) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2020.07.010 · Cited by 26
Deciphering Gene Regulation Using Massively Parallel Reporter Assays
Trauernicht, M., Martinez-Ara, M., & van Steensel, B. (2019) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2019.10.006 · Cited by 23
Enhancers display constrained sequence flexibility and context-specific modulation of motif functionPreprint
Reiter, F., de Almeida, B. P., & Stark, A. (2023) · Genome Research · doi:10.1101/gr.277246.122 · Cited by 25
Self-citationFunctional phenotyping of genomic variants using joint multiomic single-cell DNA–RNA sequencing
Lindenhofer, D., Bauman, J., Hawkins, J. A., Fitzgerald, D., Yildiz, U., Jung, H., Korosteleva, A., Marttinen, M., Kueblbeck, M., Zaugg, J. B., et al. (2025) · Nature Methods · doi:10.1038/s41592-025-02805-0 · Cited by 29
López-Rivera, F., Foster, O. K., Vincent, B. J., Pym, E. C. G., Bragdon, M. D. J., Estrada, J., DePace, A. H., & Wunderlich, Z. (2020) · G3 Genes Genomes Genetics · doi:10.1534/g3.120.401777 · Cited by 22
Neiro, J., Sridhar, D., Dattani, A., & Aboobaker, A. A. (2022) · eLife · doi:10.7554/elife.79675 · Cited by 22
Characterization of sequence determinants of enhancer function using natural genetic variation
Yang, M. G., Ling, E., Cowley, C. J., Greenberg, M. E., & Vierbuchen, T. (2022) · eLife · doi:10.7554/elife.76500 · Cited by 24
Epigenetics of neural differentiation: Spotlight on enhancers
Giacoman-Lozano, M., Meléndez-Ramírez, C., Martínez-Ledesma, E., Durán, R. C., & Velasco, I. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.1001701 · Cited by 23
Kneppers, J., Severson, T., Siefert, J. C., Schol, P. J., Joosten, S. E. P., Yu, I. P. L., Huang, C.-C. F., Morova, T., Altıntaş, U. B., Giambartolomei, C., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-35135-2 · Cited by 22
Chan, Y.-C., Kienle, E., Oti, M., Liddo, A. D., Méndez-Lago, M., Aschauer, D. F., Peter, M., Pagani, M., Arnold, C. D., Vonderheit, A., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-33448-w · Cited by 21
Self-citationGenome‐wide enhancer identification by massively parallel reporter assay in Arabidopsis
Tan, Y., Yan, X., Sun, J., Wan, J., Li, X., Huang, Y., Li, L., Niu, L., & Hou, C. (2023) · The Plant Journal · doi:10.1111/tpj.16373 · Cited by 22
Duque, T. S. P. C., & Sinha, S. (2015) · Genome Biology and Evolution · doi:10.1093/gbe/evv080 · Cited by 21
EnDisease: a manually curated database for enhancer-disease associations
Zeng, W., Xu, M., & Jiang, R. (2019) · Database · doi:10.1093/database/baz020 · Cited by 21
Functional impacts of non-coding RNA processing on enhancer activity and target gene expression
Ntini, E., & Marsico, A. (2019) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjz047 · Cited by 24
4See: A Flexible Browser to Explore 4C Data
Zouari, Y. B., Platania, A., Molitor, A., & Sexton, T. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2019.01372 · Cited by 16
Saha, P., Sowpati, D. T., Soujanya, M., Srivastava, I., & Mishra, R. K. (2020) · Epigenetics & Chromatin · doi:10.1186/s13072-020-00358-4 · Cited by 22
Enhancers associated with unstable RNAs are rare in plants
McDonald, B. R., Picard, C. L., Brabb, I. M., Savenkova, M. I., Schmitz, R. J., Jacobsen, S. E., & Duttke, S. H. C. (2024) · Nature Plants · doi:10.1038/s41477-024-01741-9 · Cited by 21
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Winter, S. D., Konstantakos, V., & Aerts, S. (2025) · Nature Reviews Bioengineering · doi:10.1038/s44222-025-00280-y · Cited by 21
Precise engineering of gene expression by editing plasticity
Qiu, Y., Liu, L., Yan, J., Xianglei, X., Wang, S., Luo, Y., Deng, K., Xu, J., Jin, M., Wu, X., et al. (2025) · Genome biology · doi:10.1186/s13059-025-03516-7 · Cited by 21
RAEdb: a database of enhancers identified by high-throughput reporter assays
Cai, Z., Cui, Y., Tan, Z., Zhang, G., Tan, Z., Zhang, X., & Peng, Y. (2018) · Database · doi:10.1093/database/bay140 · Cited by 21
Estrogen Receptor on the move: Cistromic plasticity and its implications in breast cancer.
Mayayo-Peralta, I., Preković, S., & Zwart, W. (2020) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2020.100939 · Cited by 16
Decoding the organization, dynamics, and function of the 4D genome
Aboelnour, E., & Bonev, B. (2021) · Developmental Cell · doi:10.1016/j.devcel.2021.04.023 · Cited by 24
Singh, P., Stevenson, S. R., Dickinson, P. J., Reyna‐Llorens, I., Tripathi, A., Reeves, G., Schreier, T. B., & Hibberd, J. M. (2023) · Science Advances · doi:10.1126/sciadv.ade9756 · Cited by 21
Capauto, D., Wang, Y., Wu, F., Norton, S., Mariani, J., Inoue, F., Crawford, G. E., Ahituv, N., Abyzov, A. S., & Vaccarino, F. M. (2024) · Scientific Reports · doi:10.1038/s41598-024-54302-7 · Cited by 22
Variation in Vertebrate Cis-Regulatory Elements in Evolution and Disease
Douglas, A., & Hill, R. D. (2014) · Transcription · doi:10.4161/trns.28848 · Cited by 21
The search for cis-regulatory driver mutations in cancer genomes
Poulos, R. C., Sloane, M. A., Hesson, L. B., & Wong, J. W. H. (2015) · Oncotarget · doi:10.18632/oncotarget.5085 · Cited by 21
Wei, Y., Gokhale, R. H., Sonnenschein, A., Montgomery, K. M., Ingersoll, A. J., & Arnosti, D. N. (2016) · Development · doi:10.1242/dev.138073 · Cited by 21
The genome-wide transcriptional regulatory landscape of ecdysone in the silkworm
Cheng, D., Cheng, T., Yang, X., Zhang, Q., Fu, J., Feng, T., Gong, J., & Xia, Q. (2018) · Epigenetics & Chromatin · doi:10.1186/s13072-018-0216-y · Cited by 22
Transcriptional enhancers: from prediction to functional assessment on a genome-wide scale
Tobias, I. C., Abatti, L. E., Moorthy, S. D., Mullany, S., Taylor, T., Khader, N., Filice, M., & Mitchell, J. A. (2020) · Genome · doi:10.1139/gen-2020-0104 · Cited by 25
Coons, L. A., Hewitt, S. C., Burkholder, A., McDonnell, D. P., & Korach, K. S. (2017) · Endocrinology · doi:10.1210/en.2017-00468 · Cited by 20
Doan, R. N., Shin, T., & Walsh, C. A. (2018) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-080317-062104 · Cited by 20
Shlyueva, D., Meireles-Filho, A. C. A., Pagani, M., & Stark, A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0161997 · Cited by 19
Self-citationMassively Parallel Reporter Assays in Cultured Mammalian Cells
Melnikov, A., Zhang, X., Rogov, P., Wang, L., & Mikkelsen, T. S. (2014) · Journal of Visualized Experiments · doi:10.3791/51719-v · Cited by 20
Agrawal, P., Heimbruch, K. E., & Rao, S. (2018) · Comprehensive physiology · doi:10.1002/cphy.c180028 · Cited by 27
A functional overlap between actively transcribed genes and chromatin boundary elementsPreprint
Harrold, C. L., Gosden, M. E., Hanssen, L. L. P., Stolper, R. J., Downes, D. J., Telenius, J. M., Biggs, D., Preece, C., Alghadban, S., Sharpe, J. A., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.07.01.182089 · Cited by 18
Correcting signal biases and detecting regulatory elements in STARR-seq dataPreprint
Kim, Y., Johnson, G. D., Seo, J., Barrera, A., Cowart, T., Majoros, W. H., Ochoa, A., Allen, A. S., & Reddy, T. E. (2021) · Genome Research · doi:10.1101/gr.269209.120 · Cited by 20
Blankvoort, S., Descamps, L. A. L., & Kentros, C. G. (2020) · Neuroscience Research · doi:10.1016/j.neures.2020.01.009 · Cited by 19
Genome‐wide prediction of activating regulatory elements in rice by combining STARR‐seq with FACS
Tian, W., Huang, X., & Ouyang, X. (2022) · Plant Biotechnology Journal · doi:10.1111/pbi.13907 · Cited by 15
Jacobs, J., Pagani, M., Wenzl, C., & Stark, A. (2023) · Science · doi:10.1126/science.adf6149 · Cited by 19
Self-citationDuan, Y.-Y., Chen, X., Zhu, R., Jia, Y., Huang, X., Zhang, M., Yang, N., Dong, S., Zeng, M., Feng, Z., et al. (2023) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2023.07.002 · Cited by 18
Li, Y., Tan, M., Akkari-Henić, A., Zhang, L. S., Kip, M., Sun, S., Sepers, J. J., Xu, N., Ariyürek, Y., Kloet, S. L., et al. (2024) · Nature Biomedical Engineering · doi:10.1038/s41551-024-01204-8 · Cited by 18
Loubière, V., de Almeida, B. P., Pagani, M., & Stark, A. (2024) · Nature Communications · doi:10.1038/s41467-024-52921-2 · Cited by 21
Self-citationZhang, Q., Cheng, T., Jin, S., Guo, Y., Wu, Y., Liu, D., Xu, X., Sun, Y., Li, Z., He, H., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-13186-6 · Cited by 19
DIVERSITY in binding, regulation, and evolution revealed from high-throughput ChIP
Mitra, S., Biswas, A., & Narlikar, L. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006090 · Cited by 19
Regulatory genome variants in human susceptibility to infection
Telenti, A., & di Iulio, J. (2019) · Human Genetics · doi:10.1007/s00439-019-02091-9 · Cited by 19
Höllbacher, B., Balázs, K., Heinig, M., & Uhlenhaut, N. H. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.05.018 · Cited by 20
Genome-wide quantification of the effects of DNA methylation on human gene regulationPreprint
Lea, A. J., Vockley, C. M., Johnston, R. A., Carpio, C. A. D., Barreiro, L. B., Reddy, T. E., & Tung, J. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/146829 · Cited by 19
Challenges and considerations for reproducibility of STARR-seq assaysPreprint
Das, M., Hossain, A., Banerjee, D., Praul, C. A., & Girirajan, S. (2023) · Genome Research · doi:10.1101/gr.277204.122 · Cited by 18
Gundogdu, P., Loucera, C., Álamo-Álvarez, I., Dopazo, J., & Nepomuceno, I. (2022) · BioData Mining · doi:10.1186/s13040-021-00285-4 · Cited by 22
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Sreenivasan, V. K. A., Balachandran, S., & Spielmann, M. (2022) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2022-108588 · Cited by 19
Ni, P., Moe, J., & Su, Z. (2022) · BMC Biology · doi:10.1186/s12915-022-01426-9 · Cited by 18
Ahmed, I., Yang, S., Ogden, S., Zhang, W., Li, Y., & Sharrocks, A. D. (2023) · eLife · doi:10.7554/elife.80840 · Cited by 18
Emerging insights into enhancer biology and function
Arnold, M., & Stengel, K. R. (2023) · Transcription · doi:10.1080/21541264.2023.2222032 · Cited by 19
Li, Z., Zhang, Y., Peng, B., Qin, S., Zhang, Q., Chen, Y., Chen, C., Bao, Y., Zhu, Y. S., Hong, Y., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae912 · Cited by 21
Dyer, J. O., Dutta, A., Gogol, M., Weake, V. M., Dialynas, G. K., Wu, X., Seidel, C. W., Zhang, Y., Florens, L. A., Washburn, M. P., et al. (2016) · Journal of Molecular Biology · doi:10.1016/j.jmb.2016.10.026 · Cited by 18
Plant Promoters: Characterization and Applications in Transgenic Technology
Mithra, S., Kulkarni, K., & Srinivasan, R. (2017) · Springer eBooks · doi:10.1007/978-981-10-2961-5_5 · Cited by 17
Anno genominis XX: 20 years of Arabidopsis genomics
Provart, N. J., Brady, S. M., Parry, G., Schmitz, R. J., Queitsch, C., Bonetta, D. T., Waese, J., Schneeberger, K., & Loraine, A. E. (2020) · The Plant Cell · doi:10.1093/plcell/koaa038 · Cited by 19
Enhancers in Plant Development, Adaptation and Evolution
Beernink, B. M., Vogel, J. P., & Li, L. (2024) · Plant and Cell Physiology · doi:10.1093/pcp/pcae121 · Cited by 16
The quantitative impact of 3′UTRs on gene expression
West, J. D., Smith, H. J., Vu, L. T., Fogarty, E. A., Matreyek, K. A., Fowler, D. M., & Grimson, A. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf568 · Cited by 18
Bhardwaj, V., Semplicio, G., Erdogdu, N. U., Manke, T., & Akhtar, A. (2019) · Nature Communications · doi:10.1038/s41467-019-11115-x · Cited by 17
White, S. M., Snyder, M. P., & Yi, C. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab1105 · Cited by 17
Bergeron, B. P., Diedrich, J. D., Zhang, Y., Barnett, K. R., Dong, Q., Ferguson, D. C. J., Autry, R. J., Yang, W., Hansen, B. S., Smith, C. J., et al. (2022) · Leukemia · doi:10.1038/s41375-022-01685-z · Cited by 19
Toward a comprehensive catalog of regulatory elements
Fan, K., Pfister, E. L., & Weng, Z. (2023) · Human Genetics · doi:10.1007/s00439-023-02519-3 · Cited by 19
Esplin, E. D., Hanson, C. R., Wu, S., Horning, A. M., Bararpour, N., Nevins, S. A., Jiang, L., Contrepois, K., Lee, H., Guha, T. K., et al. (2024) · Nature Cancer · doi:10.1038/s43018-024-00831-z · Cited by 20
Brown, A. R., Fox, G. A., Kaplow, I. M., Lawler, A. J., Phan, B. N., Gadey, L., Wirthlin, M. E., Ramamurthy, E., May, G. E., Chen, Z., et al. (2025) · Frontiers in Genetics · doi:10.3389/fgene.2025.1533900 · Cited by 18
Chopra, M., & Bohlander, S. K. (2014) · Cancer Genetics · doi:10.1016/j.cancergen.2014.10.005 · Cited by 18
Activation of Muscle Enhancers by MyoD and epigenetic modifiers
Blum, R. (2014) · Journal of Cellular Biochemistry · doi:10.1002/jcb.24854 · Cited by 17
Enhancer scanning to locate regulatory regions in genomic loci
Buckley, M. A., Gjyshi, A., Mendoza-Fandiño, G., Baskin, R., Carvalho, R. S., Carvalho, M. A., Woods, N. T., & Monteiro, Á. N. A. (2015) · Nature Protocols · doi:10.1038/nprot.2015.136 · Cited by 17
Zhou, J., & Troyanskaya, O. G. (2016) · Nature Communications · doi:10.1038/ncomms10528 · Cited by 17
Epigenomic landscape of enhancer elements during Hydra head organizer formation
Reddy, P. C., Gungi, A., Ubhe, S., & Galande, S. (2020) · Epigenetics & Chromatin · doi:10.1186/s13072-020-00364-6 · Cited by 15
Bertolino, E., Reinitz, J., & Manu (2016) · Developmental Biology · doi:10.1016/j.ydbio.2016.02.030 · Cited by 18
Cis-regulatory elements: systematic identification and horticultural applications
Li, T., Zeng, W., Zhu, F., & Lü, P. (2025) · aBIOTECH · doi:10.1007/s42994-025-00237-0 · Cited by 17
Mouri, K., Dewey, H. B., Castro, R., Berenzy, D., Kales, S., & Tewhey, R. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100234 · Cited by 18
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Metadata
- Authors
- Arnold, C. D., Gerlach, D., Stelzer, C., Boryń, Ł. M., Rath, M., & Stark, A.
- Affiliations
- Research Institute of Molecular Pathology (AT)
- Corresponding author
- Stark, Alexander
- Venue
- Science
- Published
- 2013-03
- Volume
- 339
- Issue
- 6123
- Pages
- 1074-1077
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2077874719
- Cited by
- 1,125
- References
- 48
- Citations by year
- 2026: 74 · 2025: 113 · 2024: 107 · 2023: 99 · 2022: 80 · 2021: 96 · 2020: 106 · 2019: 85 · 2018: 77 · 2017: 75 · 2016: 74 · 2015: 64 · 2014: 53 · 2013: 21
- FWCI
- 31.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- 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 › Gene Regulatory Network Analysis
- Keywords
- enhancer activity, STARR-seq, Drosophila, cell type-specific enhancers, transcriptional regulation, gene expression regulation, enhancer screen, developmental regulators
- MeSH terms
- Animals, Chromosome Mapping, Drosophila melanogaster, Enhancer Elements, Genetic, Female, Gene Expression Regulation, HeLa Cells, Humans, Ovary, Transcription, Genetic, Genome, Sequence Analysis, DNA, Gene Expression Regulation, Developmental
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