The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Widespread transcription at neuronal activity-regulated enhancers
Open accessAbstract
We used genome-wide sequencing methods to study stimulus-dependent enhancer function in mouse cortical neurons. We identified approximately 12,000 neuronal activity-regulated enhancers that are bound by the general transcriptional co-activator CBP in an activity-dependent manner. A function of CBP at enhancers may be to recruit RNA polymerase II (RNAPII), as we also observed activity-regulated RNAPII binding to thousands of enhancers. Notably, RNAPII at enhancers transcribes bi-directionally a novel class of enhancer RNAs (eRNAs) within enhancer domains defined by the presence of histone H3 monomethylated at lysine 4. The level of eRNA expression at neuronal enhancers positively correlates with the level of messenger RNA synthesis at nearby genes, suggesting that eRNA synthesis occurs specifically at enhancers that are actively engaged in promoting mRNA synthesis. These findings reveal that a widespread mechanism of enhancer activation involves RNAPII binding and eRNA synthesis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The majority of active enhancers are themselves transcribed, producing enhancer RNAs (eRNAs) in a bi-directional manner [73–77].”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [77]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Relatively recently, enhancers have been shown to be sites for the assembly of a complete Pol II preinitiation complex and bidirectional transcription of short-lived enhancer RNA (eRNA) [57,58,59].”
From Enhancer Function in the 3D Genome (2023) · cites this paper as [58]
Experimental — accuracy not yet measuredIn the citing paper
“Communication of neuronal depolarization proceeds by a variety of signaling cascades and regulates intranuclear events such as enhancer recruitment (Kim et al., 2010), transcription factor activation (Ebert and Greenberg, 2013) and alternative pre-mRNA splicing (Li et al., 2007).”
From Unifying Views of Autism Spectrum Disorders: A Consideration of Autoregulatory Feedback Loops (2016) · cites this paper as Kim et al., 2010
In the citing paper
“Of note, therefore, is a recent study that identified thousands of neuronal activity-regulated enhancers of transcription that could potentially be sites of human variation that lead to ASD36.”
From Activity-dependent neuronal signalling and autism spectrum disorder (2013) · cites this paper as [36]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
DAVID: Database for Annotation, Visualization, and Integrated Discovery
Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A. (2003) · Genome Biology · doi:10.1186/gb-2003-4-5-p3 · Cited by 9,327
High-Resolution Profiling of Histone Methylations in the Human Genome
Barski, A., Cuddapah, S., Cui, K., Roh, T.-Y., Schones, D. E., Wang, Z., Wei, G., Chepelev, I., & Zhao, K. (2007) · Cell · doi:10.1016/j.cell.2007.05.009 · Cited by 6,845
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 4×
“To generate a set of random peaks matching the CBP peaks we did the following for each intragenic peak: (1) calculate the distance d to the TSS of the overlapping gene; (2) select a gene g at random; (3) place the new random region d base pairs downstream of the TSS of gene g; (4) if d is larger than the length of g t…”
InfluentialHistone modifications at human enhancers reflect global cell-type-specific gene expression
Heintzman, N. D., Hon, G. C., Hawkins, R. D., Kheradpour, P., Stark, A., Harp, L. F., Ye, Z., Lee, L. K., Stuart, R. K., Ching, C. W., et al. (2009) · Nature · doi:10.1038/nature07829 · Cited by 2,533
ChIP–seq: advantages and challenges of a maturing technology
Park, P. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2641 · Cited by 2,217
Expression of a β-globin gene is enhanced by remote SV40 DNA sequences
Banerji, J., Rusconi, S., & Schaffner, W. (1981) · Cell · doi:10.1016/0092-8674(81)90413-x · Cited by 1,724
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
A high-resolution map of active promoters in the human genome
Kim, T. H., Barrera, L. O., Zheng, M., Qu, C., Singer, M. A., Richmond, T., Wu, Y., Green, R. D., & Ren, B. (2005) · Nature · doi:10.1038/nature03877 · Cited by 954
Self-citation
Flagged first, then by citations
Research works printed but not linked: 3
- Kawashima, T. et al. Synaptic activity-responsive element in the Arc/Arg3.1 promoter essential for synapse-to-nucleus signaling in activated neurons. Proc. Natl Acad. Sci. USA 106, 316–321 (2009) · DOI
- Robertson, A. G. et al. Genome-wide relationship between histone H3 lysine 4 mono- and tri-methylation and transcription factor binding. Genome Res. 18, 1906–1917 (2008) · DOI · Paper page
- Lin, Y. et al. Activity-dependent regulation of inhibitory synapse development by Npas4. Nature 455, 1198–1204 (2008) · DOI · Paper page
Cited by
Sorted by citations
Items 201–300 of 1,007
Transcriptional landscape and clinical utility of enhancer RNAs for eRNA-targeted therapy in cancer
Zhang, Z., Lee, J., Ruan, H., Ye, Y., Krakowiak, J., Hu, Q., Xiang, Y., Gong, J., Zhou, B., Wang, L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12543-5 · Cited by 264
Circadian Enhancers Coordinate Multiple Phases of Rhythmic Gene Transcription In Vivo
Fang, B., Everett, L. J., Jager, J., Briggs, E. R., Armour, S. M., Feng, D., Roy, A., Gerhart‐Hines, Z., Sun, Z., & Lazar, M. A. (2014) · Cell · doi:10.1016/j.cell.2014.10.022 · Cited by 269
Non-Coding RNAs: Multi-Tasking Molecules in the Cell
Gomes, A. Q., Nolasco, S., & Soares, H. (2013) · International Journal of Molecular Sciences · doi:10.3390/ijms140816010 · Cited by 268
CTCF/cohesin-mediated DNA looping is required for protocadherin α promoter choice
Guo, Y., Monahan, K., Wu, H., Gertz, J., Varley, K. E., Li, W., Myers, R. M., Maniatis, T., & Wu, Q. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219280110 · Cited by 258
Long non-coding RNAs: modulators of nuclear structure and function
Bergmann, J. H., & Spector, D. L. (2013) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2013.08.005 · Cited by 264
Global view of enhancer–promoter interactome in human cells
He, B., Chen, C., Teng, L., & Tan, K. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320308111 · Cited by 263
Non-coding RNA: a new frontier in regulatory biology
Fu, X. (2014) · National Science Review · doi:10.1093/nsr/nwu008 · Cited by 265
Long non-coding RNAs (lncRNAs) and their transcriptional control of inflammatory responses
Mathy, N. W., & Chen, X. (2017) · Journal of Biological Chemistry · doi:10.1074/jbc.r116.760884 · Cited by 258
Defining the Status of RNA Polymerase at Promoters
Core, L. J., Waterfall, J. J., Gilchrist, D. A., Fargo, D. C., Kwak, H., Adelman, K., & Lis, J. T. (2012) · Cell Reports · doi:10.1016/j.celrep.2012.08.034 · Cited by 252
Esvald, E., Tuvikene, J., Sirp, A., Patil, S. S., Bramham, C. R., & Timmusk, T. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0367-19.2019 · Cited by 263
Hu, J., Adar, S., Selby, C. P., Lieb, J. D., & Sancar, A. (2015) · Genes & Development · doi:10.1101/gad.261271.115 · Cited by 254
Diversity and Emerging Roles of Enhancer RNA in Regulation of Gene Expression and Cell Fate
Arnold, P. R., Wells, A. D., & Li, X. C. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2019.00377 · Cited by 259
Simola, D. F., Wissler, L., Donahue, G., Waterhouse, R. M., Helmkampf, M., Roux, J., Nygaard, S., Glastad, K. M., Hagen, D. E., Viljakainen, L., et al. (2013) · Genome Research · doi:10.1101/gr.155408.113 · Cited by 255
Regulation of Primary Response Genes
Fowler, T., Sen, R., & Roy, A. L. (2011) · Molecular Cell · doi:10.1016/j.molcel.2011.09.014 · Cited by 262
Enhancer Function: Mechanistic and Genome-Wide Insights Come Together
Plank, J. L., & Dean, A. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.06.015 · Cited by 263
Long non-coding RNAs: versatile master regulators of gene expression and crucial players in cancer.
Nie, L., Wu, H., Hsu, J.-M., Chang, S.-S., LaBaff, A. M., Li, C. W., Wang, Y., Hsu, J. L., & Hung, M. (2012) · Europe PMC (PubMed Central) · Cited by 245
Discriminative prediction of mammalian enhancers from DNA sequencePreprint
Lee, D., Karchin, R., & Beer, M. (2011) · Genome Research · doi:10.1101/gr.121905.111 · Cited by 252
Non-coding RNAs with essential roles in neurodegenerative disorders
Salta, E., & Strooper, B. D. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70286-1 · Cited by 251
Long Noncoding RNAs Usher In a New Era in the Biology of Enhancers
Ørom, U. A., & Shiekhattar, R. (2013) · Cell · doi:10.1016/j.cell.2013.08.028 · Cited by 254
Enhancer variants: evaluating functions in common disease
Corradin, O., & Scacheri, P. C. (2014) · Genome Medicine · doi:10.1186/s13073-014-0085-3 · Cited by 241
Miyagawa, R., Tano, K., Mizuno, R., Nakamura, Y., Ijiri, K., Rakwal, R., Shibato, J., Masuo, Y., Mayeda, A., Hirose, T., et al. (2012) · RNA · doi:10.1261/rna.028639.111 · Cited by 237
JNK3 Perpetuates Metabolic Stress Induced by Aβ Peptides
Yoon, S. O., Park, D. J., Ryu, J. C., Özer, H. G., Tep, C., Shin, Y. J., Lim, T. H., Pastorino, L., Kunwar, A. J., Walton, J. C., et al. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.024 · Cited by 243
Neuronal activity modifies the chromatin accessibility landscape in the adult brain
Su, Y., Shin, J., Zhong, C., Wang, S. Z., Roychowdhury, P., Lim, J., Kim, D. S., Ming, G., & Song, H. (2017) · Nature Neuroscience · doi:10.1038/nn.4494 · Cited by 241
Oncogenic Role of THOR, a Conserved Cancer/Testis Long Non-coding RNA
Hosono, Y., Niknafs, Y. S., Prensner, J. R., Iyer, M. K., Dhanasekaran, S. M., Mehra, R., Pitchiaya, S., Tien, J. C.-Y., Escara-Wilke, J. F., Poliakov, A., et al. (2017) · Cell · doi:10.1016/j.cell.2017.11.040 · Cited by 238
MicroRNA-driven developmental remodeling in the brain distinguishes humans from other primates
Somel, M., Liu, X., Tang, L., Yan, Z., Hu, H., Guo, S., Jiang, X., Zhang, X., Xu, G., Xie, G., et al. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1001214 · Cited by 232
Long Noncoding RNAs in Cardiac Development and Pathophysiology
Schönrock, N., Harvey, R. P., & Mattick, J. S. (2012) · Circulation Research · doi:10.1161/circresaha.112.268953 · Cited by 234
Bacterial infection remodels the DNA methylation landscape of human dendritic cellsPreprint
Pacis, A., Tailleux, L., Morin, A. M., Lambourne, J. J., MacIsaac, J. L., Yotova, V., Dumaine, A., Danckaert, A., Luca, F., Grenier, J., et al. (2015) · Genome Research · doi:10.1101/gr.192005.115 · Cited by 241
Chromatin-associated RNAs as facilitators of functional genomic interactions
Li, X., & Fu, X. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0135-1 · Cited by 236
Narita, T., Ito, S., Higashijima, Y., Chu, W. K., Neumann, K., Walter, J., Satpathy, S., Liebner, T., Hamilton, W. B., Maskey, E., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.03.008 · Cited by 228
Co-activation of super-enhancer-driven CCAT1 by TP63 and SOX2 promotes squamous cancer progression
Jiang, Y. Y., Jiang, Y.-Y., Xie, J., Mayakonda, A., Hazawa, M., Chen, L., Xiao, J.-F., Li, C., Huang, M., Ding, L., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-06081-9 · Cited by 227
Enhancer and promoter interactions—long distance calls
Krivega, I., & Dean, A. (2012) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2011.11.001 · Cited by 225
Transsynaptic Signaling by Activity-Dependent Cleavage of Neuroligin-1
Peixoto, R. T., Kunz, P. A., Kwon, H., Mabb, A. M., Sabatini, B. L., Philpot, B. D., & Ehlers, M. (2012) · Neuron · doi:10.1016/j.neuron.2012.07.006 · Cited by 233
U1 snRNP regulates chromatin retention of noncoding RNAs
Yin, Y., Lu, J., Zhang, X., Shao, W., Xu, Y., Li, P., Hong, Y., Cui, L., Shan, G., Tian, B., et al. (2020) · Nature · doi:10.1038/s41586-020-2105-3 · Cited by 229
Bogdanović, O., Fernández‐Miñán, A., Tena, J. J., de la Calle‐Mustienes, E., Hidalgo, C. H., van Kruysbergen, I., van Heeringen, S. J., Veenstra, G. J. C., & Gómez-Skármeta, J. L. (2012) · Genome Research · doi:10.1101/gr.134833.111 · Cited by 231
Evolutionary dynamics of coding and non-coding transcriptomes
Necşulea, A., & Kaessmann, H. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3802 · Cited by 234
RFECS: A Random-Forest Based Algorithm for Enhancer Identification from Chromatin State
Rajagopal, N., Xie, W., Li, Y., Wagner, U., Wang, W., Stamatoyannopoulos, J. A., Ernst, J., Kellis, M., & Ren, B. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002968 · Cited by 226
RNA-binding proteins in neurodegeneration: mechanisms in aggregatePreprint
Conlon, E. G., & Manley, J. L. (2017) · Genes & Development · doi:10.1101/gad.304055.117 · Cited by 229
Intragenic DNA methylation in transcriptional regulation, normal differentiation and cancer
Kulis, M., Queirós, A. C., Beekman, R., & Martín-Subero, J. I. (2013) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2013.08.001 · Cited by 230
CCAT1 is an enhancer-templated RNA that predicts BET sensitivity in colorectal cancer
McCleland, M. L., Mesh, K., Lorenzana, E. G., Chopra, V. S., Segal, E., Watanabe, C. K., Haley, B., Mayba, O., Yaylaoglu, M., Gnad, F., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci83265 · Cited by 224
Long noncoding RNAs: Re-writing dogmas of RNA processing and stability
Wilusz, J. E. (2015) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2015.06.003 · Cited by 227
Functional consequences of bidirectional promoters
Wei, W., Pelechano, V., Järvelin, A. I., & Steinmetz, L. M. (2011) · Trends in Genetics · doi:10.1016/j.tig.2011.04.002 · Cited by 227
Diet-Induced Circadian Enhancer Remodeling Synchronizes Opposing Hepatic Lipid Metabolic Processes
Guan, D., Xiong, Y., Borck, P. C., Jang, C., Doulias, P., Papazyan, R., Fang, B., Jiang, C., Zhang, Y., Briggs, E. R., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.031 · Cited by 225
Scruggs, B. S., Gilchrist, D. A., Nechaev, S., Muse, G. W., Burkholder, A., Fargo, D. C., & Adelman, K. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.04.006 · Cited by 232
Evaluating Enhancer Function and Transcription
Field, A. R., & Adelman, K. (2020) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-011420-095916 · Cited by 227
Identification of active transcriptional regulatory elements from GRO-seq data
Danko, C. G., Hyland, S. L., Core, L. J., Martins, A. L., Waters, C. T., Lee, H. W., Cheung, V. G., Kraus, W. L., Lis, J. T., & Siepel, A. C. (2015) · Nature Methods · doi:10.1038/nmeth.3329 · Cited by 220
Oldfield, A., Yang, P., Conway, A. E., Cinghu, S., Freudenberg, J., Yellaboina, S., & Jothi, R. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.07.005 · Cited by 221
Li, Z., Zhang, J., Liu, X., Li, S., Wang, Q., Chen, D., Hu, Z., Yu, T., Ding, J., Li, J., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04006-0 · Cited by 217
RetractedDNA methylation regulates associative reward learning
Day, J. J., Childs, D. S., Karlsson, M. G., Kibe, M., Moulden, J., Song, E. Y., Tahir, A., & Sweatt, J. D. (2013) · Nature Neuroscience · doi:10.1038/nn.3504 · Cited by 217
Long non‐coding RNA modifies chromatin
Saxena, A., & Carninci, P. (2011) · BioEssays · doi:10.1002/bies.201100084 · Cited by 222
A unified architecture of transcriptional regulatory elements
Andersson, R., Sandelin, A., & Danko, C. G. (2015) · Trends in Genetics · doi:10.1016/j.tig.2015.05.007 · Cited by 225
Long noncoding RNAs in C. elegansPreprint
Nam, J., & Bartel, D. P. (2012) · Genome Research · doi:10.1101/gr.140475.112 · Cited by 217
Qi, X., Xie, S., Liu, Y., Yi, F., & Yu, J. (2013) · Plant Molecular Biology · doi:10.1007/s11103-013-0104-6 · Cited by 209
Chromatin Contributions to the Regulation of Innate Immunity
Smale, S. T., Tarakhovsky, A., & Natoli, G. (2014) · Annual Review of Immunology · doi:10.1146/annurev-immunol-031210-101303 · Cited by 213
LINC02273 drives breast cancer metastasis by epigenetically increasing AGR2 transcription
Xiu, B., Chi, Y., Liu, L., Chi, W., Zhang, Q., Chen, J., Guo, R., Si, J., Li, L., Xue, J., et al. (2019) · Molecular Cancer · doi:10.1186/s12943-019-1115-y · Cited by 212
Self-citationBarozzi, I., Simonatto, M., Bonifacio, S., Yang, L., Rohs, R., Ghisletti, S., & Natoli, G. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.04.006 · Cited by 209
The long non‐coding RNA Paupar regulates the expression of both local and distal genes
Vance, K. W., Sansom, S. N., Lee, S., Chalei, V., Kong, L., Cooper, S., Oliver, P. L., & Ponting, C. P. (2014) · The EMBO Journal · doi:10.1002/embj.201386225 · Cited by 213
Widespread Inducible Transcription Downstream of Human Genes
Vilborg, A., Passarelli, M. C., Yario, T. A., Tycowski, K. T., & Steitz, J. A. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.06.016 · Cited by 206
Catarino, R. R., & Stark, A. (2018) · Genes & Development · doi:10.1101/gad.310367.117 · Cited by 215
The role of long non-coding RNAs in neurodevelopment, brain function and neurological disease
Roberts, T. C., Morris, K. V., & Wood, M. J. A. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0507 · Cited by 213
Yang, Y. W., Flynn, R. A., Chen, Y., Qu, K., Wan, B., Wang, K., Lei, M., & Chang, H. Y. (2014) · eLife · doi:10.7554/elife.02046 · Cited by 201
Lubas, M., Andersen, P. R., Schein, A., Dziembowski, A., Kudla, G., & Jensen, T. H. (2015) · Cell Reports · doi:10.1016/j.celrep.2014.12.026 · Cited by 213
Enhancer RNAs: A Class of Long Noncoding RNAs Synthesized at Enhancers: Figure 1.Preprint
Kim, T.-K., Hemberg, M., & Gray, J. M. (2015) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a018622 · Cited by 218
Self-citationTranscription elongation factors represent in vivo cancer dependencies in glioblastoma
Miller, T. E., Liau, B. B., Wallace, L. C., Morton, A. R., Xie, Q., Dixit, D., Factor, D. C., Kim, L. J. Y., Morrow, J. J., Wu, Q., et al. (2017) · Nature · doi:10.1038/nature23000 · Cited by 200
Maintaining Cell Identity through Global Control of Genomic Organization
Natoli, G. (2010) · Immunity · doi:10.1016/j.immuni.2010.07.006 · Cited by 208
Mechanisms of specificity in neuronal activity-regulated gene transcription
Lyons, M. R., & West, A. E. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2011.05.003 · Cited by 209
Npas4: Linking Neuronal Activity to Memory
Sun, X., & Lin, Y. (2016) · Trends in Neurosciences · doi:10.1016/j.tins.2016.02.003 · Cited by 208
Eusocial insects as emerging models for behavioural epigenetics
Yan, H., Simola, D. F., Bonasio, R., Liebig, J., Berger, S. L., & Reinberg, D. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3787 · Cited by 203
Ion Channels in Development and Cancer
Bates, E. A. (2015) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100814-125338 · Cited by 198
Histone H3 lysine K4 methylation and its role in learning and memory
Collins, B. E., Greer, C. B., Coleman, B. C., & Sweatt, J. D. (2019) · Epigenetics & Chromatin · doi:10.1186/s13072-018-0251-8 · Cited by 209
Long non-coding RNAs function annotation: a global prediction method based on bi-colored networks
Guo, X., Gao, L., Liao, Q., Xiao, H., Ma, X., Yang, X., Luo, H., Zhao, G., Bu, D., Jiao, F., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks967 · Cited by 195
Correlations in ion channel expression emerge from homeostatic tuning rules
O'Leary, T., Williams, A. H., Caplan, J. S., & Marder, E. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1309966110 · Cited by 192
Dynamic GATA4 enhancers shape the chromatin landscape central to heart development and disease
He, A., Gu, F., Hu, Y., Ma, Q., Ye, L. Y., Akiyama, J. A., Visel, A., Pennacchio, L. A., & Pu, W. T. (2014) · Nature Communications · doi:10.1038/ncomms5907 · Cited by 197
Long Non-Coding RNAs and Complex Human Diseases
Li, J., Xuan, Z., & Liu, C. (2013) · International Journal of Molecular Sciences · doi:10.3390/ijms140918790 · Cited by 191
Inflammation-sensitive super enhancers form domains of coordinately regulated enhancer RNAs
Hah, N., Benner, C. W., Chong, L.-W., Yu, R. T., Downes, M., & Evans, R. M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1424028112 · Cited by 197
A robust activity marking system for exploring active neuronal ensembles
Sørensen, A. T., Cooper, Y. A., Baratta, M. V., Weng, F., Zhang, Y., Ramamoorthi, K., Fropf, R., LaVerriere, E., Xue, J., Young, A., et al. (2016) · eLife · doi:10.7554/elife.13918 · Cited by 199
Self-citationEvolutionary conservation of the eumetazoan gene regulatory landscapePreprint
Schwaiger, M., Schönauer, A., Rendeiro, A. F., Pribitzer, C., Schauer, A., Gilles, A. F., Schinko, J. B., Renfer, E., Fredman, D., & Technau, U. (2014) · Genome Research · doi:10.1101/gr.162529.113 · Cited by 191
Long non‐coding RNA regulation of reproduction and development
Taylor, D. H., Chu, E. T., Spektor, R., & Soloway, P. D. (2015) · Molecular Reproduction and Development · doi:10.1002/mrd.22581 · Cited by 191
Dynamic epigenetic regulation in neurons: enzymes, stimuli and signaling pathways
Riccio, A. (2010) · Nature Neuroscience · doi:10.1038/nn.2671 · Cited by 188
Global discovery of erythroid long noncoding RNAs reveals novel regulators of red cell maturation
Alvarez‐Dominguez, J. R., Hu, W., Yuan, B., Shi, J., Park, S. S., Gromatzky, A. A., van Oudenaarden, A., & Lodish, H. F. (2013) · Blood · doi:10.1182/blood-2013-10-530683 · Cited by 189
Suppression of Enhancer Overactivation by a RACK7-Histone Demethylase Complex
Shen, H., Xu, W., Guo, R., Rong, B., Gu, L., Wang, Z., He, C., Zheng, L., Hu, X., Hu, Z., et al. (2016) · Cell · doi:10.1016/j.cell.2016.02.064 · Cited by 184
Regulation of circadian clock transcriptional output by CLOCK:BMAL1
Trott, A. J., & Menet, J. S. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007156 · Cited by 188
Long non-coding RNA Linc-RAM enhances myogenic differentiation by interacting with MyoD
Yu, X., Zhang, Y., Li, T., Ma, Z., Jia, H., Chen, Q., Zhao, Y., Zhai, L., Zhong, R., Li, C., et al. (2017) · Nature Communications · doi:10.1038/ncomms14016 · Cited by 187
Noncoding RNAs in neurodegeneration
Salta, E., & De Strooper, B. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.90 · Cited by 183
Nagarajan, S., Hossan, T., Alawi, M., Najafova, Z., Indenbirken, D., Bedi, U., Taipaleenmäki, H., Batalla, I. B., Scheller, M., Loges, S., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.06.016 · Cited by 189
Jiang, Y., Jiang, Y., Li, C.-Q., Zhang, Y., Dakle, P., Hp, K., Deng, J.-W., Lin, R. Y., Yan, Y., Xie, J.-J., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.06.050 · Cited by 186
From Molecular Mechanisms to Therapeutics: Understanding MicroRNA-21 in Cancer
Rhim, J., Baek, W., Seo, Y., & Kim, J. H. (2022) · Cells · doi:10.3390/cells11182791 · Cited by 192
Weishi, Z., Prakash, C., Sum, C., Gong, Y., Li, Y., Kwok, J. J. T., Thiessen, N., Pettersson, S., Jones, S. J. M., Knapp, S., et al. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.413047 · Cited by 185
Genome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize
Oka, R., Zicola, J., Weber, B., Anderson, S. N., Hodgman, C. T., Gent, J. I., Wesselink, J., Springer, N. M., Hoefsloot, H. C. J., Turck, F., et al. (2017) · Genome biology · doi:10.1186/s13059-017-1273-4 · Cited by 183
Distinct Transcriptional Programs Underlie Sox9 Regulation of the Mammalian Chondrocyte
Ohba, S., He, X., Hojo, H., & McMahon, A. P. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.06.013 · Cited by 179
A Muscle-Specific Enhancer RNA Mediates Cohesin Recruitment and Regulates Transcription In trans
Tsai, P.-F., Dell’Orso, S., Rodriguez, J., Vivanco, K. O., Ko, K.-D., Jiang, K., Juan, A. H., Sarshad, A. A., Vian, L., Tran, M. D., et al. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.06.008 · Cited by 190
Yang, Y. J., Baltus, A. E., Mathew, R. S., Murphy, E. A., Evrony, G. D., Gonzalez, D. M., Wang, E. P., Marshall-Walker, C. A., Barry, B. J., Murn, J., et al. (2012) · Cell · doi:10.1016/j.cell.2012.10.043 · Cited by 176
Magistri, M., Velmeshev, D., Makhmutova, M., & Faghihi, M. A. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-150398 · Cited by 175
The lncRNA MIR31HG regulates p16INK4A expression to modulate senescence
Montes, M., Nielsen, M. M., Maglieri, G., Skanderup, A. J., Højfeldt, J. W., Singh, S. A., Hansen, K. H., Helin, K., van de Werken, H. J. G., Pedersen, J. S., et al. (2015) · Nature Communications · doi:10.1038/ncomms7967 · Cited by 176
Role of Tet1 and 5-hydroxymethylcytosine in cocaine action
Feng, J., Shao, N., Szulwach, K. E., Vialou, V., Huynh, J. L., Zhong, C., Le, T. T., Ferguson, D., Cahill, M. E., Li, Y., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.3976 · Cited by 181
Nadel, J., Athanasiadou, R., Lemetre, C., Wijetunga, N. A., Broin, P. Ó., Sato, H., Zhang, Z., Jeddeloh, J. A., Montagna, C., Golden, A., et al. (2015) · Epigenetics & Chromatin · doi:10.1186/s13072-015-0040-6 · Cited by 184
Genome-wide identification of enhancers in skeletal muscle: the role of MyoD1Preprint
Blum, R., Vethantham, V., Bowman, C., Rudnicki, M. A., & Dynlacht, B. D. (2012) · Genes & Development · doi:10.1101/gad.200113.112 · Cited by 174
Enhancers and silencers: an integrated and simple model for their function
Kolovos, P., Knoch, T., Grosveld, F. G., Cook, P. R., & Papantonis, A. (2012) · Epigenetics & Chromatin · doi:10.1186/1756-8935-5-1 · Cited by 196
Zhu, B., Zhang, W., Zhang, T., Liu, B., & Jiang, J. (2015) · The Plant Cell · doi:10.1105/tpc.15.00537 · Cited by 173
Identification and dynamic quantification of regulatory elements using total RNAPreprint
Duttke, S. H. C., Chang, M. W., Heinz, S., & Benner, C. W. (2019) · Genome Research · doi:10.1101/gr.253492.119 · Cited by 180
Divergent Transcription: A Driving Force for New Gene Origination?
Wu, X., & Sharp, P. A. (2013) · Cell · doi:10.1016/j.cell.2013.10.048 · Cited by 180
Metadata
- Authors
- 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., Markenscoff-Papadimitriou, E., Kuhl, D., Bito, H., Worley, P. F., Kreiman, G., & Greenberg, M. E.
- Affiliations
- Harvard University (US)
- Boston Children's Hospital (US)
- Johns Hopkins University (US)
- Epicentre (FR)
- Universität Hamburg (DE)
- The University of Tokyo (JP)
- Corresponding author
- Greenberg, Michael E.
- ORCID
- Venue
- Nature
- Published
- 2010-04-14
- Volume
- 465
- Issue
- 7295
- Pages
- 182-187
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3020079
- OpenAlex
- W2014787267
- Cited by
- 2,450
- References
- 38
- Citations by year
- 2026: 70 · 2025: 126 · 2024: 138 · 2023: 121 · 2022: 152 · 2021: 180 · 2020: 169 · 2019: 151 · 2018: 158 · 2017: 167 · 2016: 155 · 2015: 204 · 2014: 175 · 2013: 187 · 2012: 140
- FWCI
- 62.71
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Open Access System for Information Sharing (Pohang University of Science and Technology) (submittedVersion)
- Funders
- National Institutes of Health (1dp2od006461-01)
- National Institute of Mental Health (R01MH053608, MH-053608)
- National Eye Institute (R21EY019710)
- National Institute of Neurological Disorders and Stroke (NS028829, R01NS028829, R37NS028829)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P30HD018655)
- 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 › Molecular Biology › RNA Research and Splicing
- Keywords
- enhancer RNA, CBP, RNA polymerase II, enhancer activation, H3K4 monomethylation, cortical neurons, electrical activity, gene expression regulation, mouse brain
- MeSH terms
- Animals, Cytoskeletal Proteins, Enhancer Elements, Genetic, Gene Expression Regulation, Histones, Methylation, Mice, Inbred C57BL, Nerve Tissue Proteins, Neurons, RNA Polymerase II, Transcription, Genetic, Consensus Sequence, Genes, fos, Genes, Reporter, RNA, Untranslated, CREB-Binding Protein, Mice, Basic Helix-Loop-Helix Proteins, Basic Helix-Loop-Helix Transcription Factors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review