Analysis of nascent RNA identifies a unified architecture of initiation regions at mammalian promoters and enhancers
Open accessAbstract
Despite the conventional distinction between them, promoters and enhancers share many features in mammals, including divergent transcription and similar modes of transcription factor binding. Here we examine the architecture of transcription initiation through comprehensive mapping of transcription start sites (TSSs) in human lymphoblastoid B cell (GM12878) and chronic myelogenous leukemic (K562) ENCODE Tier 1 cell lines. Using a nuclear run-on protocol called GRO-cap, which captures TSSs for both stable and unstable transcripts, we conduct detailed comparisons of thousands of promoters and enhancers in human cells. These analyses identify a common architecture of initiation, including tightly spaced (110 bp apart) divergent initiation, similar frequencies of core promoter sequence elements, highly positioned flanking nucleosomes and two modes of transcription factor binding. Post-initiation transcript stability provides a more fundamental distinction between promoters and enhancers than patterns of histone modification and association of transcription factors or co-activators. These results support a unified model of transcription initiation at promoters and enhancers.
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The majority of active enhancers are themselves transcribed, producing enhancer RNAs in a bi-directional manner.
“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 [73]
The Abstract says enhancer transcription is widespread and that eRNAs are produced bidirectionally. The Discussion also reports bidirectional initiation at thousands of enhancers. Neither passage establishes that a majority of active enhancers are transcribed; the nearly 80% figure in the Abstract concerns promoters, not enhancers. (LLM, conf=0.85)
Experimental — accuracy not yet measuredBoth active enhancers and promoters occupy nucleosome-free chromatin, bind RNAP and can be divergently transcribed.
“Both active enhancers and promoters occupy nucleosome-free chromatin, bind RNAP and can be divergently transcribed [73, 236, 237].”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [73]
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Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889 · see citing works
Landscape of transcription in human cells
Djebali, S., Davis, C. A., Merkel, A., Dobin, A., Lassmann, T., Mortazavi, A., Tanzer, A., Lagarde, J., Lin, W., Schlesinger, F., et al. (2012) · Nature · doi:10.1038/nature11233 · Cited by 5,187 · see citing works
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 14× · see citing works
“However, the DNA binding domain of Cfp1 is dispensable for targeting H3K4me3 to active genes, suggesting the relationship between CpG content and H3K4me3 may be indirect.”
InfluentialAn atlas of active enhancers across human cell types and tissues
The FANTOM Consortium, Andersson, R., Gebhard, C., Miguel-Escalada, I., Hoof, I., Bornholdt, J., Boyd, M., Chen, Y., Zhao, X., Schmidl, C., et al. (2014) · Nature · doi:10.1038/nature12787 · Cited by 2,550 · see citing works
Genome-scale DNA methylation maps of pluripotent and differentiated cells
Meissner, A., Mikkelsen, T. S., Gu, H., Wernig, M., Hanna, J., Sivachenko, A., Zhang, X., Bernstein, B. E., Nusbaum, C., Jaffe, D. B., et al. (2008) · Nature · doi:10.1038/nature07107 · Cited by 2,536 · see citing works
Widespread 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 · see citing works
A unique chromatin signature uncovers early developmental enhancers in humans
Rada-Iglesias, A., Bajpai, R., Swigut, T., Brugmann, S. A., Flynn, R. A., & Wysocka, J. (2011) · Nature · doi:10.1038/nature09692 · Cited by 2,233 · see citing works
Genome-wide analysis of mammalian promoter architecture and evolution
Carninci, P., Sandelin, A., Lenhard, B., Katayama, S., Shimokawa, K., Ponjavic, J., Semple, C. A. M., Taylor, M. S., Engström, P. G., Frith, M. C., et al. (2006) · Nature Genetics · doi:10.1038/ng1789 · Cited by 1,350 · see citing works
Transcription-associated mutational asymmetry in mammalian evolution
Program, N. C. S., Green, P., Ewing, B., Miller, W., Thomas, P. J., & Green, E. D. (2003) · Nature Genetics · doi:10.1038/ng1103 · Cited by 285 · see citing works
Flagged first, then by citations
Research works printed but not linked: 57
- [1]Kapranov P RNA maps reveal new RNA classes and a possible function for pervasive transcription Science 316 1484 1488 2007 17510325
- [2]Core LJ Waterfall J Lis J Nascent RNA sequencing reveals widespread pausing and divergent initiation at human promoters Science 2008 PMC2833333 19056941
- [3]Seila AC Divergent transcription from active promoters Science 322 1849 1851 2008 19056940 PMC2692996
- [4]Almada AE Wu X Kriz AJ Burge CB Sharp PA Promoter directionality is controlled by U1 snRNP and polyadenylation signals Nature 499 360 363 2013 23792564 PMC3720719
- [5]Ntini E Polyadenylation site-induced decay of upstream transcripts enforces promoter directionality Nat Struct Mol Biol 20 923 928 2013 23851456
- [6]Trinklein ND An abundance of bidirectional promoters in the human genome Genome Res 14 62 66 2004 14707170 PMC314279
- [7]Oler AJ Human RNA polymerase III transcriptomes and relationships to Pol II promoter chromatin and enhancer-binding factors Nat Struct Mol Biol 17 620 628 2010 20418882 PMC2945309
- [9]Hah N Murakami S Nagari A Danko CG Kraus WL Enhancer transcripts mark active estrogen receptor binding sites Genome Res 23 1210 1223 2013 23636943 PMC3730096
- [10]Wang D Reprogramming transcription by distinct classes of enhancers functionally defined by eRNA Nature 474 390 394 2011 21572438 PMC3117022
- [11]Koch F Transcription initiation platforms and GTF recruitment at tissue-specific enhancers and promoters Nat Struct Mol Biol 18 956 963 2011 21765417
- [13]Heintzman ND Ren B Finding distal regulatory elements in the human genome Curr Opin Genet Dev 19 541 549 2009 19854636 PMC3321269
- [14]Calo E Wysocka J Modification of enhancer chromatin: what, how, and why? Mol Cell 49 825 837 2013 23473601 PMC3857148
- [15]Struhl K Transcriptional noise and the fidelity of initiation by RNA polymerase II Nat Struct Mol Biol 14 103 105 2007 17277804
- [16]Orom UA Shiekhattar R Long non-coding RNAs and enhancers Curr Opin Genet Dev 21 194 198 2011 21330130 PMC3779066
- [17]Lam MT Li W Rosenfeld MG Glass CK Enhancer RNAs and regulated transcriptional programs Trends Biochem Sci 39 170 182 2014 24674738 PMC4266492
- [18]Seila AC Core LJ Lis JT Sharp PA Divergent transcription: a new feature of active promoters Cell Cycle 8 2557 2564 2009 19597342
- [19]Melgar MF Collins FS Sethupathy P Discovery of active enhancers through bidirectional expression of short transcripts Genome Biol 12 R113-2011-12-11-r113 2011 PMC3334599 22082242
- [21]Kruesi WS Core LJ Waters CT Lis JT Meyer BJ Condensin controls recruitment of RNA polymerase II to achieve nematode X-chromosome dosage compensation Elife 2 e00808 2013 23795297 PMC3687364
- [22]Kwak H Fuda NJ Core LJ Lis JT Precise maps of RNA polymerase reveal how promoters direct initiation and pausing Science 339 950 953 2013 23430654 PMC3974810
- [23]Andersson R Nuclear stability and transcriptional directionality separate functionally distinct RNA species bioRxiv 2014 25387874
- [24]ENCODE Project Consortium et al An integrated encyclopedia of DNA elements in the human genome Nature 489 57 74 2012 22955616 PMC3439153
- [25]Orkin SH Regulation of globin gene expression in erythroid cells Eur J Biochem 231 271 281 1995 7635138
- [26]Venters BJ Pugh BF Genomic organization of human transcription initiation complexes Nature 502 53 58 2013 24048476 PMC4018585
- [28]Ernst J Kellis M ChromHMM: automating chromatin-state discovery and characterization Nat Methods 9 215 216 2012 22373907 PMC3577932
- [29]Shiraki T Cap analysis gene expression for high-throughput analysis of transcriptional starting point and identification of promoter usage Proc Natl Acad Sci U S A 100 15776 81 2003 14663149 PMC307644
- [30]Maruyama K Sugano S Oligo-capping: a simple method to replace the cap structure of eukaryotic mRNAs with oligoribonucleotides Gene 138 171 174 1994 8125298
- [31]Affymetrix ENCODE Transcriptome Project & Cold Spring Harbor Laboratory ENCODE Transcriptome Project Post-transcriptional processing generates a diversity of 5′-modified long and short RNAs Nature 457 1028 1032 2009 19169241 PMC2719882
- [32]Piper J Wellington: a novel method for the accurate identification of digital genomic footprints from DNase-seq data Nucleic Acids Res 41 e201 2013 24071585 PMC3834841
- [33]Li G Extensive promoter-centered chromatin interactions provide a topological basis for transcription regulation Cell 148 84 98 2012 22265404 PMC3339270
- [35]Clouaire T Cfp1 integrates both CpG content and gene activity for accurate H3K4me3 deposition in embryonic stem cells Genes Dev 26 1714 1728 2012 22855832 PMC3418589
- [36]Schones DE Dynamic regulation of nucleosome positioning in the human genome Cell 132 887 898 2008 18329373 PMC10894452
- [37]Gaffney DJ Controls of nucleosome positioning in the human genome PLoS Genet 8 e1003036 2012 23166509 PMC3499251
- [38]Shlyueva D Stampfel G Stark A Transcriptional enhancers: from properties to genome-wide predictions Nat Rev Genet 15 272 286 2014 24614317
- [39]Coulombe B Burton ZF DNA bending and wrapping around RNA polymerase: a “revolutionary” model describing transcriptional mechanisms Microbiol Mol Biol Rev 63 457 78 1999 10357858 PMC98973
- [40]Foley JW Sidow A Transcription-factor occupancy at HOT regions quantitatively predicts RNA polymerase recruitment in five human cell lines BMC Genomics 14 720 2164 14 720 2013 24138567 PMC3826616
- [42]Zentner GE Tesar PJ Scacheri PC Epigenetic signatures distinguish multiple classes of enhancers with distinct cellular functions Genome Res 21 1273 1283 2011 21632746 PMC3149494
- [43]Creyghton MP Histone H3K27ac separates active from poised enhancers and predicts developmental state Proc Natl Acad Sci U S A 107 21931 21936 2010 21106759 PMC3003124
- [44]Stergachis AB Developmental fate and cellular maturity encoded in human regulatory DNA landscapes Cell 154 888 903 2013 23953118 PMC3962256
- [45]Wamstad JA Dynamic and coordinated epigenetic regulation of developmental transitions in the cardiac lineage Cell 151 206 220 2012 22981692 PMC3462286
- [46]Pekowska A H3K4 tri-methylation provides an epigenetic signature of active enhancers EMBO J 30 4198 4210 2011 21847099 PMC3199384
- [47]Shilatifard A The COMPASS family of histone H3K4 methylases: mechanisms of regulation in development and disease pathogenesis Annu Rev Biochem 81 65 95 2012 22663077 PMC4010150
- [48]Damgaard CK A 5′ splice site enhances the recruitment of basal transcription initiation factors in vivo Mol Cell 29 271 278 2008 18243121
- [49]Banerji J Rusconi S Schaffner W Expression of a beta-globin gene is enhanced by remote SV40 DNA sequences Cell 27 299 308 1981 6277502
- [50]Kaida D U1 snRNP protects pre-mRNAs from premature cleavage and polyadenylation Nature 468 664 668 2010 20881964 PMC2996489
- [51]Berg MG U1 snRNP determines mRNA length and regulates isoform expression Cell 150 53 64 2012 22770214 PMC3412174
- [52]Wu X Sharp PA Divergent transcription: a driving force for new gene origination? Cell 155 5 990 6 2013 24267885 PMC3899942
- [54]Kent WJ The human genome browser at UCSC 2002 PMC186604 12045153
- [55]Ashe HL Monks J Wijgerde M Fraser P Proudfoot NJ Intergenic transcription and transinduction of the human beta-globin locus Genes Dev 11 2494 2509 1997 9334315 PMC316561
- [56]Wang IX RNA-DNA differences are generated in human cells within seconds after RNA exits polymerase II Cell Rep 6 906 915 2014 24561252 PMC4918108
- [59]Sandelin A Mammalian RNA polymerase II core promoters: insights from genome-wide studies Nat Rev Genet 8 424 436 2007 17486122
- [60]Viterbi AJ Error bounds for convolutional codes and an asymptotically optimum decoding algorithm IEEE Transactions on Information Theory 13 2 260 269 1967
- [61]Rabiner LR A tutorial on hidden Markov models and selected applications in speech recognition Proceedings of the IEEE 77 2 257 286 1989
- [62]Cabili MN Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses Genes Dev 25 1915 1927 2011 21890647 PMC3185964
- [63]Harrow J GENCODE: the reference human genome annotation for The ENCODE Project Genome Res 22 1760 1774 2012 22955987 PMC3431492
- [64]Beaudoing E Freier S Wyatt JR Claverie JM Gautheret D Patterns of variant polyadenylation signal usage in human genes Genome Res 10 1001 1010 2000 10899149 PMC310884
- [65]Durbin R Eddy SR Krogh A Mitchison GJ Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids Cambridge University Press 1998
- [66]Johnson JW A heuristic method for estimating the relative weight of predictor variables in multiple regression Multivariate Behavioral Research, MVB 35 1 19 2000 26777229
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- Authors
- Core, L. J., Martins, A. L., Danko, C. G., Waters, C. T., Siepel, A., & Lis, J. T.
- Affiliations
- Harvard University (US)
- Cornell University (US)
- Corresponding author
- Siepel, Adam
- Lis, John T
- Venue
- Nature Genetics
- Published
- 2014-11-10
- Volume
- 46
- Issue
- 12
- Pages
- 1311-1320
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC4254663
- OpenAlex
- W2091533196
- Cited by
- 693
- References
- 9
- Citations by year
- 2026: 36 · 2025: 49 · 2024: 44 · 2023: 49 · 2022: 57 · 2021: 99 · 2020: 64 · 2019: 78 · 2018: 65 · 2017: 57 · 2016: 47 · 2015: 45 · 2014: 1 · 2013: 1
- FWCI
- 20.51
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (acceptedVersion)
- Funders
- National Institutes of Health
- National Human Genome Research Institute (HG0070707, R01HG007070)
- National Institute of General Medical Sciences (R01GM025232, R37GM025232, GM-25232)
- 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 › Epigenetics and DNA Methylation
- Keywords
- transcription initiation, promoter, enhancers, transcription start sites, divergent transcription, nascent RNA, transcript stability, nucleosome positioning, core promoter elements, transcription factor binding, histone modifications, GM12878, K562 cells, mammalian gene regulation
- MeSH terms
- B-Lymphocytes, Binding Sites, Chromatin, Enhancer Elements, Genetic, Histones, Humans, Markov Chains, Models, Genetic, Nucleosomes, Promoter Regions, Genetic, Regulatory Sequences, Nucleic Acid, RNA, RNA Splicing, Transcription, Genetic, K562 Cells, Transcription Initiation Site
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