Cited by 78Genomics and Chromatin DynamicsRNA Research and SplicingCancer-related molecular mechanisms research

Principles for RNA metabolism and alternative transcription initiation within closely spaced promoters

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Chen, Yun, Pai, Athma A, Herudek, Jan, Lubas, Michal, Meola, Nicola, Järvelin, Aino I, Andersson, Robin, Pelechano, Vicent +3 more·2016·Nature Genetics

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Abstract

Abstract Mammalian transcriptomes are complex and formed by extensive promoter activity. In addition, gene promoters are largely divergent and initiate transcription of reverse-oriented promoter upstream transcripts (PROMPTs). Although PROMPTs are commonly terminated early, influenced by polyadenylation sites, promoters often cluster so that the divergent activity of one might impact another. Here, we find that the distance between promoters strongly correlates with the expression, stability and length of their associated PROMPTs. Adjacent promoters driving divergent mRNA transcription support PROMPT formation, but due to polyadenylation site constraints, these transcripts tend to spread into the neighboring mRNA on the same strand. This mechanism to derive new alternative mRNA transcription start sites (TSSs) is also evident at closely spaced promoters supporting convergent mRNA transcription. We suggest that basic building blocks of divergently transcribed core promoter pairs, in combination with the wealth of TSSs in mammalian genomes, provides a framework with which evolution shapes transcriptomes.

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  • Both 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 [237]

    The Introduction describes divergent transcription at mammalian promoters and many enhancers. Results, under “Divergent TSSs have a common organization” (page unavailable), reports largely nucleosome-depleted regions between enhancer-RNA and promoter-transcript start sites. Our copy does not explicitly establish RNAP binding at both types of site, so that part of the claim is not supported. (LLM, conf=0.82)

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References 55 · Cited by 78

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  1. [1]Kapranov P RNA maps reveal new RNA classes and a possible function for pervasive transcription Science 2007 316 1484 1488 17510325
  2. [2]Taft RJ Tiny RNAs associated with transcription start sites in animals Nat Genet 2009 41 572 578 19377478
  3. [3]Preker P RNA Exosome Depletion Reveals Transcription Upstream of Active Human Promoters Science 2008 322 1851 1854 19056938
  4. [4]Core LJ Waterfall JJ Lis JT Nascent RNA Sequencing Reveals Widespread Pausing and Divergent Initiation at Human Promoters Science 2008 322 1845 1848 19056941 PMC2833333
  5. [5]Seila AC Divergent transcription from active promoters Science 2008 322 1849 1851 19056940 PMC2692996
  6. [6]Sigova AA Divergent transcription of long noncoding RNA/mRNA gene pairs in embryonic stem cells Proc Natl Acad Sci USA 2013 110 2876 2881 23382218 PMC3581948
  7. [7]Ntini E Polyadenylation site-induced decay of upstream transcripts enforces promoter directionality Nat Struct Mol Biol 2013 20 923 928 23851456
  8. [8]Almada AE Wu X Kriz AJ Burge CB Sharp PA Promoter directionality is controlled by U1 snRNP and polyadenylation signals Nature 2013 499 360 363 23792564 PMC3720719
  9. [9]Core LJ Analysis of nascent RNA identifies a unified architecture of initiation regions at mammalian promoters and enhancers Nat Genet 2014 46 1311 1320 25383968 PMC4254663
  10. [11]Nojima T Mammalian NET-Seq Reveals Genome-wide Nascent Transcription Coupled to RNA Processing Cell 2015 161 526 540 25910207 PMC4410947
  11. [12]Scruggs BS Bidirectional Transcription Arises from Two Distinct Hubs of Transcription Factor Binding and Active Chromatin Molecular Cell 2015 58 1101 1112 26028540 PMC4475495
  12. [13]Flynn RA Almada AE Zamudio JR Sharp PA Antisense RNA polymerase II divergent transcripts are P-TEFb dependent and substrates for the RNA exosome Proc Natl Acad Sci USA 2011 108 10460 10465 21670248 PMC3127934
  13. [14]Kaida D U1 snRNP protects pre-mRNAs from premature cleavage and polyadenylation Nature 2010 468 664 668 20881964 PMC2996489
  14. [15]Duttke SH Human Promoters Are Intrinsically Directional Molecular Cell 2015 57 674 684 25639469 PMC4336624
  15. [18]Andersson R Nuclear stability and transcriptional directionality separate functionally distinct RNA species Nat Comms 2014 5 5336 5336 25387874
  16. [19]Trinklein ND An abundance of bidirectional promoters in the human genome Genome Research 2004 14 62 66 14707170 PMC314279
  17. [20]Li Y-Y Systematic Analysis of Head-to-Head Gene Organization: Evolutionary Conservation and Potential Biological Relevance PLoS Comput Biol 2006 2 e74 16839196 PMC1487180
  18. [21]Katayama S Antisense transcription in the mammalian transcriptome Science 2005 309 1564 1566 16141073
  19. [22]Engström PG Complex Loci in human and mouse genomes PLoS Genet 2006 2 e47 e47 16683030 PMC1449890
  20. [23]Lehner B Williams G Campbell RD Sanderson CM Antisense transcripts in the human genome Trends Genet 2002 18 63 65 11818131
  21. [24]Andersson R Human Gene Promoters Are Intrinsically Bidirectional Molecular Cell 2015 60 346 347 26545074 PMC5485825
  22. [25]Kadonaga JT Perspectives on the RNA polymerase II core promoter Wiley Interdiscip Rev Dev Biol 2011 1 40 51 23801666 PMC3695423
  23. [26]Harrow J GENCODE: the reference human genome annotation for The ENCODE Project Genome Research 2012 22 1760 1774 22955987 PMC3431492
  24. [27]ENCODE Project Consortium An integrated encyclopedia of DNA elements in the human genome Nature 2012 489 57 74 22955616 PMC3439153
  25. [28]Thurman RE The accessible chromatin landscape of the human genome Nature 2012 489 75 82 22955617 PMC3721348
  26. [29]Fenouil R CpG islands and GC content dictate nucleosome depletion in a transcription-independent manner at mammalian promoters Genome Research 2012 22 2399 2408 23100115 PMC3514669
  27. [30]Pugh BF Venters BJ Genomic Organization of Human Transcription Initiation Complexes PLoS ONE 2015 11 e0149339 e0149339 26866362 PMC4750860
  28. [31]Rhee HS Pugh BF Genome-wide structure and organization of eukaryotic pre-initiation complexes Nature 2012 483 295 301 22258509 PMC3306527
  29. [32]Valen EE Biogenic mechanisms and utilization of small RNAs derived from human protein-coding genes Nat Struct Mol Biol 2011 18 1075 1082 21822281
  30. [33]Pelechano V Wei W Steinmetz LM Extensive transcriptional heterogeneity revealed by isoform profiling Nature 2013 497 127 131 23615609 PMC3705217
  31. [34]Lubas M Interaction Profiling Identifies the Human Nuclear Exosome Targeting Complex Molecular Cell 2010 43 624 637 21855801
  32. [35]Faghihi MA Wahlestedt C Regulatory roles of natural antisense transcripts Nat Rev Mol Cell Biol 2009 10 637 643 19638999 PMC2850559
  33. [36]The FANTOM Consortium The Transcriptional Landscape of the Mammalian Genome Science 2005 309 1559 1563 16141072
  34. [37]Wu X Sharp PA Divergent transcription: a driving force for new gene origination? Cell 2013 155 990 996 24267885 PMC3899942
  35. [38]Jensen TH Jacquier A Libri D Dealing with Pervasive Transcription Molecular Cell 2013 52 473 484 24267449
  36. [40]Forrest ARR A promoter-level mammalian expression atlas Nature 2014 507 462 470 24670764 PMC4529748
  37. [41]Karolchik D The UCSC Genome Browser database: 2014 update Nucleic Acids Research 2013 42 D764 D770 24270787 PMC3964947
  38. [42]Andersen PR The human cap-binding complex is functionally connected to the nuclear RNA exosome Nat Struct Mol Biol 2013 20 1367 1376 24270879 PMC3923317
  39. [43]Pelechano V Wei W Jakob P Steinmetz LM Genome-wide identification of transcript start and end sites by transcript isoform sequencing Nat Protoc 2014 9 1740 1759 24967623 PMC4111111
  40. [44]Anders S Pyl PT Huber W HTSeq--a Python framework to work with high-throughput sequencing data Bioinformatics 2015 31 166 169 25260700 PMC4287950
  41. [45]Wu TD Nacu S Fast and SNP-tolerant detection of complex variants and splicing in short reads Bioinformatics 2010 26 873 881 20147302 PMC2844994
  42. [46]Langmead B Trapnell C Pop M Salzberg SL Ultrafast and memory-efficient alignment of short DNA sequences to the human genome Genome Biol 2009 10 R25 19261174 PMC2690996
  43. [47]Marstrand TT Asap: A Framework for Over-Representation Statistics for Transcription Factor Binding Sites PLoS ONE 2008 3 e1623 18286180 PMC2229843
  44. [48]Frith MC A code for transcription initiation in mammalian genomes Genome Research 2007 18 1 12 18032727 PMC2134772
  45. [50]Quinlan AR Hall IM BEDTools: a flexible suite of utilities for comparing genomic features Bioinformatics 2010 26 841 842 20110278 PMC2832824
  46. [51]Robinson JT Integrative genomics viewer Nature Biotechnology 2010 29 24 26 PMC3346182 21221095
  47. [52]Wickham H ggplot2: elegant graphics for data analysis 2009 Springer

Authors
Chen, Y., Pai, A. A., Herudek, J., Lubas, M., Meola, N., Järvelin, A. I., Andersson, R., Pelechano, V., Steinmetz, L. M., Jensen, T. H., & Sandelin, A.
Affiliations
  • University of Copenhagen (DK)
  • Massachusetts Institute of Technology (US)
  • Aarhus University (DK)
  • European Molecular Biology Laboratory (DE)
  • Stanford Medicine (US)
Corresponding author
  • Jensen, Torben Heick
  • Sandelin, Albin
Venue
Nature Genetics
Published
2016-07-25
Volume
48
Issue
9
Pages
984-994
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W2506779270
Cited by
78
References
55
Citations by year
2026: 4 · 2025: 5 · 2024: 9 · 2023: 4 · 2022: 7 · 2021: 8 · 2020: 10 · 2019: 10 · 2018: 13 · 2017: 6 · 2016: 2
FWCI
5.37
Type
journal article
Language
en
Open access
Licence
Locations
  • Nature Genetics (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
Funders
  • Innovationsfonden
  • Deutsche Forschungsgemeinschaft (1422/3-1)
  • Danmarks Grundforskningsfond (DNRF58)
  • Lundbeckfonden (R198-2015-172, R82-2010-6779)
  • Novo Nordisk
  • Novo Nordisk Fonden (NNF15OC0017010, NNF10SA1016550)
  • H. Lundbeck A/S
  • H2020 European Research Council (638273)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
Keywords
prompting, divergent transcription, convergent transcription, alternative transcription start sites, polyadenylation sites, RNA metabolism, transcriptome evolution
MeSH terms
Humans, Models, Genetic, Promoter Regions, Genetic, RNA, Transcription, Genetic, Alternative Splicing, Transcription Initiation Site, Polyadenylation, High-Throughput Nucleotide Sequencing

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