Cited by 282MicroRNA in disease regulationRNA Research and SplicingPlant Molecular Biology Research

Unambiguous Identification of miRNA:Target Site Interactions by Different Types of Ligation Reactions

Open access
Grosswendt, Stefanie, Filipchyk, Andrei, Manzano, Mark, Klironomos, Filippos, Schilling, Marcel, Herzog, Margareta, Gottwein, Eva, Rajewsky, Nikolaus·2014·Molecular Cell

Abstract

To exert regulatory function, miRNAs guide Argonaute (AGO) proteins to partially complementary sites on target RNAs. Crosslinking and immunoprecipitation (CLIP) assays are state-of-the-art to map AGO binding sites, but assigning the targeting miRNA to these sites relies on bioinformatics predictions and is therefore indirect. To directly and unambiguously identify miRNA:target site interactions, we modified our CLIP methodology in C. elegans to experimentally ligate miRNAs to their target sites. Unexpectedly, ligation reactions also occurred in the absence of the exogenous ligase. Our in vivo data set and reanalysis of published mammalian AGO-CLIP data for miRNA-chimeras yielded ∼17,000 miRNA:target site interactions. Analysis of interactions and extensive experimental validation of chimera-discovered targets of viral miRNAs suggest that our strategy identifies canonical, noncanonical, and nonconserved miRNA:targets. About 80% of miRNA interactions have perfect or partial seed complementarity. In summary, analysis of miRNA:target chimeras enables the systematic, context-specific, in vivo discovery of miRNA binding.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.molcel.2014.03.049

Cites

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Chimeric CLIP-seq approaches incorporate a phosphorylation step and an additional ligation step to increase the frequency of chimeric fragments to as much as 5.3%, although it often remains less than 2%.

    “chimeric CLIP-seq approaches (including CLASH, CLEAR-CLIP, and modified iPAR-CLIP) have modified this approach by incorporating both a phosphorylation step (using 3' phosphatase minus T4 Polynucleotide Kinase) as well as an additional ligation step (without adapters) to encourage proximity-based ligation and increase the frequency of chimeric fragments to as much as 5.3%, although it often remains”

    From Scalable and deep profiling of mRNA targets for individual microRNAs with chimeric eCLIP (2022) · cites this paper as Grosswendt et al., 2014

    The Experimental Procedures section (page unavailable) describes an added T4 RNA ligase reaction in modified iPAR-CLIP, supporting that part of the claim. Our copy does not document the specified phosphorylation step or a 5.3% chimeric-fragment frequency; the Discussion instead reports a ligation efficiency of 0.14% of reads. The Results’ “less than 2%” refers to chimeras containing bacterial sequences, not the overall frequency of chimeric fragments. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • A suite of chimeric CLIP methods including CLASH, modified iPAR-CLIP, and CLEAR-CLIP were developed to enable direct experimental mapping of microRNA:target interactions.

    “To enable this direct experimental mapping of microRNA:target interactions, a suite of chimeric CLIP methods including CrossLinking And Sequencing of Hybrids (CLASH), modified iPAR-CLIP, and CLEAR-CLIP (Broughton et al., 2016;Grosswendt et al., 2014;Helwak et al., 2013;Moore et al., 2015) were developed.”

    From Scalable and deep profiling of mRNA targets for individual microRNAs with chimeric eCLIP (2022) · cites this paper as Grosswendt et al., 2014

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 61 · Cited by 282

Research works printed but not linked: 57

  1. Bagga S Bracht J Hunter S Massirer K Holtz J Eachus R Pasquinelli AE Regulation by let-7 and lin-4 miRNAs results in target mRNA degradation. Cell 2005 122 553 563 16122423
  2. Bartel DP MicroRNAs: target recognition and regulatory functions. Cell 2009 136 215 233 19167326 PMC3794896
  3. Boss IW Nadeau PE Abbott JR Yang Y Mergia A Renne R A Kaposi's sarcoma-associated herpesvirus-encoded ortholog of microRNA miR-155 induces human splenic B-cell expansion in NOD/LtSz-scid IL2Rγnull mice. Journal of Virology 2011 85 9877 9886 21813606 PMC3196388
  4. Brennecke J Stark A Russell RB Cohen SM Principles of microRNA-target recognition. PLoS Biol 2005 3 e85 15723116 PMC1043860
  5. Cai X Cullen BR Transcriptional origin of Kaposi's sarcoma-associated herpesvirus microRNAs. Journal of Virology 2006 80 2234 2242 16474131 PMC1395403
  6. Chi SW Zang JB Mele A Darnell RB Argonaute HITS-CLIP decodes microRNA-mRNA interaction maps. Nature 2009 460 479 486 19536157 PMC2733940
  7. Dahlke C Maul K Christalla T Walz N Schult P Stocking C Grundhoff A A microRNA encoded by Kaposi sarcoma-associated herpesvirus promotes B-cell expansion in vivo. PLoS ONE 2012 7 e49435 23185331 PMC3502504
  8. Didiano D Hobert O Perfect seed pairing is not a generally reliable predictor for miRNA-target interactions. Nature Structural & Molecular Biology 2006 13 849 851 16921378
  9. Elkayam E Kuhn C-D Tocilj A Haase AD Greene EM Hannon GJ Joshua-Tor L The structure of human argonaute-2 in complex with miR-20a. Cell 2012 150 100 110 22682761 PMC3464090
  10. Erhard F Dölken L Jaskiewicz L Zimmer R PARma: identification of microRNA target sites in AGO-PAR-CLIP data. Genome Biology 2013 14 R79 23895117 PMC4054675
  11. Fabian MR Sonenberg N Filipowicz W Regulation of mRNA translation and stability by microRNAs. Annu Rev Biochem 2010 79 351 379 20533884
  12. Fang Z Rajewsky N The impact of miRNA target sites in coding sequences and in 3′UTRs. PLoS ONE 2011 6 e18067 21445367 PMC3062573
  13. Filipowicz W Konarska M Gross HJ Shatkin AJ RNA 3′-terminal phosphate cyclase activity and RNA ligation in HeLa cell extract. Nucleic Acids Res 1983 11 1405 1418 6828385 PMC325805
  14. Garcia DM Baek D Shin C Bell GW Grimson A Bartel DP Weak seed-pairing stability and high target-site abundance decrease the proficiency of lsy-6 and other microRNAs. Nature Structural & Molecular Biology 2011 18 1139 1146 PMC3190056 21909094
  15. Gottwein E Kaposi's Sarcoma-Associated Herpesvirus microRNAs. Front Microbiol 2012 3 165 22563327 PMC3342587
  16. Gottwein E Corcoran DL Mukherjee N Skalsky RL Hafner M Nusbaum JD Shamulailatpam P Love CL Dave SS Tuschl T Viral microRNA targetome of KSHV-infected primary effusion lymphoma cell lines. Cell Host Microbe 2011 10 515 526 22100165 PMC3222872
  17. Gottwein E Mukherjee N Sachse C Frenzel C Majoros WH Chi J-TA Braich R Manoharan M Soutschek J Ohler U A viral microRNA functions as an orthologue of cellular miR-155. Nature 2007 450 1096 1099 18075594 PMC2614920
  18. Grundhoff A Sullivan CS Ganem D A combined computational and microarray-based approach identifies novel microRNAs encoded by human gamma-herpesviruses. Rna 2006 12 733 750 16540699 PMC1440911
  19. Gu S Jin L Zhang F Sarnow P Kay MA Biological basis for restriction of microRNA targets to the 30 untranslated region in mammalian mRNAs. Nat. Struct. Mol. Biol 2009 16 144 150 19182800 PMC2713750
  20. Hafner M Landthaler M Burger L Khorshid M Hausser J Berninger P Rothballer A Ascano M Jungkamp A-C Munschauer M Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP. Cell 2010 141 129 141 20371350 PMC2861495
  21. Helwak A Kudla G Dudnakova T Tollervey D Mapping the Human miRNA Interactome by CLASH Reveals Frequent Noncanonical Binding. Cell 2013 153 654 665 23622248 PMC3650559
  22. Hsu S-D Lin F-M Wu W-Y Liang C Huang W-C Chan W-L Tsai W-T Chen G-Z Lee C-J Chiu C-M miRTarBase: a database curates experimentally validated microRNA-target interactions. Nucleic Acids Res 2011 39 D163 D169 21071411 PMC3013699
  23. Jungkamp A-C Stoeckius M Mecenas D Grün D Mastrobuoni G Kempa S Rajewsky N In vivo and transcriptome-wide identification of RNA binding protein target sites. Mol Cell 2011 44 828 840 22152485 PMC3253457
  24. Khorshid M Hausser J Zavolan M Van Nimwegen E A biophysical miRNA-mRNA interaction model infers canonical and noncanonical targets. Nat Methods 2013 10 253 255 23334102
  25. Kincaid RP Sullivan CS Virus-encoded microRNAs: an overview and a look to the future. PLoS Pathog 2012 8 e1003018 23308061 PMC3534370
  26. Kishore S Jaskiewicz L Burger L Hausser J Khorshid M Zavolan M A quantitative analysis of CLIP methods for identifying binding sites of RNA-binding proteins. Nat Methods 2011 8 559 564 21572407
  27. Krek A Grün D Poy MN Wolf R Rosenberg L Epstein EJ MacMenamin P da Piedade I Gunsalus KC Stoffel M Combinatorial microRNA target predictions. Nat Genet 2005 37 495 500 15806104
  28. Lai EC Micro RNAs are complementary to 3′ UTR sequence motifs that mediate negative post-transcriptional regulation. Nat Genet 2002 30 363 364 11896390
  29. Lal A Navarro F Maher CA Maliszewski LE Yan N O'Day E Chowdhury D Dykxhoorn DM Tsai P Hofmann O miR-24 Inhibits cell proliferation by targeting E2F2, MYC, and other cell-cycle genes via binding to “seedless” 3′UTR microRNA recognition elements. Mol Cell 2009 35 610 625 19748357 PMC2757794
  30. Lebedeva S Jens M Theil K Schwanhäusser B Selbach M Landthaler M Rajewsky N Transcriptome-wide analysis of regulatory interactions of the RNA-binding protein HuR. Mol Cell 2011 43 340 352 21723171
  31. Lewis BP Burge CB Bartel DP Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell 2005 120 15 20 15652477
  32. Linnstaedt SD Gottwein E Skalsky RL Luftig MA Cullen BR Virally induced cellular microRNA miR-155 plays a key role in B-cell immortalization by Epstein-Barr virus. Journal of Virology 2010 84 11670 11678 20844043 PMC2977875
  33. Lipchina I Elkabetz Y Hafner M Sheridan R Mihailovic A Tuschl T Sander C Studer L Betel D Genome-wide identification of microRNA targets in human ES cells reveals a role for miR-302 in modulating BMP response. Genes & Development 2011 25 2173 2186 22012620 PMC3205587
  34. Liu C Mallick B Long D Rennie WA Wolenc A Carmack CS Ding Y CLIP-based prediction of mammalian microRNA binding sites. Nucleic Acids Res 2013 41 e138 23703212 PMC3737542
  35. Loeb GB Khan AA Canner D Hiatt JB Shendure J Darnell RB Leslie CS Rudensky AY Transcriptome-wide miR-155 binding map reveals widespread noncanonical microRNA targeting. Mol Cell 2012 48 760 770 23142080 PMC3562697
  36. Majoros WH Lekprasert P Mukherjee N Skalsky RL Corcoran DL Cullen BR Ohler U MicroRNA target site identification by integrating sequence and binding information. Nat Methods 2013 10 630 633 23708386 PMC3818907
  37. Manzano M Shamulailatpam P Raja AN Gottwein E Kaposi's Sarcoma-Associated Herpesvirus Encodes a Mimic of Cellular miR-23. Journal of Virology 2013 87 11821 11830 23986579 PMC3807327
  38. Martinez J Patkaniowska A Urlaub H Lührmann R Tuschl T Single-stranded antisense siRNAs guide target RNA cleavage in RNAi. Cell 2002 110 563 574 12230974
  39. Memczak S Jens M Elefsinioti A Torti F Krueger J Rybak A Maier L Mackowiak SD Gregersen LH Munschauer M Circular RNAs are a large class of animal RNAs with regulatory potency. Nature 2013 495 333 338 23446348
  40. Parker JS Parizotto EA Wang M Roe SM Barford D Enhancement of the seed-target recognition step in RNA silencing by a PIWI/MID domain protein. Mol Cell 2009 33 204 214 19187762 PMC2642989
  41. Perkins KK Furneaux H Hurwitz J Isolation and characterization of an RNA ligase from HeLa cells. Proc Natl Acad Sci USA 1985 82 684 688 3856222 PMC397110
  42. Pfeffer S Sewer A Lagos-Quintana M Sheridan R Sander C Grässer FA van Dyk LF Ho CK Shuman S Chien M Identification of microRNAs of the herpesvirus family. Nature Publishing Group 2005 2 269 276 15782219
  43. Pfeffer S Zavolan M Grässer FA Chien M Russo JJ Ju J John B Enright AJ Marks D Sander C Identification of virus-encoded microRNAs. Science 2004 304 734 736 15118162
  44. Pinder BD Smibert CA microRNA-independent recruitment of Argonaute 1 to nanos mRNA through the Smaug RNA-binding protein. EMBO Rep 2013 14 80 86 23184089 PMC3537145
  45. Popow J Englert M Weitzer S Schleiffer A Mierzwa B Mechtler K Trowitzsch S Will CL Lührmann R Söll D HSPC117 is the essential subunit of a human tRNA splicing ligase complex. Science 2011 331 760 764 21311021
  46. Rajewsky N microRNA target predictions in animals. Nat Genet 2006 38 Suppl S8 S13 16736023
  47. Rehmsmeier M Steffen P Hochsmann M Giegerich R Fast and effective prediction of microRNA/target duplexes. Rna 2004 10 1507 1517 15383676 PMC1370637
  48. Samols MA Hu J Skalsky RL Renne R Cloning and identification of a microRNA cluster within the latency-associated region of Kaposi's sarcoma-associated herpesvirus. Journal of Virology 2005 79 9301 9305 15994824 PMC1168752
  49. Shin C Nam J-W Farh KK-H Chiang HR Shkumatava A Bartel DP Expanding the microRNA targeting code: functional sites with centered pairing. Mol Cell 2010 38 789 802 20620952 PMC2942757
  50. Skalsky RL Corcoran DL Gottwein E Frank CL Kang D Hafner M Nusbaum JD Feederle R Delecluse H-J Luftig MA The Viral and Cellular MicroRNA Targetome in Lymphoblastoid Cell Lines. PLoS Pathog 2012 8 e1002484 22291592 PMC3266933
  51. Skalsky RL Samols MA Plaisance KB Boss IW Riva A Lopez MC Baker HV Renne R Kaposi's sarcoma-associated herpesvirus encodes an ortholog of miR-155. Journal of Virology 2007 81 12836 12845 17881434 PMC2169101
  52. Vella MC Choi E-Y Lin S-Y Reinert K Slack FJ The C. elegans microRNA let-7 binds to imperfect let-7 complementary sites from the lin-41 3′UTR. Genes & Development 2004 18 132 137 14729570 PMC324419
  53. Wee LM Flores-Jasso CF Salomon WE Zamore PD Argonaute divides its RNA guide into domains with distinct functions and RNA-binding properties. Cell 2012 151 1055 1067 23178124 PMC3595543
  54. Wu L Belasco JG Micro-RNA regulation of the mammalian lin-28 gene during neuronal differentiation of embryonal carcinoma cells. Mol. Cell. Biol 2005 25 9198 9208 16227573 PMC1265813
  55. Yekta S Shih I-H Bartel DP MicroRNA-directed cleavage of HOXB8 mRNA. Science 2004 304 594 596 15105502
  56. Zhao Y Xu H Yao Y Smith LP Kgosana L Green J Petherbridge L Baigent SJ Nair V Critical role of the virus-encoded microRNA-155 ortholog in the induction of Marek's disease lymphomas. PLoS Pathog 2011 7 e1001305 21383974 PMC3044692
  57. Zisoulis DG Lovci MT Wilbert ML Hutt KR Liang TY Pasquinelli AE Yeo GW Comprehensive discovery of endogenous Argonaute binding sites in Caenorhabditis elegans. Nature Structural & Molecular Biology 2010 17 173 179 PMC2834287 20062054

Authors
Grosswendt, S., Filipchyk, A., Manzano, M., Klironomos, F., Schilling, M., Herzog, M., Gottwein, E., & Rajewsky, N.
Affiliations
  • Max Delbrück Center (DE)
  • Northwestern University (US)
Corresponding author
Rajewsky, Nikolaus
Venue
Molecular Cell
Publisher
Elsevier BV
Published
2014-06
Volume
54
Issue
6
Pages
1042-1054
ISSN
1097-2765 (ISSN-L)
OpenAlex
W2045685910
Cited by
282
References
61
Citations by year
2026: 9 · 2025: 13 · 2024: 12 · 2023: 14 · 2022: 18 · 2021: 31 · 2020: 26 · 2019: 34 · 2018: 31 · 2017: 27 · 2016: 30 · 2015: 21 · 2014: 16
FWCI
9.37
Type
journal article
Language
en
Open access
Locations
  • Molecular Cell (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (submittedVersion)
Funders
  • Deutsche Forschungsgemeinschaft (CBS-GRK 1772)
  • National Institutes of Health (U54CA143869)
  • National Cancer Institute
  • Connecticut Department of Energy and Environmental Protection
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
Keywords
Argonaute proteins, viral miRNAs, RNA silencing, Caenorhabditis elegans
MeSH terms
Animals, Binding Sites, Cell Line, Chimera, Humans, RNA-Binding Proteins, Caenorhabditis elegans, Protein Interaction Mapping, MicroRNAs, Mice, Embryonic Stem Cells, HEK293 Cells, Argonaute Proteins

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