Mapping the Human miRNA Interactome by CLASH Reveals Frequent Noncanonical Binding
Open accessAbstract
MicroRNAs (miRNAs) play key roles in gene regulation, but reliable bioinformatic or experimental identification of their targets remains difficult. To provide an unbiased view of human miRNA targets, we developed a technique for ligation and sequencing of miRNA-target RNA duplexes associated with human AGO1. Here, we report data sets of more than 18,000 high-confidence miRNA-mRNA interactions. The binding of most miRNAs includes the 5' seed region, but around 60% of seed interactions are noncanonical, containing bulged or mismatched nucleotides. Moreover, seed interactions are generally accompanied by specific, nonseed base pairing. 18% of miRNA-mRNA interactions involve the miRNA 3' end, with little evidence for 5' contacts, and some of these were functionally validated. Analyses of miRNA:mRNA base pairing showed that miRNA species systematically differ in their target RNA interactions, and strongly overrepresented motifs were found in the interaction sites of several miRNAs. We speculate that these affect the response of RISC to miRNA-target 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.
Integrity signals
Registry
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.
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?
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 Helwak et al., 2013
Prior chimeric CLIP experiments using spike-in of E. coli, Drosophila, or yeast lysate suggested a low (1-5%) rate of interactions formed in vitro after cell lysis.
“Prior chimeric CLIP experiments using spike-in of E. coli, Drosophila, or yeast lysate (Helwak et al., 2013;Moore et al., 2015) suggested a low (1-5%) rate of interactions formed in vitro after cell lysis”
From Scalable and deep profiling of mRNA targets for individual microRNAs with chimeric eCLIP (2022) · cites this paper as Helwak et al., 2013
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
The role of site accessibility in microRNA target recognition
Kertesz, M., Iovino, N., Unnerstall, U., Gaul, U., & Segal, E. (2007) · Nature Genetics · doi:10.1038/ng2135 · Cited by 2,460 · see citing works
An alternative mode of microRNA target recognition
Chi, S. W., Hannon, G. J., & Darnell, R. B. (2012) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2230 · Cited by 328 · see citing works
Cross-linking, ligation, and sequencing of hybrids reveals RNA–RNA interactions in yeast
Kudla, G., Granneman, S., Hahn, D., Beggs, J. D., & Tollervey, D. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1017386108 · Cited by 308 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 51
- Bailey, T.L., and Elkan, C. (1994). Fitting a mixture model by expectation maximization to discover motifs in biopolymers. Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, 28–36. 7584402
- Barat C. Lullien V. Schatz O. Keith G. Nugeyre M.T. Grüninger-Leitch F. Barré-Sinoussi F. LeGrice S.F. Darlix J.L. HIV-1 reverse transcriptase specifically interacts with the anticodon domain of its cognate primer tRNA EMBO J. 8 1989 3279 3285 2479543 PMC401457
- Bartel D.P. MicroRNAs: target recognition and regulatory functions Cell 136 2009 215 233 19167326 PMC3794896
- Broderick J.A. Salomon W.E. Ryder S.P. Aronin N. Zamore P.D. Argonaute protein identity and pairing geometry determine cooperativity in mammalian RNA silencing RNA 17 2011 1858 1869 21878547 PMC3185918
- Burroughs A.M. Ando Y. de Hoon M.J. Tomaru Y. Suzuki H. Hayashizaki Y. Daub C.O. Deep-sequencing of human Argonaute-associated small RNAs provides insight into miRNA sorting and reveals Argonaute association with RNA fragments of diverse origin RNA Biol. 8 2011 158 177 21282978 PMC3127082
- Chatterjee S. Grosshans H. Active turnover modulates mature microRNA activity in Caenorhabditis elegans Nature 461 2009 546 549 19734881
- Chen P.S. Su J.L. Cha S.T. Tarn W.Y. Wang M.Y. Hsu H.C. Lin M.T. Chu C.Y. Hua K.T. Chen C.N. miR-107 promotes tumor progression by targeting the let-7 microRNA in mice and humans J. Clin. Invest. 121 2011 3442 3455 21841313 PMC3163949
- Chi S.W. Zang J.B. Mele A. Darnell R.B. Argonaute HITS-CLIP decodes microRNA-mRNA interaction maps Nature 460 2009 479 486 19536157 PMC2733940
- Elefant N. Altuvia Y. Margalit H. A wide repertoire of miRNA binding sites: prediction and functional implications Bioinformatics 27 2011 3093 3101 21953484
- Elkayam E. Kuhn C.D. Tocilj A. Haase A.D. Greene E.M. Hannon G.J. Joshua-Tor L. The structure of human argonaute-2 in complex with miR-20a Cell 150 2012 100 110 22682761 PMC3464090
- Fabian M.R. Sonenberg N. Filipowicz W. Regulation of mRNA translation and stability by microRNAs Annu. Rev. Biochem. 79 2010 351 379 20533884
- Garcia D.M. Baek D. Shin C. Bell G.W. Grimson A. Bartel D.P. Weak seed-pairing stability and high target-site abundance decrease the proficiency of lsy-6 and other microRNAs Nat. Struct. Mol. Biol. 18 2011 1139 1146 21909094 PMC3190056
- Grant C.E. Bailey T.L. Noble W.S. FIMO: scanning for occurrences of a given motif Bioinformatics 27 2011 1017 1018 21330290 PMC3065696
- Grey F. Tirabassi R. Meyers H. Wu G. McWeeney S. Hook L. Nelson J.A. A viral microRNA down-regulates multiple cell cycle genes through mRNA 5’UTRs PLoS Pathog. 6 2010 e1000967 20585629 PMC2891821
- Grimson A. Farh K.K. Johnston W.K. Garrett-Engele P. Lim L.P. Bartel D.P. MicroRNA targeting specificity in mammals: determinants beyond seed pairing Mol. Cell 27 2007 91 105 17612493 PMC3800283
- Ha I. Wightman B. Ruvkun G. A bulged lin-4/lin-14 RNA duplex is sufficient for Caenorhabditis elegans lin-14 temporal gradient formation Genes Dev. 10 1996 3041 3050 8957004
- Hafner M. Landthaler M. Burger L. Khorshid M. Hausser J. Berninger P. Rothballer A. Ascano M. Jr. Jungkamp A.C. Munschauer M. Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP Cell 141 2010 129 141 20371350 PMC2861495
- Hafner M. Landthaler M. Burger L. Khorshid M. Hausser J. Berninger P. Rothballer A. Ascano M. Jungkamp A.C. Munschauer M. PAR-CliP—a method to identify transcriptome-wide the binding sites of RNA binding proteins J. Vis. Exp. 41 2010 2034 PMC3156069 20644507
- Hansen T.B. Jensen T.I. Clausen B.H. Bramsen J.B. Finsen B. Damgaard C.K. Kjems J. Natural RNA circles function as efficient microRNA sponges Nature 495 2013 384 388 23446346
- 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. 39 Database issue 2011 D163 D169 21071411 PMC3013699
- John B. Enright A.J. Aravin A. Tuschl T. Sander C. Marks D.S. Human microRNA targets PLoS Biol. 2 2004 e363 15502875 PMC521178
- Kim Y.K. Heo I. Kim V.N. Modifications of small RNAs and their associated proteins Cell 143 2010 703 709 21111232
- Krek A. Grün D. Poy M.N. Wolf R. Rosenberg L. Epstein E.J. MacMenamin P. da Piedade I. Gunsalus K.C. Stoffel M. Rajewsky N. Combinatorial microRNA target predictions Nat. Genet. 37 2005 495 500 15806104
- Lal A. Navarro F. Maher C.A. Maliszewski L.E. Yan N. O’Day E. Chowdhury D. Dykxhoorn D.M. 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 35 2009 610 625 19748357 PMC2757794
- Lewis B.P. Burge C.B. Bartel D.P. Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets Cell 120 2005 15 20 15652477
- Li Y. Zhang M. Chen H. Dong Z. Ganapathy V. Thangaraju M. Huang S. Ratio of miR-196s to HOXC8 messenger RNA correlates with breast cancer cell migration and metastasis Cancer Res. 70 2010 7894 7904 20736365 PMC2955846
- Lian S.L. Li S. Abadal G.X. Pauley B.A. Fritzler M.J. Chan E.K. The C-terminal half of human Ago2 binds to multiple GW-rich regions of GW182 and requires GW182 to mediate silencing RNA 15 2009 804 813 19324964 PMC2673069
- Liang X.H. Crooke S.T. Depletion of key protein components of the RISC pathway impairs pre-ribosomal RNA processing Nucleic Acids Res. 39 2011 4875 4889 21321021 PMC3113584
- Liu J. Carmell M.A. Rivas F.V. Marsden C.G. Thomson J.M. Song J.J. Hammond S.M. Joshua-Tor L. Hannon G.J. Argonaute2 is the catalytic engine of mammalian RNAi Science 305 2004 1437 1441 15284456
- Markham N.R. Zuker M. UNAFold: software for nucleic acid folding and hybridization Methods Mol. Biol. 453 2008 3 31 18712296
- Meister G. Landthaler M. Patkaniowska A. Dorsett Y. Teng G. Tuschl T. Human Argonaute2 mediates RNA cleavage targeted by miRNAs and siRNAs Mol. Cell 15 2004 185 197 15260970
- Memczak S. Jens M. Elefsinioti A. Torti F. Krueger J. Rybak A. Maier L. Mackowiak S.D. Gregersen L.H. Munschauer M. Circular RNAs are a large class of animal RNAs with regulatory potency Nature 495 2013 333 338 23446348
- Nelson P.T. Wang W.X. Mao G. Wilfred B.R. Xie K. Jennings M.H. Gao Z. Wang X. Specific sequence determinants of miR-15/107 microRNA gene group targets Nucleic Acids Res. 39 2011 8163 8172 21724616 PMC3185429
- Poliseno L. Salmena L. Zhang J. Carver B. Haveman W.J. Pandolfi P.P. A coding-independent function of gene and pseudogene mRNAs regulates tumour biology Nature 465 2010 1033 1038 20577206 PMC3206313
- Politz J.C. Zhang F. Pederson T. MicroRNA-206 colocalizes with ribosome-rich regions in both the nucleolus and cytoplasm of rat myogenic cells Proc. Natl. Acad. Sci. USA 103 2006 18957 18962 17135348 PMC1748159
- Pollard K.S. Hubisz M.J. Rosenbloom K.R. Siepel A. Detection of nonneutral substitution rates on mammalian phylogenies Genome Res. 20 2010 110 121 19858363 PMC2798823
- Reczko M. Maragkakis M. Alexiou P. Grosse I. Hatzigeorgiou A.G. Functional microRNA targets in protein coding sequences Bioinformatics 28 2012 771 776 22285563
- Rehmsmeier M. Steffen P. Hochsmann M. Giegerich R. Fast and effective prediction of microRNA/target duplexes RNA 10 2004 1507 1517 15383676 PMC1370637
- Salmena L. Poliseno L. Tay Y. Kats L. Pandolfi P.P. A ceRNA hypothesis: the Rosetta Stone of a hidden RNA language? Cell 146 2011 353 358 21802130 PMC3235919
- Shin C. Nam J.W. Farh K.K. Chiang H.R. Shkumatava A. Bartel D.P. Expanding the microRNA targeting code: functional sites with centered pairing Mol. Cell 38 2010 789 802 20620952 PMC2942757
- Su H. Trombly M.I. Chen J. Wang X. Essential and overlapping functions for mammalian Argonautes in microRNA silencing Genes Dev. 23 2009 304 317 19174539 PMC2648544
- Tang R. Li L. Zhu D. Hou D. Cao T. Gu H. Zhang J. Chen J. Zhang C.Y. Zen K. Mouse miRNA-709 directly regulates miRNA-15a/16-1 biogenesis at the posttranscriptional level in the nucleus: evidence for a microRNA hierarchy system Cell Res. 22 2012 504 515 21862971 PMC3292299
- Vella M.C. Reinert K. Slack F.J. Architecture of a validated microRNA:target interaction Chem. Biol. 11 2004 1619 1623 15610845
- Wang W.X. Wilfred B.R. Xie K. Jennings M.H. Hu Y.H. Stromberg A.J. Nelson P.T. Individual microRNAs (miRNAs) display distinct mRNA targeting “rules” RNA Biol. 7 2010 373 380 20421741 PMC3040646
- Yekta S. Shih I.H. Bartel D.P. MicroRNA-directed cleavage of HOXB8 mRNA Science 304 2004 594 596 15105502
- Zhang C. Darnell R.B. Mapping in vivo protein-RNA interactions at single-nucleotide resolution from HITS-CLIP data Nat. Biotechnol. 29 2011 607 614 21633356 PMC3400429
- Fujita P.A. Rhead B. Zweig A.S. Hinrichs A.S. Karolchik D. Cline M.S. Goldman M. Barber G.P. Clawson H. Coelho A. The UCSC Genome Browser database: update 2011 Nucleic Acids Res. 39 Database issue 2011 D876 D882 20959295 PMC3242726
- Griffiths-Jones S. Saini H.K. van Dongen S. Enright A.J. miRBase: tools for microRNA genomics Nucleic Acids Res. 36 Database issue 2008 D154 D158 17991681 PMC2238936
- Oeffinger M. Wei K.E. Rogers R. DeGrasse J.A. Chait B.T. Aitchison J.D. Rout M.P. Comprehensive analysis of diverse ribonucleoprotein complexes Nat. Methods 4 2007 951 956 17922018
- Saldanha A.J. Java Treeview—extensible visualization of microarray data Bioinformatics 20 2004 3246 3248 15180930
- Vergoulis T. Vlachos I.S. Alexiou P. Georgakilas G. Maragkakis M. Reczko M. Gerangelos S. Koziris N. Dalamagas T. Hatzigeorgiou A.G. TarBase 6.0: capturing the exponential growth of miRNA targets with experimental support Nucleic Acids Res. 40 Database issue 2012 D222 D229 22135297 PMC3245116
Cited by
Sorted by citations
miRDB: an online database for prediction of functional microRNA targets
Chen, Y., & Wang, X. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkz757 · Cited by 3,277 · see citing works
Pairing beyond the Seed Supports MicroRNA Targeting Specificity
Broughton, J. P., Lovci, M. T., Huang, J. L., Yeo, G. W., & Pasquinelli, A. E. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.09.004 · Cited by 487 · see citing works
Life of RISC: Formation, action, and degradation of RNA-induced silencing complex
Iwakawa, H.-O., & Tomari, Y. (2022) · Molecular Cell · doi:10.1016/j.molcel.2021.11.026 · Cited by 488 · see citing works
Moore, M. J., Scheel, T. K. H., Luna, J. M., Park, C. Y., Fak, J. J., Nishiuchi, E., Rice, C. M., & Darnell, R. B. (2015) · Nature Communications · doi:10.1038/ncomms9864 · Cited by 326 · see citing works
Hannafon, B. N., Carpenter, K. J., Berry, W. L., Janknecht, R., Dooley, W. C., & Ding, W.-Q. (2015) · Molecular Cancer · doi:10.1186/s12943-015-0400-7 · Cited by 218 · see citing works
Transcriptome-wide Discovery of microRNA Binding Sites in Human Brain
Boudreau, R. L., Jiang, P., Gilmore, B. L., Spengler, R. M., Tirabassi, R., Nelson, J. A., Ross, C. A., Xing, Y., & Davidson, B. L. (2014) · Neuron · doi:10.1016/j.neuron.2013.10.062 · Cited by 217 · see citing works
Reexamining assumptions about miRNA-guided gene silencing
Kilikevicius, A., Meister, G., & Corey, D. R. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkab1256 · Cited by 194 · see citing works
MicroRNAs in placental health and disease
Mouillet, J.-F., Ouyang, Y., Coyne, C. B., & Sadovsky, Y. (2015) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2015.05.057 · Cited by 195 · see citing works
Toward the promise of microRNAs - Enhancing reproducibility and rigor in microRNA research
Witwer, K. W., & Halushka, M. K. (2016) · RNA Biology · doi:10.1080/15476286.2016.1236172 · Cited by 151 · see citing works
High-Throughput Analysis Reveals Rules for Target RNA Binding and Cleavage by AGO2
Becker, W. R., Ober-Reynolds, B., Jouravleva, K., Jolly, S. M., Zamore, P. D., & Greenleaf, W. J. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.06.012 · Cited by 161 · see citing works
Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion
Li, Y., Liang, C., Wong, K.-C., Luo, J., & Zhang, Z. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu373 · Cited by 83 · see citing works
The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis
Pinkney, H. R., Wright, B. M., & Diermeier, S. D. (2020) · Non-Coding RNA · doi:10.3390/ncrna6040049 · Cited by 56 · see citing works
Olde Loohuis, N. F. M., Kole, K., Glennon, J. C., Karel, P., Van der Borg, G., Van Gemert, Y., Van den Bosch, D., Meinhardt, J., Kos, A., Shahabipour, F., et al. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.05.006 · Cited by 54 · see citing works
Scalable and deep profiling of mRNA targets for individual microRNAs with chimeric eCLIP
Manakov, S. A., Shishkin, A. A., Yee, B. A., Shen, K. A., Cox, D. C., Park, S. S., Foster, H. M., Chapman, K. B., Yeo, G. W., & Van Nostrand, E. L. (2022) · doi:10.1101/2022.02.13.480296 · Cited by 43 · see citing works
miRNAs in depression vulnerability and resilience: novel targets for preventive strategies
Lopizzo, N., Zonca, V., Cattane, N., Pariante, C. M., & Cattaneo, A. (2019) · Journal of Neural Transmission · doi:10.1007/s00702-019-02048-2 · Cited by 37 · see citing works
MicroRNAs in brain cholesterol metabolism and their implications for Alzheimer's disease
Yoon, H., Flores, L. F., & Kim, J. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2016.04.020 · Cited by 23 · see citing works
“However, noncanonical binding outside of the seed sequence also contributes to miRNAmRNA interaction [92].”
BackgroundPrognostic Roles of ceRNA Network-Based Signatures in Gastrointestinal Cancers
Qi, X., Chen, X., Zhao, Y., Chen, J., Niu, B., & Shen, B. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.921194 · Cited by 22 · see citing works
Bjerke, G. A., & Yi, R. (2020) · RNA · doi:10.1261/rna.073635.119 · Cited by 22 · see citing works
Dissecting miRNA gene repression on single cell level with an advanced fluorescent reporter system
Lemus-Diaz, N., Böker, K. O., Rodriguez-Polo, I., Mitter, M., Preis, J., Arlt, M., & Gruber, J. (2017) · Scientific Reports · doi:10.1038/srep45197 · Cited by 18 · see citing works
- Authors
- Helwak, A., Kudla, G., Dudnakova, T., & Tollervey, D.
- Affiliations
- Wellcome Centre for Cell Biology (GB)
- Corresponding author
- Tollervey, David
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 153
- Issue
- 3
- Pages
- 654-665
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC3650559
- OpenAlex
- W2150395782
- Cited by
- 1,269
- References
- 7
- Citations by year
- 2026: 40 · 2025: 60 · 2024: 70 · 2023: 84 · 2022: 99 · 2021: 103 · 2020: 109 · 2019: 101 · 2018: 124 · 2017: 113 · 2016: 101 · 2015: 116 · 2014: 125 · 2013: 24
- FWCI
- 43.04
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cell (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- Funders
- Wellcome Trust (092076, 097383, 077248)
- 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
- microRNA, miRNA-mRNA interactions, CLASH, AGO1, RNA-induced silencing complex, seed region, miRNA target identification
- MeSH terms
- Genetic Techniques, Humans, RNA, Messenger, Gene Expression Profiling, RNA, Untranslated, RNA-Induced Silencing Complex, MicroRNAs, Eukaryotic Initiation Factors, HEK293 Cells, High-Throughput Nucleotide Sequencing, Nucleotide Motifs, 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