The DOI matches its OpenAlex record; 11 of the 11 references it cites were found in a registry or an index.
Expanded identification and characterization of mammalian circular RNAs
Open accessAbstract
BACKGROUND: The recent reports of two circular RNAs (circRNAs) with strong potential to act as microRNA (miRNA) sponges suggest that circRNAs might play important roles in regulating gene expression. However, the global properties of circRNAs are not well understood. RESULTS: We developed a computational pipeline to identify circRNAs and quantify their relative abundance from RNA-seq data. Applying this pipeline to a large set of non-poly(A)-selected RNA-seq data from the ENCODE project, we annotated 7,112 human circRNAs that were estimated to comprise at least 10% of the transcripts accumulating from their loci. Most circRNAs are expressed in only a few cell types and at low abundance, but they are no more cell-type-specific than are mRNAs with similar overall expression levels. Although most circRNAs overlap protein-coding sequences, ribosome profiling provides no evidence for their translation. We also annotated 635 mouse circRNAs, and although 20% of them are orthologous to human circRNAs, the sequence conservation of these circRNA orthologs is no higher than that of their neighboring linear exons. The previously proposed miR-7 sponge, CDR1as, is one of only two circRNAs with more miRNA sites than expected by chance, with the next best miRNA-sponge candidate deriving from a gene encoding a primate-specific zinc-finger protein, ZNF91. CONCLUSIONS: Our results provide a new framework for future investigation of this intriguing topological isoform while raising doubts regarding a biological function of most circRNAs.
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.
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
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
Self-citationMapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696
Circular RNAs are a large class of animal RNAs with regulatory potency
Memczak, S., Jens, M., Elefsinioti, A., Torti, F., Krueger, J., Rybak, A., Maier, L., Mackowiak, S. D., Gregersen, L. H., Munschauer, M., et al. (2013) · Nature · doi:10.1038/nature11928 · Cited by 7,990
Natural RNA circles function as efficient microRNA sponges
Hansen, T. B., Jensen, T. I., Clausen, B. H., Bramsen, J. B., Finsen, B., Damgaard, C. K., & Kjems, J. (2013) · Nature · doi:10.1038/nature11993 · Cited by 7,985
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
Circular RNAs are abundant, conserved, and associated with ALU repeats
Jeck, W. R., Sorrentino, J. A., Wang, K., Slevin, M. K., Burd, C. E., Liu, J., Marzluff, W. F., & Sharpless, N. E. (2013) · RNA · doi:10.1261/rna.035667.112 · Cited by 4,388
Long Noncoding RNAs: Cellular Address Codes in Development and Disease
Batista, P. J., & Chang, H. Y. (2013) · Cell · doi:10.1016/j.cell.2013.02.012 · Cited by 2,531
Gene silencing by microRNAs: contributions of translational repression and mRNA decay
Huntzinger, E., & Izaurralde, E. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2936 · Cited by 2,339
EnsemblCompara GeneTrees: Complete, duplication-aware phylogenetic trees in vertebrates
Vilella, A. J., Severin, J., Ureta-Vidal, A., Heng, L., Durbin, R., & Birney, E. (2009) · Genome Research · doi:10.1101/gr.073585.107 · Cited by 1,238
The Evolutionary Landscape of Alternative Splicing in Vertebrate Species
Barbosa-Morais, N. L., Irimia, M., Pan, Q., Xiong, H. Y., Gueroussov, S., Lee, L. J., Slobodeniuc, V., Kutter, C., Watt, S., Çolak, R., et al. (2012) · Science · doi:10.1126/science.1230612 · Cited by 1,063
Cited by
The biogenesis, biology and characterization of circular RNAs
Kristensen, L. S., Andersen, M. S., Stagsted, L. V. W., Ebbesen, K. K., Hansen, T. B., & Kjems, J. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0158-7 · Cited by 4,823
Exon-intron circular RNAs regulate transcription in the nucleus
Li, Z., Huang, C., Bao, C., Chen, L., Lin, M., Wang, X., Zhong, G., Yu, B., Hu, W., Dai, L., et al. (2015) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2959 · Cited by 2,905
Regulation of microRNA function in animals
Gebert, L. F. R., & MacRae, I. J. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0045-7 · Cited by 2,284
Endogenous microRNA sponges: evidence and controversy
Thomson, D. W., & Dinger, M. E. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.20 · Cited by 2,185
Complementary Sequence-Mediated Exon Circularization
Zhang, X.-O., Wang, H.-B., Zhang, Y., Lu, X., Chen, L.-L., & Yang, L. (2014) · Cell · doi:10.1016/j.cell.2014.09.001 · Cited by 1,999
Metadata
- Authors
- Guo, J. U., Agarwal, V., Guo, H., & Bartel, D. P.
- Venue
- Genome biology
- Publisher
- BioMed Central
- Published
- 2014-01-01
- Volume
- 15
- Issue
- 7
- Pages
- 409-409
- ISSN
- 1465-6906 (ISSN-L)
- OpenAlex
- W2126938291
- Cited by
- 1,585
- References
- 11
- FWCI
- 34.56
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Expanded identification and characterization of mammalian circular RNAs. https://app.cochat.ai/papers/10.1186/preaccept-1176565312639289
- The paper
- Guo, J. U., Agarwal, V., Guo, H., & Bartel, D. P. (2014). Expanded identification and characterization of mammalian circular RNAs. Genome biology. https://doi.org/10.1186/preaccept-1176565312639289
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
