The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Non‐coding RNAs: Meet thy masters
Abstract
New DNA sequencing technologies have provided novel insights into eukaryotic genomes, epigenomes, and the transcriptome, including the identification of new non‐coding RNA (ncRNA) classes such as promoter‐associated RNAs and long RNAs. Moreover, it is now clear that up to 90% of eukaryotic genomes are transcribed, generating an extraordinary range of RNAs with no coding capacity. Taken together, these new discoveries are modifying the status quo in genomic science by demonstrating that the eukaryotic gene pool is divided into two distinct categories of transcripts: protein‐coding and non‐coding. The function of the majority of ncRNAs produced by the transcriptome is largely unknown; however, it is probable that many are associated with epigenetic mechanisms. The purpose of this review is to describe the most recent discoveries in the ncRNA field that implicate these molecules as key players in the epigenome.
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
Mapping 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
RNA-Seq: a revolutionary tool for transcriptomics
Wang, Z., Gerstein, M., & Snyder, M. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2484 · Cited by 13,174
Long non-coding RNAs: insights into functions
Mercer, T. R., Dinger, M. E., & Mattick, J. S. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2521 · Cited by 5,654
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Guttman, M., Amit, I., Garber, M., French, C., Lin, M. F., Feldser, D., Huarte, M., Zuk, O., Carey, B. W., Cassady, J. P., et al. (2009) · Nature · doi:10.1038/nature07672 · Cited by 4,098
Pan, Q., Shai, O., Lee, L. J., Frey, B. J., & Blencowe, B. J. (2008) · Nature Genetics · doi:10.1038/ng.259 · Cited by 3,951
The impact of microRNAs on protein output
Baek, D., Villén, J., Shin, C., Camargo, F. D., Gygi, S. P., & Bartel, D. P. (2008) · Nature · doi:10.1038/nature07242 · Cited by 3,592
Khalil, A. M., Guttman, M., Huarte, M., Garber, M., Raj, A., Rivea Morales, D., Thomas, K., Presser, A., Bernstein, B. E., van Oudenaarden, A., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904715106 · Cited by 2,872
A microRNA component of the p53 tumour suppressor network
He, L., He, X., Lim, L. P., de Stanchina, E., Xuan, Z., Liang, Y., Xue, W., Zender, L., Magnus, J., Ridzon, D., et al. (2007) · Nature · doi:10.1038/nature05939 · Cited by 2,692
Bernstein, B. E., Meissner, A., & Lander, E. S. (2007) · Cell · doi:10.1016/j.cell.2007.01.033 · Cited by 2,086
Cited by
Pal, S., & Tyler, J. K. (2016) · Science Advances · doi:10.1126/sciadv.1600584 · Cited by 860
Role of pyroptosis in inflammation and cancer
Wei, X., Xie, F., Zhou, X., Wu, Y., Yan, H., Liu, T., Huang, J., Wang, F., Zhou, F., & Zhang, L. (2022) · Cellular & Molecular Immunology · doi:10.1038/s41423-022-00905-x · Cited by 699
Neural tissue engineering options for peripheral nerve regeneration
Gu, X., Ding, F., & Williams, D. F. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2014.04.064 · Cited by 630
NEAT1 Long Noncoding RNA and Paraspeckle Bodies Modulate HIV-1 Posttranscriptional Expression
Zhang, Q., Chen, C.-Y., Yedavalli, V. S. R. K., & Jeang, K.-T. (2013) · mBio · doi:10.1128/mbio.00596-12 · Cited by 389
Costa, F. F. (2014) · Drug Discovery Today · doi:10.1016/j.drudis.2013.10.012 · Cited by 302
Self-citation
Metadata
- Authors
- Costa, F. F.
- Venue
- BioEssays
- Publisher
- Wiley
- Published
- 2010-06-28
- Volume
- 32
- Issue
- 7
- Pages
- 599-608
- ISSN
- 0265-9247 (ISSN-L)
- 1521-1878
- OpenAlex
- W1992741792
- Cited by
- 312
- References
- 14
- FWCI
- 1.63
- Type
- journal article
- Language
- en
- Open access
- closed
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: Non‐coding RNAs: Meet thy masters. https://app.cochat.ai/papers/10.1002/bies.200900112
- The paper
- Costa, F. F. (2010). Non‐coding RNAs: Meet thy masters. BioEssays. https://doi.org/10.1002/bies.200900112
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.
