The DOI matches its Crossref record; 133 of the 133 references it cites were found in a registry or an index.
Specificity and nonspecificity in RNA–protein interactions
Open accessAbstract
To fully understand the regulation of gene expression, it is critical to quantitatively define whether and how RNA-binding proteins (RBPs) discriminate between alternative binding sites in RNAs. Here, we describe new methods that measure protein binding to large numbers of RNA variants, and ways to analyse and interpret data obtained by these approaches, including affinity distributions and free energy landscapes. We discuss how the new methodologies and the associated concepts enable the development of inclusive, quantitative models for RNA–protein interactions that transcend the traditional binary classification of RBPs as either specific or nonspecific.
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
WebLogo: A Sequence Logo Generator: Figure 1
Crooks, G. E., Hon, G., Chandonia, J.-M., & Brenner, S. E. (2004) · Genome Research · doi:10.1101/gr.849004 · Cited by 12,386
Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq
Dominissini, D., Moshitch-Moshkovitz, S., Schwartz, S., Salmon-Divon, M., Ungar, L., Osenberg, S., Cesarkas, K., Jacob-Hirsch, J., Amariglio, N., Kupiec, M., et al. (2012) · Nature · doi:10.1038/nature11112 · Cited by 4,884
The multilayered complexity of ceRNA crosstalk and competition
Tay, Y., Rinn, J., & Pandolfi, P. P. (2014) · Nature · doi:10.1038/nature12986 · Cited by 3,910
Regulation of Translation Initiation in Eukaryotes: Mechanisms and Biological Targets
Sonenberg, N., & Hinnebusch, A. G. (2009) · Cell · doi:10.1016/j.cell.2009.01.042 · Cited by 3,304
Transcriptome-wide Identification of RNA-Binding Protein and MicroRNA Target Sites by PAR-CLIP
Hafner, M., Landthaler, M., Burger, L., Khorshid, M., Hausser, J., Berninger, P., Rothballer, A., Ascano, M., Jungkamp, A.-C., Munschauer, M., et al. (2010) · Cell · doi:10.1016/j.cell.2010.03.009 · Cited by 2,873
MEME: discovering and analyzing DNA and protein sequence motifs
Bailey, T. L., Williams, N., Misleh, C., & Li, W. W. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl198 · Cited by 2,670
The Spliceosome: Design Principles of a Dynamic RNP Machine
Wahl, M. C., Will, C. L., & Lührmann, R. (2009) · Cell · doi:10.1016/j.cell.2009.02.009 · Cited by 2,665
The Noncoding RNA Revolution—Trashing Old Rules to Forge New Ones
Cech, T. R., & Steitz, J. A. (2014) · Cell · doi:10.1016/j.cell.2014.03.008 · Cited by 2,524
Expansion of the eukaryotic proteome by alternative splicing
Nilsen, T. W., & Graveley, B. R. (2010) · Nature · doi:10.1038/nature08909 · Cited by 2,197
Cited by
A brave new world of RNA-binding proteins
Hentze, M. W., Castello, A., Schwarzl, T., & Preiss, T. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.130 · Cited by 1,821
RNA-Binding Proteins in Cancer: Old Players and New Actors
Pereira, B., Billaud, M., & Almeida, R. (2017) · Trends in Cancer · doi:10.1016/j.trecan.2017.05.003 · Cited by 773
RNA-binding proteins in tumor progression
Qin, H., Ni, H., Liu, Y., Yuan, Y., Xi, T., Li, X., & Zheng, L. (2020) · Journal of Hematology & Oncology · doi:10.1186/s13045-020-00927-w · Cited by 375
CLIP and complementary methods
Hafner, M., Katsantoni, M., Köster, T., Marks, J., Mukherjee, J., Staiger, D., Ule, J., & Zavolan, M. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00018-1 · Cited by 365
Cheng, J. X., Chen, L., Li, Y., Cloe, A., Yue, M., Wei, J., Watanabe, K. A., Shammo, J. M., Anastasi, J., Shen, Q. J., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03513-4 · Cited by 204
Metadata
- Authors
- Jankowsky, E., & Harris, M. E.
- Venue
- Nature Reviews Molecular Cell Biology
- Published
- 2015-08-19
- Volume
- 16
- Issue
- 9
- Pages
- 533-544
- ISSN
- 1471-0072 (ISSN-L)
- 1471-0080
- OpenAlex
- W1842452185
- Cited by
- 283
- References
- 133
- FWCI
- 1.71
- Type
- journal article
- Language
- en
- Open access
- green
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: Specificity and nonspecificity in RNA–protein interactions. https://app.cochat.ai/papers/10.1038/nrm4032
- The paper
- Jankowsky, E., & Harris, M. E. (2015). Specificity and nonspecificity in RNA–protein interactions. Nature Reviews Molecular Cell Biology. https://doi.org/10.1038/nrm4032
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.