The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Translation rate is controlled by coupled trade-offs between site accessibility, selective RNA unfolding and sliding at upstream standby sites
Open accessAbstract
The ribosome’s interactions with mRNA govern its translation rate and the effects of post-transcriptional regulation. Long, structured 5′ untranslated regions (5′ UTRs) are commonly found in bacterial mRNAs, though the physical mechanisms that determine how the ribosome binds these upstream regions remain poorly defined. Here, we systematically investigate the ribosome’s interactions with structured standby sites, upstream of Shine–Dalgarno sequences, and show that these interactions can modulate translation initiation rates by over 100-fold. We find that an mRNA’s translation initiation rate is controlled by the amount of single-stranded surface area, the partial unfolding of RNA structures to minimize the ribosome’s binding free energy penalty, the absence of cooperative binding and the potential for ribosomal sliding. We develop a biophysical model employing thermodynamic first principles and a four-parameter free energy model to accurately predict the ribosome’s translation initiation rates for 136 synthetic 5′ UTRs with large structures, diverse shapes and multiple standby site modules. The model predicts and experiments confirm that the ribosome can readily bind distant standby site modules that support high translation rates, providing a physical mechanism for observed context effects and long-range post-transcriptional regulation.
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
Mathews, D. H., Sabina, J., Zuker, M., & Turner, D. H. (1999) · Journal of Molecular Biology · doi:10.1006/jmbi.1999.2700 · Cited by 3,795
Xia, T., SantaLucia, J., Burkard, M. E., Kierzek, R., Schroeder, S. J., Jiao, X., Cox, C., & Turner, D. H. (1998) · Biochemistry · doi:10.1021/bi9809425 · Cited by 1,140
Crystal structures of complexes of the small ribosomal subunit with tetracycline, edeine and IF3
Pioletti, M., Schlünzen, F., Harms, J., Zarivach, R., Glühmann, M., Avila, H., Bashan, A., Bartels, H., Auerbach, T., Jacobi, C., et al. (2001) · The EMBO Journal · doi:10.1093/emboj/20.8.1829 · Cited by 527
Cited by
Principles of genetic circuit design
Brophy, J. A. N., & Voigt, C. A. (2014) · Nature Methods · doi:10.1038/nmeth.2926 · Cited by 931
An ingestible bacterial-electronic system to monitor gastrointestinal health
Mimee, M., Nadeau, P., Hayward, A., Carim, S., Flanagan, S., Jerger, L., Collins, J., McDonnell, S., Swartwout, R., Citorik, R. J., et al. (2018) · Science · doi:10.1126/science.aas9315 · Cited by 606
Automated physics-based design of synthetic riboswitches from diverse RNA aptamers
Espah Borujeni, A., Mishler, D. M., Wang, J., Huso, W., & Salis, H. M. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1289 · Cited by 264
Self-citationPervasive Regulatory Functions of mRNA Structure Revealed by High-Resolution SHAPE Probing
Mustoe, A. M., Busan, S., Rice, G. M., Hajdin, C. E., Peterson, B. K., Ruda, V. M., Kubica, N., Nutiu, R., Baryza, J. L., & Weeks, K. M. (2018) · Cell · doi:10.1016/j.cell.2018.02.034 · Cited by 258
Efficient search, mapping, and optimization of multi-protein genetic systems in diverse bacteria
Farasat, I., Kushwaha, M., Collens, J., Easterbrook, M., Guido, M., & Salis, H. M. (2014) · Molecular Systems Biology · doi:10.15252/msb.20134955 · Cited by 235
Self-citation
Metadata
- Authors
- Espah Borujeni, A., Channarasappa, A. S., & Salis, H. M.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-11-14
- Volume
- 42
- Issue
- 4
- Pages
- 2646-2659
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2123467717
- Cited by
- 440
- References
- 3
- FWCI
- 9.68
- 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: Translation rate is controlled by coupled trade-offs between site accessibility, selective RNA unfolding and sliding at upstream standby sites. https://app.cochat.ai/papers/10.1093/nar/gkt1139
- The paper
- Espah Borujeni, A., Channarasappa, A. S., & Salis, H. M. (2014). Translation rate is controlled by coupled trade-offs between site accessibility, selective RNA unfolding and sliding at upstream standby sites. Nucleic Acids Research. https://doi.org/10.1093/nar/gkt1139
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.