The DOI matches its Crossref record; 41 of the 43 references it cites were found in a registry or an index.
Codon Optimality Is a Major Determinant of mRNA Stability
Open accessAbstract
mRNA degradation represents a critical regulated step in gene expression. Although the major pathways in turnover have been identified, accounting for disparate half-lives has been elusive. We show that codon optimality is one feature that contributes greatly to mRNA stability. Genome-wide RNA decay analysis revealed that stable mRNAs are enriched in codons designated optimal, whereas unstable mRNAs contain predominately non-optimal codons. Substitution of optimal codons with synonymous, non-optimal codons results in dramatic mRNA destabilization, whereas the converse substitution significantly increases stability. Further, we demonstrate that codon optimality impacts ribosome translocation, connecting the processes of translation elongation and decay through codon optimality. Finally, we show that optimal codon content accounts for the similar stabilities observed in mRNAs encoding proteins with coordinated physiological function. This work demonstrates that codon optimization exists as a mechanism to finely tune levels of mRNAs and, ultimately, proteins.
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.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“These strategies have yielded modest improvements in RNA stability10, 13–16, and thus alternative approaches to RNA stabilization, such as circularization, are desirable.”
From Engineering circular RNA for potent and stable translation in eukaryotic cells (2018) · cites this paper as [15]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Furthermore, the rate of codon-dependent translation elongation has been a primary factor of mRNA stability, codon modification is critical for mRNA stability (Presnyak et al. 2015).”
From Modifications of mRNA vaccine structural elements for improving mRNA stability and translation efficiency (2022) · cites this paper as Presnyak et al. 2015
The cited source says what the claim attributes to it.
In the citing paper
“Furthermore, the rate of codon-dependent translation elongation has been a primary factor of mRNA stability, codon modification is critical for mRNA stability (Presnyak et al. 2015).”
From Modifications of mRNA vaccine structural elements for improving mRNA stability and translation efficiency (2022) · cites this paper as Presnyak et al. 2015
In the citing paper
“To improve the safety, efficacy, and stability of mRNA vaccines, researchers usually performed codon optimization172,239–243 on the antigen-coding sequence to enhance translation efficiency.”
From Advances in COVID-19 mRNA vaccine development (2022) · cites this paper as [240]
In the citing paper
“Codon optimization in the mRNA sequence to e.g., match host transfer (t)RNA abundances, or as a determinant of introducing secondary structures, can drastically impact the protein synthesis rate and ribosome dwell time (i.e. mRNA functional half-life) [33,34]”
From The dawn of mRNA vaccines: the COVID-19 case (2021) · cites this paper as [33]
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
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849 · cited 2×
“Alignment and Half-Life Calculation Reads were aligned to the S. cerevisiae reference genome using bowtie (Langmead et al., 2009), with the unaligned reads then aligned to the sequences of the controls in the same way.”
MethodTrapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556
Genome-Wide Analysis in Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling
Ingolia, N. T., Ghaemmaghami, S., Newman, J. R. S., & Weissman, J. S. (2009) · Science · doi:10.1126/science.1168978 · Cited by 3,853 · cited 1×
“Several ribosomal profiling studies have failed to detect codon-specific differences in the translation of optimal and non-optimal codons (Ingolia et al., 2009; Qian et al., 2012; Charneski and Hurst, 2013).”
BackgroundOpen source clustering software
de Hoon, M., Imoto, S., Nolan, J., & Miyano, S. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth078 · Cited by 3,047
Java Treeview—extensible visualization of microarray data
Saldanha, A. J. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth349 · Cited by 2,991
Gietz, R. D., & Sugino, A. (1988) · Gene · doi:10.1016/0378-1119(88)90185-0 · Cited by 2,851
Codon bias and heterologous protein expression
Gustafsson, C., Govindarajan, S., & Minshull, J. (2004) · Trends in Biotechnology · doi:10.1016/j.tibtech.2004.04.006 · Cited by 1,330 · cited 2×
“The overall result is not surprising, as codon bias has been well studied (Gustafsson et al., 2004); however, the pattern of codon usage demonstrates that certain classes of mRNAs predominately use either optimal or non-optimal codons (Figures 3A and 3B; overrepresented codons in yellow,…”
BackgroundMistranslation-Induced Protein Misfolding as a Dominant Constraint on Coding-Sequence Evolution
Drummond, D. A., & Wilke, C. O. (2008) · Cell · doi:10.1016/j.cell.2008.05.042 · Cited by 1,065 · cited 2×
“Critically, optimal codons are postulated to be decoded faster and more accurately by the ribosome than non-optimal codons (Akashi, 1994; Drummond and Wilke, 2008), which are hypothesized to slow translation elongation (Novoa and Ribas de Pouplana, 2012; Tuller et al., 2010).”
BackgroundAn evolutionarily conserved mechanism for controlling the efficiency of protein translation
Tuller, T., Carmi, A., Vestsigian, K., Navon, S., Dorfan, Y., Zaborske, J., Pan, T., Dahan, O., Furman, I., & Pilpel, Y. (2010) · Cell · doi:10.1016/j.cell.2010.03.031 · Cited by 874 · cited 1×
“Critically, optimal codons are postulated to be decoded faster and more accurately by the ribosome than non-optimal codons (Akashi, 1994; Drummond and Wilke, 2008), which are hypothesized to slow translation elongation (Novoa and Ribas de Pouplana, 2012; Tuller et al., 2010).”
Background
Flagged first, then by citations
2 of the 43 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 401–500 of 998
Deciphering the impact of coding and non-coding SCN1A gene variants on RNA splicing
Sparber, P. A., Sharova, M., Davydenko, K., Pyankov, D., Filatova, A. Y., & Skoblov, M. Y. (2023) · Brain · doi:10.1093/brain/awad383 · Cited by 19
UPF1 regulates mRNA stability by sensing poorly translated coding sequences
Musaev, D., Abdelmessih, M., Vejnar, C. E., Yartseva, V., Weiss, L. A., Strayer, E. C., Takacs, C. M., & Giráldez, A. J. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114074 · Cited by 19
“10 In the 3 0 UTRs, members of a conserved family of miRNAs (miR-430, miR-427, and miR-309 in zebrafish, 11 Xenopus , 12 and Drosophila , 13 respectively) are key players in targeting maternal mRNAs for decay.”
Translation elongation as a rate-limiting step of protein production
Lyons, E. F., Devanneaux, L., Muller, R. Y., Freitas, A. V., Meacham, Z. A., McSharry, M. V., Trinh, V. N., Rogers, A. J., Lobel, J. H., Ingolia, N. T., et al. (2026) · Cell Systems · doi:10.1016/j.cels.2025.101490 · Cited by 19
Genome-Wide Changes in Protein Translation Efficiency Are Associated with Autism
Rogozin, I. B., Gertz, E. M., Baranov, P. V., Poliakov, E., & Schäffer, A. A. (2018) · Genome Biology and Evolution · doi:10.1093/gbe/evy146 · Cited by 20
The central role of transfer RNAs in mistranslation
Schuntermann, D. B., Jaskółowski, M., Reynolds, N. M., & Vargas‐Rodriguez, O. (2024) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2024.107679 · Cited by 17
Exploring the immuno-nano nexus: A paradigm shift in tumor vaccines
Li, Y., Xu, Y., Su, W., Xu, J., Ye, Z., Wang, Z., Liu, Q., & Chen, F. (2025) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2025.117897 · Cited by 18
Decoding subcellular RNA localization one molecule at a time
Biayna, J., & Dumbović, G. (2025) · Genome Biology · doi:10.1186/s13059-025-03507-8 · Cited by 14
“Codon optimality also affects RNA stability; transcripts with optimal codon sequences have faster translation elongation and longer half-lives, whereas those with suboptimal codons have slower translation rates and are more rapidly degraded [142–145].”
In Vivo Engineered CAR-T Cell Therapy: Lessons Built from COVID-19 mRNA Vaccines
Meng, S., Hara, T., Miura, Y., Arao, Y., Saito, Y., Inoue, K., Hirotsu, T., Vecchione, A. M., Satoh, T., & Ishii, H. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26073119 · Cited by 23
“By replacing rare codons in foreign genes with codons preferred by the host cell, researchers can enhance ribosomal recognition and increase translation efficiency [37].”
Weiner, I. N., Feldman, Y., Shahar, N., Yacoby, I., & Tuller, T. (2020) · Algal Research · doi:10.1016/j.algal.2019.101788 · Cited by 18
Ribo-Pop: simple, cost-effective, and widely applicable ribosomal RNA depletion
Thompson, M. K., Kiourlappou, M., & Davis, I. (2020) · RNA · doi:10.1261/rna.076562.120 · Cited by 17
“2 body of the RNA can lead to qualitatively different conclusions (Weinberg et al. 2016; Presnyak et al. 2015).”
BackgroundRashad, S., Byrne, S. R., Saigusa, D., Xiang, J., Zhou, Y., Zhang, L., Begley, T. J., Tominaga, T., & Niizuma, K. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.08.009 · Cited by 18
Vijjamarri, A. K., Niu, X. M., Vandermeulen, M. D., Onu, C., Zhang, F., Qiu, H., Gupta, N., Gaikwad, S., Greenberg, M. L., Cullen, P. J., et al. (2023) · eLife · doi:10.7554/elife.85545 · Cited by 18
“Evidence indicates that non-optimal codons, which are decoded by ribosomes more slowly than optimal codons, accelerate mRNA decay co-translationally ( Hu et al., 2009 ; Presnyak et al., 2015 ).”
Pervasive translation of Xrn1-sensitive unstable long non-coding RNAs in yeast
Andjus, S., Szachnowski, U., Vogt, N., Gioftsidi, S., Hatin, I., Cornu, D., Papadopoulos, C., Lopes, A., Namy, O., Wéry, M., et al. (2024) · RNA · doi:10.1261/rna.079903.123 · Cited by 18
Impact of RNA Modifications and RNA-Modifying Enzymes on Eukaryotic Ribonucleases
Chanfreau, G. (2017) · The Enzymes · doi:10.1016/bs.enz.2017.03.008 · Cited by 18
New insights into the factors affecting synonymous codon usage in human infecting Plasmodium species
Gajbhiye, S., Patra, P. K., & Yadav, M. K. (2017) · Acta Tropica · doi:10.1016/j.actatropica.2017.07.025 · Cited by 17
Synonymous genome recoding: a tool to explore microbial biology and new therapeutic strategies
Martı́nez, M. Á., Jordan-Paiz, A., Franco, S., & Nevot, M. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz831 · Cited by 18
“Synonymous codon mutations can impact many molecular phenotypes, including transcription modifications (5,6), translation initiation (7–9), translation elongation (10,11), translation accuracy (12,13), RNA stability (14), RNA structure and folding (8,15), RNA splicing (16,17), RNA toxicity (18) and cotranslational fol…”
BackgroundTemperature-dependent regulation of upstream open reading frame translation in S. cerevisiae
Kulkarni, S. D., Zhou, F., Sen, N. D., Zhang, H., Hinnebusch, A. G., & Lorsch, J. R. (2019) · BMC Biology · doi:10.1186/s12915-019-0718-5 · Cited by 17
“8a–f more often than it decreases regardless of the direction of ΔTEuORF is unclear, although it is possible that mRNAs whose main ORF translation decreases (negative ΔTEmORF) are more likely to be degraded due to the coupling between active translation and mRNA stability [43, 44] and thus less likely to appear in the…”
BackgroundSynonymous variants in holoprosencephaly alter codon usage and impact the Sonic Hedgehog protein
Kim, A., Douce, J. L., Diab, F., Ferovova, M., Dubourg, C., Odent, S., Dupé, V., David, V., Diambra, L. A., Watrin, E., et al. (2020) · Brain · doi:10.1093/brain/awaa152 · Cited by 19
Seymour, B., Singh, S., Certo, H. M., Sommer, K., Sather, B., Khim, S., Clough, C. A., Hale, M., Pangallo, J., Ryu, B., et al. (2021) · Molecular Therapy: Methods & Clinical Development · doi:10.1016/j.omtm.2021.01.007 · Cited by 18
“protein folding,(64) and codon usage also impacts mRNA stability.(90) For tightly regulated proteins, codon optimization may alter the safety and efficacy of protein expression;(63) selection of a codon-optimized cDNA should therefore be closely evaluated when designing a gene therapy vector.”
BackgroundLiu, K., Ouyang, Y., Lin, R. X., Ge, C., & Zhou, M. (2021) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2021.11.001 · Cited by 18
Emerging Mechanisms of Human Mitochondrial Translation Regulation
Brischigliaro, M., Ahn, A., Hong, S.-W., Fontanesi, F., & Barrientos, A. (2025) · TIBS -Trends in Biochemical Sciences. Regular ed · doi:10.1016/j.tibs.2025.03.007 · Cited by 19
The quantitative impact of 3′UTRs on gene expression
West, J. D., Smith, H. J., Vu, L. T., Fogarty, E. A., Matreyek, K. A., Fowler, D. M., & Grimson, A. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf568 · Cited by 18
“Tran-scriptomic profiling of endogenous transcripts can identify post-transcriptional regulation, but it is difficult to ascribe such regulation directly to the 3 (cid:2) UTR, as the 5 (cid:2) UTR and coding region also influence post-transcriptional regulation [ 31– 33 ].”
mRNA Vaccines: Current Applications and Future Directions
Li, J., Liu, Y., Dai, J., Li, Y., Xiong, F., Xia, J., Jin, J., Wu, Y., & Peng, X. (2025) · MedComm · doi:10.1002/mco2.70434 · Cited by 27
Palacios, A., Canto, P., Tejeda, M. E., Stephano, S., Luján, H., García‐García, E., Rojano‐Mejía, D., & Méndez, J. P. (2018) · European Psychiatry · doi:10.1016/j.eurpsy.2018.07.010 · Cited by 17
Ribosome-bound Upf1 forms distinct 80S complexes and conducts mRNA surveillance
Ganesan, R., Mangkalaphiban, K., Baker, R., He, F., & Jacobson, A. (2022) · RNA · doi:10.1261/rna.079416.122 · Cited by 17
“Previous studies (Presnyak et al. 2015; Radhakrishnan et al. 2016) showed that mRNAs targeted for decay tend to have a high number of nonoptimal codons, with corresponding decoding tRNAs that are low in abundance leading to slow elongation.”
BackgroundNascent MSKIK peptide cancels ribosomal stalling by arrest peptides in Escherichia coli
Ojima‐Kato, T., Nishikawa, Y., Furukawa, Y., Kojima, T., & Nakano, H. (2023) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2023.104676 · Cited by 18
Vijjamarri, A. K., Gupta, N., Onu, C., Niu, X. M., Zhang, F., Kumar, R., Lin, Z., Greenberg, M. L., & Hinnebusch, A. G. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad584 · Cited by 17
Lai, C., Kim, D.-K., Kang, S., Li, K., Cha, I., Sasaki, A., Porras, J., Xia, T., & Jung, J. U. (2023) · Journal of Medical Virology · doi:10.1002/jmv.29183 · Cited by 17
“9,20 Additionally, codon usage patterns observed from herpes-viruses glycoproteins have been reported to dictate a specific interaction with each virus ’ trans ‐ inducer to regulate mRNA processing.”
BackgroundSingle-cell kinetics of siRNA-mediated mRNA degradation
Krzysztoń, R., Woschée, D., Reiser, A., Schwake, G., Strey, H. H., & Rädler, J. O. (2019) · Nanomedicine Nanotechnology Biology and Medicine · doi:10.1016/j.nano.2019.102077 · Cited by 20
Frumkin, I., Yofe, I., Bar‐Ziv, R., Gurvich, Y., Lu, Y.-Y., Voichek, Y., Towers, R., Schirman, D., Krebber, H., & Pilpel, Y. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000423 · Cited by 16
Smekalova, E. M., Gerashchenko, M. V., O’Connor, P. B. F., Whittaker, C. A., Kauffman, K. J., Fefilova, A. S., Zatsepin, T. S., Bogorad, R. L., Baranov, P. V., Langer, R., et al. (2019) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2019.11.009 · Cited by 17
“increasingly clear, at least in yeast, in recent years.(56,57) It is also possible that the reduced eIF3m level causes mostly a general effect on translation of all mRNAs in the cells, which is not specific to particular mRNAs (except for the discussed genes).”
BackgroundCodon Harmonization of a Kir3.1-KirBac1.3 Chimera for Structural Study Optimization
van Aalst, E. J., Yekefallah, M., Mehta, A. K., Eason, I. R., & Wylie, B. J. (2020) · Biomolecules · doi:10.3390/biom10030430 · Cited by 20
“It has previously been shown that codon usage plays a role in steady-state mRNA concentration, and that substitution of rare codons into a coding sequence negatively impacts mRNA stability [69,70].”
BackgroundΦX174 Attenuation by Whole-Genome Codon Deoptimization
Leuven, J. T. V., Ederer, M. M., Burleigh, K., Scott, L., Hughes, R. A., Codrea, V., Ellington, A. D., Wichman, H. A., & Miller, C. R. (2020) · Genome Biology and Evolution · doi:10.1093/gbe/evaa214 · Cited by 15
Mutation Spectra of the MRN (MRE11, RAD50, NBS1/NBN) Break Sensor in Cancer Cells
McPherson, M. T., Holub, A. S., Husbands, A. Y., & Petreaca, R. C. (2020) · Cancers · doi:10.3390/cancers12123794 · Cited by 19
“The significance of synonymous mutations is debatable, but studies suggest that they may affect mRNA stability and therefore could lead to changes in gene expression [66,105].”
BackgroundHashimoto, S., Nobuta, R., Izawa, T., & Inada, T. (2019) · FEBS Letters · doi:10.1002/1873-3468.13362 · Cited by 17
Komar, A. A. (2019) · Molecular Biology · doi:10.1134/s0026898419060090 · Cited by 20
Hu, T., Wang, Y., Wang, Y., Cui, H., Zhang, J., Chen, H., Wu, B., Hao, S., Chu, C. C., Wu, Y., et al. (2024) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2024.109841 · Cited by 16
Better, Faster, Stronger: Accelerating mRNA ‐Based Immunotherapies With Nanocarriers
Carvalho, H., Fidalgo, T. A. S., Acúrcio, R. C., Matos, A. I., Satchi‐Fainaro, R., & Florindo, H. F. (2024) · Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology · doi:10.1002/wnan.2017 · Cited by 16
Extracellular vesicle-mediated plant miRNA trafficking regulates viral infection in insect vector
Wang, Q., Lu, H., Fan, X., Zhu, J., Shi, J., Zhao, W., Xiao, Y. C., Xu, Y., Chen, J., & Cui, F. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115635 · Cited by 17
Specific codons control cellular resources and fitness
Love, A. M., & Nair, N. U. (2024) · Science Advances · doi:10.1126/sciadv.adk3485 · Cited by 15
Unveiling RNA structure-mediated regulations of RNA stability in wheat
Wu, H., Yu, H., Zhang, Y., Yang, B., Sun, W., Ren, L., Li, Y., Li, Q., Liu, B., Ding, Y., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-54172-7 · Cited by 17
Messenger RNA as a Novel Therapeutic Approach
Stanton, M. G., & Murphy-Benenato, K. E. (2017) · Topics in medicinal chemistry · doi:10.1007/7355_2016_30 · Cited by 16
Hochmann, S., Mittermeir, M., Santic, R., Koszik, F., Griessner, L., Sonderegger, A., Hoffmann, T., Russe, E., Scheiblhofer, S., Weiss, R., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-31061-w · Cited by 15
Tourigny, J. P., Schumacher, K., Saleh, M. M., Devys, D., & Zentner, G. E. (2021) · Genetics · doi:10.1093/genetics/iyaa042 · Cited by 16
Altering Compositional Properties of Viral Genomes to Design Live-Attenuated Vaccines
Pereira-Gómez, M., Carrau, L., Fajardo, Á., Moreno, P., & Moratorio, G. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.676582 · Cited by 17
“The preference for different codons has significant effects on mRNA stability (Presnyak et al., 2015), translation efficiency and accuracy (Gingold and Pilpel, 2011), and protein folding (Zhang et al.”
BackgroundChuckran, P. F., Estera‐Molina, K., Nicolas, A. M., Sieradzki, E. T., Dijkstra, P., Firestone, M. K., Pett‐Ridge, J., & Blazewicz, S. J. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2413032122 · Cited by 15
Modulation of Aging Diseases via RAGE Targets: A Dietary Intervention Review
Wu, Q., Yan, J., Zhang, Y., Ming, X., Chen, S., Zou, Z., Feng, N., & Xiao, J. (2025) · Advanced Science · doi:10.1002/advs.202510242 · Cited by 16
Structural, functional, and immunogenicity implications of F9 gene recoding
Katneni, U., Alexaki, A., Hunt, R., Hamasaki‐Katagiri, N., Hettiarachchi, G. K., Kames, J. M., McGill, J. R., Holcomb, D. D., Athey, J. C., Lin, B., et al. (2022) · Blood Advances · doi:10.1182/bloodadvances.2022007094 · Cited by 15
Possible involvement of silent mutations in cancer pathogenesis and evolution
Kikutake, C., & Suyama, M. (2023) · Scientific Reports · doi:10.1038/s41598-023-34452-w · Cited by 18
Hao, J., Liang, Y., Wang, T., & Su, Y. (2025) · BMC Plant Biology · doi:10.1186/s12870-025-06157-x · Cited by 15
The Art of Gene Redesign and Recombinant Protein Production: Approaches and Perspectives
Komar, A. A. (2016) · Topics in medicinal chemistry · doi:10.1007/7355_2016_2 · Cited by 16
Codon bias among synonymous rare variants is associated with Alzheimer’s disease imaging biomarker
Miller, J. E., Shivakumar, M., Risacher, S. L., Saykin, A. J., Lee, S., Nho, K. T., Kim, D., & Initiative, A. D. N. (2017) · Pacific Symposium on Biocomputing (PSB) · doi:10.1142/9789813235533_0034 · Cited by 16
Inosine RNA modifications are enriched at the codon wobble position in mouse oocytes and eggs†
Brachova, P., Alvarez, N. S., Hong, X., Gunewardena, S., Vincent, K. A., Latham, K. E., & Christenson, L. K. (2019) · Biology of Reproduction · doi:10.1093/biolre/ioz130 · Cited by 18
“Synonymous changes are known to affect RNA transcript stability as well as translational efficiency, because of tRNA availability and codon usage [63,64].”
BackgroundVariability in mRNA translation: a random matrix theory approach
Michael Margaliot, A., Huleihel, W., & Tuller, T. (2021) · Scientific Reports · doi:10.1038/s41598-021-84738-0 · Cited by 16
Guzikowski, A. R., Harvey, A. T., Zhang, J., Zhu, S., Begovich, K., Cohn, M. H., Wilhelm, J. E., & Zid, B. M. (2022) · RNA Biology · doi:10.1080/15476286.2022.2065784 · Cited by 15
Probing instructions for expression regulation in gene nucleotide compositions
Bessière, C., Taha, M., Petitprez, F., Vandel, J., Marin, J., Bréhélin, L., Lèbre, S., & Lecellier, C. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005921 · Cited by 16
Synonymous Codon Usage—a Guide for Co-Translational Protein Folding in the Cell
Komar, A. A. (2019) · Molecular Biology · doi:10.1134/s0026893319060098 · Cited by 16
Advances in RNA therapeutics: Classes, innovations and clinical applications
Shahid, U. (2025) · The Journal of Precision Medicine Health and Disease · doi:10.1016/j.premed.2025.100016 · Cited by 18
Mitotic checkpoint gene expression is tuned by codon usage bias
Esposito, E., Weidemann, D. E., Rogers, J. M., Morton, C. M., Baybay, E. K., Chen, J., & Hauf, S. (2022) · The EMBO Journal · doi:10.15252/embj.2021107896 · Cited by 13
The High Mutational Sensitivity of ccdA Antitoxin Is Linked to Codon Optimality
Chandra, S., Gupta, K., Khare, S., Kohli, P., Asok, A., Mohan, S. V., Gowda, H., & Varadarajan, R. (2022) · Molecular Biology and Evolution · doi:10.1093/molbev/msac187 · Cited by 15
Lackner, M., Helmbrecht, N., Pääbo, S., & Riesenberg, S. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkac1254 · Cited by 16
Liu, X., Sun, M., Gao, X., Ledesma‐Amaro, R., Fang, Q., Yang, Y., & Bai, Z. (2023) · ACS Synthetic Biology · doi:10.1021/acssynbio.3c00246 · Cited by 14
“36,37 Despite the differences in protein expression levels, the ranking of expression intensity for the three BCDs remained consistent across all three proteins, with HP-7 showing the highest expression intensity, followed by HP-12 and then HP-6.”
Golombek, S., Hoffmann, T., Hann, L., Mandler, M., Schmidhuber, S. M., Weber, M., Chang, Y., Mehling, R., Ladinig, A., Knecht, C., et al. (2023) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2023.07.035 · Cited by 14
Wang, Q., & Mao, Y. (2023) · Advanced Biotechnology · doi:10.1007/s44307-023-00006-4 · Cited by 15
“The resulting rhythm of translation elongation is critical for co-translational protein folding (Zhou et al. 2013; Yu et al. 2015) and mRNA stability (Presnyak et al. 2015; Hanson and Coller 2018).”
BackgroundZhang, S., Lin, R. X., Cui, L., Jiang, T., Shi, J., Lu, C., Li, P., & Zhou, M. (2024) · Microbiological Research · doi:10.1016/j.micres.2024.127629 · Cited by 16
DERNA Enables Pareto Optimal RNA Design
Gu, X., Qi, Y., & El-Kebir, M. (2024) · Journal of Computational Biology · doi:10.1089/cmb.2023.0283 · Cited by 14
“First, a subset of ‘‘optimal’’ codons occur at a higher frequency in highly expressed genes (Gustafsson et al., 2004) and ‘‘nonoptimal’’ codons lead to increased ribosomal pausing and decreased mRNA half-life (Presnyak et al., 2015; Weinberg et al., 2016).”
Luzak, V., Osses, E., Danese, A., Odendaal, C., Cosentino, R. O., Stricker, S. H., Haanstra, J. R., Erhard, F., & Siegel, T. N. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae1203 · Cited by 15
“In addition to sequence motifs in the UTRs, codon usage in the protein coding sequence (CDS) of an mRNA influences its stability by controlling translation efficiency and ribosome occupancy of a transcript ( 22–24 ).”
mRNA stability fine-tunes gene expression in the developing cortex to control neurogenesis
Serdar, L. D., Egol, J. R., Lackford, B., Bennett, B. D., Hu, G., & Silver, D. L. (2025) · PLOS Biology · doi:10.1371/journal.pbio.3003031 · Cited by 14
Pathway Design, Engineering, and Optimization
Garcia‐Ruiz, E., HamediRad, M., & Zhao, H. (2016) · Advances in biochemical engineering, biotechnology · doi:10.1007/10_2016_12 · Cited by 14
“It is suggested that optimal codons improved the mRNA stability [97].”
Tajima, K., Katoh, T., & Suga, H. (2018) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2018.07.010 · Cited by 14
Mutations matter even if proteins stay the same
Sharp, N. P. (2022) · Nature · doi:10.1038/d41586-022-01091-6 · Cited by 15
Tailing Off: PABP and CNOT Generate Cycles of mRNA Deadenylation
Bresson, S. M., & Tollervey, D. W. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.06.009 · Cited by 14
Fornasiero, E. F., & Rizzoli, S. O. (2019) · BMC Genomics · doi:10.1186/s12864-019-5921-9 · Cited by 15
Comparative analysis of protein synthesis rate in COVID-19 with other human coronaviruses
Dasari, C. M., & Bhukya, R. (2020) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2020.104432 · Cited by 14
Specific recognition and ubiquitination of slow-moving ribosomes by human CCR4-NOTPreprint
Absmeier, E., Chandrasekaran, V., O’Reilly, F. J., Stowell, J. A. W., Rappsilber, J., & Passmore, L. A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.24.501325 · Cited by 14
Advances and Strategies in Enhancing mRNA Cancer Vaccines
Zhang, M., Chen, S., Hu, H.-J., Ong, Y., & Ni, Q. (2025) · Advanced Materials · doi:10.1002/adma.202509880 · Cited by 16
Faucillion, M.-L., Johansson, A., & Larsson, J. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac208 · Cited by 13
Making sense of mRNA translational “noise”
Mao, Y., & Qian, S. (2023) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2023.03.004 · Cited by 15
“Emerging evidence suggests that the codon optimality is another determinant of mRNA stability [130].”
BackgroundTranslation efficiency driven by CNOT3 subunit of the CCR4-NOT complex promotes leukemogenesis
Ghashghaei, M., Liu, Y., Ettles, J., Bombaci, G., Ramkumar, N., Liu, Z., Escano, L., Miko, S. E. S., Kim, Y., Waldron, J. A., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46665-2 · Cited by 13
Zaytsev, K., Bogatyreva, N. S., & Fedorov, A. N. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252111622 · Cited by 13
“One of the most significant factors affecting protein expression is the frequency of synonymous codon usage [1,37–40].”
BackgroundRegulating Immune Responses Induced by PEGylated Messenger RNA–Lipid Nanoparticle Vaccine
Jo, H., Jeoung, J., Kim, W., & Jeoung, D. (2024) · Vaccines · doi:10.3390/vaccines13010014 · Cited by 17
Kallestad, L., Blackshaw, S., Khalil, A. M., & Palczewski, K. (2019) · Scientific Reports · doi:10.1038/s41598-019-51379-3 · Cited by 13
Expression of transgenes enriched in rare codons is enhanced by the MAPK pathway
Peterson, J. J., Li, S., Kaltenbrun, E., Roux, Ö. L., & Counter, C. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-78453-5 · Cited by 12
Analysis of codon usage of Horseshoe Bat Hepatitis B virus and its host
Deb, B., Uddin, A., & Chakraborty, S. (2021) · Virology · doi:10.1016/j.virol.2021.05.008 · Cited by 14
Smith, T. J., Tardu, M., Khatri, H. R., & Koutmou, K. S. (2022) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2022.102039 · Cited by 13
Huch, S., Müller, M., Muppavarapu, M., Gommlich, J., Balagopal, V., & Nissan, T. A. (2016) · Biology Open · doi:10.1242/bio.020487 · Cited by 13
“Finally, deadenylated mRNAs have much longer halflives than poly(A)+ mRNAs, thus suggesting that the longest portion of their lifespan is P body associated (Presnyak et al., 2015).”
BackgroundSimultaneous Measurement of Transcriptional and Post-transcriptional Parameters by 3′ End RNA-Seq
Schmid, M., Tudek, A., & Jensen, T. H. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.07.104 · Cited by 13
“(C) Spearman rank correlation (rho) matrix of DR estimates for mRNAs for which finite DR estimates exist in all depicted datasets (n = 2,528) from (A) and (B) and compared to published DR estimates from rpb1-1 chase experiments using total RNA (Presnyak et al., 2015), 4tU-based methods (dynamic transcriptome analysis…”
Natural tuning of restriction endonuclease synthesis by cluster of rare arginine codons
Mruk, I., Kaczorowski, T., & Witczak, A. (2019) · Scientific Reports · doi:10.1038/s41598-019-42311-w · Cited by 13
Inferring Potential Cancer Driving Synonymous Variants
Zeng, Z., & Bromberg, Y. (2022) · Genes · doi:10.3390/genes13050778 · Cited by 14
The effects of mutations on gene expression and alternative splicing
Snyman, M., & Xu, S. (2023) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2023.0565 · Cited by 13
“Low-impact variants including synonymous variants have also been shown to influence gene expression by disrupting transcription and splicing, as well as mRNA stability (Pagani et al. 2005, Presnyak et al. 2015, Stergachis et al. 2013, Wang et al. 2021).”
BackgroundSchlafen14 Impairs HIV-1 Expression in a Codon Usage-Dependent Manner
Valenzuela, C. A., Saucedo, S., & Llano, M. (2024) · Viruses · doi:10.3390/v16040502 · Cited by 14
Poly(A) tale: From A to A; RNA polyadenylation in prokaryotes and eukaryotes
Mofayezi, A., Jadaliha, M., Zangeneh, F., & Khoddami, V. (2024) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1837 · Cited by 12
“Codon optimality is classically defined as the availability of required tRNAs among the cellular pool of total tRNAs (Hanson & Coller, 2018; Presnyak et al., 2015).”
BackgroundLoss of Cnot6l Impairs Inosine RNA Modifications in Mouse Oocytes
Brachova, P., Alvarez, N. S., & Christenson, L. K. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22031191 · Cited by 12
Impact of Synonymous Genome Recoding on the HIV Life Cycle
Jordan-Paiz, A., Franco, S., & Martı́nez, M. Á. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.606087 · Cited by 12
“, 2016), translation accuracy (Akashi, 1994; Drummond and Wilke, 2008), RNA stability (Presnyak et al., 2015), RNA structure and folding (Shabalina et al.”
BackgroundZhu, Y., Sarıbaş, A. S., Liu, J., Lin, Y., Bodnar, B. H., Zhao, R., Guo, Q., Ting, J., Wei, Z., Ellis, A., et al. (2023) · Molecular Therapy · doi:10.1016/j.ymthe.2023.02.012 · Cited by 12
Discrepancy among the synonymous codons with respect to their selection as optimal codon in bacteria
Satapathy, S. S., Powdel, B. R., Buragohain, A. K., & Ray, S. K. (2016) · DNA Research · doi:10.1093/dnares/dsw027 · Cited by 12
Regulation of cytoplasmic RNA stability: Lessons from Drosophila
Towler, B. P., & Newbury, S. F. (2018) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1499 · Cited by 12
Zebrafish embryogenesis – A framework to study regulatory RNA elements in development and disease
Zaucker, A., Kumari, P., & Sampath, K. (2019) · Developmental Biology · doi:10.1016/j.ydbio.2019.01.008 · Cited by 13
van den Elzen, A. M. G., Watson, M. J., & Thoreen, C. C. (2022) · PLoS Genetics · doi:10.1371/journal.pgen.1010532 · Cited by 11
Ghoneim, D. H., Zhang, X., Brule, C. E., Mathews, D. H., & Grayhack, E. J. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1262 · Cited by 12
“Similarly, it has been established that mRNA half-lives are generally correlated with codon usage (65) and that even faster mRNA decay is associated with ICPs (66); we found that the mean, and median mRNA half-life of genes with ICPcons were reduced, compared to that of the other gene sets (Table 1).”
Metadata
- Authors
- Presnyak, V., Alhusaini, N., Chen, Y.-H., Martin, S., Morris, N., Kline, N., Olson, S., Weinberg, D., Baker, K. E., Graveley, B. R., & Coller, J.
- Affiliations
- Case Western Reserve University (US)
- UConn Health (US)
- University of California, San Francisco (US)
- Corresponding author
- Coller, Jeff
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 160
- Issue
- 6
- Pages
- 1111-1124
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4359748
- OpenAlex
- W2013321787
- Cited by
- 1,078
- References
- 43
- Citations by year
- 2026: 94 · 2025: 139 · 2024: 122 · 2023: 115 · 2022: 77 · 2021: 127 · 2020: 93 · 2019: 70 · 2018: 96 · 2017: 68 · 2016: 57 · 2015: 20
- FWCI
- 34.90
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (GM080465, GM095621)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA modifications and cancer
- Keywords
- codon optimality, mRNA stability, mRNA degradation, codon usage bias, synonymous codons, ribosome translocation, translation elongation, gene expression regulation, mRNA half-life
- MeSH terms
- Codon, RNA, Fungal, RNA, Messenger, Saccharomyces cerevisiae, Protein Biosynthesis, RNA Stability
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