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 601–700 of 998
Quantification of elongation stalls and impact on gene expression in yeast
Hou, W.-F., Harjono, V., Harvey, A. T., Subramaniam, A. R., & Zid, B. M. (2023) · RNA: A publication of the RNA Society · doi:10.1261/rna.079663.123 · Cited by 6
Codon usage bias of human papillomavirus type 33 and 58: A comprehensive analysis
Tan, X., Xie, Y., Jiang, C., Li, H., Lu, Y., Shen, W., & Chen, J. (2024) · Journal of Basic Microbiology · doi:10.1002/jobm.202300636 · Cited by 7
“Another effective attenuation strategy involves recoding the virus using uncommon host codons to lower translation rates and protein production [27].”
BackgroundComparative Analysis of Codon Usage Bias in Six Eimeria Genomes
Zhao, Y. J., & Zhang, S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25158398 · Cited by 7
“The development of CUB is influenced by the interplay between translational selection and mutation pressure [15,16].”
BackgroundProtein folding and quality control during nuclear transport
Mallik, S., Poch, D., Burick, S., & Schlieker, C. D. (2024) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2024.102407 · Cited by 7
Ghadanian, T., Iyer, S., Lazzari, L., & Vera, M. (2025) · Molecular Biology of the Cell · doi:10.1091/mbc.e24-12-0564 · Cited by 10
“These features govern the rate of ribosome elongation and play a key role in the Ribosome Quality Control (RQC) system, which can halt translation and promote mRNA decay (Varenne et al. , 1984, 1989; Presnyak et al. , 2015).”
Sanguinetti, M., Iriarte, A., Amillis, S., Marı́n, M., Musto, H., & Ramón, A. (2019) · Royal Society Open Science · doi:10.1098/rsos.190773 · Cited by 6
Combinatorial regulation of gene expression by uORFs and microRNAs in Drosophila
Zhang, H., Wang, Y., Tang, X., Dou, S., Sun, Y., Zhang, Q., & Lü, J. (2020) · 中国科学通报:英文版 · doi:10.1016/j.scib.2020.10.012 · Cited by 7
Zhang, Z., Guo, F., Roy, A., Yang, J., Luo, W., Shen, X., Irwin, D. M., Chen, R., & Shen, Y. (2021) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2021.105067 · Cited by 7
Evolutionary dynamics of codon usages for peste des petits ruminants virus
Wang, X., Sun, J., Lü, L., Pu, F., Zhang, D., & Xie, F. (2022) · Frontiers in Veterinary Science · doi:10.3389/fvets.2022.968034 · Cited by 7
microRNAs slow translating ribosomes to prevent protein misfolding in eukaryotes
Sako, H., Youssef, M., Elisseeva, O. A., Akimoto, T., Suzuki, K., Ushida, T., & Yamamoto, T. S. (2023) · The EMBO Journal · doi:10.15252/embj.2022112469 · Cited by 8
“However, accumulation of non-optimal codons decelerates translating ribosomes and has critical roles in mRNA stability (Presnyak et al , 2015; Mishima & Tomari, 2016) and co-translational folding (Kim et al , 2015).”
Quantifying negative selection on synonymous variants
Gudkov, M., Thibaut, L. M., & Giannoulatou, E. (2024) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2024.100262 · Cited by 8
“In contrast, metrics like the tRNA adaptivity index (tAI 18,19 ) and codon stability coefficient (CSC 20 ) each focus on different processes that synonymous codons are involved in and provide the basis for grouping codons based on their functional optimality.”
BackgroundMethodRole of codon usage and tRNA changes in rat cytomegalovirus latency and (re)activation
Kanduc, D. (2016) · Journal of Basic Microbiology · doi:10.1002/jobm.201500621 · Cited by 7
Fluorescence lifetime probes for detection of RNA degradation
Hirata, R., Hirakawa, K., Naotaka, S., Watanabe, K., & Ohtsuki, T. (2020) · The Analyst · doi:10.1039/d0an01230k · Cited by 7
Characterization of tRNA expression profiles in large offspring syndrome
Goldkamp, A. K., Li, Y., Rivera, R. M., & Hagen, D. E. (2022) · BMC Genomics · doi:10.1186/s12864-022-08496-7 · Cited by 7
Deubiquitinase OTUD1 Resolves Stalled Translation on polyA and Rare Codon Rich mRNAs
Šnaurová, R., Vdovin, A., Ďurech, M., Nezval, J., Žihala, D., Jelı́nek, T., Hájek, R., & Šimíček, M. (2022) · Molecular and Cellular Biology · doi:10.1128/mcb.00265-22 · Cited by 7
Comprehensive analysis of mRNA internal cleavage sites in Arabidopsis thaliana
Ueno, D., Yamasaki, S., Demura, T., & Kato, K. (2018) · Journal of Bioscience and Bioengineering · doi:10.1016/j.jbiosc.2017.12.022 · Cited by 7
Poor codon optimality as a signal to degrade transcripts with frameshifts
Schikora-Tamarit, M. À., & Carey, L. B. (2018) · Transcription · doi:10.1080/21541264.2018.1511676 · Cited by 7
Thermosensitivity of translation underlies the mammalian nocturnal-diurnal switchPreprint
Beale, A. D., Rzechorzek, N. M., Mihut, A., Zeng, A., Smyllie, N. J., Pilorz, V., Richardson, R., Bertlesen, M. F., James, N. R., Fazal, S. V., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.22.546020 · Cited by 7
Development of a Streptomyces-based system for facile thioholgamide library generation and analysis
Lopatniuk, M., Riedel, F., Wildfeuer, J., Stierhof, M., Dahlem, C., Kiemer, A. K., & Luzhetskyy, A. N. (2023) · Metabolic Engineering · doi:10.1016/j.ymben.2023.04.015 · Cited by 6
Codon usage and antibiotic resistance: A hidden evolutionary mechanism
Dahal, U., & Bansal, A. (2025) · Biochimie · doi:10.1016/j.biochi.2025.07.027 · Cited by 6
Beyond the Sequence: Chemical and Topological Design and Innovations in mRNA Therapeutics
Liu, D., Chen, H., Pan, A., & Wang, X. (2026) · Chemical Reviews · doi:10.1021/acs.chemrev.5c00347 · Cited by 7
Nishii, Y., Koyama, D., Fukushima, H., & Takahashi, T. (2023) · Molecular Genetics and Genomics · doi:10.1007/s00438-023-02076-4 · Cited by 6
“Substitution of optimal codons with synonymous and non-optimal codons results in dramatic mRNA destabilization, and vice versa (Presnyak et al. 2015).”
BackgroundCellular energy regulates mRNA degradation in a codon-specific manner
da Silva, P. T., Zhang, Y., Theodorakis, E., Martens, L. D., Yépez, V. A., Pelechano, V., & Gagneur, J. (2024) · Molecular Systems Biology · doi:10.1038/s44320-024-00026-9 · Cited by 6
Wang, Z., Wang, H., Gong, X., Ou, X., Guo, Y., & Tang, M. (2025) · BMC Plant Biology · doi:10.1186/s12870-025-06809-y · Cited by 6
“Codon optimization, referring to the preferential use of specific codons to enhance translational accuracy and efficiency, is extensively observed across both prokaryotic and eukaryotic systems [60, 61].”
Zhong, Z., Bailey, M., Kim, Y., Afsharyan, N. P., Parker, B., Arathoon, L., Li, X., Rundle, C. A., Behrens, A., Nedialkova, D. D., et al. (2025) · Genome biology · doi:10.1186/s13059-025-03741-0 · Cited by 6
Genetic Polymorphisms of P-glycoprotein: Echoes of Silence
Fung, K. L., Hunt, R., Kimchi‐Sarfaty, C., & Gottesman, M. M. (2015) · Springer eBooks · doi:10.1007/978-3-319-23476-2_6 · Cited by 6
Potential role of the X circular code in the regulation of gene expression
Thompson, J., Ripp, R., Mayer, C., Poch, O., & Michel, C. J. (2020) · Biosystems · doi:10.1016/j.biosystems.2021.104368 · Cited by 6
Pinsach-Abuin, M., del Olmo, B., Pérez-Agustín, A., Matés, J., Allegue, C., Iglesias, A., Ma, Q., Merkurjev, D., Konovalov, S., Zhang, J., et al. (2021) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100250 · Cited by 8
“As in GWASs, we observed a wide dispersion of association signals, ranging from p = 2.30e 19 to p = 3.83e 8—wider if we consider the 3 non-significant SNVs.”
BackgroundInfluentialEvaluation of Suspected Autosomal Alport Syndrome Synonymous Variants
Rossanti, R., Horinouchi, T., Yamamura, T., Nagano, C., Sakakibara, N., Ishiko, S., Aoto, Y., Kondo, A., Nagai, S., Okada, E., et al. (2021) · Kidney360 · doi:10.34067/kid.0005252021 · Cited by 6
Hector, R. E., Mertens, J. A., & Nichols, N. N. (2021) · Biotechnology Reports · doi:10.1016/j.btre.2021.e00697 · Cited by 6
Chen, K. Y., Park, H., & Subramaniam, A. R. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae285 · Cited by 7
Mutability and hypermutation antagonize immunoglobulin codon optimality
McGrath, J. J. C., Park, J., Troxell, C. A., Chervin, J. C., Li, L., Kent, J. R., Changrob, S., Fu, Y., Huang, M., Zheng, N., et al. (2024) · Molecular Cell · doi:10.1016/j.molcel.2024.11.033 · Cited by 7
Xing, Y., Gong, R., Xu, Y., Liu, K., & Zhou, M. (2020) · Canadian Journal of Microbiology · doi:10.1139/cjm-2019-0624 · Cited by 6
“Experimental studies have demonstrated that codon usage 7 regulates translation elongation rate (Sørensen and Pedersen 1991; Presnyak et al. 2015; Yu et al. 2015), 8 translation efficiency (Ikemura 1981; Mitarai et al. 2008; Zarai et al. 2016) and protein folding (Komar 9 et al. 1999; Zhou et al.…”
BackgroundKim, M., & van Hoof, A. (2020) · Genetics · doi:10.1534/genetics.120.303641 · Cited by 6
Arias, L., Martínez, F., González, D., Flores-Ríos, R., Katz, A., Tello, M., Moreira, S., & Orellana, O. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.607693 · Cited by 6
“Despite considerable information demonstrating that the choice of one synonymous codon over another is not random (Bulmer, 1991; reviewed in Quax et al., 2015), the term “silent” codons is still in use, since codon exchange does not alter protein sequences.”
BackgroundCharacterizing RNA Pseudouridylation by Convolutional Neural Networks
He, X., Zhang, S., Zhang, Y., Lei, Z., Jiang, T., & Zeng, J. (2021) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2019.11.015 · Cited by 7
“Despite that rare codons in an mRNA transcript may decrease its translation efficiency, they are generally important for regulating protein folding and RNA stability [70,71].”
Asymmetric Somatic Hybridization Affects Synonymous Codon Usage Bias in Wheat
Xu, W., Li, Y., Li, Y., Liu, C., Wang, Y., Xia, G., & Wang, M. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.682324 · Cited by 6
“On the other hand, given the role of SCs in transcription efficiency, mRNA stability, translational efficiency, and accuracy and other aspects (Marais et al., 2001; Warnecke and Hurst, 2007; Zhang et al., 2009; Tuller et al., 2010; Presnyak et al., 2015), the SCUB shift may also account for the superior salt tolerance…”
BackgroundBuilding on the Ccr4‐Not architecture
Villányi, Z., & Collart, M. A. (2016) · BioEssays · doi:10.1002/bies.201600051 · Cited by 6
Evidence for functional and non-functional classes of peptides translated from long non-coding RNAsPreprint
Ruiz‐Orera, J., Verdaguer-Grau, P., Villanueva‐Cañas, J. L., Messeguer, X., & Albà, M. M. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/064915 · Cited by 6
“This is consistent with the observation that abundant codons enhance translation elongation [68], whereas rare codons might affect the stability of the mRNA and activate decay pathways [69].”
BackgroundCodon Usage and Amino Acid Identity Are Major Determinants of MRNA Stability in HumansPreprint
Forrest, M. E., Narula, A., Sweet, T. J., Arango, D., Hanson, G. K., Ellis, J., Oberdoerffer, S., Coller, J., & Rissland, O. S. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/488676 · Cited by 6
“…mRNA stability within gene families Previous studies in yeast demonstrated that expression of functionally related genes can be orchestrated at the level of mRNA stability and that much of this phenomenon occurs through coordinated synonymous codon use (Presnyak et al., 2015; Wang et al., 2002).”
BackgroundMethodResultInfluentialSelf-citationPeng, F., Nordgren, E., & Murray, J. I. (2024) · Genome Research · doi:10.1101/gr.278980.124 · Cited by 6
“From yeast to human cells, greater translational efficiency is associated with greater transcript stability (Presnyak et al. 2015; Wu et al. 2019).”
A generative language model decodes contextual constraints on codon choice for mRNA designPreprint
Faizi, M., Sakharova, H., Borrmann, H., Parsa, M. S., & Lareau, L. F. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.13.653614 · Cited by 7
“Slow translation can destabilize mRNAs through a process termed codon optimality mediated decay (Presnyak et al. , 2015; Bazzini et al. , 2016; Narula et al. , 2019).”
Human DDX6 regulates translation and decay of inefficiently translated mRNAs
Weber, R., & Chang, C.-T. (2024) · eLife · doi:10.7554/elife.92426.3 · Cited by 6
The rise of mRNA therapeutic vaccines
Du, J., Fan, Z., Huang, J., Li, Z., Hu, H., & Li, Y. (2025) · RSC Pharmaceutics · doi:10.1039/d4pm00309h · Cited by 5
Translation elongation: measurements and applications
Watkins, L., Li, M., & Wu, B. (2025) · RNA Biology · doi:10.1080/15476286.2025.2504727 · Cited by 7
“This is likely due to an increase in mRNA stability and/or initiation rates [56–61].”
Chemically modified tRNA enhances the translation capacity of mRNA rich in cognate codons
Dong, L., Wang, J., & Xia, Q. (2025) · Nature Communications · doi:10.1038/s41467-025-62981-7 · Cited by 6
Viral codon usage and the virus-host interactions
Sirihongthong, T., & Auewarakul, P. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1711603 · Cited by 5
Non-Coding RNAs: Regulators of Stress, Ageing, and Developmental Decisions in Yeast?
Čáp, M., & Palková, Z. (2024) · Cells · doi:10.3390/cells13070599 · Cited by 6
Learning the sequence code of protein expression in human immune cells
Nicolet, B. P., Jurgens, A. P., Bresser, K., Guislain, A., Bradarić, A., & Wolkers, M. C. (2025) · Science Advances · doi:10.1126/sciadv.ads0510 · Cited by 5
“For instance, codon usage, which can influence mRNA levels through translation-dependent decay ( 19 ), in addition to protein translation rates and abundance ( 31 ), was among the top-contributing SFs in T cells (Fig.”
SIDER2 retroposon-mediated mRNA decay in Leishmania is coupled to translation
Azizi, H., Müller-McNicoll, M., & Papadopoulou, B. (2017) · International Journal for Parasitology · doi:10.1016/j.ijpara.2017.02.001 · Cited by 5
Fervers, P., Fervers, F., Makałowski, W., & Jąkalski, M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0201461 · Cited by 5
“However, regarding the translation of CDSs, usage of a speciesspecific optimum set of codons has been shown to increase translation elongation speed and accuracy [28].”
BackgroundStates of decay: The systems biology of mRNA stability
Ashworth, W., Stoney, P. N., & Yamamoto, T. S. (2019) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2019.03.006 · Cited by 5
Chen, Y.-P., Lin, C.-C., Xie, Y.-X., Chen, C., & Qiu, J.-T. T. (2021) · Taiwanese Journal of Obstetrics and Gynecology · doi:10.1016/j.tjog.2021.05.020 · Cited by 5
Self-citationGenetic variants associated mRNA stability in lung
Lǐ, J., Tang, M., Li, Y., Amos, C. I., & Cheng, C. (2022) · BMC Genomics · doi:10.1186/s12864-022-08405-y · Cited by 5
Alteration of synonymous codon usage bias accompanies polyploidization in wheat
Tian, G., Xiao, G., Wu, T., Zhou, J., Xu, W., Wang, Y., Xia, G., & Wang, M. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.979902 · Cited by 5
“, 2022) and SCs affect transcription efficiency, mRNA stability, translational efficiency and accuracy (Zhang et al.; Marais et al., 2001; Warnecke and Hurst 2007; Tuller et al., 2010; Presnyak et al., 2015), a shift in SCUB may be detrimental to the phenotype of”
BackgroundLeón-Cachón, R. B. R., Salinas-Santander, M. A., Aguilar-Tamez, D. A., MarianaValdez-Ortiz, P., Ríos-Ibarra, C. P., Cepeda-Nieto, A. C., Suárez‐Valencia, V. D. J., & Morlett-Chávez, J. A. (2022) · Journal of Applied Biomedicine · doi:10.32725/jab.2022.017 · Cited by 6
Novel Proteoform Discovery by Precise Semi-De Novo Sequencing of Novel Junction Peptides
He, C., & Wong, C. C. L. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.3c00870 · Cited by 5
Bourret, J., Borvető, F., & Bravo, I. G. (2023) · Journal of Evolutionary Biology · doi:10.1111/jeb.14212 · Cited by 5
Schall, P. Z., & Latham, K. E. (2023) · Physiological Genomics · doi:10.1152/physiolgenomics.00048.2023 · Cited by 5
Ten-Eleven-Translocation Genes in Cancer
Wang, Y., Wang, X., & Lü, J. (2023) · Cancer treatment and research · doi:10.1007/978-3-031-45654-1_11 · Cited by 5
AAV Vector-Based Gene Therapy, Progress and Current Challenges
Kuranda, K., & Mingozzi, F. (2017) · Springer eBooks · doi:10.1007/978-3-319-53457-2_5 · Cited by 5
Evaluation of GFP reporter utility for analysis of transcriptional slippage during gene expression
Wons, E., Koscielniak, D., Szadkowska, M., & Sęktas, M. (2018) · Microbial Cell Factories · doi:10.1186/s12934-018-0999-3 · Cited by 5
Guo, L., Smith, J. A., Abelson, M., Louis, I. V.-S., Schiff, L. A., & Bohjanen, P. R. (2018) · PLoS ONE · doi:10.1371/journal.pone.0204622 · Cited by 5
Auboeuf, D. (2017) · BioEssays · doi:10.1002/bies.201700069 · Cited by 5
In vivostructure of the Ty1 retrotransposon RNA genome
Andrzejewska-Romanowska, A., Zawadzka, M., Gumna, J., Garfinkel, D. J., & Pachulska‐Wieczorek, K. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab090 · Cited by 5
“A significant increase of yeast mRNA halflife is detected when non-optimal codons are converted to optimal codons in a manner minimizing changes in the GC content and the predicted RNA secondary structure (92).”
BackgroundWang, X., Li, P., & Gutenkunst, R. N. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/138792 · Cited by 5
“We also added potential direct influences from RNA sequence features (quantified by CAI) on transcription [23-25], mRNA half-life [24, 26], and translation [24, 27, 28].”
BackgroundCcr4 and Pop2 control poly(A) tail length in Saccharomyces cerevisiaePreprint
Balagopal, V., Bolisetty, M. T., Alhusaini, N., Coller, J., & Graveley, B. R. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/140202 · Cited by 6
“Previous work from our labs and others have demonstrated the correlation between codon optimality and mRNA decay rates (Presnyak et al. 2015; Boёl et al. 2016; Harigaya and Parker 2016; Mishima and Tomari 2016; Bazzini et al. 2016).”
BackgroundResultSelf-citationHuman NMD ensues independently of stable ribosome stallingPreprint
Karousis, E. D., Gurzeler, L., Annibaldis, G., Dreos, R., & Mühlemann, O. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2019.12.11.872861 · Cited by 5
Translational Regulation by Upstream Open Reading Frames and Its Relevance to Human Genetic Disease
Fernandes, R. O., & Romão, L. (2020) · Wiley eBooks · doi:10.1002/9780470015902.a0029194 · Cited by 5
Immune Isoform Atlas: Landscape of alternative splicing in human immune cellsPreprint
Inamo, J., Suzuki, A., Ueda, M. T., Yamaguchi, K., Nishida, H., Suzuki, K., Kaneko, Y., Takeuchi, T., Ishihama, Y., Yamamoto, K., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.13.507708 · Cited by 5
tRNA modifications inform tissue specific mRNA translation and codon optimizationPreprint
Ando, D., Rashad, S., Begley, T. J., Endo, H., Aoki, M., Dedon, P. C., & Niizuma, K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.24.563884 · Cited by 5
“Codon usage and optimality have been a subject of immense interest, given their role in regulating many molecular processes such as mRNA stability and decay(39, 40), ribosome decoding fidelity(41), and mRNA translation efficiency(5, 42).”
BackgroundDissecting translation elongation dynamics through ultra-long tracking of single ribosomesPreprint
Madern, M. F., Yang, S., Witteveen, O., Bauer, M., & Tanenbaum, M. E. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.08.588516 · Cited by 5
Zhou, Y., Sheng, Z., Li, D., Li, W., Peng, Y., Song, Z., Quan, Z., & Liu, Y. (2025) · BMC Genomics · doi:10.1186/s12864-025-11873-7 · Cited by 4
“Codons i with cTE i values of 0.47 or higher are categorized as optimal, whereas those with lower values are deemed nonoptimal [60].”
InfluentialUnconventional codon usage bias mediates mRNA translational dynamics in macrophages
Luo, S., Wang, Q., Chen, A., Huang, L., Liu, Y., Zong, X., & Mao, Y. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003403 · Cited by 6
“In contrast, in all other mouse tissues analyzed in this study, the high-abundance mRNAs were biased toward GC3 codons. mRNA stability is affected by codon usage via regulation of the translation elongation rate [48,49].”
RNA vaccines for cancer: revolutionizing immunization strategies
Huang, D., Zhang, J., Zeng, X., Zhang, Y., & Song, E. (2025) · Trends in cancer · doi:10.1016/j.trecan.2025.09.003 · Cited by 4
Yu, S.-S., Qin, M., Fleming, E., Gong, X., & Tang, M. (2025) · Frontiers in Plant Science · doi:10.3389/fpls.2025.1655810 · Cited by 4
“Codon usage optimization — de fi ned as the preferential employment of synonymous codons to improve translational fi delity and effectiveness — is a recognized phenomenon in both unicellular and multicellular organisms (Presnyak et al., 2015; Sen et al., 2020).”
Nuclear effects play an important role in determining codon usage-dependent human gene expression
Garg, R., Xie, P., Duan, J., Liu, H., & Liu, Y. (2025) · Nature Communications · doi:10.1038/s41467-025-65907-5 · Cited by 4
The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection
Bykova, A., Saura, A., Glazko, G. V., Roche-Lima, A., Yurchenko, V., & Rogozin, I. B. (2023) · BMC Genomics · doi:10.1186/s12864-023-09482-3 · Cited by 4
CbCyp51-Mediated Demethylation Inhibitor Resistance Is Modulated by Codon Bias
Rangel, L. I., Wyatt, N. A., Courneya, I., Natwick, M. B., Secor, G. A., Rivera-Varas, V. V., & Bolton, M. D. (2024) · Phytopathology · doi:10.1094/phyto-01-24-0034-r · Cited by 4
Tregnago, C., Benetton, M., Ries, R. E., Peplinski, J. H., Alonzo, T. A., Stirewalt, D. L., Othus, M. K. D., Duployez, N., Sonneveld, E., Abrahamsson, J., et al. (2024) · Journal of Clinical Oncology · doi:10.1200/jco-24-01715 · Cited by 6
“43 To corroborate this latter hypothesis, we quanti fi ed the NPM1 -mutated mRNA transcript expression (with quantitative and speci fi c assays to measure NPM1-A and NPM1 -”
Sotelo-Ramírez, C. E., Valdés‐Tovar, M., Zaragoza-Hoyos, J. U., Ortíz‐López, L., Argueta, J., Rosel-Vales, M., Miranda-Labra, R. U., & Camarena, B. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26030926 · Cited by 4
Feng, X., Liu, Z., Mo, Y. J., Zhang, S., & Ma, X. (2025) · Archives of Virology · doi:10.1007/s00705-025-06250-4 · Cited by 4
“Codon usage bias occurs due to the preferential and non-random use of synonymous codons, which can be influenced by nucleotide pair bias [ 8, 9 ] and differences in mRNA stability [ 10 , 11 ], translation accuracy and effi - ciency [12, 13 ], and protein folding kinetics [ 14].”
Low, T. C. H., Luo, H., Weerasooriya, C., Wang, Z., Lin, S., Karaiskakis, A., Angers, S., Smibert, C. A., & Lipshitz, H. D. (2025) · Genetics · doi:10.1093/genetics/iyaf241 · Cited by 4
“Either way, the observation that ORB2 targets are enriched for rare codons and are downregulated is consistent with the larger literature on the outcome of nonoptimal codon usage, including during the MZT of flies and vertebrates (Presnyak et al. 2015; Bazzini et al. 2016; Iriarte et al. 2021).”
Aalberts, D. P., Boël, G., & Hunt, J. F. (2017) · Cell Systems · doi:10.1016/j.cels.2017.01.004 · Cited by 4
“This study echoed other recent studies showing similar correlations between codon usage and mRNA decay rates in the yeast Saccharomyces cerevisiae (Presnyak et al, 2015) and the zebrafish Danio rerio.”
BackgroundResultGorgoni, B., Zhao, Y.-B., Krishnan, J., & Stansfield, I. (2019) · Cells · doi:10.3390/cells8080800 · Cited by 4
“The rate of removal of the poly(A) tail is determined by a complex interplay of mRNA structure [15], mRNA codon composition [16], the nature of the 3′ untranslated region, including AU-rich element binding sites for factors such as the Puf proteins that can stabilize or destabilize mRNAs [17], and the translational ef…”
BackgroundTsunekuni, R., Tanikawa, T., Nakaya, T., & Saito, T. (2019) · Vaccine · doi:10.1016/j.vaccine.2019.10.098 · Cited by 4
A Crosstalk on Codon Usage in Genes Associated with Leukemia
Chakraborty, S., Nath, D., Paul, S., Choudhury, Y., Ahn, Y., Cho, Y. S., & Uddin, A. (2020) · Biochemical Genetics · doi:10.1007/s10528-020-10000-3 · Cited by 4
Current Trends and Prospects in Antimicrobial Peptide Bioprocessing
de Oliveira, K. B. S., Leite, M. L., Rodrigues, G. R., da Cunha, N. B., Dias, S. C., & Franco, O. L. (2022) · Microbiology monographs · doi:10.1007/978-3-031-06600-9_5 · Cited by 4
satmut_utils: a simulation and variant calling package for multiplexed assays of variant effect
Hoskins, I., Sun, S., Coté, A. G., Roth, F. P., & Cenik, C. (2023) · Genome biology · doi:10.1186/s13059-023-02922-z · Cited by 3
Aubé, S., Nielly‐Thibault, L., & Landry, C. R. (2023) · PLoS Genetics · doi:10.1371/journal.pgen.1010756 · Cited by 4
Hegelmeyer, N. K., Parkin, L. A., Previti, M. L., Andrade, J., Utama, R., Sejour, R., Gardin, J., Muller, S., Ketchum, S., Yurovsky, A., et al. (2023) · mBio · doi:10.1128/mbio.00841-23 · Cited by 4
“Others have established that synonymous mutations recoding single codon usage can affect mRNA folding and accessibility (36), longevity (38), and rates of translation (39, 40).”
BackgroundSun, H., Vargas-Blanco, D. A., Zhou, Y., Masiello, C. S., Kelly, J. M., Moy, J. K., Korkin, D., & Shell, S. S. (2024) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqae147 · Cited by 3
“It has been shown in E. coli and S. cerevisiae that translation efficiency is positively correlated with mRNA half-life in log phase ( 76 ,77 ).”
BackgroundCelik, A. (2017) · eScholarship@UMassChan · doi:10.13028/m2h38v · Cited by 4
Functional relevance of synonymous alleles reflected in allele rareness in the population
Im, E.-H., Hahn, Y., & Choi, S. S. (2018) · Genomics · doi:10.1016/j.ygeno.2018.04.003 · Cited by 5
Vito, D., & Smales, C. M. (2018) · Current Opinion in Chemical Engineering · doi:10.1016/j.coche.2018.11.002 · Cited by 4
mRNA with Mammalian Codon Bias Accumulates in Yeast Mutants with Constitutive Stress Granules
Kozlova, N., Pichon, C., & Rahmouni, A. R. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21041234 · Cited by 4
“coefficient (CSC) was attr buted to each amino acid codon according to [25], and col r-codi g was added, as indicated in the lower p nel.”
BackgroundMethodInfluentialA role for circular code properties in translation
Giannerini, S., Gonzalez, D. L., Goracci, G., & Danielli, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-87534-y · Cited by 4
Palmisano, N. J., Azmi, M. A., Medwig-Kinney, T. N., Moore, F. E. Q., Rahman, R., Zhang, W., Adikes, R. C., & Matus, D. Q. (2022) · CourseSource · doi:10.24918/cs.2022.15 · Cited by 3
Zhang, Y. J., & Bebők, Z. (2022) · Springer eBooks · doi:10.1007/978-3-031-05616-1_6 · Cited by 5
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