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.
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Previous strategies to increase mRNA stability have yielded modest improvements in RNA stability.
“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]
The Results section reports that reporters with optimal codons were about fourfold more stable than those with non-optimal codons, supporting an improvement in mRNA stability. The paper does not characterize that improvement as modest or establish that previous stabilization strategies generally yielded only modest gains. (LLM, conf=0.79)
Experimental — accuracy not yet measuredCodon modification is critical for mRNA stability.
“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
Researchers usually performed codon optimization on the antigen-coding sequence to enhance translation efficiency.
“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]
Codon optimization in the mRNA sequence, for example to match host tRNA abundances or as a determinant of secondary structures, can drastically impact protein synthesis rate and ribosome dwell time.
“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]
The rate of codon-dependent translation elongation is a primary factor of mRNA stability.
“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
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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 · see citing works
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 · see citing works
Trapnell, 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 · see citing works
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 · see citing works
Open source clustering software
de Hoon, M., Imoto, S., Nolan, J., & Miyano, S. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth078 · Cited by 3,043 · see citing works
Java Treeview—extensible visualization of microarray data
Saldanha, A. J. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth349 · Cited by 2,991 · see citing works
Gietz, R. D., & Sugino, A. (1988) · Gene · doi:10.1016/0378-1119(88)90185-0 · Cited by 2,901 · see citing works
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 · see citing works
Mistranslation-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 1,041 · see citing works
An 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 · see citing works
Solving the riddle of codon usage preferences: a test for translational selection
dos Reis, M. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh834 · Cited by 745 · see citing works
Synonymous codon usage in Drosophila melanogaster: Natural selection and translational accuracy
Akashi, H. (1994) · Genetics · doi:10.1093/genetics/136.3.927 · Cited by 742 · see citing works
Precision and functional specificity in mRNA decay
Wang, Y., Liu, C. L., Storey, J. D., Tibshirani, R. J., Herschlag, D., & Brown, P. O. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.092538799 · Cited by 708 · see citing works
General Translational Repression by Activators of mRNA Decapping
Coller, J. M., & Parker, R. (2005) · Cell · doi:10.1016/j.cell.2005.07.012 · Cited by 629 · see citing works
Self-citationEvolutionary conservation of codon optimality reveals hidden signatures of cotranslational folding
Pechmann, S., & Frydman, J. (2012) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2466 · Cited by 487 · see citing works
A Dual Program for Translation Regulation in Cellular Proliferation and Differentiation
Gingold, H., Tehler, D., Christoffersen, N. R., Nielsen, M. M., Asmar, F., Kooistra, S. M., Christophersen, N. S., Christensen, L. L., Borre, M., Sørensen, K. D., et al. (2014) · Cell · doi:10.1016/j.cell.2014.08.011 · Cited by 487 · see citing works
Coller, J., & Parker, R. (2004) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.73.011303.074032 · Cited by 484 · see citing works
Self-citationIdentification and Comparison of Stable and Unstable mRNAs in Saccharomyces cerevisiae
Herrick, D., Parker, R., & Jacobson, A. (1990) · Molecular and Cellular Biology · doi:10.1128/mcb.10.5.2269 · Cited by 406 · see citing works
Translation drives mRNA quality control
Shoemaker, C. J., & Green, R. (2012) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2301 · Cited by 397 · see citing works
Dynamic transcriptome analysis measures rates of mRNA synthesis and decay in yeast
Miller, C., Schwalb, B., Maier, K. C., Schulz, D., Dümcke, S., Zacher, B., Mayer, A., Sydow, J. F., Marcinowski, L., Dölken, L., et al. (2011) · Molecular Systems Biology · doi:10.1038/msb.2010.112 · Cited by 393 · see citing works
Eucaryotic RNA Polymerase Conditional Mutant that Rapidly Ceases mRNA Synthesis
Nonet, M. L., Scafe, C., Sexton, J., & Young, R. A. (1987) · Molecular and Cellular Biology · doi:10.1128/mcb.7.5.1602-1611.1987 · Cited by 347 · see citing works
Speeding with control: codon usage, tRNAs, and ribosomes
Novoa, E. M., & de Pouplana, L. R. (2012) · Trends in Genetics · doi:10.1016/j.tig.2012.07.006 · Cited by 345 · see citing works
Turnover Mechanisms of the Stable Yeast PGK1 mRNA
Muhlrad, D., Decker, C. J., & Parker, R. (1995) · Molecular and Cellular Biology · doi:10.1128/mcb.15.4.2145 · Cited by 339 · see citing works
Co-translational mRNA decay in Saccharomyces cerevisiae
Hu, W., Sweet, T. J., Chamnongpol, S., Baker, K. E., & Coller, J. M. (2009) · Nature · doi:10.1038/nature08265 · Cited by 334 · see citing works
Self-citationBalanced Codon Usage Optimizes Eukaryotic Translational Efficiency
Qian, W., Yang, J.-R., Pearson, N. M., Maclean, C. J., & Zhang, J. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002603 · Cited by 303 · see citing works
Positively Charged Residues Are the Major Determinants of Ribosomal Velocity
Charneski, C. A., & Hurst, L. D. (2013) · PLoS Biology · doi:10.1371/journal.pbio.1001508 · Cited by 293 · see citing works
The Puf3 protein is a transcript‐specific regulator of mRNA degradation in yeast
Olivas, W. M., & Parker, R. (2000) · The EMBO Journal · doi:10.1093/emboj/19.23.6602 · Cited by 289 · see citing works
Global Analysis of mRNA Isoform Half-Lives Reveals Stabilizing and Destabilizing Elements in Yeast
Geisberg, J. V., Moqtaderi, Z., Fan, X., Ozsolak, F., & Struhl, K. (2014) · Cell · doi:10.1016/j.cell.2013.12.026 · Cited by 270 · see citing works
Mutations affecting stability and deadenylation of the yeast MFA2 transcript.Preprint
Muhlrad, D., & Parker, R. (1992) · Genes & Development · doi:10.1101/gad.6.11.2100 · Cited by 230 · see citing works
Hoekema, A., KASTELEIN, R. A., Vasser, M., & de Boer, H. A. (1987) · Molecular and Cellular Biology · doi:10.1128/mcb.7.8.2914-2924.1987 · Cited by 220 · see citing works
Translationally Optimal Codons Associate with Structurally Sensitive Sites in Proteins
Zhou, T., Weems, M., & Wilke, C. O. (2009) · Molecular Biology and Evolution · doi:10.1093/molbev/msp070 · Cited by 205 · see citing works
Caponigro, G., Muhlrad, D., & Parker, R. (1993) · Molecular and Cellular Biology · doi:10.1128/mcb.13.9.5141 · Cited by 189 · see citing works
PUF Protein-mediated Deadenylation Is Catalyzed by Ccr4p
Goldstrohm, A. C., Seay, D. J., Hook, B. A., & Wickens, M. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m609413200 · Cited by 167 · see citing works
The DEAD-Box Protein Dhh1 Promotes Decapping by Slowing Ribosome Movement
Sweet, T. J., Kovalak, C., & Coller, J. M. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001342 · Cited by 163 · see citing works
Self-citationIdentification and Comparison of Stable and Unstable mRNAs in Saccharomyces cerevisiae
Herrick, D. J., Parker, R., & Jacobson, A. (1990) · Molecular and Cellular Biology · doi:10.1128/mcb.10.5.2269-2284.1990 · Cited by 126 · see citing works
LaGrandeur, T. E., & Parker, R. (1999) · RNA · doi:10.1017/s1355838299981748 · Cited by 93 · see citing works
Presnyak, V., & Coller, J. (2013) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2013.03.006 · Cited by 70 · see citing works
Self-citationRNA decay modulates gene expression and controls its fidelity
Ghosh, S., & Jacobson, A. (2010) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.25 · Cited by 70 · see citing works
Caponigro, G., Muhlrad, D., & Parker, R. (1993) · Molecular and Cellular Biology · doi:10.1128/mcb.13.9.5141-5148.1993 · Cited by 64 · see citing works
Inferring gene function from evolutionary change in signatures of translation efficiency
Kriško, A., Copic, T., Gabaldón, T., Lehner, B., & Supek, F. (2014) · Genome biology · doi:10.1186/gb-2014-15-3-r44 · Cited by 51 · see citing works
Emerging roles for ribonucleoprotein modification and remodeling in controlling RNA fate
Lee, S. R., & Lykke‐Andersen, J. (2013) · Trends in Cell Biology · doi:10.1016/j.tcb.2013.05.001 · Cited by 43 · see citing works
Flagged first, then by citations
2 of the 43 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Delivering the Messenger: Advances in Technologies for Therapeutic mRNA Delivery
Kowalski, P. S., Rudra, A., Miao, L., & Anderson, D. G. (2019) · Molecular Therapy · doi:10.1016/j.ymthe.2019.02.012 · Cited by 1,127 · see citing works
Emerging issues in AAV-mediated in vivo gene therapy
Colella, P., Ronzitti, G., & Mingozzi, F. (2018) · Molecular Therapy - Methods & Clinical Development · doi:10.1016/j.omtm.2017.11.007 · Cited by 881 · see citing works
Engineering circular RNA for potent and stable translation in eukaryotic cells
Wesselhoeft, R. A., Kowalski, P. S., & Anderson, D. G. (2018) · Nature Communications · doi:10.1038/s41467-018-05096-6 · Cited by 884 · see citing works
Codon optimality, bias and usage in translation and mRNA decay
Hanson, G., & Coller, J. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.91 · Cited by 825 · see citing works
Self-citationThe Stress Granule Transcriptome Reveals Principles of mRNA Accumulation in Stress Granules
Khong, A., Matheny, T., Jain, S., Mitchell, S. F., Wheeler, J., & Parker, R. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.10.015 · Cited by 760 · see citing works
mRNA-based therapeutics: powerful and versatile tools to combat diseases
Qin, S., Tang, X., Chen, Y., Chen, K., Fan, N., Xiao, W., Zheng, Q., Li, G., Teng, Y., Wu, M., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01007-w · Cited by 801 · see citing works
Self-citationAdvances in the delivery of RNA therapeutics: from concept to clinical reality
Kaczmarek, J. C., Kowalski, P. S., & Anderson, D. G. (2017) · Genome Medicine · doi:10.1186/s13073-017-0450-0 · Cited by 656 · see citing works
Yu, C., Dang, Y., Zhou, Z., Wu, C., Zhao, F., Sachs, M. S., & Liu, Y. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.07.018 · Cited by 605 · see citing works
Advances in COVID-19 mRNA vaccine development
Fang, E., Liu, X., Li, M., Zhang, Z., Song, L., Zhu, B., Wu, X., Liu, J., Zhao, D., & Li, Y. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00950-y · Cited by 601 · see citing works
Roles of mRNA poly(A) tails in regulation of eukaryotic gene expression
Passmore, L. A., & Coller, J. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00417-y · Cited by 558 · see citing works
Self-citationmRNA structure regulates protein expression through changes in functional half-life
Mauger, D. M., Cabral, B. J., Presnyak, V., Su, S. V., Reid, D. W., Goodman, B., Link, K., Khatwani, N., Reynders, J., Moore, M. J., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1908052116 · Cited by 555 · see citing works
Self-citationThe dawn of mRNA vaccines: the COVID-19 case
Verbeke, R., Lentacker, I., De Smedt, S. C., & Dewitte, H. (2021) · Journal of Controlled Release · doi:10.1016/j.jconrel.2021.03.043 · Cited by 504 · see citing works
Treeck, B. V., Protter, D. S. W., Matheny, T., Khong, A., Link, C. D., & Parker, R. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1800038115 · Cited by 482 · see citing works
The promise of mRNA vaccines: a biotech and industrial perspective
Jackson, N. A. C., Kester, K. E., Casimiro, D., Gurunathan, S., & DeRosa, F. (2020) · npj Vaccines · doi:10.1038/s41541-020-0159-8 · Cited by 498 · see citing works
“49, 50 Additional sites within the mRNA construct are available for optimization as well.”
BackgroundModulated Expression of Specific tRNAs Drives Gene Expression and Cancer Progression
Goodarzi, H., Nguyen, H. C. B., Zhang, S., Dill, B. D., Molina, H., & Tavazoie, S. F. (2016) · Cell · doi:10.1016/j.cell.2016.05.046 · Cited by 454 · see citing works
The emerging complexity of the tRNA world: mammalian tRNAs beyond protein synthesis
SCHIMMEL, P. R. (2017) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.77 · Cited by 463 · see citing works
The maternal-to-zygotic transition revisited
Vastenhouw, N. L., Cao, W. X., & Lipshitz, H. D. (2019) · Development · doi:10.1242/dev.161471 · Cited by 433 · see citing works
Zhou, Z., Dang, Y., Zhou, M., Li, L., Yu, C., Fu, J., Chen, S., & Liu, Y. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1606724113 · Cited by 441 · see citing works
Codon influence on protein expression in E. coli correlates with mRNA levels
Boël, G., Letso, R. R., Neely, H., Price, W. N., Wong, K., Su, M., Luff, J. D., Valecha, M., Everett, J. K., Acton, T., et al. (2016) · Nature · doi:10.1038/nature16509 · Cited by 429 · see citing works
Synonymous Codons Direct Cotranslational Folding toward Different Protein Conformations
Buhr, F., Jha, S., Thommen, M., Mittelstaet, J., Kutz, F., Schwalbe, H., Rodnina, M. V., & Komar, A. A. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.01.008 · Cited by 395 · see citing works
Upstream ORFs are prevalent translational repressors in vertebrates
Johnstone, T. G., Bazzini, A. A., & Giraldez, A. J. (2016) · The EMBO Journal · doi:10.15252/embj.201592759 · Cited by 346 · see citing works
RNA modifications in physiology and disease: towards clinical applications
Delaunay, S., Helm, M., & Frye, M. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00645-2 · Cited by 358 · see citing works
Fornasiero, E. F., Mandad, S., Wildhagen, H., Alevra, M., Rammner, B., Keihani, S., Opazo, F., Urban, I., Ischebeck, T., Sakib, M. S., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-06519-0 · Cited by 340 · see citing works
Juszkiewicz, S., & Hegde, R. S. (2017) · Molecular Cell · doi:10.1016/j.molcel.2016.11.039 · Cited by 339 · see citing works
mRNA vaccines for COVID-19: what, why and how
Park, J. W., Lagniton, P. N. P., Liu, Y., & Xu, R.-H. (2021) · International Journal of Biological Sciences · doi:10.7150/ijbs.59233 · Cited by 321 · see citing works
Bazzini, A., Viso, F. D., Moreno-Mateos, M. A., Johnstone, T. G., Vejnar, C. E., Qin, Y., Yao, J., Khokha, M. K., & Giráldez, A. J. (2016) · The EMBO Journal · doi:10.15252/embj.201694699 · Cited by 307 · see citing works
Synonymous mutations in representative yeast genes are mostly strongly non-neutral
Shen, X., Song, S., Li, C., & Zhang, J. (2022) · Nature · doi:10.1038/s41586-022-04823-w · Cited by 298 · see citing works
Codon Usage and 3′ UTR Length Determine Maternal mRNA Stability in Zebrafish
Mishima, Y., & Tomari, Y. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.02.027 · Cited by 295 · see citing works
Jia, B., & Jeon, C. O. (2016) · Open Biology · doi:10.1098/rsob.160196 · Cited by 295 · see citing works
The Ccr4-Not complex monitors the translating ribosome for codon optimality
Buschauer, R., Matsuo, Y., Sugiyama, T., Chen, Y.-H., Alhusaini, N., Sweet, T., Ikeuchi, K., Cheng, J.-D., Matsuki, Y., Nobuta, R., et al. (2019) · Science · doi:10.1126/science.aay6912 · Cited by 261 · see citing works
Self-citationThe DEAD-Box Protein Dhh1p Couples mRNA Decay and Translation by Monitoring Codon Optimality
Radhakrishnan, A., Chen, Y.-H., Martin, S., Alhusaini, N., Green, R., & Coller, J. (2016) · Cell · doi:10.1016/j.cell.2016.08.053 · Cited by 279 · see citing works
Self-citationShort poly(A) tails are a conserved feature of highly expressed genes
Lima, S. A., Chipman, L. B., Nicholson, A. L., Chen, Y.-H., Yee, B. A., Yeo, G. W.-M., Coller, J., & Pasquinelli, A. E. (2017) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.3499 · Cited by 282 · see citing works
Self-citationRibosome Profiling: Global Views of TranslationPreprint
Ingolia, N. T., Hussmann, J. A., & Weissman, J. S. (2018) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a032698 · Cited by 285 · see citing works
Translation affects mRNA stability in a codon-dependent manner in human cells
Wu, Q., Medina, S. G., Kushawah, G., DeVore, M. L., Castellano, L. A., Hand, J. M., Wright, M., & Bazzini, A. A. (2019) · eLife · doi:10.7554/elife.45396 · Cited by 283 · see citing works
Cells alter their tRNA abundance to selectively regulate protein synthesis during stress conditions
Torrent, M., Chalancon, G., de Groot, N. S., Wüster, A., & Babu, M. M. (2018) · Science Signaling · doi:10.1126/scisignal.aat6409 · Cited by 275 · see citing works
Webster, M. W., Chen, Y.-H., Stowell, J. A. W., Alhusaini, N., Sweet, T. J., Graveley, B. R., Coller, J. M., & Passmore, L. A. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.05.033 · Cited by 261 · see citing works
Self-citationKim, S. C., Sekhon, S. S., Shin, W.-R., Ahn, G., Cho, B.-K., Ahn, J.-Y., & Kim, Y.-H. (2022) · Molecular & Cellular Toxicology · doi:10.1007/s13273-021-00171-4 · Cited by 255 · see citing works
Codon usage of highly expressed genes affects proteome-wide translation efficiency
Frumkin, I., Lajoie, M. J., Gregg, C. J., Hornung, G., Church, G. M., & Pilpel, Y. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1719375115 · Cited by 244 · see citing works
A code within the genetic code: codon usage regulates co-translational protein folding
Liu, Y. (2020) · Cell Communication and Signaling · doi:10.1186/s12964-020-00642-6 · Cited by 252 · see citing works
Decoding mRNA translatability and stability from the 5′ UTR
Jia, L., Mao, Y., Ji, Q., Dersh, D., Yewdell, J. W., & Qian, S.-B. (2020) · Nature Structural & Molecular Biology · doi:10.1038/s41594-020-0465-x · Cited by 248 · see citing works
Synonymous but Not Silent: The Codon Usage Code for Gene Expression and Protein Folding
Liu, Y., Yang, Q., & Zhao, F. (2021) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-071320-112701 · Cited by 242 · see citing works
Cambray, G., Guimaraes, J. C., & Arkin, A. P. (2018) · Nature Biotechnology · doi:10.1038/nbt.4238 · Cited by 235 · see citing works
PABP Cooperates with the CCR4-NOT Complex to Promote mRNA Deadenylation and Block Precocious Decay
Yi, H., Park, J., Ha, M., Lim, J., Chang, H., & Kim, V. N. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.05.009 · Cited by 226 · see citing works
Cytoplasmic RNA decay pathways - Enzymes and mechanisms
Łabno, A., Tomecki, R., & Dziembowski, A. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2016.09.023 · Cited by 229 · see citing works
An RNA toolbox for cancer immunotherapy
Pastor, F., Berraondo, P., Etxeberria, I., Frederick, J., Sahin, U., Gilboa, E., & Melero, I. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2018.132 · Cited by 229 · see citing works
Synonymous Codons: Choose Wisely for Expression
Brule, C. E., & Grayhack, E. J. (2017) · Trends in Genetics · doi:10.1016/j.tig.2017.02.001 · Cited by 231 · see citing works
Nanomedicines to Deliver mRNA: State of the Art and Future Perspectives
Gómez-Aguado, I., Rodríguez-Castejón, J., Vicente-Pascual, M., Rodríguez‐Gascón, A., Solinís, M. Á., & del Pozo‐Rodríguez, A. (2020) · Nanomaterials · doi:10.3390/nano10020364 · Cited by 224 · see citing works
Adjacent Codons Act in Concert to Modulate Translation Efficiency in Yeast
Gamble, C. E., Brule, C. E., Dean, K., Fields, S., & Grayhack, E. J. (2016) · Cell · doi:10.1016/j.cell.2016.05.070 · Cited by 222 · see citing works
Hussmann, J. A., Patchett, S., Johnson, A. M., Sawyer, S. L., & Press, W. H. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005732 · Cited by 222 · see citing works
Ishimura, R., Nagy, G., Dotu, I., Chuang, J. H., & Ackerman, S. L. (2016) · eLife · doi:10.7554/elife.14295 · Cited by 221 · see citing works
Redefining the Translational Status of 80S Monosomes
Heyer, E. E., & Moore, M. J. (2016) · Cell · doi:10.1016/j.cell.2016.01.003 · Cited by 202 · see citing works
The ribosome in action: Tuning of translational efficiency and protein folding
Rodnina, M. V. (2016) · Protein Science · doi:10.1002/pro.2950 · Cited by 211 · see citing works
Chan, L. Y., Mugler, C. F., Heinrich, S., Vallotton, P., & Weis, K. (2018) · eLife · doi:10.7554/elife.32536 · Cited by 214 · see citing works
Pausing on Polyribosomes: Make Way for Elongation in Translational Control
Richter, J. D., & Coller, J. M. (2015) · Cell · doi:10.1016/j.cell.2015.09.041 · Cited by 204 · see citing works
Self-citationThe Dynamics of Cytoplasmic mRNA Metabolism
Eisen, T. J., Eichhorn, S. W., Subtelny, A. O., Lin, K. S., McGeary, S. E., Gupta, S., & Bartel, D. P. (2020) · Molecular Cell · doi:10.1016/j.molcel.2019.12.005 · Cited by 177 · see citing works
P-body assembly requires DDX6 repression complexes rather than decay or Ataxin2/2L complexes
Ayache, J., Bénard, M., Ernoult‐Lange, M., Minshall, N., Standart, N., Kress, M., & Barbieri-Weill, D. (2015) · Molecular Biology of the Cell · doi:10.1091/mbc.e15-03-0136 · Cited by 194 · see citing works
Theoretical basis for stabilizing messenger RNA through secondary structure design
Wayment-Steele, H. K., Kim, D. S., Choe, C. A., Nicol, J. J., Wellington-Oguri, R., Watkins, A. M., Parra Sperberg, R. A., Huang, P.-S., Participants, E., & Das, R. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab764 · Cited by 197 · see citing works
Translational control of stem cell function
Saba, J. A., Liakath‐Ali, K., Green, R., & Watt, F. M. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00386-2 · Cited by 200 · see citing works
A short translational ramp determines the efficiency of protein synthesis
Verma, M., Choi, J., Cottrell, K. A., Lavagnino, Z., Thomas, E. N., Pavlovic‐Djuranovic, S., Szczęsny, P., Piston, D. W., Zaher, H. S., Puglisi, J. D., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13810-1 · Cited by 182 · see citing works
Darnell, A. M., Subramaniam, A. R., & O’Shea, E. K. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.06.041 · Cited by 183 · see citing works
Platforms for Production of Protein-Based Vaccines: From Classical to Next-Generation Strategies
Cid, R., & Bolívar, J. (2021) · Biomolecules · doi:10.3390/biom11081072 · Cited by 176 · see citing works
The Yin and Yang of codon usage
Komar, A. A. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw207 · Cited by 175 · see citing works
A novel class of microRNA-recognition elements that function only within open reading frames
Zhang, K., Zhang, X., Cai, Z., Zhou, J., Cao, R., Zhao, Y., Chen, Z., Wang, D., Ruan, W., Zhao, Q. C., et al. (2018) · Nature Structural & Molecular Biology · doi:10.1038/s41594-018-0136-3 · Cited by 169 · see citing works
Loughrey, D., & Dahlman, J. E. (2022) · Accounts of Chemical Research · doi:10.1021/acs.accounts.1c00601 · Cited by 173 · see citing works
Direct epitranscriptomic regulation of mammalian translation initiation through N4-acetylcytidine
Arango, D., Sturgill, D. M., Yang, R., Kanai, T., Bauer, P., Roy, J., Wang, Z., Hosogane, M., Schiffers, S., & Oberdoerffer, S. (2022) · Molecular Cell · doi:10.1016/j.molcel.2022.05.016 · Cited by 172 · see citing works
Nanoscale platforms for messenger RNA delivery
Li, B., Zhang, X., & Dong, Y. (2019) · WIREs Nanomedicine and Nanobiotechnology · doi:10.1002/wnan.1530 · Cited by 170 · see citing works
Molecular mechanism of translational stalling by inhibitory codon combinations and poly(A) tracts
Těšina, P., Lessen, L. N., Buschauer, R., Cheng, J., Wu, C. C., Berninghausen, O., Buskirk, A. R., Becker, T. A., Beckmann, R., & Green, R. (2019) · The EMBO Journal · doi:10.15252/embj.2019103365 · Cited by 166 · see citing works
Codon bias confers stability to human mRNAs
Hia, F., Yang, S. F., Shichino, Y., Yoshinaga, M., Murakawa, Y., Vandenbon, A., Fukao, A., Fujiwara, T., Landthaler, M., Natsume, T., et al. (2019) · EMBO Reports · doi:10.15252/embr.201948220 · Cited by 164 · see citing works
Operon mRNAs are organized into ORF-centric structures that predict translation efficiency
Burkhardt, D. H., Rouskin, S., Zhang, Y., Li, G., Weissman, J. S., & Gross, C. A. (2017) · eLife · doi:10.7554/elife.22037 · Cited by 163 · see citing works
Stein, K. C., & Frydman, J. (2018) · Journal of Biological Chemistry · doi:10.1074/jbc.rev118.002814 · Cited by 159 · see citing works
The genetic and biochemical determinants of mRNA degradation rates in mammals
Agarwal, V., & Kelley, D. R. (2022) · Genome Biology · doi:10.1186/s13059-022-02811-x · Cited by 155 · see citing works
Ribosome pausing, a dangerous necessity for co-translational events
Collart, M. A., & Weiss, B. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz763 · Cited by 149 · see citing works
The human methyltransferase ZCCHC4 catalyses N6-methyladenosine modification of 28S ribosomal RNA
Pinto, R., Vågbø, C. B., Jakobsson, M. E., Kim, Y., Baltissen, M. P. A., O’Donohue, M.-F., Guzmán, U. H., Małecki, J., Wu, J., Kirpekar, F., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz1147 · Cited by 146 · see citing works
Ribosome states signal RNA quality control
D’Orazio, K. N., & Green, R. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.02.022 · Cited by 147 · see citing works
The regulation of protein translation and its implications for cancer
Song, P., Yang, F., Jin, H., & Wang, X. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00444-9 · Cited by 144 · see citing works
Insights into the mechanisms of eukaryotic translation gained with ribosome profiling
Andreev, D. E., O’Connor, P. B. F., Loughran, G., Dmitriev, S. E., Baranov, P. V., & Shatsky, I. N. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1190 · Cited by 145 · see citing works
Translation of neutrally evolving peptides provides a basis for de novo gene evolution
Ruiz‐Orera, J., Verdaguer-Grau, P., Villanueva‐Cañas, J. L., Messeguer, X., & Albà, M. M. (2018) · Nature Ecology & Evolution · doi:10.1038/s41559-018-0506-6 · Cited by 136 · see citing works
Miller, D., Brandt, N. J., & Gresham, D. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007406 · Cited by 136 · see citing works
Structural and molecular mechanisms for the control of eukaryotic 5′–3′ mRNA decay
Mugridge, J. S., Coller, J., & Gross, J. D. (2018) · Nature Structural & Molecular Biology · doi:10.1038/s41594-018-0164-z · Cited by 133 · see citing works
Self-citationZhang, H., Vandesompele, J., Braeckmans, K., Smedt, S. C. D., & Remaut, K. (2023) · Chemical Society Reviews · doi:10.1039/d3cs00194f · Cited by 140 · see citing works
Codon optimality-mediated mRNA degradation: Linking translational elongation to mRNA stability
Bae, H., & Coller, J. M. (2022) · Molecular Cell · doi:10.1016/j.molcel.2022.03.032 · Cited by 128 · see citing works
Self-citationConnections Underlying Translation and mRNA Stability
Radhakrishnan, A., & Green, R. (2016) · Journal of Molecular Biology · doi:10.1016/j.jmb.2016.05.025 · Cited by 131 · see citing works
Inosine in Biology and Disease
Srinivasan, S., Torres, A. G., & de Pouplana, L. R. (2021) · Genes · doi:10.3390/genes12040600 · Cited by 124 · see citing works
Coding regions affect mRNA stability in human cells
Narula, A., Ellis, J., Taliaferro, J. M., & Rissland, O. S. (2019) · RNA · doi:10.1261/rna.073239.119 · Cited by 122 · see citing works
The cryo-EM structure of a ribosome–Ski2-Ski3-Ski8 helicase complex
Schmidt, C. M., Kowalinski, E., Shanmuganathan, V., Defenouillère, Q., Braunger, K., Heuer, A., Pech, M., Namane, A., Berninghausen, O., Fromont‐Racine, M., et al. (2016) · Science · doi:10.1126/science.aaf7520 · Cited by 119 · see citing works
SARS-CoV-2 (Covid-19) vaccines structure, mechanisms and effectiveness: A review
Fathizadeh, H., Afshar, S., Masoudi, M. R., Gholizadeh, P., Asgharzadeh, M., Ganbarov, K., Köse, Ş., Yousefi, M., & Kafil, H. S. (2021) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2021.08.076 · Cited by 121 · see citing works
Disome-seq reveals widespread ribosome collisions that promote cotranslational protein folding
Zhao, T., Chen, Y., Li, Y., Wang, J., Chen, S., Gao, N., & Qian, W. (2021) · Genome biology · doi:10.1186/s13059-020-02256-0 · Cited by 121 · see citing works
Self-citationDifferences in codon bias and GC content contribute to the balanced expression of TLR7 and TLR9
Newman, Z. R., Young, J. M., Ingolia, N. T., & Barton, G. M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1518976113 · Cited by 114 · see citing works
Zhao, F., Yu, C.-H., & Liu, Y. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx501 · Cited by 120 · see citing works
Barahimipour, R., Strenkert, D., Neupert, J., Schroda, M., Merchant, S., & Bock, R. (2015) · The Plant Journal · doi:10.1111/tpj.13033 · Cited by 117 · see citing works
Codon and amino acid content are associated with mRNA stability in mammalian cells
Forrest, M. E., Pinkard, O., Martin, S., Sweet, T. J., Hanson, G., & Coller, J. (2020) · PLOS ONE · doi:10.1371/journal.pone.0228730 · Cited by 116 · see citing works
Self-citationFrom structural design to delivery: mRNA therapeutics for cancer immunotherapy
Zhou, F., Huang, L., Li, S., Yang, W., Chen, F., Cai, Z., Liu, X., Xu, W., Lehto, V., Lächelt, U., et al. (2023) · Exploration · doi:10.1002/exp.20210146 · Cited by 115 · see citing works
Chen, F., Wu, P., Deng, S., Zhang, H., Hou, Y., Hu, Z., Zhang, J., Chen, X., & Yang, J. (2020) · Nature Ecology & Evolution · doi:10.1038/s41559-020-1124-7 · Cited by 115 · see citing works
Translation and mRNA Stability Control
Wu, Q., & Bazzini, A. (2023) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-052621-091808 · Cited by 117 · see citing works
The Maternal-to-Zygotic Transition During Vertebrate Development
Yartseva, V., & Giráldez, A. J. (2015) · Current topics in developmental biology/Current Topics in Developmental Biology · doi:10.1016/bs.ctdb.2015.07.020 · Cited by 110 · see citing works
Systemic delivery of mRNA and DNA to the lung using polymer-lipid nanoparticles
Kaczmarek, J. C., Patel, A. K., Rhym, L. H., Palmiero, U. C., Bhat, B., Heartlein, M. W., DeRosa, F., & Anderson, D. G. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.120966 · Cited by 109 · see citing works
Codon usage influences fitness through RNA toxicity
Mittal, P., Brindle, J., Stephen, J. O., Plotkin, J. B., & Kudla, G. R. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1810022115 · Cited by 107 · see citing works
Phosphorylation of the Ribosomal Protein RPL12/uL11 Affects Translation during Mitosis
Imami, K., Milek, M., Bogdanow, B., Yasuda, T., Kastelić, N., Zauber, H., Ishihama, Y., Landthaler, M., & Selbach, M. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.08.019 · Cited by 109 · see citing works
Variation and selection on codon usage bias across an entire subphylum
LaBella, A. L., Opulente, D. A., Steenwyk, J. L., Hittinger, C. T., & Rokas, A. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1008304 · Cited by 107 · see citing works
Codon Usage and Splicing Jointly Influence mRNA Localization
Mordstein, C., Savisaar, R., Young, R. S., Bazile, J., Talmane, L., Luft, J., Liss, M. A., Taylor, M. S., Hurst, L. D., & Kudla, G. R. (2020) · Cell Systems · doi:10.1016/j.cels.2020.03.001 · Cited by 106 · see citing works
- 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
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