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The Canonical Table of the Genetic Code as a periodic system of triplets. Biosystems 2022; 214:104636. [PMID: 35181371 DOI: 10.1016/j.biosystems.2022.104636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 01/29/2022] [Accepted: 01/30/2022] [Indexed: 11/22/2022]
Abstract
The Canonical Table of the Genetic Code (CTGC) is constructed theoretically on the basis of the similarity of PFs (PF) of proteins with the conformation of 4-arc chain graphs (Karasev, 2019). Of the 64 conformations of the graph, specified by the position of the connectivity edges, and the matrices of 6 variables (x1 … x6), xi = (0, 1), 4 blocks of 16 elements each were formed. Then they were coded in the form of triplets based on the correspondence of pairs of variables to four letters of the code: 00 = C, 01 = U, 10 = G, 11 = A, and supplemented based on the known triplet-amino acid assignment. The resulting table is compared with the Periodic Table of Chemical Elements (PTCE). As in the PTCE, this CTGC has an initial element - a triplet that encodes graphs with zero number of connected edges. Within each block, vacancies are filled with connectivity edges in two alternative ways, both in rows and in the columns. As we move from the initial block 00 to the final block 11, there is a sequential filling of vacancies for variables x3x4: 00, 01, 10, 11. In general, the CTGC can be considered as a periodic system of triplets. Comparison with the previously described variety of tables of the genetic code made it possible to conclude that the CTGC more adequately reflects the properties of the genetic code. Prospects for the possible application of this table are being discussed.
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Alexaki A, Hettiarachchi GK, Athey JC, Katneni UK, Simhadri V, Hamasaki-Katagiri N, Nanavaty P, Lin B, Takeda K, Freedberg D, Monroe D, McGill JR, Peters R, Kames JM, Holcomb DD, Hunt RC, Sauna ZE, Gelinas A, Janjic N, DiCuccio M, Bar H, Komar AA, Kimchi-Sarfaty C. Effects of codon optimization on coagulation factor IX translation and structure: Implications for protein and gene therapies. Sci Rep 2019; 9:15449. [PMID: 31664102 PMCID: PMC6820528 DOI: 10.1038/s41598-019-51984-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 10/09/2019] [Indexed: 11/16/2022] Open
Abstract
Synonymous codons occur with different frequencies in different organisms, a phenomenon termed codon usage bias. Codon optimization, a common term for a variety of approaches used widely by the biopharmaceutical industry, involves synonymous substitutions to increase protein expression. It had long been presumed that synonymous variants, which, by definition, do not alter the primary amino acid sequence, have no effect on protein structure and function. However, a critical mass of reports suggests that synonymous codon variations may impact protein conformation. To investigate the impact of synonymous codons usage on protein expression and function, we designed an optimized coagulation factor IX (FIX) variant and used multiple methods to compare its properties to the wild-type FIX upon expression in HEK293T cells. We found that the two variants differ in their conformation, even when controlling for the difference in expression levels. Using ribosome profiling, we identified robust changes in the translational kinetics of the two variants and were able to identify a region in the gene that may have a role in altering the conformation of the protein. Our data have direct implications for codon optimization strategies, for production of recombinant proteins and gene therapies.
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Affiliation(s)
- Aikaterini Alexaki
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Gaya K Hettiarachchi
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - John C Athey
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Upendra K Katneni
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Vijaya Simhadri
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Nobuko Hamasaki-Katagiri
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Puja Nanavaty
- Center for Gene Regulation in Health and Disease, Cleveland State University, Cleveland, OH, USA
| | - Brian Lin
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Kazuyo Takeda
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Darón Freedberg
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Dougald Monroe
- University of North Carolina at Chapel hill, Chapel hill, NC, USA
| | - Joseph R McGill
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | | | - Jacob M Kames
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - David D Holcomb
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Ryan C Hunt
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Zuben E Sauna
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | | | | | - Michael DiCuccio
- National Center of Biotechnology Information, National Institutes of Health, Bethesda, MD, USA
| | - Haim Bar
- Department of Statistics, University of Connecticut, Storrs, CT, USA
| | - Anton A Komar
- Center for Gene Regulation in Health and Disease, Cleveland State University, Cleveland, OH, USA
| | - Chava Kimchi-Sarfaty
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
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Tuorto F, Legrand C, Cirzi C, Federico G, Liebers R, Müller M, Ehrenhofer-Murray AE, Dittmar G, Gröne HJ, Lyko F. Queuosine-modified tRNAs confer nutritional control of protein translation. EMBO J 2018; 37:embj.201899777. [PMID: 30093495 PMCID: PMC6138434 DOI: 10.15252/embj.201899777] [Citation(s) in RCA: 119] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 07/04/2018] [Accepted: 07/06/2018] [Indexed: 12/24/2022] Open
Abstract
Global protein translation as well as translation at the codon level can be regulated by tRNA modifications. In eukaryotes, levels of tRNA queuosinylation reflect the bioavailability of the precursor queuine, which is salvaged from the diet and gut microbiota. We show here that nutritionally determined Q‐tRNA levels promote Dnmt2‐mediated methylation of tRNA Asp and control translational speed of Q‐decoded codons as well as at near‐cognate codons. Deregulation of translation upon queuine depletion results in unfolded proteins that trigger endoplasmic reticulum stress and activation of the unfolded protein response, both in cultured human cell lines and in germ‐free mice fed with a queuosine‐deficient diet. Taken together, our findings comprehensively resolve the role of this anticodon tRNA modification in the context of native protein translation and describe a novel mechanism that links nutritionally determined modification levels to effective polypeptide synthesis and cellular homeostasis.
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Affiliation(s)
- Francesca Tuorto
- Division of Epigenetics, DKFZ-ZMBH Alliance, German Cancer Research Center, Heidelberg, Germany
| | - Carine Legrand
- Division of Epigenetics, DKFZ-ZMBH Alliance, German Cancer Research Center, Heidelberg, Germany
| | - Cansu Cirzi
- Division of Epigenetics, DKFZ-ZMBH Alliance, German Cancer Research Center, Heidelberg, Germany.,Faculty of Biosciences, University of Heidelberg, Heidelberg, Germany
| | - Giuseppina Federico
- Department of Cellular and Molecular Pathology, German Cancer Research Center, Heidelberg, Germany
| | - Reinhard Liebers
- Division of Epigenetics, DKFZ-ZMBH Alliance, German Cancer Research Center, Heidelberg, Germany.,Faculty of Biosciences, University of Heidelberg, Heidelberg, Germany
| | - Martin Müller
- Institut für Biologie, Humboldt-Universität zu Berlin, Berlin, Germany
| | | | - Gunnar Dittmar
- Proteome and Genome Research Unit, Department of Oncology, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Hermann-Josef Gröne
- Department of Cellular and Molecular Pathology, German Cancer Research Center, Heidelberg, Germany
| | - Frank Lyko
- Division of Epigenetics, DKFZ-ZMBH Alliance, German Cancer Research Center, Heidelberg, Germany
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