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Arabfard M, Behmard E, Maghsoudloo M, Dadgar E, Parvin S, Bagheri H. Identifying candidate RNA-seq biomarkers for severity discrimination in chemical injuries: A machine learning and molecular dynamics approach. Int Immunopharmacol 2025; 148:114090. [PMID: 39847951 DOI: 10.1016/j.intimp.2025.114090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2024] [Revised: 01/11/2025] [Accepted: 01/11/2025] [Indexed: 01/25/2025]
Abstract
INTRODUCTION Biomarkers play a crucial role across various fields by providing insights into biological responses to interventions. High-throughput gene expression profiling technologies facilitate the discovery of data-driven biomarkers through extensive datasets. This study focuses on identifying biomarkers in gene expression data related to chemical injuries by mustard gas, covering a spectrum from healthy individuals to severe injuries. MATERIALS AND METHODS The study utilized RNA-Seq data comprising 52 expression data samples for 54,583 gene transcripts. These samples were categorized into four classes based on the GOLD classification for chemically injured individuals: Severe (n = 14), Moderate (n = 11), Mild (n = 16), and healthy controls (n = 11). Data preparation involved examining an Excel file created in the R programming environment using MLSeq and devtools packages. Feature selection was performed using Genetic Algorithm and Simulated Annealing, with Random Forest algorithm employed for classification. Ab initio methods ensured computational efficiency and result accuracy, while molecular dynamics simulation acted as a virtual experiment bridging the gap between experimental and theoretical experiences. RESULTS A total of 12 models were created, each introducing a list of differentially expressed genes as potential biomarkers. The performance of models varied across group comparisons, with the Genetic Algorithm generally outperforming Simulated Annealing in most cases. For the Severe vs. Moderate group, GA achieved the best performance with an accuracy of 94.38%, recall of 91.64%, and specificity of 97.10%. The results highlight the effectiveness of GA in most group comparisons, while SA performed better in specific cases involving Moderate and Mild groups. These biomarkers were evaluated against the gene expression data to assess their expression changes between different groups of chemically injured individuals. Four genes were selected based on level expression for further investigation: CXCR1, EIF2B2, RAD51, and RXFP2. The expression levels of these genes were analyzed to determine their differential expression between the groups. CONCLUSION This study was designed as a computational effort to identify diagnostic biomarkers in basic biological system research. Our findings proposed a list of discriminative biomarkers capable of distinguishing between different groups of chemically injured individuals. The identification of key genes highlights the potential for biomarkers to serve as indicators of chemical injury severity, warranting further investigation to validate their clinical relevance and utility in diagnosis and treatment.
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Affiliation(s)
- Masoud Arabfard
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
| | - Esmaeil Behmard
- School of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran
| | - Mazaher Maghsoudloo
- Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, Luzhou 646000 Sichuan, China
| | - Emad Dadgar
- Students' Research Committee, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Shahram Parvin
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Hasan Bagheri
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
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Lee M, Wakigawa T, Jia Q, Liu C, Huang R, Huang S, Nagao A, Suzuki T, Tomita K, Iwasaki S, Takeuchi-Tomita N. Selection of initiator tRNA and start codon by mammalian mitochondrial initiation factor 3 in leaderless mRNA translation. Nucleic Acids Res 2025; 53:gkaf021. [PMID: 39878211 PMCID: PMC11775629 DOI: 10.1093/nar/gkaf021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2024] [Revised: 01/04/2025] [Accepted: 01/28/2025] [Indexed: 01/31/2025] Open
Abstract
The mammalian mitochondrial protein synthesis system produces 13 essential subunits of oxidative phosphorylation (OXPHOS) complexes. Translation initiation in mammalian mitochondria is characterized by the use of leaderless messenger RNAs (mRNAs) and non-AUG start codons, where the proofreading function of IF-3mt still remains elusive. Here, we developed a reconstituted mammalian mitochondrial translation system using in vitro transcribed and native mitochondrial transfer RNAs (tRNAs) to investigate IF-3mt's proofreading function. Similar to bacterial IF-3, IF-3mt permits an initiator tRNA to participate in initiation by discriminating the three G-C pairs in its anticodon stem, and by the cognate interactions of its anticodon with the AUG start codon. As a result, IF-3mt promotes the accurate initiation of leaderless mRNAs. Nevertheless, IF-3mt can also facilitate initiation from the non-AUG(AUA) start codon through its unique N- and C-terminal extensions, in concert with the 5-methylcytidine (m5C) or 5-formylcytidine (f5C) modification at the anticodon wobble position of mt-tRNAMet. This is partly because the IF-3mt-specific N- and C-terminal extensions and the KKGK-motif favor leaderless mRNA initiation and relax non-AUG start codon discrimination. Analyses of IF-3mt-depleted human cells revealed that IF-3mt indeed participates in translating the open reading frames (ORFs) of leaderless mRNAs, as well as the internal ORFs of dicistronic mRNAs.
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MESH Headings
- Codon, Initiator/metabolism
- RNA, Messenger/metabolism
- RNA, Messenger/genetics
- Humans
- RNA, Transfer, Met/metabolism
- RNA, Transfer, Met/genetics
- RNA, Transfer, Met/chemistry
- Mitochondria/genetics
- Mitochondria/metabolism
- Animals
- Protein Biosynthesis
- Peptide Chain Initiation, Translational
- Anticodon
- RNA, Mitochondrial
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Affiliation(s)
- Muhoon Lee
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba 277-8562, Japan
| | - Taisei Wakigawa
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama 351-0198, Japan
| | - Qimin Jia
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba 277-8562, Japan
| | - Chang Liu
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba 277-8562, Japan
| | - Ruiyuan Huang
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba 277-8562, Japan
| | - Shuai Huang
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba 277-8562, Japan
| | - Asuteka Nagao
- Department of Chemistry and Biotechnology, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Tsutomu Suzuki
- Department of Chemistry and Biotechnology, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Kozo Tomita
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba 277-8562, Japan
| | - Shintaro Iwasaki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba 277-8562, Japan
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama 351-0198, Japan
| | - Nono Takeuchi-Tomita
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba 277-8562, Japan
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Yu H, Liang J, Bao Y, Chen K, Jin Y, Li X, Chen H, Gou Y, Lu K, Lin Z. Ginkgolide A enhances FoxO1 expression and reduces endoplasmic reticulum stress to mitigate osteoarthritis in mice. Int Immunopharmacol 2024; 142:113116. [PMID: 39288630 DOI: 10.1016/j.intimp.2024.113116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Revised: 08/29/2024] [Accepted: 09/05/2024] [Indexed: 09/19/2024]
Abstract
This study aimed to investigate the effects of Ginkgolide A (GA) on chondrocytes under oxidative stress and to elucidate its potential molecular mechanisms. Using a destabilization of the medial meniscus (DMM) model in mice and an in vitro osteoarthritis (OA) model induced by tert-butyl hydroperoxide (TBHP) in chondrocytes, we validated the therapeutic efficacy and underlying mechanisms of GA. Potential OA targets of GA were identified through network pharmacology, Gene Ontology (GO) analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Further exploration into the effects on endoplasmic reticulum stress (ERS), apoptosis, extracellular matrix (ECM) degradation, and Forkhead Box O1 (FoxO1) related pathways was conducted using Western blotting, immunofluorescence, TUNEL staining, flow cytometry, X-ray, micro-computed tomography (Micro-CT) analysis, and histological staining. The results demonstrated that GA upregulated FoxO1 expression and inhibited ERS-related signaling pathways, thereby reducing apoptosis and ECM degradation. In conclusion, GA significantly alleviated OA symptoms both in vitro and in vivo, suggesting its potential as a therapeutic agent for OA.
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Affiliation(s)
- Heng Yu
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China; Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, Zhejiang Province, China; The Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Jinghao Liang
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China; Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, Zhejiang Province, China; The Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Yingying Bao
- The Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Kaiye Chen
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China; Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, Zhejiang Province, China; The Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Yangcan Jin
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China; Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, Zhejiang Province, China; The Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Xiang Li
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China; Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, Zhejiang Province, China; The Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Hao Chen
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China; Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, Zhejiang Province, China; The Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Yong Gou
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China; Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, Zhejiang Province, China; The Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Keyu Lu
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China; Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, Zhejiang Province, China; The Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Zhongke Lin
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China; Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, Zhejiang Province, China; The Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
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Kaneko S, Miyoshi K, Tomuro K, Terauchi M, Tanaka R, Kondo S, Tani N, Ishiguro KI, Toyoda A, Kamikouchi A, Noguchi H, Iwasaki S, Saito K. Mettl1-dependent m 7G tRNA modification is essential for maintaining spermatogenesis and fertility in Drosophila melanogaster. Nat Commun 2024; 15:8147. [PMID: 39317727 PMCID: PMC11422498 DOI: 10.1038/s41467-024-52389-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 09/03/2024] [Indexed: 09/26/2024] Open
Abstract
Modification of guanosine to N7-methylguanosine (m7G) in the variable loop region of tRNA is catalyzed by the METTL1/WDR4 heterodimer and stabilizes target tRNA. Here, we reveal essential functions of Mettl1 in Drosophila fertility. Knockout of Mettl1 (Mettl1-KO) causes no major effect on the development of non-gonadal tissues, but abolishes the production of elongated spermatids and mature sperm, which is fully rescued by expression of a Mettl1-transgene, but not a catalytic-dead Mettl1 transgene. This demonstrates that Mettl1-dependent m7G is required for spermatogenesis. Mettl1-KO results in a loss of m7G modification on a subset of tRNAs and decreased tRNA abundance. Ribosome profiling shows that Mettl1-KO led to ribosomes stalling at codons decoded by tRNAs that were reduced in abundance. Mettl1-KO also significantly reduces the translation efficiency of genes involved in elongated spermatid formation and sperm stability. Germ cell-specific expression of Mettl1 rescues disrupted m7G tRNA modification and tRNA abundance in Mettl1-KO testes but not in non-gonadal tissues. Ribosome stalling is much less detectable in non-gonadal tissues than in Mettl1-KO testes. These findings reveal a developmental role for m7G tRNA modification and indicate that m7G modification-dependent tRNA abundance differs among tissues.
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Affiliation(s)
- Shunya Kaneko
- Department of Chromosome Science, National Institute of Genetics, Research Organization of Information and Systems (ROIS), Shizuoka, Japan
- Graduate Institute for Advanced Studies, SOKENDAI, Shizuoka, Japan
| | - Keita Miyoshi
- Department of Chromosome Science, National Institute of Genetics, Research Organization of Information and Systems (ROIS), Shizuoka, Japan
- Graduate Institute for Advanced Studies, SOKENDAI, Shizuoka, Japan
| | - Kotaro Tomuro
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Saitama, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
| | - Makoto Terauchi
- Center for Genome Informatics, Joint Support-Center for Data Science Research, Research Organization of Information and Systems (ROIS), Shizuoka, Japan
| | - Ryoya Tanaka
- Graduate School of Science, Nagoya University, Nagoya, Aichi, Japan
- Institute for Advanced Research, Nagoya University, Nagoya, Aichi, Japan
| | - Shu Kondo
- Department of Biological Science and Technology, Tokyo University of Science, Tokyo, Japan
| | - Naoki Tani
- Liaison Laboratory Research Promotion Center, Institute of Molecular Embryology and Genetics (IMEG), Kumamoto University, Kumamoto, Japan
| | - Kei-Ichiro Ishiguro
- Department of Chromosome Biology, Institute of Molecular Embryology and Genetics (IMEG), Kumamoto University, Kumamoto, Japan
| | - Atsushi Toyoda
- Department of Genomics and Evolutionary Biology, National Institute of Genetics, Research Organization of Information and Systems (ROIS), Shizuoka, Japan
| | - Azusa Kamikouchi
- Graduate School of Science, Nagoya University, Nagoya, Aichi, Japan
- Institute for Advanced Research, Nagoya University, Nagoya, Aichi, Japan
- Institute of Transformative Bio-Molecules (WPI-ITbM), Nagoya University, Nagoya, Aichi, Japan
| | - Hideki Noguchi
- Center for Genome Informatics, Joint Support-Center for Data Science Research, Research Organization of Information and Systems (ROIS), Shizuoka, Japan
| | - Shintaro Iwasaki
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Saitama, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
| | - Kuniaki Saito
- Department of Chromosome Science, National Institute of Genetics, Research Organization of Information and Systems (ROIS), Shizuoka, Japan.
- Graduate Institute for Advanced Studies, SOKENDAI, Shizuoka, Japan.
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5
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Saito H, Handa Y, Chen M, Schneider-Poetsch T, Shichino Y, Takahashi M, Romo D, Yoshida M, Fürstner A, Ito T, Fukuzawa K, Iwasaki S. DMDA-PatA mediates RNA sequence-selective translation repression by anchoring eIF4A and DDX3 to GNG motifs. Nat Commun 2024; 15:7418. [PMID: 39223140 PMCID: PMC11369270 DOI: 10.1038/s41467-024-51635-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 08/11/2024] [Indexed: 09/04/2024] Open
Abstract
Small-molecule compounds that elicit mRNA-selective translation repression have attracted interest due to their potential for expansion of druggable space. However, only a limited number of examples have been reported to date. Here, we show that desmethyl desamino pateamine A (DMDA-PatA) represses translation in an mRNA-selective manner by clamping eIF4A, a DEAD-box RNA-binding protein, onto GNG motifs. By systematically comparing multiple eIF4A inhibitors by ribosome profiling, we found that DMDA-PatA has unique mRNA selectivity for translation repression. Unbiased Bind-n-Seq reveals that DMDA-PatA-targeted eIF4A exhibits a preference for GNG motifs in an ATP-independent manner. This unusual RNA binding sterically hinders scanning by 40S ribosomes. A combination of classical molecular dynamics simulations and quantum chemical calculations, and the subsequent development of an inactive DMDA-PatA derivative reveals that the positive charge of the tertiary amine on the trienyl arm induces G selectivity. Moreover, we identified that DDX3, another DEAD-box protein, is an alternative DMDA-PatA target with the same effects on eIF4A. Our results provide an example of the sequence-selective anchoring of RNA-binding proteins and the mRNA-selective inhibition of protein synthesis by small-molecule compounds.
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Grants
- Incentive Research Projects MEXT | RIKEN
- JP23gm1410001 Japan Agency for Medical Research and Development (AMED)
- JP23H00095 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP23H04268 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP18H05503 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- S10 OD018174 NIH HHS
- R01 GM052964 NIGMS NIH HHS
- JP21H05281 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- Pioneering Projects MEXT | RIKEN
- JP23K05648 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP19H05640 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP21H05734 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- R37 GM052964 NIGMS NIH HHS
- JP23H02415 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP24H02307 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP20H05784 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- R29 GM052964 NIGMS NIH HHS
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Affiliation(s)
- Hironori Saito
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan
| | - Yuma Handa
- School of Pharmacy and Pharmaceutical Sciences, Hoshi University, Shinagawa, Tokyo, Japan
| | - Mingming Chen
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan
| | - Tilman Schneider-Poetsch
- Chemical Genomics Research Group, RIKEN Center for Sustainable Resource Science, Wako, Saitama, Japan
| | - Yuichi Shichino
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, Japan
| | - Mari Takahashi
- Laboratory for Translation Structural Biology, RIKEN Center for Biosystems Dynamics Research, Tsurumi-ku, Yokohama, Japan
| | - Daniel Romo
- Department of Chemistry & Biochemistry and Baylor Synthesis and Drug-Lead Discovery Laboratory, Baylor University, Waco, TX, USA
| | - Minoru Yoshida
- Chemical Genomics Research Group, RIKEN Center for Sustainable Resource Science, Wako, Saitama, Japan
- Office of University Professors, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Alois Fürstner
- Max-Planck-Institut für Kohlenforschung, Mülheim/Ruhr, Germany
| | - Takuhiro Ito
- Laboratory for Translation Structural Biology, RIKEN Center for Biosystems Dynamics Research, Tsurumi-ku, Yokohama, Japan
| | - Kaori Fukuzawa
- School of Pharmacy and Pharmaceutical Sciences, Hoshi University, Shinagawa, Tokyo, Japan
- Graduate School of Pharmaceutical Sciences, Osaka University, Suita, Osaka, Japan
| | - Shintaro Iwasaki
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, Japan.
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
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Cui H, Shi Q, Macarios CM, Schimmel P. Metabolic regulation of mRNA splicing. Trends Cell Biol 2024; 34:756-770. [PMID: 38431493 DOI: 10.1016/j.tcb.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/30/2024] [Accepted: 02/01/2024] [Indexed: 03/05/2024]
Abstract
Alternative mRNA splicing enables the diversification of the proteome from a static genome and confers plasticity and adaptiveness on cells. Although this is often explored in development, where hard-wired programs drive the differentiation and specialization, alternative mRNA splicing also offers a way for cells to react to sudden changes in outside stimuli such as small-molecule metabolites. Fluctuations in metabolite levels and availability in particular convey crucial information to which cells react and adapt. We summarize and highlight findings surrounding the metabolic regulation of mRNA splicing. We discuss the principles underlying the biochemistry and biophysical properties of mRNA splicing, and propose how these could intersect with metabolite levels. Further, we present examples in which metabolites directly influence RNA-binding proteins and splicing factors. We also discuss the interplay between alternative mRNA splicing and metabolite-responsive signaling pathways. We hope to inspire future research to obtain a holistic picture of alternative mRNA splicing in response to metabolic cues.
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Affiliation(s)
- Haissi Cui
- Department of Chemistry, University of Toronto, Toronto, ON M5S 3H6, Canada.
| | - Qingyu Shi
- Department of Chemistry, University of Toronto, Toronto, ON M5S 3H6, Canada
| | | | - Paul Schimmel
- Department of Molecular Medicine, Scripps Research Institute, La Jolla, CA 92037, USA.
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Tresky R, Miyamoto Y, Nagayoshi Y, Yabuki Y, Araki K, Takahashi Y, Komohara Y, Ge H, Nishiguchi K, Fukuda T, Kaneko H, Maeda N, Matsuura J, Iwasaki S, Sakakida K, Shioda N, Wei FY, Tomizawa K, Chujo T. TRMT10A dysfunction perturbs codon translation of initiator methionine and glutamine and impairs brain functions in mice. Nucleic Acids Res 2024; 52:9230-9246. [PMID: 38950903 PMCID: PMC11347157 DOI: 10.1093/nar/gkae520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 05/09/2024] [Accepted: 06/04/2024] [Indexed: 07/03/2024] Open
Abstract
In higher eukaryotes, tRNA methyltransferase 10A (TRMT10A) is responsible for N1-methylguanosine modification at position nine of various cytoplasmic tRNAs. Pathogenic mutations in TRMT10A cause intellectual disability, microcephaly, diabetes, and short stature in humans, and generate cytotoxic tRNA fragments in cultured cells; however, it is not clear how TRMT10A supports codon translation or brain functions. Here, we generated Trmt10a null mice and showed that tRNAGln(CUG) and initiator methionine tRNA levels were universally decreased in various tissues; the same was true in a human cell line lacking TRMT10A. Ribosome profiling of mouse brain revealed that dysfunction of TRMT10A causes ribosome slowdown at the Gln(CAG) codon and increases translation of Atf4 due to higher frequency of leaky scanning of its upstream open reading frames. Broadly speaking, translation of a subset of mRNAs, especially those for neuronal structures, is perturbed in the mutant brain. Despite not showing discernable defects in the pancreas, liver, or kidney, Trmt10a null mice showed lower body weight and smaller hippocampal postsynaptic densities, which is associated with defective synaptic plasticity and memory. Taken together, our study provides mechanistic insight into the roles of TRMT10A in the brain, and exemplifies the importance of universal tRNA modification during translation of specific codons.
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Affiliation(s)
- Roland Tresky
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Yuta Miyamoto
- Department of Anatomy and Neurobiology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Yu Nagayoshi
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
- Department of Nephrology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Yasushi Yabuki
- Department of Genomic Neurology, Institute of Molecular Embryology and Genetics, Kumamoto University, Kumamoto 860-0811, Japan
| | - Kimi Araki
- Division of Developmental Genetics, Institute of Resource Development and Analysis, Kumamoto University, Kumamoto 860-0811, Japan
| | - Yukie Takahashi
- Department of Anatomy and Neurobiology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Yoshihiro Komohara
- Department of Cell Pathology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Huicong Ge
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Kayo Nishiguchi
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
- Department of Nephrology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Takaichi Fukuda
- Department of Anatomy and Neurobiology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Hitomi Kaneko
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Nobuko Maeda
- Department of Gastroenterology and Hepatology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Jin Matsuura
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
- Department of Neurosurgery, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Shintaro Iwasaki
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Saitama 351-0198, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8561, Japan
| | - Kourin Sakakida
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
- Department of Metabolic Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Norifumi Shioda
- Department of Genomic Neurology, Institute of Molecular Embryology and Genetics, Kumamoto University, Kumamoto 860-0811, Japan
| | - Fan-Yan Wei
- Department of Modomics Biology and Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Kazuhito Tomizawa
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Takeshi Chujo
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan
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8
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Tomuro K, Mito M, Toh H, Kawamoto N, Miyake T, Chow SYA, Doi M, Ikeuchi Y, Shichino Y, Iwasaki S. Calibrated ribosome profiling assesses the dynamics of ribosomal flux on transcripts. Nat Commun 2024; 15:7061. [PMID: 39187487 PMCID: PMC11347596 DOI: 10.1038/s41467-024-51258-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 08/02/2024] [Indexed: 08/28/2024] Open
Abstract
Ribosome profiling, which is based on deep sequencing of ribosome footprints, has served as a powerful tool for elucidating the regulatory mechanism of protein synthesis. However, the current method has substantial issues: contamination by rRNAs and the lack of appropriate methods to measure ribosome numbers in transcripts. Here, we overcome these hurdles through the development of "Ribo-FilterOut", which is based on the separation of footprints from ribosome subunits by ultrafiltration, and "Ribo-Calibration", which relies on external spike-ins of stoichiometrically defined mRNA-ribosome complexes. A combination of these approaches estimates the number of ribosomes on a transcript, the translation initiation rate, and the overall number of translation events before its decay, all in a genome-wide manner. Moreover, our method reveals the allocation of ribosomes under heat shock stress, during aging, and across cell types. Our strategy of modified ribosome profiling measures kinetic and stoichiometric parameters of cellular translation across the transcriptome.
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Grants
- JP20H05784 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP24H02307 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP20H05782 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP24H02306 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP20H05786 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP24H02307 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP21H05734 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP23H04268 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP20gm1410001 Japan Agency for Medical Research and Development (AMED)
- JP20gm1410001 Japan Agency for Medical Research and Development (AMED)
- JP23gm6910005 Japan Agency for Medical Research and Development (AMED)
- JP22fk0108570 Japan Agency for Medical Research and Development (AMED)
- JP23H02415 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP23H00095 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP21K15023 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP23K05648 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP22K20765 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP23K14173 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP23KJ2178 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP23KJ2175 MEXT | Japan Society for the Promotion of Science (JSPS)
- Pioneering Project MEXT | RIKEN
- RIKEN TRIP initiative "TRIP-AGIS" MEXT | RIKEN
- Pioneering Project MEXT | RIKEN
- JPMJBS2418 MEXT | Japan Science and Technology Agency (JST)
- JPMJFR226F MEXT | Japan Science and Technology Agency (JST)
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Affiliation(s)
- Kotaro Tomuro
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, 351-0198, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, 277-8561, Japan
| | - Mari Mito
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, 351-0198, Japan
| | - Hirotaka Toh
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, 351-0198, Japan
| | - Naohiro Kawamoto
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, 351-0198, Japan
| | - Takahito Miyake
- Department of Systems Biology, Graduate School of Pharmaceutical Sciences, Kyoto University, Sakyō-ku, Kyoto, 606-8501, Japan
| | - Siu Yu A Chow
- Institute of Industrial Science, The University of Tokyo, Meguro-ku, Tokyo, 153-8505, Japan
| | - Masao Doi
- Department of Systems Biology, Graduate School of Pharmaceutical Sciences, Kyoto University, Sakyō-ku, Kyoto, 606-8501, Japan
| | - Yoshiho Ikeuchi
- Institute of Industrial Science, The University of Tokyo, Meguro-ku, Tokyo, 153-8505, Japan
- Department of Chemistry and Biotechnology, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Institute for AI and Beyond, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Yuichi Shichino
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, 351-0198, Japan.
| | - Shintaro Iwasaki
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, 351-0198, Japan.
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, 277-8561, Japan.
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9
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Gibbs VJ, Lin YH, Ghuge AA, Anderson RA, Schiemann AH, Conaglen L, Sansom BJM, da Silva RC, Sattlegger E. GCN2 in Viral Defence and the Subversive Tactics Employed by Viruses. J Mol Biol 2024; 436:168594. [PMID: 38724002 DOI: 10.1016/j.jmb.2024.168594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/01/2024] [Accepted: 05/01/2024] [Indexed: 06/10/2024]
Abstract
The recent SARS-CoV-2 pandemic and associated COVID19 disease illustrates the important role of viral defence mechanisms in ensuring survival and recovery of the host or patient. Viruses absolutely depend on the host's protein synthesis machinery to replicate, meaning that impeding translation is a powerful way to counteract viruses. One major approach used by cells to obstruct protein synthesis is to phosphorylate the alpha subunit of eukaryotic translation initiation factor 2 (eIF2α). Mammals possess four different eIF2α-kinases: PKR, HRI, PEK/PERK, and GCN2. While PKR is currently considered the principal eIF2α-kinase involved in viral defence, the other eIF2α-kinases have also been found to play significant roles. Unsurprisingly, viruses have developed mechanisms to counteract the actions of eIF2α-kinases, or even to exploit them to their benefit. While some of these virulence factors are specific to one eIF2α-kinase, such as GCN2, others target all eIF2α-kinases. This review critically evaluates the current knowledge of viral mechanisms targeting the eIF2α-kinase GCN2. A detailed and in-depth understanding of the molecular mechanisms by which viruses evade host defence mechanisms will help to inform the development of powerful anti-viral measures.
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Affiliation(s)
- Victoria J Gibbs
- School of Food Technology and Natural Sciences, Massey University, Palmerston North, New Zealand
| | - Yu H Lin
- School of Food Technology and Natural Sciences, Massey University, Palmerston North, New Zealand
| | - Aditi A Ghuge
- School of Food Technology and Natural Sciences, Massey University, Palmerston North, New Zealand
| | - Reuben A Anderson
- School of Food Technology and Natural Sciences, Massey University, Palmerston North, New Zealand
| | - Anja H Schiemann
- School of Food Technology and Natural Sciences, Massey University, Palmerston North, New Zealand
| | - Layla Conaglen
- School of Food Technology and Natural Sciences, Massey University, Palmerston North, New Zealand
| | - Bianca J M Sansom
- School of Natural Sciences, Massey University, Auckland, New Zealand
| | - Richard C da Silva
- School of Natural Sciences, Massey University, Auckland, New Zealand; Genome Biology and Epigenetics, Department of Biology, Utrecht University, Utrecht, the Netherlands
| | - Evelyn Sattlegger
- School of Food Technology and Natural Sciences, Massey University, Palmerston North, New Zealand; School of Natural Sciences, Massey University, Auckland, New Zealand; Maurice Wilkins Centre for Molecular BioDiscovery, Palmerston North, New Zealand.
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10
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Lu HJ, Koju N, Sheng R. Mammalian integrated stress responses in stressed organelles and their functions. Acta Pharmacol Sin 2024; 45:1095-1114. [PMID: 38267546 PMCID: PMC11130345 DOI: 10.1038/s41401-023-01225-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 12/30/2023] [Indexed: 01/26/2024]
Abstract
The integrated stress response (ISR) triggered in response to various cellular stress enables mammalian cells to effectively cope with diverse stressful conditions while maintaining their normal functions. Four kinases (PERK, PKR, GCN2, and HRI) of ISR regulate ISR signaling and intracellular protein translation via mediating the phosphorylation of eukaryotic translation initiation factor 2 α (eIF2α) at Ser51. Early ISR creates an opportunity for cells to repair themselves and restore homeostasis. This effect, however, is reversed in the late stages of ISR. Currently, some studies have shown the non-negligible impact of ISR on diseases such as ischemic diseases, cognitive impairment, metabolic syndrome, cancer, vanishing white matter, etc. Hence, artificial regulation of ISR and its signaling with ISR modulators becomes a promising therapeutic strategy for relieving disease symptoms and improving clinical outcomes. Here, we provide an overview of the essential mechanisms of ISR and describe the ISR-related pathways in organelles including mitochondria, endoplasmic reticulum, Golgi apparatus, and lysosomes. Meanwhile, the regulatory effects of ISR modulators and their potential application in various diseases are also enumerated.
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Affiliation(s)
- Hao-Jun Lu
- Department of Pharmacology and Laboratory of Aging and Nervous Diseases, Jiangsu Key Laboratory of Neuropsychiatric Diseases, College of Pharmaceutical Sciences of Soochow University, Suzhou, 215123, China
| | - Nirmala Koju
- Department of Pharmacology and Laboratory of Aging and Nervous Diseases, Jiangsu Key Laboratory of Neuropsychiatric Diseases, College of Pharmaceutical Sciences of Soochow University, Suzhou, 215123, China
| | - Rui Sheng
- Department of Pharmacology and Laboratory of Aging and Nervous Diseases, Jiangsu Key Laboratory of Neuropsychiatric Diseases, College of Pharmaceutical Sciences of Soochow University, Suzhou, 215123, China.
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11
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Lawrence RE, Shoemaker SR, Deal A, Sangwan S, Anand AA, Wang L, Marqusee S, Walter P. A helical fulcrum in eIF2B coordinates allosteric regulation of stress signaling. Nat Chem Biol 2024; 20:422-431. [PMID: 37945896 PMCID: PMC10972756 DOI: 10.1038/s41589-023-01453-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 09/17/2023] [Indexed: 11/12/2023]
Abstract
The integrated stress response (ISR) enables cells to survive a variety of acute stresses, but chronic activation of the ISR underlies age-related diseases. ISR signaling downregulates translation and activates expression of stress-responsive factors that promote return to homeostasis and is initiated by inhibition of the decameric guanine nucleotide exchange factor eIF2B. Conformational and assembly transitions regulate eIF2B activity, but the allosteric mechanisms controlling these dynamic transitions and mediating the therapeutic effects of the small-molecule ISR inhibitor ISRIB are unknown. Using hydrogen-deuterium exchange-mass spectrometry and cryo-electron microscopy, we identified a central α-helix whose orientation allosterically coordinates eIF2B conformation and assembly. Biochemical and cellular signaling assays show that this 'switch-helix' controls eIF2B activity and signaling. In sum, the switch-helix acts as a fulcrum of eIF2B conformational regulation and is a highly conserved actuator of ISR signal transduction. This work uncovers a conserved allosteric mechanism and unlocks new therapeutic possibilities for ISR-linked diseases.
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Affiliation(s)
- Rosalie E Lawrence
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
| | - Sophie R Shoemaker
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Aniliese Deal
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Altos Laboratories, Bay Area Institute of Science, Redwood City, CA, USA
| | - Smriti Sangwan
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Aditya A Anand
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Genentech, Inc., South San Francisco, CA, USA
| | - Lan Wang
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
- The Hong Kong University of Science and Technology, Hong Kong, Hong Kong.
| | - Susan Marqusee
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA.
- Department of Chemistry, University of California, Berkeley, Berkeley, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
- California Institute for Quantitative Biosciences, University of California, Berkeley, Berkeley, CA, USA.
| | - Peter Walter
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
- Altos Laboratories, Bay Area Institute of Science, Redwood City, CA, USA.
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12
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Apostolopoulos A, Kawamoto N, Chow SYA, Tsuiji H, Ikeuchi Y, Shichino Y, Iwasaki S. dCas13-mediated translational repression for accurate gene silencing in mammalian cells. Nat Commun 2024; 15:2205. [PMID: 38467613 PMCID: PMC10928199 DOI: 10.1038/s41467-024-46412-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 02/27/2024] [Indexed: 03/13/2024] Open
Abstract
Current gene silencing tools based on RNA interference (RNAi) or, more recently, clustered regularly interspaced short palindromic repeats (CRISPR)‒Cas13 systems have critical drawbacks, such as off-target effects (RNAi) or collateral mRNA cleavage (CRISPR‒Cas13). Thus, a more specific method of gene knockdown is needed. Here, we develop CRISPRδ, an approach for translational silencing, harnessing catalytically inactive Cas13 proteins (dCas13). Owing to its tight association with mRNA, dCas13 serves as a physical roadblock for scanning ribosomes during translation initiation and does not affect mRNA stability. Guide RNAs covering the start codon lead to the highest efficacy regardless of the translation initiation mechanism: cap-dependent, internal ribosome entry site (IRES)-dependent, or repeat-associated non-AUG (RAN) translation. Strikingly, genome-wide ribosome profiling reveals the ultrahigh gene silencing specificity of CRISPRδ. Moreover, the fusion of a translational repressor to dCas13 further improves the performance. Our method provides a framework for translational repression-based gene silencing in eukaryotes.
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Grants
- JP20H05784 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP21H05278 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP21H05734 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP23H04268 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP20H05786 Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- JP23H02415 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP20K07016 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP23K05648 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP21K15023 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP23KJ2175 MEXT | Japan Society for the Promotion of Science (JSPS)
- JP20gm1410001 Japan Agency for Medical Research and Development (AMED)
- JP20gm1410001 Japan Agency for Medical Research and Development (AMED)
- JP23gm6910005h0001 Japan Agency for Medical Research and Development (AMED)
- JP23gm6910005 Japan Agency for Medical Research and Development (AMED)
- JP20gm1410001 Japan Agency for Medical Research and Development (AMED)
- Pioneering Projects MEXT | RIKEN
- Pioneering Projects MEXT | RIKEN
- Exploratory Research Center on Life and Living Systems (ExCELLS), 23EX601
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Affiliation(s)
- Antonios Apostolopoulos
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, 277-8561, Japan
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, 351-0198, Japan
| | - Naohiro Kawamoto
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, 351-0198, Japan
| | - Siu Yu A Chow
- Institute of Industrial Science, The University of Tokyo, Meguro-ku, Tokyo, 153-8505, Japan
| | - Hitomi Tsuiji
- Education and Research Division of Pharmacy, School of Pharmacy, Aichi Gakuin University, Nagoya, Aichi, 464-8650, Japan
| | - Yoshiho Ikeuchi
- Institute of Industrial Science, The University of Tokyo, Meguro-ku, Tokyo, 153-8505, Japan
- Department of Chemistry and Biotechnology, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan
- Institute for AI and Beyond, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Yuichi Shichino
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, 351-0198, Japan.
| | - Shintaro Iwasaki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, 277-8561, Japan.
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama, 351-0198, Japan.
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13
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Chen Z, Wang F, Chen B, Wu G, Tian D, Yuan Q, Qiu S, Zhai Y, Chen J, Zheng H, Yan F. Turnip mosaic virus NIb weakens the function of eukaryotic translation initiation factor 6 facilitating viral infection in Nicotiana benthamiana. MOLECULAR PLANT PATHOLOGY 2024; 25:e13434. [PMID: 38388027 PMCID: PMC10883789 DOI: 10.1111/mpp.13434] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 01/26/2024] [Accepted: 01/28/2024] [Indexed: 02/24/2024]
Abstract
Viruses rely completely on host translational machinery to produce the proteins encoded by their genes. Controlling translation initiation is important for gaining translational advantage in conflicts between the host and virus. The eukaryotic translation initiation factor 4E (eIF4E) has been reported to be hijacked by potyviruses for virus multiplication. The role of translation regulation in defence and anti-defence between plants and viruses is not well understood. We report that the transcript level of eIF6 was markedly increased in turnip mosaic virus (TuMV)-infected Nicotiana benthamiana. TuMV infection was impaired by overexpression of N. benthamiana eIF6 (NbeIF6) either transiently expressed in leaves or stably expressed in transgenic plants. Polysome profile assays showed that overexpression of NbeIF6 caused the accumulation of 40S and 60S ribosomal subunits, the reduction of polysomes, and also compromised TuMV UTR-mediated translation, indicating a defence role for upregulated NbeIF6 during TuMV infection. However, the polysome profile in TuMV-infected leaves was not identical to that in leaves overexpressing NbeIF6. Further analysis showed that TuMV NIb protein, the RNA-dependent RNA polymerase, interacted with NbeIF6 and interfered with its effect on the ribosomal subunits, suggesting that NIb might have a counterdefence role. The results propose a possible regulatory mechanism at the translation level during plant-virus interaction.
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Affiliation(s)
- Ziqiang Chen
- College of Life ScienceFujian Agriculture and Forestry UniversityFuzhouChina
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro‐productsInstitute of Plant Virology, Ningbo UniversityNingboChina
- Biotechnology Research InstituteFujian Academy of Agricultural SciencesFuzhouChina
- Key Laboratory of Biotechnology in Plant Protection of MARA and Zhejiang ProvinceInstitute of Plant Virology, Ningbo UniversityNingboChina
| | - Feng Wang
- Biotechnology Research InstituteFujian Academy of Agricultural SciencesFuzhouChina
| | - Binghua Chen
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro‐productsInstitute of Plant Virology, Ningbo UniversityNingboChina
- Key Laboratory of Biotechnology in Plant Protection of MARA and Zhejiang ProvinceInstitute of Plant Virology, Ningbo UniversityNingboChina
| | - Guanwei Wu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro‐productsInstitute of Plant Virology, Ningbo UniversityNingboChina
- Key Laboratory of Biotechnology in Plant Protection of MARA and Zhejiang ProvinceInstitute of Plant Virology, Ningbo UniversityNingboChina
| | - Dagang Tian
- Biotechnology Research InstituteFujian Academy of Agricultural SciencesFuzhouChina
| | - Quan Yuan
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro‐productsInstitute of Plant Virology, Ningbo UniversityNingboChina
- Key Laboratory of Biotechnology in Plant Protection of MARA and Zhejiang ProvinceInstitute of Plant Virology, Ningbo UniversityNingboChina
| | - Shiyou Qiu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro‐productsInstitute of Plant Virology, Ningbo UniversityNingboChina
- Key Laboratory of Biotechnology in Plant Protection of MARA and Zhejiang ProvinceInstitute of Plant Virology, Ningbo UniversityNingboChina
| | - Yushan Zhai
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro‐productsInstitute of Plant Virology, Ningbo UniversityNingboChina
- Key Laboratory of Biotechnology in Plant Protection of MARA and Zhejiang ProvinceInstitute of Plant Virology, Ningbo UniversityNingboChina
| | - Jianping Chen
- College of Life ScienceFujian Agriculture and Forestry UniversityFuzhouChina
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro‐productsInstitute of Plant Virology, Ningbo UniversityNingboChina
- Key Laboratory of Biotechnology in Plant Protection of MARA and Zhejiang ProvinceInstitute of Plant Virology, Ningbo UniversityNingboChina
| | - Hongying Zheng
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro‐productsInstitute of Plant Virology, Ningbo UniversityNingboChina
- Key Laboratory of Biotechnology in Plant Protection of MARA and Zhejiang ProvinceInstitute of Plant Virology, Ningbo UniversityNingboChina
| | - Fei Yan
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro‐productsInstitute of Plant Virology, Ningbo UniversityNingboChina
- Key Laboratory of Biotechnology in Plant Protection of MARA and Zhejiang ProvinceInstitute of Plant Virology, Ningbo UniversityNingboChina
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14
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Ito T, Wuerth JD, Weber F. Protection of eIF2B from inhibitory phosphorylated eIF2: A viral strategy to maintain mRNA translation during the PKR-triggered integrated stress response. J Biol Chem 2023; 299:105287. [PMID: 37742919 PMCID: PMC10616414 DOI: 10.1016/j.jbc.2023.105287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 09/15/2023] [Accepted: 09/18/2023] [Indexed: 09/26/2023] Open
Abstract
The integrated stress response (ISR) protects cells from a variety of insults. Once elicited (e.g., by virus infections), it eventually leads to the block of mRNA translation. Central to the ISR are the interactions between translation initiation factors eIF2 and eIF2B. Under normal conditions, eIF2 drives the initiation of protein synthesis through hydrolysis of GTP, which becomes replenished by the guanine nucleotide exchange factor eIF2B. The antiviral branch of the ISR is activated by the RNA-activated kinase PKR which phosphorylates eIF2, thereby converting it into an eIF2B inhibitor. Here, we describe the recently solved structures of eIF2B in complex with eIF2 and a novel escape strategy used by viruses. While unphosphorylated eIF2 interacts with eIF2B in its "productive" conformation, phosphorylated eIF2 [eIF2(αP)] engages a different binding cavity on eIF2B and forces it into the "nonproductive" conformation that prohibits guanine nucleotide exchange factor activity. It is well established that viruses express so-called PKR antagonists that interfere with double-strand RNA, PKR itself, or eIF2. However recently, three taxonomically unrelated viruses were reported to encode antagonists targeting eIF2B instead. For one antagonist, the S segment nonstructural protein of Sandfly fever Sicilian virus, atomic structures showed that it occupies the eIF2(αP)-binding cavity on eIF2B without imposing a switch to the nonproductive conformation. S segment nonstructural protein thus antagonizes the activity of PKR by protecting eIF2B from inhibition by eIF2(αP). As the ISR and specifically eIF2B are central to neuroprotection and a wide range of genetic and age-related diseases, these developments may open new possibilities for treatments.
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Affiliation(s)
- Takuhiro Ito
- Laboratory for Translation Structural Biology, RIKEN Center for Biosystems Dynamics Research, Yokohama, Japan
| | | | - Friedemann Weber
- Institute for Virology, FB10-Veterinary Medicine, Justus-Liebig University, Giessen, Germany.
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15
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Sadasivan J, Hyrina A, DaSilva R, Jan E. An Insect Viral Protein Disrupts Stress Granule Formation in Mammalian Cells. J Mol Biol 2023; 435:168042. [PMID: 36898623 DOI: 10.1016/j.jmb.2023.168042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 02/23/2023] [Accepted: 03/02/2023] [Indexed: 03/12/2023]
Abstract
Stress granules (SGs) are cytosolic RNA-protein aggregates assembled during stress-induced translation arrest. Virus infection, in general, modulates and blocks SG formation. We previously showed that the model dicistrovirus Cricket paralysis virus (CrPV) 1A protein blocks stress granule formation in insect cells, which is dependent on a specific arginine 146 residue. CrPV-1A also inhibits SG formation in mammalian cells suggesting that this insect viral protein may be acting on a fundamental process that regulates SG formation. The mechanism underlying this process is not fully understood. Here, we show that overexpression of wild-type CrPV-1A, but not the CrPV-1A(R146A) mutant protein, inhibits distinct SG assembly pathways in HeLa cells. CrPV-1A mediated SG inhibition is independent of the Argonaute-2 (Ago-2) binding domain and the E3 ubiquitin ligase recruitment domain. CrPV-1A expression leads to nuclear poly(A)+ RNA accumulation and is correlated with the localization of CrPV-1A to the nuclear periphery. Finally, we show that the overexpression of CrPV-1A blocks FUS and TDP-43 granules, which are pathological hallmarks of neurodegenerative diseases. We propose a model whereby CrPV-1A expression in mammalian cells blocks SG formation by depleting cytoplasmic mRNA scaffolds via mRNA export inhibition. CrPV-1A provides a new molecular tool to study RNA-protein aggregates and potentially uncouple SG functions.
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Affiliation(s)
- Jibin Sadasivan
- Department of Biochemistry and Molecular Biology, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada. https://twitter.com/@jibin_sadasivan
| | - Anastasia Hyrina
- Department of Biochemistry and Molecular Biology, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Rachel DaSilva
- Department of Biochemistry and Molecular Biology, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada
| | - Eric Jan
- Department of Biochemistry and Molecular Biology, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada.
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16
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Saito H, Osaki T, Ikeuchi Y, Iwasaki S. High-throughput Assessment of Mitochondrial Protein Synthesis in Mammalian Cells Using Mito-FUNCAT FACS. Bio Protoc 2023; 13:e4602. [PMID: 36816992 PMCID: PMC9909305 DOI: 10.21769/bioprotoc.4602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/24/2022] [Accepted: 01/10/2023] [Indexed: 02/04/2023] Open
Abstract
In addition to cytosolic protein synthesis, mitochondria also utilize another translation system that is tailored for mRNAs encoded in the mitochondrial genome. The importance of mitochondrial protein synthesis has been exemplified by the diverse diseases associated with in organello translation deficiencies. Various methods have been developed to monitor mitochondrial translation, such as the classic method of labeling newly synthesized proteins with radioisotopes and the more recent ribosome profiling. However, since these methods always assess the average cell population, measuring the mitochondrial translation capacity in individual cells has been challenging. To overcome this issue, we recently developed mito-fluorescent noncanonical amino acid tagging (FUNCAT) fluorescence-activated cell sorting (FACS), which labels nascent peptides generated by mitochondrial ribosomes with a methionine analog, L-homopropargylglycine (HPG), conjugates the peptides with fluorophores by an in situ click reaction, and detects the signal in individual cells by FACS equipment. With this methodology, the hidden heterogeneity of mitochondrial translation in cell populations can be addressed.
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Affiliation(s)
- Hironori Saito
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama 351-0198, Japan
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Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277-8561, Japan
| | - Tatsuya Osaki
- Institute of Industrial Science, The University of Tokyo, Meguro-ku, Tokyo 153-8505, Japan
| | - Yoshiho Ikeuchi
- Institute of Industrial Science, The University of Tokyo, Meguro-ku, Tokyo 153-8505, Japan
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Institute for AI and Beyond, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Shintaro Iwasaki
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama 351-0198, Japan
,
Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277-8561, Japan
,
*For correspondence:
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17
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Aloise C, Schipper JG, de Groot RJ, van Kuppeveld FJM. Move and countermove: the integrated stress response in picorna- and coronavirus-infected cells. Curr Opin Immunol 2022; 79:102254. [PMID: 36274340 PMCID: PMC9515345 DOI: 10.1016/j.coi.2022.102254] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 09/25/2022] [Indexed: 01/29/2023]
Abstract
Viruses, when entering their host cells, are met by a fierce intracellular immune defense. One prominent antiviral pathway is the integrated stress response (ISR). Upon activation of the ISR - typically though not exclusively upon detection of dsRNA - translation-initiation factor eukaryotic initiation factor 2 (eIF2) becomes phosphorylated to act as an inhibitor of guanine nucleotide-exchange factor eIF2B. Thus, with the production of ternary complex blocked, a global translational arrest ensues. Successful virus replication hinges on effective countermeasures. Here, we review ISR antagonists and antagonistic mechanisms employed by picorna- and coronaviruses. Special attention will be given to a recently discovered class of viral antagonists that inhibit the ISR by targeting eIF2B, thereby allowing unabated translation initiation even at exceedingly high levels of phosphorylated eIF2.
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18
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Wuerth JD, Weber F. Shielding the mRNA-translation factor eIF2B from inhibitory p-eIF2 as a viral strategy to evade protein kinase R-mediated innate immunity. Curr Opin Immunol 2022; 78:102251. [PMID: 36242870 DOI: 10.1016/j.coi.2022.102251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 09/05/2022] [Indexed: 01/29/2023]
Abstract
The interferon-regulated kinase PKR (protein kinase RNA-activated) is a potent innate immune factor against a broad range of viruses. Being part of the integrated stress response (ISR), its restrictive effect is predominantly exerted by phosphorylating the eukaryotic translation-initiation factor eIF2, thereby turning it into an inhibitor of translation-initiation factor eIF2B. A plethora of viruses are known to evade the shutdown of cellular mRNA translation by interfering either with PKR activation or with eIF2 phosphorylation. Recently, a novel PKR evasion strategy was described: proteins from three taxonomically distinct RNA viruses allow for full PKR activation and eIF2 phosphorylation in the infected cell, but protect eIF2B from inhibition by phosphorylated eIF2, thus enabling mRNA translation in the presence of an activated ISR.
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Affiliation(s)
- Jennifer D Wuerth
- Institute of Innate Immunity, Medical Faculty, University of Bonn, 53127 Bonn, Germany
| | - Friedemann Weber
- Institute for Virology, FB10-Veterinary Medicine, Justus-Liebig University, D-35392 Giessen, Germany.
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19
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Kimura Y, Saito H, Osaki T, Ikegami Y, Wakigawa T, Ikeuchi Y, Iwasaki S. Mito-FUNCAT-FACS reveals cellular heterogeneity in mitochondrial translation. RNA (NEW YORK, N.Y.) 2022; 28:895-904. [PMID: 35256452 PMCID: PMC9074903 DOI: 10.1261/rna.079097.122] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 02/12/2022] [Indexed: 06/03/2023]
Abstract
Mitochondria possess their own genome that encodes components of oxidative phosphorylation (OXPHOS) complexes, and mitochondrial ribosomes within the organelle translate the mRNAs expressed from the mitochondrial genome. Given the differential OXPHOS activity observed in diverse cell types, cell growth conditions, and other circumstances, cellular heterogeneity in mitochondrial translation can be expected. Although individual protein products translated in mitochondria have been monitored, the lack of techniques that address the variation in overall mitochondrial protein synthesis in cell populations poses analytic challenges. Here, we adapted mitochondrial-specific fluorescent noncanonical amino acid tagging (FUNCAT) for use with fluorescence-activated cell sorting (FACS) and developed mito-FUNCAT-FACS. The click chemistry-compatible methionine analog L-homopropargylglycine (HPG) enabled the metabolic labeling of newly synthesized proteins. In the presence of cytosolic translation inhibitors, HPG was selectively incorporated into mitochondrial nascent proteins and conjugated to fluorophores via the click reaction (mito-FUNCAT). The application of in situ mito-FUNCAT to flow cytometry allowed us to separate changes in net mitochondrial translation activity from those of the organelle mass and detect variations in mitochondrial translation in cancer cells. Our approach provides a useful methodology for examining mitochondrial protein synthesis in individual cells.
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Affiliation(s)
- Yusuke Kimura
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277-8561, Japan
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama 351-0198, Japan
| | - Hironori Saito
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277-8561, Japan
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama 351-0198, Japan
| | - Tatsuya Osaki
- Institute of Industrial Science, The University of Tokyo, Meguro-ku, Tokyo 153-8505, Japan
| | - Yasuhiro Ikegami
- Institute of Industrial Science, The University of Tokyo, Meguro-ku, Tokyo 153-8505, Japan
| | - Taisei Wakigawa
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277-8561, Japan
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama 351-0198, Japan
| | - Yoshiho Ikeuchi
- Institute of Industrial Science, The University of Tokyo, Meguro-ku, Tokyo 153-8505, Japan
- Institute for AI and Beyond, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Shintaro Iwasaki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277-8561, Japan
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama 351-0198, Japan
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20
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The role of eIF2 phosphorylation in cell and organismal physiology: new roles for well-known actors. Biochem J 2022; 479:1059-1082. [PMID: 35604373 DOI: 10.1042/bcj20220068] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 04/21/2022] [Accepted: 04/25/2022] [Indexed: 02/06/2023]
Abstract
Control of protein synthesis (mRNA translation) plays key roles in shaping the proteome and in many physiological, including homeostatic, responses. One long-known translational control mechanism involves phosphorylation of initiation factor, eIF2, which is catalysed by any one of four protein kinases, which are generally activated in response to stresses. They form a key arm of the integrated stress response (ISR). Phosphorylated eIF2 inhibits eIF2B (the protein that promotes exchange of eIF2-bound GDP for GTP) and thus impairs general protein synthesis. However, this mechanism actually promotes translation of certain mRNAs by virtue of specific features they possess. Recent work has uncovered many previously unknown features of this regulatory system. Several studies have yielded crucial insights into the structure and control of eIF2, including that eIF2B is regulated by several metabolites. Recent studies also reveal that control of eIF2 and the ISR helps determine organismal lifespan and surprising roles in sensing mitochondrial stresses and in controlling the mammalian target of rapamycin (mTOR). The latter effect involves an unexpected role for one of the eIF2 kinases, HRI. Phosphoproteomic analysis identified new substrates for another eIF2 kinase, Gcn2, which senses the availability of amino acids. Several genetic disorders arise from mutations in genes for eIF2α kinases or eIF2B (i.e. vanishing white matter disease, VWM and microcephaly, epileptic seizures, microcephaly, hypogenitalism, diabetes and obesity, MEHMO). Furthermore, the eIF2-mediated ISR plays roles in cognitive decline associated with Alzheimer's disease. New findings suggest potential therapeutic value in interfering with the ISR in certain settings, including VWM, for example by using compounds that promote eIF2B activity.
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21
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Regulation and function of elF2B in neurological and metabolic disorders. Biosci Rep 2022; 42:231311. [PMID: 35579296 PMCID: PMC9208314 DOI: 10.1042/bsr20211699] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 04/28/2022] [Accepted: 05/12/2022] [Indexed: 11/27/2022] Open
Abstract
Eukaryotic initiation factor 2B, eIF2B is a guanine nucleotide exchange, factor with a central role in coordinating the initiation of translation. During stress and disease, the activity of eIF2B is inhibited via the phosphorylation of its substrate eIF2 (p-eIF2α). A number of different kinases respond to various stresses leading to the phosphorylation of the alpha subunit of eIF2, and collectively this regulation is known as the integrated stress response, ISR. This targeting of eIF2B allows the cell to regulate protein synthesis and reprogramme gene expression to restore homeostasis. Advances within structural biology have furthered our understanding of how eIF2B interacts with eIF2 in both the productive GEF active form and the non-productive eIF2α phosphorylated form. Here, current knowledge of the role of eIF2B in the ISR is discussed within the context of normal and disease states focusing particularly on diseases such as vanishing white matter disease (VWMD) and permanent neonatal diabetes mellitus (PNDM), which are directly linked to mutations in eIF2B. The role of eIF2B in synaptic plasticity and memory formation is also discussed. In addition, the cellular localisation of eIF2B is reviewed and considered along with the role of additional in vivo eIF2B binding factors and protein modifications that may play a role in modulating eIF2B activity during health and disease.
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22
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Hufsky F, Beslic D, Boeckaerts D, Duchene S, González-Tortuero E, Gruber AJ, Guo J, Jansen D, Juma J, Kongkitimanon K, Luque A, Ritsch M, Lencioni Lovate G, Nishimura L, Pas C, Domingo E, Hodcroft E, Lemey P, Sullivan MB, Weber F, González-Candelas F, Krautwurst S, Pérez-Cataluña A, Randazzo W, Sánchez G, Marz M. The International Virus Bioinformatics Meeting 2022. Viruses 2022; 14:973. [PMID: 35632715 PMCID: PMC9144528 DOI: 10.3390/v14050973] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 04/28/2022] [Indexed: 12/22/2022] Open
Abstract
The International Virus Bioinformatics Meeting 2022 took place online, on 23-25 March 2022, and has attracted about 380 participants from all over the world. The goal of the meeting was to provide a meaningful and interactive scientific environment to promote discussion and collaboration and to inspire and suggest new research directions and questions. The participants created a highly interactive scientific environment even without physical face-to-face interactions. This meeting is a focal point to gain an insight into the state-of-the-art of the virus bioinformatics research landscape and to interact with researchers in the forefront as well as aspiring young scientists. The meeting featured eight invited and 18 contributed talks in eight sessions on three days, as well as 52 posters, which were presented during three virtual poster sessions. The main topics were: SARS-CoV-2, viral emergence and surveillance, virus-host interactions, viral sequence analysis, virus identification and annotation, phages, and viral diversity. This report summarizes the main research findings and highlights presented at the meeting.
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Affiliation(s)
- Franziska Hufsky
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Denis Beslic
- Methodology and Research Infrastructure, MF1 Bioinformatics, Robert Koch Institute, 13353 Berlin, Germany;
| | - Dimitri Boeckaerts
- Laboratory of Applied Biotechnology, Department of Biotechnology, Ghent University, 9000 Ghent, Belgium; (D.B.); (C.P.)
- KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, 9000 Ghent, Belgium
| | - Sebastian Duchene
- Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne 3000, Australia;
| | - Enrique González-Tortuero
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- School of Science, Engineering and Environment (SEE), University of Salford, Salford M5 4WT, UK
| | - Andreas J. Gruber
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Biology, University of Konstanz, 78464 Konstanz, Germany
| | - Jiarong Guo
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Departments of Microbiology, and Civil, Environmental, and Geodetic Engineering, Ohio State University, Columbus, OH 43210, USA
| | - Daan Jansen
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Viral Metagenomics, KU Leuven, 3000 Leuven, Belgium
| | - John Juma
- International Livestock Research Institute (ILRI), Nairobi 00100, Kenya;
- South African National Bioinformatics Institute, South African MRC Bioinformatics Unit, Cape Town 7530, South Africa
| | - Kunaphas Kongkitimanon
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Methodology and Research Infrastructure, MF1 Bioinformatics, Robert Koch Institute, 13353 Berlin, Germany;
| | - Antoni Luque
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Viral Information Institute, San Diego State University, San Diego, CA 92116, USA
- Computational Science Research Center, San Diego State University, San Diego, CA 92116, USA
- Department of Mathematics and Statistics, San Diego State University, San Diego, CA 92116, USA
| | - Muriel Ritsch
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Gabriel Lencioni Lovate
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- JRG Analytical MicroBioinformatics, Friedrich Schiller University Jena, 07743 Jena, Germany
| | - Luca Nishimura
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima 411-8540, Japan
- Human Genetics Laboratory, National Institute of Genetics, Mishima 411-8540, Japan
| | - Célia Pas
- Laboratory of Applied Biotechnology, Department of Biotechnology, Ghent University, 9000 Ghent, Belgium; (D.B.); (C.P.)
| | - Esteban Domingo
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), 28049 Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd) del Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Emma Hodcroft
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute of Social and Preventive Medicine, University of Bern, 3012 Bern, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Philippe Lemey
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium
| | - Matthew B. Sullivan
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Departments of Microbiology, and Civil, Environmental, and Geodetic Engineering, Ohio State University, Columbus, OH 43210, USA
| | - Friedemann Weber
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute for Virology, Veterinary Medicine, Justus-Liebig University, 35390 Gießen, Germany
| | - Fernando González-Candelas
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Joint Research Unit “Infection and Public Health” FISABIO, University of Valencia, 46010 Valencia, Spain
- Institute for Integrative Systems Biology (I2SysBio), CSIC, University of Valencia, 46010 Valencia, Spain
| | - Sarah Krautwurst
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Alba Pérez-Cataluña
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Walter Randazzo
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Gloria Sánchez
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Manja Marz
- European Virus Bioinformatics Center, 07743 Jena, Germany; (E.G.-T.); (A.J.G.); (J.G.); (D.J.); (K.K.); (A.L.); (M.R.); (G.L.L.); (L.N.); (E.D.); (E.H.); (P.L.); (M.B.S.); (F.W.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
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23
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Boone M, Wang L, Lawrence RE, Frost A, Walter P, Schoof M. A point mutation in the nucleotide exchange factor eIF2B constitutively activates the integrated stress response by allosteric modulation. eLife 2022; 11:e76171. [PMID: 35416150 PMCID: PMC9132573 DOI: 10.7554/elife.76171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
In eukaryotic cells, stressors reprogram the cellular proteome by activating the integrated stress response (ISR). In its canonical form, stress-sensing kinases phosphorylate the eukaryotic translation initiation factor eIF2 (eIF2-P), which ultimately leads to reduced levels of ternary complex required for initiation of mRNA translation. Previously we showed that translational control is primarily exerted through a conformational switch in eIF2's nucleotide exchange factor, eIF2B, which shifts from its active A-State conformation to its inhibited I-State conformation upon eIF2-P binding, resulting in reduced nucleotide exchange on eIF2 (Schoof et al. 2021). Here, we show functionally and structurally how a single histidine to aspartate point mutation in eIF2B's β subunit (H160D) mimics the effects of eIF2-P binding by promoting an I-State like conformation, resulting in eIF2-P independent activation of the ISR. These findings corroborate our previously proposed A/I-State model of allosteric ISR regulation.
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Affiliation(s)
- Morgane Boone
- Howard Hughes Medical Institute, University of California at San FranciscoSan FranciscoUnited States
- Department of Biochemistry and Biophysics, University of California at San FranciscoSan FranciscoUnited States
| | - Lan Wang
- Howard Hughes Medical Institute, University of California at San FranciscoSan FranciscoUnited States
- Department of Biochemistry and Biophysics, University of California at San FranciscoSan FranciscoUnited States
| | - Rosalie E Lawrence
- Howard Hughes Medical Institute, University of California at San FranciscoSan FranciscoUnited States
- Department of Biochemistry and Biophysics, University of California at San FranciscoSan FranciscoUnited States
| | - Adam Frost
- Department of Biochemistry and Biophysics, University of California at San FranciscoSan FranciscoUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
| | - Peter Walter
- Howard Hughes Medical Institute, University of California at San FranciscoSan FranciscoUnited States
- Department of Biochemistry and Biophysics, University of California at San FranciscoSan FranciscoUnited States
| | - Michael Schoof
- Howard Hughes Medical Institute, University of California at San FranciscoSan FranciscoUnited States
- Department of Biochemistry and Biophysics, University of California at San FranciscoSan FranciscoUnited States
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24
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Apostolopoulos A, Iwasaki S. Into the matrix: current methods for mitochondrial translation studies. J Biochem 2022; 171:379-387. [PMID: 35080613 DOI: 10.1093/jb/mvac005] [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: 12/27/2021] [Accepted: 01/18/2022] [Indexed: 11/12/2022] Open
Abstract
In addition to the cytoplasmic translation system, eukaryotic cells house additional protein synthesis machinery in mitochondria. The importance of this in organello translation is exemplified by clinical pathologies associated with mutations in mitochondrial translation factors. Although a detailed understanding of mitochondrial translation has long been awaited, quantitative, comprehensive, and spatiotemporal measurements have posed analytic challenges. The recent development of novel approaches for studying mitochondrial protein synthesis has overcome these issues and expands our understanding of the unique translation system. Here, we review the current technologies for the investigation of mitochondrial translation and the insights provided by their application.
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Affiliation(s)
- Antonios Apostolopoulos
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277-8561, Japan.,RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama 351-0198, Japan
| | - Shintaro Iwasaki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277-8561, Japan.,RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama 351-0198, Japan
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25
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Schoof M, Wang L, Cogan JZ, Lawrence RE, Boone M, Wuerth JD, Frost A, Walter P. Viral evasion of the integrated stress response through antagonism of eIF2-P binding to eIF2B. Nat Commun 2021; 12:7103. [PMID: 34876554 PMCID: PMC8651678 DOI: 10.1038/s41467-021-26164-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 09/17/2021] [Indexed: 01/07/2023] Open
Abstract
Viral infection triggers activation of the integrated stress response (ISR). In response to viral double-stranded RNA (dsRNA), RNA-activated protein kinase (PKR) phosphorylates the translation initiation factor eIF2, converting it from a translation initiator into a potent translation inhibitor and this restricts the synthesis of viral proteins. Phosphorylated eIF2 (eIF2-P) inhibits translation by binding to eIF2's dedicated, heterodecameric nucleotide exchange factor eIF2B and conformationally inactivating it. We show that the NSs protein of Sandfly Fever Sicilian virus (SFSV) allows the virus to evade the ISR. Mechanistically, NSs tightly binds to eIF2B (KD = 30 nM), blocks eIF2-P binding, and rescues eIF2B GEF activity. Cryo-EM structures demonstrate that SFSV NSs and eIF2-P directly compete, with the primary NSs contacts to eIF2Bα mediated by five 'aromatic fingers'. NSs binding preserves eIF2B activity by maintaining eIF2B's conformation in its active A-State.
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Affiliation(s)
- Michael Schoof
- Howard Hughes Medical Institute, University of California at San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA
| | - Lan Wang
- Howard Hughes Medical Institute, University of California at San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA
| | - J Zachery Cogan
- Howard Hughes Medical Institute, University of California at San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA
| | - Rosalie E Lawrence
- Howard Hughes Medical Institute, University of California at San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA
| | - Morgane Boone
- Howard Hughes Medical Institute, University of California at San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA
| | | | - Adam Frost
- Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Peter Walter
- Howard Hughes Medical Institute, University of California at San Francisco, San Francisco, CA, USA.
- Department of Biochemistry and Biophysics, University of California at San Francisco, San Francisco, CA, USA.
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