84 results on '"Hisao Moriya"'
Search Results
2. The expression level and cytotoxicity of green fluorescent protein are modulated by an additional N-terminal sequence
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Hisao Moriya
- Subjects
green fluorescent protein ,overexpression ,expression limit ,expression level ,protein cytotoxicity ,Biology (General) ,QH301-705.5 ,Biotechnology ,TP248.13-248.65 - Abstract
Nucleotide and amino acid sequences at the N-terminus affect the expression level and cytotoxicity of proteins; however, their effects are not fully understood yet. Here, N-terminal 30 nucleotide/10 amino acid (N10) sequences that affect the expression level and cytotoxicity of a green fluorescent protein were systematically isolated in the budding yeast Saccharomyces cerevisiae. The expression per gene (EPG) and gene copy number limit (CNL) relationships were examined to assess the effects of the N10 sequence. The isolated N10 nucleotide sequences suggested that codon optimality is the major determinant of the protein expression level. A higher number of hydrophobic or cysteine residues in the N10 sequence seemed to increase the cytotoxicity of the protein. Therefore, a high frequency of specific amino acid residues in the outside of the main tertiary structure of proteins might not be preferable.
- Published
- 2020
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3. Genetic profiling of protein burden and nuclear export overload
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Reiko Kintaka, Koji Makanae, Shotaro Namba, Hisaaki Kato, Keiji Kito, Shinsuke Ohnuki, Yoshikazu Ohya, Brenda J Andrews, Charles Boone, and Hisao Moriya
- Subjects
overexpression ,protein burden ,genetic profiling ,nuclear export ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
Overproduction (op) of proteins triggers cellular defects. One of the consequences of overproduction is the protein burden/cost, which is produced by an overloading of the protein synthesis process. However, the physiology of cells under a protein burden is not well characterized. We performed genetic profiling of protein burden by systematic analysis of genetic interactions between GFP-op, surveying both deletion and temperature-sensitive mutants in budding yeast. We also performed genetic profiling in cells with overproduction of triple-GFP (tGFP), and the nuclear export signal-containing tGFP (NES-tGFP). The mutants specifically interacted with GFP-op were suggestive of unexpected connections between actin-related processes like polarization and the protein burden, which was supported by morphological analysis. The tGFP-op interactions suggested that this protein probe overloads the proteasome, whereas those that interacted with NES-tGFP involved genes encoding components of the nuclear export process, providing a resource for further analysis of the protein burden and nuclear export overload.
- Published
- 2020
- Full Text
- View/download PDF
4. Exploring the Complexity of Protein-Level Dosage Compensation that Fine-Tunes Stoichiometry of Multiprotein Complexes.
- Author
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Koji Ishikawa, Akari Ishihara, and Hisao Moriya
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Genetics ,QH426-470 - Abstract
Proper control of gene expression levels upon various perturbations is a fundamental aspect of cellular robustness. Protein-level dosage compensation is one mechanism buffering perturbations to stoichiometry of multiprotein complexes through accelerated proteolysis of unassembled subunits. Although N-terminal acetylation- and ubiquitin-mediated proteasomal degradation by the Ac/N-end rule pathway enables selective compensation of excess subunits, it is unclear how widespread this pathway contributes to stoichiometry control. Here we report that dosage compensation depends only partially on the Ac/N-end rule pathway. Our analysis of genetic interactions between 18 subunits and 12 quality control factors in budding yeast demonstrated that multiple E3 ubiquitin ligases and N-acetyltransferases are involved in dosage compensation. We find that N-acetyltransferases-mediated compensation is not simply predictable from N-terminal sequence despite their sequence specificity for N-acetylation. We also find that the compensation of Pop3 and Bet4 is due in large part to a minor N-acetyltransferase NatD. Furthermore, canonical NatD substrates histone H2A/H4 were compensated even in its absence, suggesting N-acetylation-independent stoichiometry control. Our study reveals the complexity and robustness of the stoichiometry control system.
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- 2020
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5. Estimating the protein burden limit of yeast cells by measuring the expression limits of glycolytic proteins
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Yuichi Eguchi, Koji Makanae, Tomohisa Hasunuma, Yuko Ishibashi, Keiji Kito, and Hisao Moriya
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protein burden ,overexpression ,glycolysis ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
The ultimate overexpression of a protein could cause growth defects, which are known as the protein burden. However, the expression limit at which the protein-burden effect is triggered is still unclear. To estimate this limit, we systematically measured the overexpression limits of glycolytic proteins in Saccharomyces cerevisiae. The limits of some glycolytic proteins were up to 15% of the total cellular protein. These limits were independent of the proteins’ catalytic activities, a finding that was supported by an in silico analysis. Some proteins had low expression limits that were explained by their localization and metabolic perturbations. The codon usage should be highly optimized to trigger the protein-burden effect, even under strong transcriptional induction. The S–S-bond-connected aggregation mediated by the cysteine residues of a protein might affect its expression limit. Theoretically, only non-harmful proteins could be expressed up to the protein-burden limit. Therefore, we established a framework to distinguish proteins that are harmful and non-harmful upon overexpression.
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- 2018
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6. Post-Translational Dosage Compensation Buffers Genetic Perturbations to Stoichiometry of Protein Complexes.
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Koji Ishikawa, Koji Makanae, Shintaro Iwasaki, Nicholas T Ingolia, and Hisao Moriya
- Subjects
Genetics ,QH426-470 - Abstract
Understanding buffering mechanisms for various perturbations is essential for understanding robustness in cellular systems. Protein-level dosage compensation, which arises when changes in gene copy number do not translate linearly into protein level, is one mechanism for buffering against genetic perturbations. Here, we present an approach to identify genes with dosage compensation by increasing the copy number of individual genes using the genetic tug-of-war technique. Our screen of chromosome I suggests that dosage-compensated genes constitute approximately 10% of the genome and consist predominantly of subunits of multi-protein complexes. Importantly, because subunit levels are regulated in a stoichiometry-dependent manner, dosage compensation plays a crucial role in maintaining subunit stoichiometries. Indeed, we observed changes in the levels of a complex when its subunit stoichiometries were perturbed. We further analyzed compensation mechanisms using a proteasome-defective mutant as well as ribosome profiling, which provided strong evidence for compensation by ubiquitin-dependent degradation but not reduced translational efficiency. Thus, our study provides a systematic understanding of dosage compensation and highlights that this post-translational regulation is a critical aspect of robustness in cellular systems.
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- 2017
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7. Overexpression limits of fission yeast cell‐cycle regulators in vivo and in silico
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Hisao Moriya, Ayako Chino, Orsolya Kapuy, Attila Csikász‐Nagy, and Béla Novák
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cell cycle ,cytokinesis ,fission yeast ,gene overexpression ,mathematical model ,Biology (General) ,QH301-705.5 ,Medicine (General) ,R5-920 - Abstract
Abstract Cellular systems are generally robust against fluctuations of intracellular parameters such as gene expression level. However, little is known about expression limits of genes required to halt cellular systems. In this study, using the fission yeast Schizosaccharomyces pombe, we developed a genetic ‘tug‐of‐war’ (gTOW) method to assess the overexpression limit of certain genes. Using gTOW, we determined copy number limits for 31 cell‐cycle regulators; the limits varied from 1 to >100. Comparison with orthologs of the budding yeast Saccharomyces cerevisiae suggested the presence of a conserved fragile core in the eukaryotic cell cycle. Robustness profiles of networks regulating cytokinesis in both yeasts (septation‐initiation network (SIN) and mitotic exit network (MEN)) were quite different, probably reflecting differences in their physiologic functions. Fragility in the regulation of GTPase spg1 was due to dosage imbalance against GTPase‐activating protein (GAP) byr4. Using the gTOW data, we modified a mathematical model and successfully reproduced the robustness of the S. pombe cell cycle with the model.
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- 2011
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8. A comprehensive molecular interaction map of the budding yeast cell cycle
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Kazunari Kaizu, Samik Ghosh, Yukiko Matsuoka, Hisao Moriya, Yuki Shimizu‐Yoshida, and Hiroaki Kitano
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comprehensive map ,large‐scale network ,yeast cell cycle ,Biology (General) ,QH301-705.5 ,Medicine (General) ,R5-920 - Abstract
Abstract With the accumulation of data on complex molecular machineries coordinating cell‐cycle dynamics, coupled with its central function in disease patho‐physiologies, it is becoming increasingly important to collate the disparate knowledge sources into a comprehensive molecular network amenable to systems‐level analyses. In this work, we present a comprehensive map of the budding yeast cell‐cycle, curating reactions from ∼600 original papers. Toward leveraging the map as a framework to explore the underlying network architecture, we abstract the molecular components into three planes—signaling, cell‐cycle core and structural planes. The planar view together with topological analyses facilitates network‐centric identification of functions and control mechanisms. Further, we perform a comparative motif analysis to identify around 194 motifs including feed‐forward, mutual inhibitory and feedback mechanisms contributing to cell‐cycle robustness. We envisage the open access, comprehensive cell‐cycle map to open roads toward community‐based deeper understanding of cell‐cycle dynamics.
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- 2010
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9. Small toxic protein encoded on chromosome VII of Saccharomyces cerevisiae.
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Koji Makanae, Reiko Kintaka, Koji Ishikawa, and Hisao Moriya
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Medicine ,Science - Abstract
In a previous study, we found an unknown element that caused growth inhibition after its copy number increased in the 3' region of DIE2 in Saccharomyces cerevisiae. In this study, we further identified this element and observed that overexpression of a small protein (sORF2) of 57 amino acids encoded in this region caused growth inhibition. The transcriptional response and multicopy suppression of the growth inhibition caused by sORF2 overexpression suggest that sORF2 overexpression inhibits the ergosterol biosynthetic pathway. sORF2 was not required in the normal growth of S. cerevisiae, and not conserved in related yeast species including S. paradoxus. Thus, sORF2 (designated as OTO1) is an orphan ORF that determines the specificity of this species.
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- 2015
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10. Relationships between cell cycle regulator gene copy numbers and protein expression levels in Schizosaccharomyces pombe.
- Author
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Ayako Chino, Koji Makanae, and Hisao Moriya
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Medicine ,Science - Abstract
We previously determined the copy number limits of overexpression for cell division cycle (cdc) regulatory genes in the fission yeast Schizosaccharomyces pombe using the "genetic tug-of-war" (gTOW) method. In this study, we measured the levels of tandem affinity purification (TAP)-tagged target proteins when their copy numbers are increased in gTOW. Twenty analyzed genes showed roughly linear correlations between increased protein levels and gene copy numbers, which suggested a general lack of compensation for gene dosage in S. pombe. Cdc16 and Sid2 protein levels but not their mRNA levels were much lower than that expected by their copy numbers, which suggested the existence of a post-transcriptional down regulation of these genes. The cyclin Cig1 protein level and its mRNA level were much higher than that expected by its copy numbers, which suggested a positive feedback mechanism for its expression. A higher Cdc10 protein level and its mRNA level, probably due to cloning its gene into a plasmid, indicated that Cdc10 regulation was more robust than that previously predicted.
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- 2013
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11. Fragilities caused by dosage imbalance in regulation of the budding yeast cell cycle.
- Author
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Kazunari Kaizu, Hisao Moriya, and Hiroaki Kitano
- Subjects
Genetics ,QH426-470 - Abstract
Cells can maintain their functions despite fluctuations in intracellular parameters, such as protein activities and gene expression levels. This commonly observed biological property of cells is called robustness. On the other hand, these parameters have different limitations, each reflecting the property of the subsystem containing the parameter. The budding yeast cell cycle is quite fragile upon overexpression of CDC14, but is robust upon overexpression of ESP1. The gene products of both CDC14 and ESP1 are regulated by 1ratio1 binding with their inhibitors (Net1 and Pds1), and a mathematical model predicts the extreme fragility of the cell cycle upon overexpression of CDC14 and ESP1 caused by dosage imbalance between these genes. However, it has not been experimentally shown that dosage imbalance causes fragility of the cell cycle. In this study, we measured the quantitative genetic interactions of these genes by performing combinatorial "genetic tug-of-war" experiments. We first showed experimental evidence that dosage imbalance between CDC14 and NET1 causes fragility. We also showed that fragility arising from dosage imbalance between ESP1 and PDS1 is masked by CDH1 and CLB2. The masking function of CLB2 was stabilization of Pds1 by its phosphorylation. We finally modified Chen's model according to our findings. We thus propose that dosage imbalance causes fragility in biological systems.
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- 2010
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12. Plasmid construction using recombination activity in the fission yeast Schizosaccharomyces pombe.
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Ayako Chino, Kenji Watanabe, and Hisao Moriya
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Medicine ,Science - Abstract
BackgroundConstruction of plasmids is crucial in modern genetic manipulation. As of now, the common method for constructing plasmids is to digest specific DNA sequences with restriction enzymes and to ligate the resulting DNA fragments with DNA ligase. Another potent method to construct plasmids, known as gap-repair cloning (GRC), is commonly used in the budding yeast Saccharomyces cerevisiae. GRC makes use of the homologous recombination activity that occurs within the yeast cells. Due to its flexible design and efficiency, GRC has been frequently used for constructing plasmids with complex structures as well as genome-wide plasmid collections. Although there have been reports indicating GRC feasibility in the fission yeast Schizosaccharomyces pombe, this species is not commonly used for GRC as systematic studies of reporting GRC efficiency in S. pombe have not been performed till date.Methodology/principal findingsWe investigated GRC efficiency in S. pombe in this study. We first showed that GRC was feasible in S. pombe by constructing a plasmid that contained the LEU2 auxotrophic marker gene in vivo and showed sufficient efficiency with short homology sequences (>25 bp). No preference was shown for the sequence length from the cut site in the vector plasmid. We next showed that plasmids could be constructed in a proper way using 3 DNA fragments with 70% efficiency without any specific selections being made. The GRC efficiency with 3 DNA fragments was dramatically increased >95% in lig4Delta mutant cell, where non-homologous end joining is deficient. Following this approach, we successfully constructed plasmid vectors with leu1+, ade6+, his5+, and lys1+ markers with the low-copy stable plasmid pDblet as a backbone by applying GRC in S. pombe.Conclusions/significanceWe concluded that GRC was sufficiently feasible in S. pombe for genome-wide gene functional analysis as well as for regular plasmid construction. Plasmids with different markers constructed in this research are available from NBRP-yeast (http://yeast.lab.nig.ac.jp/).
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- 2010
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13. Correction: In Vivo Robustness Analysis of Cell Division Cycle in.
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Hisao Moriya, Yuki Shimizu-Yoshida, and Hiroaki Kitano
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Genetics ,QH426-470 - Published
- 2006
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14. In vivo robustness analysis of cell division cycle genes in Saccharomyces cerevisiae.
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Hisao Moriya, Yuki Shimizu-Yoshida, and Hiroaki Kitano
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Genetics ,QH426-470 - Abstract
Intracellular biochemical parameters, such as the expression level of gene products, are considered to be optimized so that a biological system, including the parameters, works effectively. Those parameters should have some permissible range so that the systems have robustness against perturbations, such as noise in gene expression. However, little is known about the permissible range in real cells because there has been no experimental technique to test it. In this study, we developed a genetic screening method, named "genetic tug-of-war" (gTOW) that evaluates upper limit copy numbers of genes in a model eukaryote Saccharomyces cerevisiae, and we applied it for 30 cell-cycle related genes (CDC genes). The experiment provided unique quantitative data that could be used to argue the system-level properties of the cell cycle such as robustness and fragility. The data were used to evaluate the current computational model, and refinements to the model were suggested.
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- 2006
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15. Toxicity of the model protein 3×GFP arises from degradation overload, not from aggregate formation.
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Shotaro Namba and Hisao Moriya
- Subjects
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HEAT shock proteins , *GREEN fluorescent protein , *PROTEIN models , *MUTANT proteins , *CYTOTOXINS , *SACCHAROMYCES cerevisiae - Abstract
Although protein aggregation can cause cytotoxicity, such aggregates can also form to mitigate cytotoxicity from misfolded proteins, although the nature of these contrasting aggregates remains unclear. We previously found that overproduction (op) of a three green fluorescent protein-linked protein (3×GFP) induces giant aggregates and is detrimental to growth. Here, we investigated the mechanism of growth inhibition by 3×GFP-op using non-aggregative 3×MOX-op as a control in Saccharomyces cerevisiae. The 3×GFP aggregates were induced by misfolding, and 3×GFP-op had higher cytotoxicity than 3×MOX-op because it perturbed the ubiquitin-proteasome system. Static aggregates formed by 3×GFP-op dynamically trapped Hsp70 family proteins (Ssa1 and Ssa2 in yeast), causing the heat-shock response. Systematic analysis of mutants deficient in the protein quality control suggested that 3×GFP-op did not cause a critical Hsp70 depletion and aggregation functioned in the direction of mitigating toxicity. Artificial trapping of essential cell cycle regulators into 3×GFP aggregates caused abnormalities in the cell cycle. In conclusion, the formation of the giant 3×GFP aggregates itself is not cytotoxic, as it does not entrap and deplete essential proteins. Rather, it is productive, inducing the heat-shock response while preventing an overload to the degradation system. [ABSTRACT FROM AUTHOR]
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- 2024
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16. Completing SBGN-AF Networks by Logic-Based Hypothesis Finding.
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Yoshitaka Yamamoto, Adrien Rougny, Hidetomo Nabeshima, Katsumi Inoue, Hisao Moriya, Christine Froidevaux, and Koji Iwanuma
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- 2014
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17. Identification of uncharacterized proteins potentially localized to mitochondria (UPMs) in <scp> Saccharomyces cerevisiae </scp> using a fluorescent protein unstable in the cytoplasm
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Satoshi Horiuchi, Shotaro Namba, Nozomu Saeki, Ayano Satoh, and Hisao Moriya
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Cytoplasm ,Saccharomyces cerevisiae Proteins ,Saccharomycetales ,Genetics ,Bioengineering ,Saccharomyces cerevisiae ,Applied Microbiology and Biotechnology ,Biochemistry ,Mitochondria ,Biotechnology - Abstract
Eukaryotic cells are composed of organelles, and each organelle contains proteins that play a role in its function. Therefore, the localization of a protein, especially to organelles, is a clue to infer the function of that protein. In this study, we attempted to identify novel mitochondrially localized proteins in the budding yeast Saccharomyces cerevisiae using a fluorescent protein (GFPdeg) that is rapidly degraded in the cytoplasm. Of the budding yeast proteins predicted to localize to mitochondria by the prediction tool Deeploc-1.0, those with known mitochondrial localization or functional relevance were eliminated, and 95 proteins of unknown function were selected as candidates for analysis. By forced expression of GFPdeg fusion proteins with these proteins and observation of their localization, we identified 35 uncharacterized proteins potentially localized to mitochondria (UPMs) including 8 previously identified proteins that localize to mitochondria. Most of these had no N-terminal mitochondrial localization signal and were evolutionarily young "emerging genes" that exist only in S. cerevisiae. Some of these genes were found to be upregulated during the postdiauxic shift phase when mitochondria are being developed, suggesting that they are actually involved in some mitochondrial function.
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- 2021
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18. Genetic Profiling of Resource Overload
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Hisao MORIYA
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- 2022
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19. Overexpression profiling reveals cellular requirements in context of genetic backgrounds and environments
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Nozomu Saeki, Chie Yamamoto, Yuichi Eguchi, Takayuki Sekito, Shuji Shigenobu, Mami Yoshimura, Yoko Yashiroda, Charles Boone, and Hisao Moriya
- Abstract
Overexpression due to copy number variation, promoter mutation, or aneuploidy is often observed, but its adaptive role is not clearly understood. Using a novel “overexpression profiling” method designated ADOPT, we systematically obtained genes whose overexpression was functionally adaptive (GOFAs) under stress conditions in budding yeast to elucidate the nature of adaptive overexpression. GOFAs obtained under heat, salt, and oxidative stress were unique genes that differed from known stress response genes. GOFAs under salt (NaCl) stress were genes involved in calcium homeostasis, reflecting the calcium deficiency of the medium. GOFAs from different genetic backgrounds and co-overexpressing strains revealed that calcium and potassium requirements in salt stress tolerance differ among strains, which is reflected. Profiling of the knockout collection suggested that the effect of calcium was to prevent mitochondrial outbursts. Mitochondria-enhancing GOFAs were adaptive only when calcium was sufficient and conversely non-adaptive in calcium deficiency, supporting the above hypothesis. Adaptive overexpression, thus, reflects the cellular requirements for maximizing the organism’s adaptive capacity within a given environmental and genetic context.
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- 2022
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20. Optical-Isolator-Free, Sub-kHz VECSEL System at 698 nm
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Martin Lee, Paulo Hisao Moriya, and Jennifer E. Hastie
- Abstract
We report robust performance against optical feedback in a single frequency visible VECSEL targeted at optical clocks. Sub-kHz linewidth at 698 nm was demonstrated in frequency- stabilized operation, without an isolator in the optical set-up.
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- 2021
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21. Author response: Genetic profiling of protein burden and nuclear export overload
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Reiko Kintaka, Hisao Moriya, Hisaaki Kato, Keiji Kito, Shinsuke Ohnuki, Charles Boone, Yoshikazu Ohya, Shotaro Namba, Koji Makanae, and Brenda J. Andrews
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DNA profiling ,Computational biology ,Biology ,Nuclear export signal - Published
- 2020
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22. Comparative Gene Analysis Focused on Silica Cell Wall Formation: Identification of Diatom-Specific SET Domain Protein Methyltransferases
- Author
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Kiori Obuse, Kenji Inagaki, Michiko Nemoto, Sayako Iwaki, Shigeki Mayama, Yuki Monden, Takashi Tamura, and Hisao Moriya
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0106 biological sciences ,0301 basic medicine ,Biomineralization ,Candidate gene ,Proteome ,Cell ,Biology ,01 natural sciences ,Applied Microbiology and Biotechnology ,Homology (biology) ,Transcriptome ,Cell wall ,03 medical and health sciences ,Cell Wall ,010608 biotechnology ,medicine ,Protein Methyltransferases ,Gene ,Diatoms ,fungi ,Diatom ,Silica ,biology.organism_classification ,Silicon Dioxide ,Cell biology ,PR-SET Domains ,030104 developmental biology ,medicine.anatomical_structure - Abstract
Silica cell walls of diatoms have attracted attention as a source of nanostructured functional materials and have immense potential for a variety of applications. Previous studies of silica cell wall formation have identified numerous involved proteins, but most of these proteins are species-specific and are not conserved among diatoms. However, because the basic process of diatom cell wall formation is common to all diatom species, ubiquitous proteins and molecules will reveal the mechanisms of cell wall formation. In this study, we assembled de novo transcriptomes of three diatom species, Nitzschia palea, Achnanthes kuwaitensis, and Pseudoleyanella lunata, and compared protein-coding genes of five genome-sequenced diatom species. These analyses revealed a number of diatom-specific genes that encode putative endoplasmic reticulum-targeting proteins. Significant numbers of these proteins showed homology to silicanin-1, which is a conserved diatom protein that reportedly contributes to cell wall formation. These proteins also included a previously unrecognized SET domain protein methyltransferase family that may regulate functions of cell wall formation-related proteins and long-chain polyamines. Proteomic analysis of cell wall-associated proteins in N. palea identified a protein that is also encoded by one of the diatom-specific genes. Expression analysis showed that candidate genes were upregulated in response to silicon, suggesting that these genes play roles in silica cell wall formation. These candidate genes can facilitate further investigations of silica cell wall formation in diatoms.
- Published
- 2020
23. Development of an experimental method of systematically estimating protein expression limits in HEK293 cells
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Yuki Yoshida, Ayano Satoh, Yoshihiro Mori, and Hisao Moriya
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Cell biology ,Programmed cell death ,Molecular biology ,Green Fluorescent Proteins ,Cytomegalovirus ,Gene Expression ,lcsh:Medicine ,Endoplasmic Reticulum ,Article ,Green fluorescent protein ,chemistry.chemical_compound ,Gene expression analysis ,Gene expression ,Humans ,Promoter Regions, Genetic ,lcsh:Science ,Protein translocation ,Multidisciplinary ,Protein transport ,Cell Death ,Endoplasmic reticulum ,Biological techniques ,lcsh:R ,HEK 293 cells ,DNA ,Endoplasmic reticulum localization ,Transport protein ,Luminescent Proteins ,Tetrahydrofolate Dehydrogenase ,HEK293 Cells ,Methotrexate ,chemistry ,Protein Biosynthesis ,lcsh:Q ,Plasmids - Abstract
Protein overexpression sometimes causes cellular defects, although the underlying mechanism is still unknown. A protein’s expression limit, which triggers cellular defects, is a useful indication of the underlying mechanism. In this study, we developed an experimental method of estimating the expression limits of target proteins in the human embryonic kidney cell line HEK293 by measuring the proteins’ expression levels in cells that survived after the high-copy introduction of plasmid DNA by which the proteins were expressed under a strong cytomegalovirus promoter. The expression limits of nonfluorescent target proteins were indirectly estimated by measuring the levels of green fluorescent protein (GFP) connected to the target proteins with the self-cleaving sequence P2A. The expression limit of a model GFP was ~5.0% of the total protein, and sustained GFP overexpression caused cell death. The expression limits of GFPs with mitochondria-targeting signals and endoplasmic reticulum localization signals were 1.6% and 0.38%, respectively. The expression limits of four proteins involved in vesicular trafficking were far lower compared to a red fluorescent protein. The protein expression limit estimation method developed will be valuable for defining toxic proteins and consequences of protein overexpression.
- Published
- 2020
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24. Genetic Profiling of Protein Burden and Nuclear Export Overload
- Author
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Hisao Moriya, Reiko Kintaka, Yoshikazu Ohya, Shinsuke Ohnuki, Koji Makanae, Hisaaki Kato, Brenda J. Andrews, and Charles Boone
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biology ,Proteasome ,Saccharomyces cerevisiae ,Mutant ,Protein biosynthesis ,biology.organism_classification ,Overproduction ,Nuclear export signal ,Gene ,Intracellular ,Cell biology - Abstract
Overproduction (op) of proteins triggers cellular defects. One of the defined consequences of protein overproduction is the protein burden/cost, which is produced by an overloading of the protein synthesis process. However, the physiology of cells under a protein burden is not well characterized. We performed genetic profiling of protein burden by systematic analysis of genetic interactions between GFP-op, surveying both deletion mutants of nonessential genes and temperature-sensitive mutants of essential genes, in the budding yeastSaccharomyces cerevisiae. To dissect interactions specific to the protein burden, we also performed genetic profiling in cells with overproduction of triple-GFP (tGFP), and the nuclear export signal-containing tGFP (NES-tGFP). The mutants specifically interacted with GFP-op were suggestive of unexpected connections between actin-related processes like polarization and the protein burden, which was supported by morphological analysis. The tGFP-op interactions suggested that this protein probe overloads the proteasome, probably through the formation of intracellular aggregates, whereas those that interacted with NES-tGFP involved genes encoding components of the nuclear export process, providing a resource for further analysis of the protein burden and nuclear export overload.
- Published
- 2020
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25. N-terminal deletion of Swi3 created by the deletion of a dubious ORF YJL175W mitigates protein burden effect in S. cerevisiae
- Author
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Reiko Kintaka, Yuichi Eguchi, Koji Makanae, Hisao Moriya, Shintaro Iwasaki, Yuichi Shichino, Nozomu Saeki, Nobutada Kimura, and Manabu Kanno
- Subjects
Saccharomyces cerevisiae Proteins ,Transcription, Genetic ,Protein subunit ,Saccharomyces cerevisiae ,lcsh:Medicine ,Biology ,Chromatin remodeling ,Article ,Open Reading Frames ,Cell growth ,Transcription (biology) ,Gene expression ,RNA, Messenger ,ORFS ,lcsh:Science ,Gene ,Sequence Deletion ,Regulation of gene expression ,Genetics ,Multidisciplinary ,lcsh:R ,Nuclear Proteins ,biology.organism_classification ,Gene regulation ,lcsh:Q - Abstract
Extreme overproduction of gratuitous proteins can overload cellular protein production resources, leading to growth defects, a phenomenon known as the protein burden/cost effect. Genetic screening in the budding yeast Saccharomyces cerevisiae has isolated several dubious ORFs whose deletions mitigated the protein burden effect, but individual characterization thereof has yet to be delineated. We found that deletion of the YJL175W ORF yielded an N-terminal deletion of Swi3, a subunit of the SWI/SNF chromatin remodeling complex, and partial loss of function of Swi3. The deletion mutant showed a reduction in transcription of genes encoding highly expressed, secreted proteins and an overall reduction in translation. Mutations in the chromatin remodeling complex could thus mitigate the protein burden effect, likely by reallocating residual cellular resources used to overproduce proteins. This cellular state might also be related to cancer cells, as they frequently harbor mutations in the SWI/SNF complex.
- Published
- 2020
26. Research Center for Advanced Materials and Technology(Educational Project Reports in Center)
- Author
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Shuichi, Watanabe, Yasuhiro, Ikezoe, Manabu, Suzuki, and Hisao, Moriya
- Published
- 2018
27. Evaluation of the lower protein limit in the budding yeast Saccharomyces cerevisiae using TIPI-gTOW.
- Author
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Masataka Sasabe, Sayumi Shintani, Reiko Kintaka, Kazunari Kaizu, Koji Makanae, and Hisao Moriya
- Published
- 2014
- Full Text
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28. Genetic profiling of protein burden and nuclear export overload
- Author
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Yoshikazu Ohya, Reiko Kintaka, Brenda J. Andrews, Shotaro Namba, Koji Makanae, Hisao Moriya, Charles Boone, Shinsuke Ohnuki, Hisaaki Kato, and Keiji Kito
- Subjects
Proteasome Endopeptidase Complex ,Saccharomyces cerevisiae Proteins ,QH301-705.5 ,Science ,Mutant ,Green Fluorescent Proteins ,Active Transport, Cell Nucleus ,S. cerevisiae ,Genomics ,Saccharomyces cerevisiae ,Biology ,General Biochemistry, Genetics and Molecular Biology ,Protein biosynthesis ,Biology (General) ,Nuclear export signal ,Overproduction ,Gene ,Cell Nucleus ,Nuclear Export Signals ,General Immunology and Microbiology ,General Neuroscience ,Genetics and Genomics ,General Medicine ,Genetic Profile ,Cell biology ,Proteasome ,DNA profiling ,Protein Biosynthesis ,Mutation ,Medicine ,nuclear export ,protein burden ,genetic profiling ,Research Article ,overexpression - Abstract
Overproduction (op) of proteins triggers cellular defects. One of the consequences of overproduction is the protein burden/cost, which is produced by an overloading of the protein synthesis process. However, the physiology of cells under a protein burden is not well characterized. We performed genetic profiling of protein burden by systematic analysis of genetic interactions between GFP-op, surveying both deletion and temperature-sensitive mutants in budding yeast. We also performed genetic profiling in cells with overproduction of triple-GFP (tGFP), and the nuclear export signal-containing tGFP (NES-tGFP). The mutants specifically interacted with GFP-op were suggestive of unexpected connections between actin-related processes like polarization and the protein burden, which was supported by morphological analysis. The tGFP-op interactions suggested that this protein probe overloads the proteasome, whereas those that interacted with NES-tGFP involved genes encoding components of the nuclear export process, providing a resource for further analysis of the protein burden and nuclear export overload.
- Published
- 2019
29. Exploring the Complexity of Protein-Level Dosage Compensation that Fine-Tunes Stoichiometry of Multiprotein Complexes
- Author
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Akari Ishihara, Hisao Moriya, and Koji Ishikawa
- Subjects
Cancer Research ,Hydrolases ,Arylamine N-Acetyltransferase ,Gene Expression ,Control Systems ,QH426-470 ,Biochemistry ,Systems Science ,Compensation (engineering) ,Ligases ,Histones ,Ubiquitin ,Gene expression ,Protein biosynthesis ,Genetics (clinical) ,Histone Acetyltransferases ,Dosage compensation ,medicine.diagnostic_test ,biology ,Chemistry ,Eukaryota ,Acetylation ,Translation (biology) ,Stoichiometry ,Enzymes ,Isoenzymes ,Physical Sciences ,Dosage Compensation ,Proteome ,Engineering and Technology ,Research Article ,Quality Control ,Computer and Information Sciences ,Nucleases ,Ubiquitin-Protein Ligases ,Proteolysis ,Ribonucleases ,Dosage Compensation, Genetic ,DNA-binding proteins ,Industrial Engineering ,Histone H2A ,Genetics ,medicine ,Gene Regulation ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,Biology and life sciences ,Organisms ,Fungi ,Proteins ,Robustness (evolution) ,Control Engineering ,Ubiquitin Ligases ,Yeast ,Multiprotein Complexes ,Saccharomycetales ,Enzymology ,biology.protein ,Biophysics ,Protein Processing, Post-Translational ,Mathematics - Abstract
Proper control of gene expression levels upon various perturbations is a fundamental aspect of cellular robustness. Protein-level dosage compensation is one mechanism buffering perturbations to stoichiometry of multiprotein complexes through accelerated proteolysis of unassembled subunits. Although N-terminal acetylation- and ubiquitin-mediated proteasomal degradation by the Ac/N-end rule pathway enables selective compensation of excess subunits, it is unclear how widespread this pathway contributes to stoichiometry control. Here we report that dosage compensation depends only partially on the Ac/N-end rule pathway. Our analysis of genetic interactions between 18 subunits and 12 quality control factors in budding yeast demonstrated that multiple E3 ubiquitin ligases and N-acetyltransferases are involved in dosage compensation. We find that N-acetyltransferases-mediated compensation is not simply predictable from N-terminal sequence despite their sequence specificity for N-acetylation. We also find that the compensation of Pop3 and Bet4 is due in large part to a minor N-acetyltransferase NatD. Furthermore, canonical NatD substrates histone H2A/H4 were compensated even in its absence, suggesting N-acetylation-independent stoichiometry control. Our study reveals the complexity and robustness of the stoichiometry control system., Author summary Quality control of multiprotein complexes is important for maintaining homeostasis in cellular systems that are based on functional complexes. Proper stoichiometry of multiprotein complexes is achieved by the balance between protein synthesis and degradation. Recent studies showed that translation efficiency tends to scale with stoichiometry of their subunits. On the other hand, although protein N-terminal acetylation- and ubiquitin-mediated proteolysis pathway is involved in selective degradation of excess subunits, it is unclear how widespread this pathway contributes to stoichiometry control due to the lack of a systematic investigation using endogenous proteins. To better understand the landscape of the stoichiometry control system, we examined genetic interactions between 18 subunits and 12 quality control factors (E3 ubiquitin ligases and N-acetyltransferases), in total 114 combinations. Our data suggest that N-acetyltransferases are partially responsible for stoichiometry control and that N-acetylation-independent pathway is also involved in selective degradation of excess subunits. Therefore, this study reveals the complexity and robustness of the stoichiometry control system. Further dissection of this complexity will help to understand the mechanisms buffering gene expression perturbations and shaping proteome stoichiometry.
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- 2019
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30. Yeast screening system reveals the inhibitory mechanism of cancer cell proliferation by benzyl isothiocyanate through down-regulation of Mis12
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Shintaro Munemasa, Naomi Abe-Kanoh, Takumi Myojin, Ayako Chino, Ayano Satoh, Yoshimasa Nakamura, Narumi Kunisue, Hisao Moriya, and Yoshiyuki Murata
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0301 basic medicine ,Saccharomyces cerevisiae Proteins ,Carcinogenesis ,Saccharomyces cerevisiae ,lcsh:Medicine ,Cell Cycle Proteins ,Mechanism of action ,medicine.disease_cause ,Article ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Isothiocyanates ,Target identification ,medicine ,Humans ,lcsh:Science ,Kinetochores ,Cell Proliferation ,Multidisciplinary ,biology ,Molecular medicine ,Benzyl isothiocyanate ,Cell growth ,lcsh:R ,Cell Cycle ,Cell cycle ,biology.organism_classification ,HCT116 Cells ,Cell biology ,030104 developmental biology ,chemistry ,Apoptosis ,Isothiocyanate ,Cancer cell ,lcsh:Q ,Drug Screening Assays, Antitumor ,Microtubule-Associated Proteins ,030217 neurology & neurosurgery - Abstract
Benzyl isothiocyanate (BITC) is a naturally-occurring isothiocyanate derived from cruciferous vegetables. BITC has been reported to inhibit the proliferation of various cancer cells, which is believed to be important for the inhibition of tumorigenesis. However, the detailed mechanisms of action remain unclear. In this study, we employed a budding yeast Saccharomyces cerevisiae as a model organism for screening. Twelve genes including MTW1 were identified as the overexpression suppressors for the antiproliferative effect of BITC using the genome-wide multi-copy plasmid collection for S. cerevisiae. Overexpression of the kinetochore protein Mtw1 counteracts the antiproliferative effect of BITC in yeast. The inhibitory effect of BITC on the proliferation of human colon cancer HCT-116 cells was consistently suppressed by the overexpression of Mis12, a human orthologue of Mtw1, and enhanced by the knockdown of Mis12. We also found that BITC increased the phosphorylated and ubiquitinated Mis12 level with consequent reduction of Mis12, suggesting that BITC degrades Mis12 through an ubiquitin-proteasome system. Furthermore, cell cycle analysis showed that the change in the Mis12 level affected the cell cycle distribution and the sensitivity to the BITC-induced apoptosis. These results provide evidence that BITC suppresses cell proliferation through the post-transcriptional regulation of the kinetochore protein Mis12.
- Published
- 2019
31. Resource Allocation and Capacity of Protein Expression in a Yeast Cell
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Hisao Moriya
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medicine.anatomical_structure ,Cell ,medicine ,Resource allocation ,Computational biology ,Biology ,Yeast ,Protein expression - Published
- 2016
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32. Correction to: Comparative Gene Analysis Focused on Silica Cell Wall Formation: Identification of Diatom-Specific SET Domain Protein Methyltransferases
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Takashi Tamura, Michiko Nemoto, Shigeki Mayama, Kiori Obuse, Kenji Inagaki, Sayako Iwaki, Hisao Moriya, and Yuki Monden
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Diatom ,biology ,SET domain ,Protein Methyltransferases ,Identification (biology) ,Cell wall formation ,Computational biology ,biology.organism_classification ,Applied Microbiology and Biotechnology ,Gene - Published
- 2020
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33. Genetic Analysis of Signal Generation by the Rgt2 Glucose Sensor of Saccharomyces cerevisiae
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Mark Johnston, Peter Scharff-Poulsen, and Hisao Moriya
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0301 basic medicine ,Snf3 ,glucose signaling ,Saccharomyces cerevisiae ,Glucose transporter ,sugar transporter ,Biology ,biology.organism_classification ,Transmembrane protein ,3. Good health ,Cell biology ,03 medical and health sciences ,030104 developmental biology ,Genetics ,Binding site ,Molecular Biology ,Transcription factor ,Genetics (clinical) ,Intracellular ,Derepression ,glucose sensor - Abstract
The yeast S. cerevisiae senses glucose through Snf3 and Rgt2, transmembrane proteins that generate an intracellular signal in response to glucose that leads to inhibition of the Rgt1 transcriptional repressor and consequently to derepression of HXT genes encoding glucose transporters. Snf3 and Rgt2 are thought to be glucose receptors because they are similar to glucose transporters. In contrast to glucose transporters, they have unusually long C-terminal tails that bind to Mth1 and Std1, paralogous proteins that regulate function of the Rgt1 transcription factor. We show that the C-terminal tail of Rgt2 is not responsible for its inability to transport glucose. To gain insight into how the glucose sensors generate an intracellular signal, we identified RGT2 mutations that cause constitutive signal generation. Most of the mutations alter evolutionarily-conserved amino acids in the transmembrane spanning regions of Rgt2 that are predicted to be involved in maintaining an outward-facing conformation or to be in the substrate binding site. Our analysis of these mutations suggests they cause Rgt2 to adopt inward-facing or occluded conformations that generate the glucose signal. These results support the idea that Rgt2 and Snf3 are glucose receptors that signal in response to binding of extracellular glucose and inform the basis of their signaling.
- Published
- 2018
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34. Genetic Analysis of Signal Generation by the Rgt2 Glucose Sensor of
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Peter, Scharff-Poulsen, Hisao, Moriya, and Mark, Johnston
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Glucose ,Saccharomyces cerevisiae Proteins ,glucose signaling ,Monosaccharide Transport Proteins ,Protein Domains ,Mutation ,Saccharomyces cerevisiae ,sugar transporter ,Investigations ,Conserved Sequence ,Signal Transduction ,glucose sensor - Abstract
The yeast S. cerevisiae senses glucose through Snf3 and Rgt2, transmembrane proteins that generate an intracellular signal in response to glucose that leads to inhibition of the Rgt1 transcriptional repressor and consequently to derepression of HXT genes encoding glucose transporters. Snf3 and Rgt2 are thought to be glucose receptors because they are similar to glucose transporters. In contrast to glucose transporters, they have unusually long C-terminal tails that bind to Mth1 and Std1, paralogous proteins that regulate function of the Rgt1 transcription factor. We show that the C-terminal tail of Rgt2 is not responsible for its inability to transport glucose. To gain insight into how the glucose sensors generate an intracellular signal, we identified RGT2 mutations that cause constitutive signal generation. Most of the mutations alter evolutionarily-conserved amino acids in the transmembrane spanning regions of Rgt2 that are predicted to be involved in maintaining an outward-facing conformation or to be in the substrate binding site. Our analysis of these mutations suggests they cause Rgt2 to adopt inward-facing or occluded conformations that generate the glucose signal. These results support the idea that Rgt2 and Snf3 are glucose receptors that signal in response to binding of extracellular glucose and inform the basis of their signaling.
- Published
- 2018
35. Author response: Estimating the protein burden limit of yeast cells by measuring the expression limits of glycolytic proteins
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Koji Makanae, Keiji Kito, Hisao Moriya, Yuko Ishibashi, Yuichi Eguchi, and Tomohisa Hasunuma
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Chemistry ,Glycolysis ,Limit (mathematics) ,Yeast ,Cell biology - Published
- 2018
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36. Quantitative nature of overexpression experiments
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Hisao Moriya
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Genetics ,Saccharomyces cerevisiae Proteins ,Saccharomyces cerevisiae ,Gene Dosage ,Gene Expression ,Cell Biology ,Computational biology ,Biology ,biology.organism_classification ,Gene dosage ,Evaluation Studies as Topic ,Protein Biosynthesis ,Gene expression ,Protein biosynthesis ,Protein Interaction Maps ,Promoter Regions, Genetic ,Molecular Biology ,Function (biology) ,Protein Interaction Map ,Perspectives ,Protein overexpression - Abstract
Overexpression experiments are sometimes considered as qualitative experiments designed to identify novel proteins and study their function. However, in order to draw conclusions regarding protein overexpression through association analyses using large-scale biological data sets, we need to recognize the quantitative nature of overexpression experiments. Here I discuss the quantitative features of two different types of overexpression experiment: absolute and relative. I also introduce the four primary mechanisms involved in growth defects caused by protein overexpression: resource overload, stoichiometric imbalance, promiscuous interactions, and pathway modulation associated with the degree of overexpression.
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- 2015
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37. Assessing phagotrophy in the mixotrophic ciliate Paramecium bursaria using GFP-expressing yeast cells
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Takashi Miura, Hisao Moriya, and Sosuke Iwai
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0301 basic medicine ,Paramecium ,Green Fluorescent Proteins ,030106 microbiology ,Saccharomyces cerevisiae ,Vacuole ,Bursaria ,Microbiology ,Green fluorescent protein ,03 medical and health sciences ,Phagocytosis ,Genetics ,Photosynthesis ,Symbiosis ,Molecular Biology ,Ciliate ,biology ,fungi ,biology.organism_classification ,Yeast ,030104 developmental biology ,Paramecium bursaria ,Biochemistry ,Vacuoles ,Chlorella vulgaris - Abstract
We used cells of the yeast Saccharomyces cerevisiae expressing green fluorescent protein (GFP) as fluorescently labelled prey to assess the phagocytic activities of the mixotrophic ciliate Paramecium bursaria, which harbours symbiotic Chlorella-like algae. Because of different fluorescence spectra of GFP and algal chlorophyll, ingested GFP-expressing yeast cells can be distinguished from endosymbiotic algal cells and directly counted in individual P. bursaria cells using fluorescence microscopy. By using GFP-expressing yeast cells, we found that P. bursaria altered ingestion activities under different physiological conditions, such as different growth phases or the presence/absence of endosymbionts. Use of GFP-expressing yeast cells allowed us to estimate the digestion rates of live prey of the ciliate. In contrast to the ingestion activities, the digestion rate within food vacuoles was not affected by the presence of endosymbionts, consistent with previous findings that food and perialgal vacuoles are spatially and functionally separated in P. bursaria. Thus, GFP-expressing yeast may provide a valuable tool to assess both ingestion and digestion activities of ciliates that feed on eukaryotic organisms.
- Published
- 2017
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38. Distinct mechanisms for spiro-carbon formation reveal biosynthetic pathway crosstalk
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Noriyasu Ishikawa, Kenji Watanabe, Yukihiro Goda, Hisao Moriya, Yuta Tsunematsu, Hiroshi Noguchi, Daigo Wakana, and Kinya Hotta
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Models, Molecular ,Blotting, Western ,Antineoplastic Agents ,Saccharomyces cerevisiae ,Piperazines ,Aspergillus fumigatus ,Structure-Activity Relationship ,chemistry.chemical_compound ,Biosynthesis ,Gene Expression Regulation, Fungal ,Spiro Compounds ,DNA, Fungal ,Molecular Biology ,chemistry.chemical_classification ,Natural product ,Molecular Structure ,biology ,Fungal genetics ,Cell Biology ,biology.organism_classification ,Fumitremorgin ,Crosstalk (biology) ,Enzyme ,chemistry ,Biochemistry ,Spirotryprostatin A - Abstract
Spirotryprostatins, an indole alkaloid class of nonribosomal peptides isolated from Aspergillus fumigatus, are known for their antimitotic activity in tumor cells. Because spirotryprostatins and many other chemically complex spiro-carbon-bearing natural products exhibit useful biological activities, identifying and understanding the mechanism of spiro-carbon biosynthesis is of great interest. Here we report a detailed study of spiro-ring formation in spirotryprostatins from tryprostatins derived from the fumitremorgin biosynthetic pathway, using reactants and products prepared with engineered yeast and fungal strains. Unexpectedly, FqzB, an FAD-dependent monooxygenase from the unrelated fumiquinazoline biosynthetic pathway, catalyzed spiro-carbon formation in spirotryprostatin A via an epoxidation route. Furthermore, FtmG, a cytochrome P450 from the fumitremorgin biosynthetic pathway, was determined to catalyze the spiro-ring formation in spirotryprostatin B. Our results highlight the versatile role of oxygenating enzymes in the biosynthesis of structurally complex natural products and indicate that cross-talk of different biosynthetic pathways allows product diversification in natural product biosynthesis.
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- 2013
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39. Parallel Real-Time PCR on a Chip for Genetic Tug-of-War (gTOW) Method
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Takao Yasui, Noritada Kaji, Ai Yatsuhashi, Hisao Moriya, Hiroaki Kitano, Taeko Ando, Yoshinobu Baba, Toyohiro Naito, Kazuo Sato, and Manabu Tokeshi
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biology ,Chemistry ,Systems biology ,Saccharomyces cerevisiae ,Temperature ,microchip-based ,Computational biology ,Real-Time Polymerase Chain Reaction ,biology.organism_classification ,Chip ,Analytical Chemistry ,Housekeeping gene ,law.invention ,Real-time polymerase chain reaction ,Plasmid ,law ,Lab-On-A-Chip Devices ,Microchip Analytical Procedures ,Gene ,Polymerase chain reaction - Abstract
A microchip-based real-time polymerase chain reaction (PCR) device has been developed for the genetic tug-of-war (gTOW) method that provides quantitative data for research on biorobustness and systems biology. The device was constructed of a silicon glass chip, a temperature controlling Peltier element, and a microscope. A parallel real-time amplification process of target genes on the plasmids and the housekeeping genes in a model eukaryote Saccharomyces cerevisiae were detected simultaneously, and the copy number of the target genes were estimated. The device provides unique quantitative data that can be used to augment understanding of the system-level properties of living cells.
- Published
- 2013
40. A Genome-Wide Activity Assessment of Terminator Regions in Saccharomyces cerevisiae Provides a ″Terminatome″ Toolbox
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Yoichiro Ito, Akinori Ikeuchi, Mamoru Yamanishi, Chie Imamura, Satoshi Katahira, Reiko Kintaka, Takashi Matsuyama, and Hisao Moriya
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Untranslated region ,Saccharomyces cerevisiae Proteins ,Translational efficiency ,RNA Stability ,Green Fluorescent Proteins ,Saccharomyces cerevisiae ,Biomedical Engineering ,Biochemistry, Genetics and Molecular Biology (miscellaneous) ,Gene expression ,RNA, Messenger ,Promoter Regions, Genetic ,3' Untranslated Regions ,Gene ,Terminator Regions, Genetic ,Genetics ,Reporter gene ,biology ,Three prime untranslated region ,General Medicine ,biology.organism_classification ,Phosphoglycerate Kinase ,Terminator (genetics) ,Metabolic Engineering ,Genome, Fungal ,Glyceraldehyde-3-Phosphate Dehydrogenase (Phosphorylating) - Abstract
The terminator regions of eukaryotes encode functional elements in the 3' untranslated region (3'-UTR) that influence the 3'-end processing of mRNA, mRNA stability, and translational efficiency, which can modulate protein production. However, the contribution of these terminator regions to gene expression remains unclear, and therefore their utilization in metabolic engineering or synthetic genetic circuits has been limited. Here, we comprehensively evaluated the activity of 5302 terminator regions from a total of 5880 genes in the budding yeast Saccharomyces cerevisiae by inserting each terminator region downstream of the P TDH3 - green fluorescent protein (GFP) reporter gene and measuring the fluorescent intensity of GFP. Terminator region activities relative to that of the PGK1 standard terminator ranged from 0.036 to 2.52, with a mean of 0.87. We thus could isolate the most and least active terminator regions. The activities of the terminator regions showed a positive correlation with mRNA abundance, indicating that the terminator region is a determinant of mRNA abundance. The least active terminator regions tended to encode longer 3'-UTRs, suggesting the existence of active degradation mechanisms for those mRNAs. The terminator regions of ribosomal protein genes tended to be the most active, suggesting the existence of a common regulator of those genes. The ″terminatome″ (the genome-wide set of terminator regions) thus not only provides valuable information to understand the modulatory roles of terminator regions on gene expression but also serves as a useful toolbox for the development of metabolically and genetically engineered yeast.
- Published
- 2013
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41. Cellular growth defects triggered by an overload of protein localization processes
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Reiko Kintaka, Koji Makanae, and Hisao Moriya
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0301 basic medicine ,Signal peptide ,Multidisciplinary ,Cell growth ,Endoplasmic reticulum ,Green Fluorescent Proteins ,Receptors, Cytoplasmic and Nuclear ,Saccharomyces cerevisiae ,Biology ,Karyopherins ,Protein subcellular localization prediction ,Article ,Transport protein ,Cell biology ,Green fluorescent protein ,03 medical and health sciences ,Protein Transport ,030104 developmental biology ,Biochemistry ,Nuclear export signal ,Intracellular - Abstract
High-level expression of a protein localized to an intracellular compartment is expected to cause cellular defects because it overloads localization processes. However, overloads of localization processes have never been studied systematically. Here, we show that the expression levels of green fluorescent proteins (GFPs) with localization signals were limited to the same degree as a toxic misfolded GFP in budding yeast cells, and that their high-level expression caused cellular defects associated with localization processes. We further show that limitation of the exportin Crm1 determined the expression limit of GFP with a nuclear export signal. Although misfolding of GFP with a vesicle-mediated transport signal triggered endoplasmic reticulum stress, it was not the primary determinant of its expression limit. The precursor of GFP with a mitochondrial targeting signal caused a cellular defect. Finally, we estimated the residual capacities of localization processes. High-level expression of a localized protein thus causes cellular defects by overloading the capacities of localization processes.
- Published
- 2016
42. Engineered Biosynthesis of Natural Products in Saccharomyces cerevisiae
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Yuta Tsunematsu, Kenji Watanabe, and Hisao Moriya
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chemistry.chemical_compound ,biology ,Biochemistry ,Biosynthesis ,Chemistry ,Saccharomyces cerevisiae ,biology.organism_classification - Published
- 2012
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43. [Untitled]
- Author
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Hisao MORIYA
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- 2009
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44. Aneuploid proliferation defects in yeast are not driven by copy number changes of a few dosage-sensitive genes
- Author
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Angelika Amon, Hisao Moriya, Megan E. Bonney, Massachusetts Institute of Technology. Department of Biology, Koch Institute for Integrative Cancer Research at MIT, Bonney, Megan Ellis, and Amon, Angelika B.
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Genetics ,Down syndrome ,DNA Copy Number Variations ,Saccharomyces cerevisiae ,Gene Dosage ,Aneuploidy ,Chromosome ,Biology ,medicine.disease ,biology.organism_classification ,Gene dosage ,Phenotype ,Yeast ,Research Communication ,medicine ,Chromosomes, Fungal ,Gene ,Developmental Biology ,Cell Proliferation - Abstract
Aneuploidy—the gain or loss of one or more whole chromosome—typically has an adverse impact on organismal fitness, manifest in conditions such as Down syndrome. A central question is whether aneuploid phenotypes are the consequence of copy number changes of a few especially harmful genes that may be present on the extra chromosome or are caused by copy number alterations of many genes that confer no observable phenotype when varied individually. We used the proliferation defect exhibited by budding yeast strains carrying single additional chromosomes (disomes) to distinguish between the “few critical genes” hypothesis and the “mass action of genes” hypothesis. Our results indicate that subtle changes in gene dosage across a chromosome can have significant phenotypic consequences. We conclude that phenotypic thresholds can be crossed by mass action of copy number changes that, on their own, are benign., National Institutes of Health (U.S.) (GM056800)
- Published
- 2015
45. Integration of Transcriptional and Posttranslational Regulation in a Glucose Signal Transduction Pathway in Saccharomyces cerevisiae
- Author
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Valérie Brachet, Hisao Moriya, Jeong-Ho Kim, and Mark Johnston
- Subjects
Snf3 ,Saccharomyces cerevisiae Proteins ,Monosaccharide Transport Proteins ,Transcription, Genetic ,Saccharomyces cerevisiae ,Glucose Transport Proteins, Facilitative ,Microbiology ,Gene Expression Regulation, Fungal ,Gene expression ,Transcriptional regulation ,Promoter Regions, Genetic ,Molecular Biology ,Transcription factor ,Derepression ,Adaptor Proteins, Signal Transducing ,SKP Cullin F-Box Protein Ligases ,biology ,Ubiquitin ,Intracellular Signaling Peptides and Proteins ,Glucose transporter ,Membrane Proteins ,Articles ,General Medicine ,biology.organism_classification ,Chromatin ,DNA-Binding Proteins ,Repressor Proteins ,Glucose ,Biochemistry ,Mutation ,Trans-Activators ,Signal transduction ,Protein Processing, Post-Translational ,Signal Transduction ,Transcription Factors - Abstract
Glucose is an important source of carbon and energy for many organisms. This is particularly apparent in the budding yeast Saccharomyces cerevisiae, whose sophisticated glucose-sensing and -signaling mechanisms enable it to sense a wide range of glucose concentrations and utilize glucose efficiently (2, 7, 13). One of the first responses of yeast cells to glucose is induction of expression of the HXT genes, encoding glucose transporters (3, 18, 21, 28, 40). This is achieved through a signal transduction pathway that begins at the cell surface with the Snf3 and Rgt2 glucose sensors and ends in the nucleus with the Rgt1 transcription factor, which binds to HXT gene promoters (5, 12, 14, 27, 31). The glucose signal generated by Rgt2 and Snf3 at the cell surface alters Rgt1 function in the nucleus by stimulating degradation of Mth1 and Std1 (4, 23), paralogous proteins that bind to Rgt1 and are necessary for it to repress transcription (20, 30, 32). Mth1 and Std1 also interact with the C-terminal tails of the Rgt2 and Snf3 glucose sensors (19, 32). This places them in proximity to the Yck1 protein kinase, which is associated with the Snf3 and Rgt2 glucose sensors and is thought to catalyze phosphorylation of Mth1 and Std1 when glucose binds to the sensors (23, 37). Phosphorylated Mth1 and Std1 are targets of the SCFGrr1 ubiquitin-protein ligase, which is thought to catalyze their ubiquitination, thereby targeting them for degradation by the 26S proteasome (37). In the absence of Mth1 and Std1, Rgt1 loses its ability to repress transcription, leading to derepression of HXT gene expression (4, 20, 24, 30, 32). While there is ample evidence that glucose induces degradation of Mth1 via the 26S proteasome, conflicting results have been reported for the effect of glucose on Std1 (4, 23, 37). STD1 expression is induced by glucose via the Rgt2/Snf3-Rgt1 signal transduction pathway (15), and our data suggest that Std1 degradation is dampened by this glucose induction of STD1 expression via the Rgt2/Snf3-Rgt1 pathway. By contrast, MTH1 expression is repressed by glucose via the Snf1-Mig1 glucose repression pathway, and our results suggest that this reinforces Mth1 degradation. Thus, opposing transcriptional regulation of MTH1 and STD1 expression provides for rapid induction of HXT gene expression in response to glucose and for prompt establishment of repression of HXT gene expression when the available glucose has been exhausted. Thus, the course of induction and repression of the HXT genes is the result of close collaboration between two different glucose-sensing pathways that helps ensure efficient utilization of this key nutrient.
- Published
- 2006
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46. Inhibition of nuclear factor κB by IκB superrepressor gene transfer ameliorates ischemia-reperfusion injury after experimental lung transplantation
- Author
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G. Alexander Patterson, Hisao Moriya, Sekhar Dharmarajan, T. Ishiyama, M. Hayama, and Kathleen Grapperhaus
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Pulmonary and Respiratory Medicine ,Pathology ,medicine.medical_specialty ,medicine.medical_treatment ,Genetic Vectors ,Cold storage ,Apoptosis ,Pulmonary Edema ,Pharmacology ,Transfection ,Adenoviridae ,medicine ,Animals ,Lung transplantation ,Lung ,Caspase 3 ,business.industry ,Genetic transfer ,Gene Transfer Techniques ,NF-kappa B ,Pulmonary edema ,medicine.disease ,Rats, Inbred F344 ,Rats ,Transplantation ,medicine.anatomical_structure ,Caspases ,Reperfusion Injury ,I-kappa B Proteins ,Surgery ,business ,Cardiology and Cardiovascular Medicine ,Reperfusion injury ,Lung Transplantation - Abstract
Ischemia-reperfusion injury after lung transplantation is associated with significant morbidity and mortality. The activation of the transcription factor nuclear factor kappaB is central to the 2 important pathways that characterize ischemia-reperfusion injury, namely the inflammatory response and apoptosis. The purpose of this study was to determine the effects of nuclear factor kappaB inhibition on experimental lung transplant ischemia-reperfusion injury with gene transfer of the nuclear factor kappaB inhibitor IkappaB in a superrepressor form (IkappaBSR).An orthotopic left lung transplant model in isogeneic rats was used, with 18 hours of prolonged cold storage of donor lung grafts used to create severe ischemia-reperfusion injury. Donor rats underwent endobronchial gene transfection with saline alone or adenovirus encoding either beta-galactosidase control or IkappaBSR 48 hours before harvest. The function of transplanted lung grafts was assessed on the basis of isolated graft oxygenation, wet/dry lung weight ratio, and myeloperoxidase activity. Nuclear factor kappaB activation was assessed by means of enzyme-linked immunosorbent assay. Apoptotic cell death was assessed by evaluating the levels of histone-associated DNA fragments and caspase-3 activity.Treatment of donor lung grafts with IkappaBSR resulted in significantly improved oxygenation compared with that seen in control tissue 24 hours after transplantation. IkappaBSR-treated lungs also demonstrated less pulmonary edema and reduced neutrophil infiltration 24 hours after reperfusion. Nuclear factor kappaB activation and apoptotic cell death induction 2 hours after transplantation was significantly reduced in IkappaBSR-treated lungs compared with in control lungs.Inhibition of nuclear factor kappaB activation by IkappaBSR gene transfer improves transplanted lung graft oxygenation, decreases pulmonary edema and neutrophil sequestration, and reduces apoptotic cell death after experimental lung transplantation.
- Published
- 2005
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47. Measuring the Copy Number Limits of All Genes in Yeast
- Author
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Hisao Moriya
- Subjects
Genetics ,Biology ,Gene ,Yeast - Published
- 2013
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48. Post-Translational Dosage Compensation Buffers Genetic Perturbations to Stoichiometry of Protein Complexes
- Author
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Nicholas T. Ingolia, Koji Ishikawa, Koji Makanae, Shintaro Iwasaki, and Hisao Moriya
- Subjects
0301 basic medicine ,Genetic Screens ,Cancer Research ,Protein Expression ,Gene Dosage ,Gene Identification and Analysis ,Gene Expression ,Biochemistry ,0302 clinical medicine ,Gene Expression Regulation, Fungal ,Ribosome profiling ,Genetics (clinical) ,Genetics ,Dosage compensation ,Chromosome Biology ,Messenger RNA ,Fungal genetics ,Stoichiometry ,Cell biology ,Nucleic acids ,Chemistry ,Dosage Compensation ,Physical Sciences ,Chromosomes, Fungal ,Cellular Structures and Organelles ,Research Article ,Proteasome Endopeptidase Complex ,lcsh:QH426-470 ,Translational efficiency ,Protein subunit ,Saccharomyces cerevisiae ,Biology ,Research and Analysis Methods ,Gene dosage ,Chromosomes ,03 medical and health sciences ,Dosage Compensation, Genetic ,Gene Expression and Vector Techniques ,Gene Regulation ,Molecular Biology Techniques ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,Molecular Biology Assays and Analysis Techniques ,Organisms ,Fungi ,Biology and Life Sciences ,Robustness (evolution) ,Cell Biology ,Yeast ,Protein Subunits ,lcsh:Genetics ,030104 developmental biology ,Proteolysis ,RNA ,Ribosomes ,030217 neurology & neurosurgery ,Genetic screen - Abstract
Understanding buffering mechanisms for various perturbations is essential for understanding robustness in cellular systems. Protein-level dosage compensation, which arises when changes in gene copy number do not translate linearly into protein level, is one mechanism for buffering against genetic perturbations. Here, we present an approach to identify genes with dosage compensation by increasing the copy number of individual genes using the genetic tug-of-war technique. Our screen of chromosome I suggests that dosage-compensated genes constitute approximately 10% of the genome and consist predominantly of subunits of multi-protein complexes. Importantly, because subunit levels are regulated in a stoichiometry-dependent manner, dosage compensation plays a crucial role in maintaining subunit stoichiometries. Indeed, we observed changes in the levels of a complex when its subunit stoichiometries were perturbed. We further analyzed compensation mechanisms using a proteasome-defective mutant as well as ribosome profiling, which provided strong evidence for compensation by ubiquitin-dependent degradation but not reduced translational efficiency. Thus, our study provides a systematic understanding of dosage compensation and highlights that this post-translational regulation is a critical aspect of robustness in cellular systems., Author Summary Cells are exposed to environmental changes leading to fluctuations in biological processes. For example, changes in gene copy number are a source of such fluctuations. An increase in gene copy number generally leads to a linear increase in the amount of protein; however, a small number of genes do not show a proportional increase in protein level. We investigated how many of the genes exhibit this nonlinearity between gene copy number and protein level. Our screen of chromosome I suggests that genes with such nonlinear relationships constitute approximately 10% of the genome and consist predominantly of subunits of multi-protein complexes. Because previous studies showed that an imbalance of complex subunits is very toxic for cell growth, a function of the nonlinear relationship may be to correct the balance of complex subunits. We also investigated the underlying mechanisms of the nonlinearity by focusing on protein synthesis and degradation. Our data indicate that protein degradation, but not synthesis, is responsible for maintaining a balance of complex subunits. Thus, this study provides insight into the mechanisms for coping with the fluctuations in biological processes.
- Published
- 2017
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49. Analysis of genetic interactions betweenDHH1,SSD1 andELM1 indicates their involvement in cellular morphology determination inSaccharomyces cerevisiae
- Author
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Katsumi Isono and Hisao Moriya
- Subjects
Genetics ,Cyclin-dependent kinase 1 ,biology ,Saccharomyces cerevisiae ,Bioengineering ,Synthetic lethality ,biology.organism_classification ,Applied Microbiology and Biotechnology ,Biochemistry ,Phenotype ,Green fluorescent protein ,Cell biology ,Gene ,Mitosis ,Cytokinesis ,Biotechnology - Abstract
The DHH1 gene of Saccharomyces cerevisiae belongs to a family of genes that encode highly conserved DEAD-box proteins commonly present in various eukaryotic organisms. Its precise function in yeast has not yet been well documented. To investigate its role in vivo, we constructed a DHH1 disruptant, characterized it genetically and searched for genes the mutations in which would cause synthetic lethality in combination with the DHH1 disruption. CDC28, ELM1 and SSD1 were thus found to be such candidates and we subsequently analysed their interactions. Mutations in ELM1 were previously reported to result in the elongation of cells. We confirmed this phenotype and observed in addition elongated bud formation in an Elm1p overproducing strain. Also, Elm1p fused with the green fluorescent protein (GFP) was found to be localized at the bud neck. These and other observations seem to suggest that Elm1p plays a role during cytokinesis in S. cerevisiae. The phenotypes of strains harbouring either Δdhh1 Δelm1 or ssd1-d Δelm1 were very similar to each other, showing abnormal cellular morphology and defects in cytokinesis and mitosis. Furthermore, DHH1 and SSD1 could functionally complement each other in the ade2 red colour pigment formation, hypersensitivity to SDS, growth on synthetic media and at high temperature. A triple mutant, Δdhh1 ssd1-d Δelm1, apparently had very fragile cell walls and could grow only in a medium supplemented with 1 M sorbitol. Copyright © 1999 John Wiley & Sons, Ltd.
- Published
- 1999
- Full Text
- View/download PDF
50. Cloning and characterization of thehrpAgene in theterCregion ofEscherichia coilthat is highly similar to the DEAH family RNA helicase genes ofSaccharomyces cerevisiae
- Author
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Hiroaki Kasai, Katsumi Lsono, and Hisao Moriya
- Subjects
Saccharomyces cerevisiae Proteins ,RNA Splicing ,Genes, Fungal ,Molecular Sequence Data ,Sequence Homology ,Sequence alignment ,Saccharomyces cerevisiae ,Regulatory Sequences, Nucleic Acid ,Biology ,Conserved sequence ,DEAD-box RNA Helicases ,Fungal Proteins ,Gene product ,Bacterial Proteins ,Escherichia coli ,Genetics ,Amino Acid Sequence ,Cloning, Molecular ,Gene ,Adenosine Triphosphatases ,Base Sequence ,Escherichia coli Proteins ,Nucleic acid sequence ,RNA ,RNA Nucleotidyltransferases ,RNA Helicase A ,DNA-Binding Proteins ,Repressor Proteins ,Genes, Bacterial ,Multigene Family ,RNA splicing ,RNA Splicing Factors ,Sequence Alignment ,RNA Helicases ,Transcription Factors - Abstract
During the course of systematic nucleotide sequence analysis of the terC region of E.coli K-12 by using the ordered lambda phage clones, we found the presence of a gene, termed hrpA, that showed a high degree of sequence similarity to the PRP2, PRP16 and PRP22 genes of Saccharomyces cerevisiae. The products of these yeast genes are known to play their roles in mRNA splicing, and belong to a group of proteins collectively called the DEAH family. The hrpA gene is the first example of a DEAH family gene in prokaryotes. The N-terminal region of the protein it encodes contains conserved sequence stretches characteristic of an RNA helicase. Its molecular mass is calculated to be 146 kDa. Previously, a 135 kDa protein was identified by Moir et al. [J. Bacteriol. (1992) 174, 2102-2110] in this region which is most likely identical to that encoded by hrpA. The C-terminal region of the hrpA gene product seems to contain an RNA binding motif weakly resembling that of ribosomal protein S1 of E.coli. Disruption of the hrpA gene suggested that it is not essential for the growth of E.coli.
- Published
- 1995
- Full Text
- View/download PDF
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