Details of a Researcher - Tomita, Masaru

Papers - Tomita, Masaru

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Emergent genome-wide control in wildtype and genetically mutated lipopolysaccarides-stimulated macrophages

Tsuchiya, M., Piras, V., Choi, S., Akira, S., Tomita, M., Giuliani, A. and Selvarajoo, K.

PLoS One 4 ( 3 ) e4905 2009

Research paper (scientific journal), Joint Work, Accepted

Large-scale gene expression studies have mainly focused on highly expressed and 'discriminatory' genes to decipher key regulatory processes. Biological responses are consequence of the concerted action of gene regulatory network, thus, limiting our attention to genes having the most significant variations is insufficient for a thorough understanding of emergent whole genome response. Here we comprehensively analyzed the temporal oligonucleotide microarray data of lipopolysaccharide (LPS) stimulated macrophages in 4 genotypes; wildtype, Myeloid Differentiation factor 88 (MyD88) knockout (KO), TIR-domain-containing adapter-inducing interferon-b (TRIF) KO and MyD88/ TRIF double KO (DKO). Pearson correlations computed on the whole genome expression between different genotypes are extremely high (>0.98), indicating a strong co-regulation of the entire expression network. Further correlation analyses reveal genome-wide response is biphasic, i) acute-stochastic mode consisting of small number of sharply induced immune-related genes and ii) collective mode consisting of majority of weakly induced genes of diverse cellular processes which collectively adjust their expression level. Notably, temporal correlations of a small number of randomly selected genes from collective mode show scalability. Furthermore, in collective mode, the transition from large scatter in expression distributions for single ORFs to smooth linear lines emerges as an organizing principle when grouping of 50 ORFs and above. With this emergent behavior, the role of MyD88, TRIF and novel MyD88, TRIF-independent processes for gene induction can be linearly superposed to decipher quantitative whole genome differential control of transcriptional and mRNA decay machineries. Our work demonstrates genome-wide co-regulated responses subsequent to specific innate immune stimulus which have been largely neglected. © 2009 Tsuchiya et al.

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Ser/Thr/Tyr phosphoproteome analysis of pathogenic and non-pathogenic Pseudomonas species

Ravichandran, A., Sugiyama, N., Tomita, M., Swarup, S.　and Ishihama, Y.

Proteomics. (Proteomics) 9 ( 10 ) 2764-2775 - 2775 2009

Research paper (scientific journal), Joint Work, Accepted, ISSN 16159853

Protein phosphorylation on serine, threonine, and tyrosine is well established as a crucial regulatory posttranslational modification in eukaryotes. With the recent whole-genome sequencing projects reporting the presence of serine/threonine kinases and two-component proteins both in prokaryotes and eukaryotes, the importance of protein phosphorylation in archaea and bacteria is gaining acceptance. While conventional biochemical methods failed to obtain a snapshot of the bacterial phosphoproteomes, advances in MS methods have paved the way for in-depth mapping of phosphorylation sites. Here, we present phosphoproteomes of two ecologically diverse non-enteric Gram-negative bacteria captured by a nanoLC-MS-based approach combined with a novel phosphoenrichment method. While the phosphoproteome data from the two species are not very similar, the results reflect high similarity to the previously published dataset in terms of the pathways the phosphoproteins belong to. This study additionally provides evidence to prior observations that protein phosphorylation is common in bacteria. Notably, phosphoproteins identified in Pseudomonas aeruginosa belong to motility, transport, and pathogenicity pathways that are critical for survival and virulence. We report, for the first time, that motility regulator A, probably acting via the novel secondary messenger cyclic diguanylate monophosphate, significantly affects protein phosphorylation in Pseudomonas putida. ©2009 Wiley-VCH Verlag GmbH & Co. KGaA.

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Network features and pathway analyses of a signal transduction cascade

Yanashima, R, Kitagawa N., Matsubara, Y., Weatheritt, R., Oka, K., Kikuchi, S., Tomita, M,and Ishizaki, S.

Front Neuroinform. 3 ( MAY ) 13 2009

Research paper (scientific journal), Joint Work, Accepted, ISSN 16625196

The scale-free and small-world network models reflect the functional units of networks. However, when we investigated the network properties of a signaling pathway using these models, no significant differences were found between the original undirected graphs and the graphs in which inactive proteins were eliminated from the gene expression data. We analyzed signaling networks by focusing on those pathways that best reflected cellular function. Therefore, our analysis of pathways started from the ligands and progressed to transcription factors and cytoskeletal proteins. We employed the Python module to assess the target network. This involved comparing the original and restricted signaling cascades as a directed graph using microarray gene expression profi les of late onset Alzheimer's disease. The most commonly used method of shortest-path analysis neglects to consider the influences of alternative pathways that can affect the activation of transcription factors or cytoskeletal proteins. We therefore introduced included k-shortest paths and k-cycles in our network analysis using the Python modules, which allowed us to attain a reasonable computational time and identify k-shortest paths. This technique reflected results found in vivo and identified pathways not found when shortest path or degree analysis was applied. Our module enabled us to comprehensively analyse the characteristics of biomolecular networks and also enabled analysis of the effects of diseases considering the feedback loop and feedforward loop control structures as an alternative path. © 2009 Yanashima, Kitagawa, Matsubara, Weatheritt, Oka, Kikuchi, Tomita and Ishizaki.

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Quantitative Metabolome Profiling of Colon and Stomach Cancer Microenvironment by Capillary Electrophoresis Time-of-Flight Mass Spectrometry

Hirayama, A., Kami, K., Sugimoto, M., Sugawara, M., Toki, N., Onozuka, H., Kinoshita, T., Saito, N., Ochiai, A., Tomita, M., Esumi, H. and Soga, T.

Cancer Res (Cancer Research) 69 ( 11 ) 4918-25 - 4925 2009

Research paper (scientific journal), Joint Work, Accepted, ISSN 00085472

Most cancer cells predominantly produce energy by glycolysis rather than oxidative phosphorylation via the tricarboxylic acid (TCA) cycle, even in the presence of an adequate oxygen supply (Warburg effect). However, little has been reported regarding the direct measurements of global metabolites in clinical tumor tissues. Here, we applied capillary electrophoresis time-of-flight mass spectrometry, which enables comprehensive and quantitative analysis of charged metabolites, to simultaneously measure their levels in tumor and grossly normal tissues obtained from 16 colon and 12 stomach cancer patients. Quantification of 94 metabolites in colon and 95 metabolites in stomach involved in glycolysis, the pentose phosphate pathway, the TCA and urea cycles, and amino acid and nucleotide metabolisms resulted in the identification of several cancer-specific metabolic traits. Extremely low glucose and high lactate and glycolytic intermediate concentrations were found in both colon and stomach tumor tissues, which indicated enhanced glycolysis and thus confirmed the Warburg effect. Significant accumulation of all amino acids except glutamine in the tumors implied autophagic degradation of proteins and active glutamine breakdown for energy production, i.e., glutaminolysis. In addition, significant organ-specific differences were found in the levels of TCA cycle intermediates, which reflected the dependency of each tissue on aerobic respiration according to oxygen availability. The results uncovered unexpectedly poor nutritional conditions in the actual tumor microenvironment and showed that capillary electrophoresis coupled to mass spectrometry-based metabolomics, which is capable of quantifying the levels of energy metabolites in tissues, could be a powerful tool for the development of novel anticancer agents that target cancer-specific metabolism. ©2009 American Association for Cancer Research.

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Measure of synonymous codon usage diversity among genes in bacteria

Suzuki, H., Saito, R. and Tomita, M

BMC Bioinformatics (BMC Bioinformatics) 10 167 2009

Research paper (scientific journal), Joint Work, Accepted

Background: In many bacteria, intragenomic diversity in synonymous codon usage among genes has been reported. However, no quantitative attempt has been made to compare the diversity levels among different genomes. Here, we introduce a mean dissimilarity-based index (Dmean) for quantifying the level of diversity in synonymous codon usage among all genes within a genome. Results: The application of Dmean to 268 bacterial genomes shows that in bacteria with extremely biased genomic G+C compositions there is little diversity in synonymous codon usage among genes. Furthermore, our findings contradict previous reports. For example, a low level of diversity in codon usage among genes has been reported for Helicobacter pylori, but based on Dmean, the diversity level of this species is higher than those of more than half of bacteria tested here. The discrepancies between our findings and previous reports are probably due to differences in the methods used for measuring codon usage diversity. Conclusion: We recommend that Dmean be used to measure the diversity level of codon usage among genes. This measure can be applied to other compositional features such as amino acid usage and dinucleotide relative abundance as a genomic signature. © 2009 Suzuki et al; licensee BioMed Central Ltd.

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Metabolomic Profiling of Anionic Metabolites by Capillary Electrophoresis Mass Spectrometry

Soga, T., Igarashi, K., Itoh, C., Mizobuchi, K., Zimmermann, H. P. and Tomita, M.

Analytical Chemistry (Analytical Chemistry) 81 ( 15 ) 6165-6174 - 6174 2009

Research paper (scientific journal), Joint Work, Accepted, ISSN 00032700

We describe a sheath flow capillary electrophoresis time-of-flight mass spectrometry (CE-TOFMS) method in the negative mode using a platinum electrospray ionization (ESI) spray needle, which allows the comprehensive analysis of anionic metabolites. The material of the spray needle had significant effect on the measurement of anions. A stainless steel spray needle was oxidized and corroded at the anodic electrode due to electrolysis. The precipitation of iron oxides (rust) plugged the capillary outlet, resulting in shortened capillary lifetime. Many anionic metabolites also formed complexes with the iron oxides or migrating nickel ion, which was also generated by electrolysis and moved toward the cathode (the capillary inlet). The metal-anion complex formation significantly reduced detection sensitivity of the anionic compounds. The use of a platinum ESI needle prevented both oxidation of the metals and needle corrosion. Sensitivity using the platinum needle increased from several- to 63-fold, with the largest improvements for anions exhibiting high metal chelating properties such as carboxylic acids, nucleotides, and coenzyme A compounds. The detection limits for most anions were between 0.03 and 0.87 μmol/L (0.8 and 24 fmol) at a signal-to-noise ratio of 3. This method is quantitative, sensitive, and robust, and its utility was demonstrated by the analysis of the metabolites in the central metabolic pathways extracted from mouse liver. © 2009 American Chemical Society.

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Systematic identification of cell cycle-dependent yeast nucleocytoplasmic shuttling proteins by prediction of composite motifs

Kosugi, S., Hasebe, M., Tomita, M. and Yanagawa, H.

Proc Natl Acad Sci U S A. (Proceedings of the National Academy of Sciences of the United States of America) 106 ( 31 ) 13142. - 10176 2009

Research paper (scientific journal), Joint Work, Accepted, ISSN 00278424

The cell cycle-dependent nucleocytoplasmic transport of proteins is predominantly regulated by CDK kinase activities; however, it is currently difficult to predict the proteins thus regulated, largely because of the low prediction efficiency of the motifs involved. Here, we report the successful prediction of CDK1-regulated nucleocytoplasmic shuttling proteins using a prediction system for nuclear localization signals (NLSs). By systematic amino acid replacement analyses in budding yeast, we created activity-based profiles for different classes of importin-α-dependent NLSs that represent the functional contributions of different amino acids at each position within an NLS class. We then developed a computer program for prediction of the classical importin-α/β pathway-specific NLSs (cNLS Mapper, available at http//nls-mapper.iab.keio.ac.jp/) that calculates NLS activities by using these profiles and an additivity-based motif scoring algorithm. This calculation method achieved significantly higher prediction accuracy in terms of both sensitivity and specificity than did current methods. The search for NLSs that overlap the consensus CDK1 phosphorylation site by using cNLS Mapper identified all previously reported and 5 previously uncharacterized yeast proteins (Yen1, Psy4, Pds1, Msa1, and Dna2) displaying CDK1- and cell cycle-regulated nuclear transport. CDK1 activated or repressed their nuclear import activity, depending on the position of CDK1-phosphorylation sites within NLSs. The application of this strategy to other functional linear motifs should be useful in systematic studies of protein-protein networks.

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Systematic phenome analysis of Escherichia coli multiple-knockout mutants reveals hidden reactions in central carbon metabolism

Nakahigashi, K., Toya, Y., Ishii, N., Soga, T., Hasegawa, M., Watanabe, H., Takai, Y., Honma, M., Mori, H. and Tomita, M.

Molecular Systems Biology 5 306 2009

Research paper (scientific journal), Joint Work, Accepted, ISSN 17444292

Central carbon metabolism is a basic and exhaustively analyzed pathway. However, the intrinsic robustness of the pathway might still conceal uncharacterized reactions. To test this hypothesis, we constructed systematic multiple-knockout mutants involved in central carbon catabolism in Escherichia coli and tested their growth under 12 different nutrient conditions. Differences between in silico predictions and experimental growth indicated that unreported reactions existed within this extensively analyzed metabolic network. These putative reactions were then confirmed by metabolome analysis and in vitro enzymatic assays. Novel reactions regarding the breakdown of sedoheptulose-7-phosphate to erythrose-4-phosphate and dihydroxyacetone phosphate were observed in transaldolase-deficient mutants, without any noticeable changes in gene expression. These reactions, triggered by an accumulation of sedoheptulose-7-phosphate, were catalyzed by the universally conserved glycolytic enzymes ATP-dependent phosphofructokinase and aldolase. The emergence of an alternative pathway not requiring any changes in gene expression, but rather relying on the accumulation of an intermediate metabolite may be a novel mechanism mediating the robustness of these metabolic networks. © 2009 EMBO and Macmillan Publishers Limited.

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A web server for interactive and zoomable Chaos Game Representation images

Arakawa, K., Oshita, K. and Tomita, M.

Source Code for Biology and Medicine (Source Code for Biology and Medicine) 4 6 2009

Research paper (scientific journal), Joint Work, Accepted

Chaos Game Representation (CGR) is a generalized scale-independent Markov transition table, which is useful for the visualization and comparative study of genomic signature, or for the study of characteristic sequence motifs. However, in order to fully utilize the scale-independent properties of CGR, it should be accessible through scale-independent user interface instead of static images. Here we describe a web server and Perl library for generating zoomable CGR images utilizing Google Maps API, which is also easily searchable for specific motifs. The web server is freely accessible at http://www.g-language.org/wiki/cgr/, and the Perl library as well as the source code is distributed with the G-language Genome Analysis Environment under GNU General Public License. © 2009 Arakawa et al; licensee BioMed Central Ltd.

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Modeling reaction-diffusion of molecules on surface and in volume spaces with the E-Cell System

Arjunan, S. N. V., and Tomita, M.

International Journal of Computer Science and Information Security 3 ( 1 ) 211-216 2009

Research paper (scientific journal), Joint Work, Accepted

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In silico modeling and metabolome analysis of long-stored erythrocytes to improve blood storage methods

Nishino, T., Yachie, A. K., Hirayama. A., Soga, T., Suematsu, T., and Tomita, M.

Journal of Biotechnology (Journal of Biotechnology) 144 ( 3 ) 212-223 - 223 2009

Research paper (scientific journal), Joint Work, Accepted, ISSN 01681656

There is currently no effective method for preventing ATP and 2,3-bisphosphoglycerate (2,3-BPG) depletion during long-term erythrocyte storage in the cold, although these metabolites are strongly associated with cell viability and oxygen delivery after transfusion. Metabolite reduction is caused by whole metabolic networks in the cell, which are regulated by various physical or chemical factors. Mathematical modeling is a powerful tool for integrating such complex and dynamic systems. Here, we developed a mathematical model to predict metabolism in erythrocytes preserved with a mannitol-adenine-phosphate solution (MAP) at 4 °C, by modifying a published model of large-scale erythrocyte metabolism. Our model successfully reproduced the reported decreases in ATP and 2,3-BPG during storage. Analysis of our model identified several enzymatic reactions and factors related to ATP and 2,3-BPG depletions, which may serve as possible targets for improving blood storage methods. We also performed metabolome analysis of laboratory-made MAP-stored erythrocytes using capillary electrophoresis time-of-flight mass spectrometry (CE-TOFMS), which provided a comprehensive view of the metabolism dynamics. Alterations in the metabolic intermediate concentrations after long storage were qualitatively predicted by the model. Finally, through further systematic analysis, we also discuss the usability of our model. © 2009 Elsevier B.V. All rights reserved.

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Pathway Projector: Web-based Zoomable Pathway Browser using KEGG Atlas and Google Maps API

Kono, N., Arakawa, K., Ogawa, R., Kido, N., Oshita, K., Ikegami, K., Tamaki, S. and Tomita, M.

PLoS ONE (PLoS ONE) 4 ( 11 ) e7710 2009

Research paper (scientific journal), Joint Work, Accepted

Background: Biochemical pathways provide an essential context for understanding comprehensive experimental data and the systematic workings of a cell. Therefore, the availability of online pathway browsers will facilitate post-genomic research, just as genome browsers have contributed to genomics. Many pathway maps have been provided online as part of public pathway databases. Most of these maps, however, function as the gateway interface to a specific database, and the comprehensiveness of their represented entities, data mapping capabilities, and user interfaces are not always sufficient for generic usage. Methodology/Principal Findings: We have identified five central requirements for a pathway browser: (1) availability of large integrated maps showing genes, enzymes, and metabolites; (2) comprehensive search features and data access; (3) data mapping for transcriptomic, proteomic, and metabolomic experiments, as well as the ability to edit and annotate pathway maps; (4) easy exchange of pathway data; and (5) intuitive user experience without the requirement for installation and regular maintenance. According to these requirements, we have evaluated existing pathway databases and tools and implemented a web-based pathway browser named Pathway Projector as a solution. Conclusions/Significance: Pathway Projector provides integrated pathway maps that are based upon the KEGG Atlas, with the addition of nodes for genes and enzymes, and is implemented as a scalable, zoomable map utilizing the Google Maps API. Users can search pathway-related data using keywords, molecular weights, nucleotide sequences, and amino acid sequences, or as possible routes between compounds. In addition, experimental data from transcriptomic, proteomic, and metabolomic analyses can be readily mapped. Pathway Projector is freely available for academic users at http://www.g-language.org/PathwayProjector/. © 2009 Kono et al.

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Disrupted tRNA Gene Diversity and Possible Evolutionary Scenarios

Sugahara, J., Fujishima, K., Morita, K., Tomita, M. and Kanai , A.

Journal of Molecular Evolution (Journal of Molecular Evolution) 69 ( 5 ) 497-504 - 504 2009

Research paper (scientific journal), Joint Work, Accepted, ISSN 00222844

The following unusual tRNAs have recently been discovered in the genomes of Archaea and primitive Eukaryota: multiple-intron-containing tRNAs, which have more than one intron; split tRNAs, which are produced from two pieces of RNA transcribed from separate genes; tri-split tRNAs, which are produced from three separate genes; and permuted tRNA, in which the 5′ and 3′ halves are encoded with permuted orientations within a single gene. All these disrupted tRNA genes can form mature contiguous tRNA, which is aminoacylated after processing by cis or trans splicing. The discovery of such tRNA disruptions has raised the question of when and why these complex tRNA processing pathways emerged during the evolution of life. Many previous reports have noted that tRNA genes contain a single intron in the anticodon loop region, a feature common throughout all three domains of life, suggesting an ancient trait of the last universal common ancestor. In this context, these unique tRNA disruptions recently found only in Archaea and primitive Eukaryota provide new insight into the origin and evolution of tRNA genes, encouraging further research in this field. In this paper, we summarize the phylogeny, structure, and processing machinery of all known types of disrupted tRNAs and discuss possible evolutionary scenarios for these tRNA genes. © 2009 Springer Science+Business Media, LLC.

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Update on the Keio collection of Escherichia coli single-gene deletion mutants

Yamamoto, N., Nakahigashi, K., Nakamichi, T., Yoshino, M., Takai, Y., Touda, Y., Furubayashi, A., Kinjyo, S., Dose, H., Hasegawa, M., Datsenko, K. A., Toru Nakayashiki, T., Tomita, M., Barry L Wanner, L. B. and Hirotada Mori, H.

Molecular Systems Biology 5 335 2009

Research paper (scientific journal), Joint Work, Accepted

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Recharacterization of Chlamydomonas reinhardtii and its relatives with new isolates from Japan

Nakada, T., Shinkawa, H., Ito, T., and Tomita, M.

J Plant Res (Journal of Plant Research) 123 ( 1 ) 67–78 - 78 2009

Research paper (scientific journal), Joint Work, Accepted, ISSN 09189440

Chlamydomonas reinhardtii P. A. Dang. (Volvocales, Chlorophyceae) is one of the most intensely studied algae, and its whole genome was sequenced. Although this species was originally described based on materials from France and is often referred to as a cosmopolitan species, all culture strains available today have been isolated from eastern North America. The distinctions with similar and/or closely related species, such as Chlamydomonas globosa J. Snow and Chlamydomonas orbicularis E. G. Pringsh., are also contentious. In this study, new strains of C. reinhardtii and C. globosa were isolated from Japan and compared with several strains similar to C. reinhardtii. Based on the morphological, genealogical, phylogenetical, and mating studies including the new Japanese strains, the circumscription of C. reinhardtii was clarified. C. reinhardtii was most closely related to C. globosa, and they were shown to be different species. Although C. reinhardtii was similar to C. orbicularis, the authentic strain of C. orbicularis was morphologically distinguishable and phylogenetically distant from C. reinhardtii. Discovery of the Japanese strains of C. reinhardtii supports the cosmopolitan distribution of this species. Based on Japanese strains and/or strains from other countries, emended descriptions of C. reinhardtii, C. globosa, and C. orbicularis are given. © The Botanical Society of Japan and Springer 2009.

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Quantitative analysis of replication-related mutation and selection pressures in bacterial chromosomes and plasmids using generalised GC skew index

Arakawa, K., Suzuki, H. and Tomita, M.

BMC Genomics (BMC Genomics) 10 640 2009

Research paper (scientific journal), Joint Work, Accepted

Background: Due to their bi-directional replication machinery starting from a single finite origin, bacterial genomes show characteristic nucleotide compositional bias between the two replichores, which can be visualised through GC skew or (C-G)/(C+G). Although this polarisation is used for computational prediction of replication origins in many bacterial genomes, the degree of GC skew visibility varies widely among different species, necessitating a quantitative measurement of GC skew strength in order to provide confidence measures for GC skew-based predictions of replication origins.Results: Here we discuss a quantitative index for the measurement of GC skew strength, named the generalised GC skew index (gGCSI), which is applicable to genomes of any length, including bacterial chromosomes and plasmids. We demonstrate that gGCSI is independent of the window size and can thus be used to compare genomes with different sizes, such as bacterial chromosomes and plasmids. It can suggest the existence of different replication mechanisms in archaea and of rolling-circle replication in plasmids. Correlation of gGCSI values between plasmids and their corresponding host chromosomes suggests that within the same strain, these replicons have reproduced using the same replication machinery and thus exhibit similar strengths of replication strand skew.Conclusions: gGCSI can be applied to genomes of any length and thus allows comparative study of replication-related mutation and selection pressures in genomes of different lengths such as bacterial chromosomes and plasmids. Using gGCSI, we showed that replication-related mutation or selection pressure is similar for replicons with similar machinery. © 2009 Arakawa et al; licensee BioMed Central Ltd.

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Correlation between Sensory Evaluation Scores of Japanese Sakeand Metabolome Profiles

Sugimoto, M., Koseki ,T., Hirayama, A., Abe, S., Sano, T., Tomita, M., and Soga, T.

J. Agric. FoodChem 2010 (Journal of Agricultural and Food Chemistry) 58 ( 1 ) 374–383 - 383 2009

Research paper (scientific journal), Joint Work, Accepted, ISSN 00218561

The aim of this study was to explore the association between taste and metabolite profiles of Japanese refined sake. Nontarget metabolome analysis was conducted using capillary electrophoresis mass spectrometry. Zatsumi, an unpleasant not clear flavor, and sweetness, bitterness, and sourness were graded by four experienced panelists. Regression models based on support vector regression (SVR) were used to estimate the relationships among sensory evaluation scores and quantified metabolites and visualized as a nonlinear relationship between sensory scores and metabolite components. The SVR model was highly accurate and versatile: the correlation coefficients for whole training data, cross-validation, and separated validation data were 0.86, 0.73, and 0.73, respectively, for zatsumi. Other sensory scores were also analyzed and modeled by SVR. The methodology demonstrated here carries great potential for predicting the relevant parameters and quantitative relationships between charged metabolites and sensory evaluation in Japanese refined sake. © 2009 American Chemical Society.

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Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profiles

Sugimoto, M., Wong, D. T., Hirayama, A., Soga, T. and Tomita

Metabolomics (Metabolomics) 6 ( 1 ) 78-95 - 95 2009

Research paper (scientific journal), Joint Work, Accepted, ISSN 15733882

Saliva is a readily accessible and informative biofluid, making it ideal for the early detection of a wide range of diseases including cardiovascular, renal, and autoimmune diseases, viral and bacterial infections and, importantly, cancers. Saliva-based diagnostics, particularly those based on metabolomics technology, are emerging and offer a promising clinical strategy, characterizing the association between salivary analytes and a particular disease. Here, we conducted a comprehensive metabolite analysis of saliva samples obtained from 215 individuals (69 oral, 18 pancreatic and 30 breast cancer patients, 11 periodontal disease patients and 87 healthy controls) using capillary electrophoresis time-of-flight mass spectrometry (CE-TOF-MS). We identified 57 principal metabolites that can be used to accurately predict the probability of being affected by each individual disease. Although small but significant correlations were found between the known patient characteristics and the quantified metabolites, the profiles manifested relatively higher concentrations of most of the metabolites detected in all three cancers in comparison with those in people with periodontal disease and control subjects. This suggests that cancer-specific signatures are embedded in saliva metabolites. Multiple logistic regression models yielded high area under the receiver-operating characteristic curves (AUCs) to discriminate healthy controls from each disease. The AUCs were 0.865 for oral cancer, 0.973 for breast cancer, 0.993 for pancreatic cancer, and 0.969 for periodontal diseases. The accuracy of the models was also high, with cross-validation AUCs of 0.810, 0.881, 0.994, and 0.954, respectively. Quantitative information for these 57 metabolites and their combinations enable us to predict disease susceptibility. These metabolites are promising biomarkers for medical screening. © The Author(s) 2009.

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Quantitative Proteome and Phosphoproteome Analyses of Cultured Cells Based on SILAC Labeling without Requirement of Serum Dialysis

Imami, K., Sugiyama, N., Tomita, M. and Ishihama, Y.

Mol. BioSyst. (Molecular BioSystems) 6 ( 3 ) 594-602 - 602 2009

Research paper (scientific journal), Joint Work, ISSN 1742206X

The use of dialyzed serum is essential in the application of the conventional stable isotope labeling by amino acids in cell culture (SILAC) approach to achieve complete labeling of proteins for quantitative proteomics. Here, we first evaluated the impact of dialyzed serum on the proteome and phosphoproteome of hormone-sensitive breast cancer MCF-7 cells and found that dialyzed serum influenced the expression of proteins related to signaling systems via hormone receptors, inducing a marked change of the phosphoproteome compared with the use of non-dialyzed serum. We also evaluated 9 other cell lines, including HeLa, HEK293 and Panc1, and found that the influence of serum dialysis on the expression profiles of the proteome and phosphoproteome varied, depending on the cell type. To avoid these problems, we established a SILAC-based quantification approach without the requirement of serum dialysis. Our simple approach is based on dual labeling of two populations of cells with two kinds of heavy amino acids of different mass, using non-dialyzed serum. Using our SILAC approach with non-dialyzed serum, we successfully quantified the phosphoproteome of MCF-7 cells induced by lapatinib, an EGFR1/Her2 dual kinase inhibitor. Because of the dual labeling approach, our method is widely applicable to cultured cells in which protein labeling is incomplete for any reason, e.g., owing to the use of non-dialyzed serum or a low growth rate. © 2010 The Royal Society of Chemistry.

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Comprehensive analysis of archaeal tRNA genes reveals rapid increase of tRNA introns in the order thermoproteales

Sugahara J., Kikuta K., Fujishima K., Yachie N., Tomita M., Kanai A.

Molecular Biology and Evolution 25 ( 12 ) 2709 - 2716 2008.12

ISSN 07374038

The analysis of archaeal tRNA genes is becoming more important to evaluate the origin and evolution of tRNA molecule. Even with the recent accumulation of complete genomes of numerous archaeal species, several tRNA genes are still required for a full complement of the codon table. We conducted comprehensive screening of tRNA genes from 47 archaeal genomes by using a combination of different types of tRNA prediction programs and extracted a total of 2,143 reliable tRNA gene candidates including 437 intron-containing tRNA genes, which covered more than 99.9% of the codon tables in Archaea. Previously, the content of intron-containing tRNA genes in Archaea was estimated to be approximately 15% of the whole tRNA genes, and most of the introns were known to be located at canonical positions (nucleotide position between 37 and 38) of precursor tRNA (pre-tRNA). Surprisingly, we observed marked enrichment of tRNA introns in five species of the archaeal order Thermoproteales; about 70% of tRNA gene candidates were found to be intron-containing tRNA genes, half of which contained multiple introns, and the introns were located at various noncanonical positions. Sequence similarity analysis revealed that approximately half of the tRNA introns found at Thermoproteales-specific intron locations were highly conserved among several tRNA genes. Intriguingly, identical tRNA intron sequences were found within different types of tRNA genes that completely lacked exon sequence similarity, suggesting that the tRNA introns in Thermoproteales could have been gained via intron insertion events at a later stage of tRNA evolution. Moreover, although the CCA sequence at the 3′ terminal of pre-tRNA is added by a CCA-adding enzyme after gene transcription in Archaea, most of the tRNA genes containing highly conserved introns already encode the CCA sequence at their 3′ terminal. Based on these results, we propose possible models explaining the rapid increase of tRNA introns as a result of intron insertion events via retrotransposition of pre-tRNAs. The sequences and secondary structures of the tRNA genes and their bulge-helix-bulge motifs were registered in SPLITSdb (http://splits.iab.keio.ac.jp/splitsdb/), a novel and comprehensive database for archaeal tRNA genes. © The Author 2008. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved.

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