HMTの発表論文・総説
- メタボロミクス・バイオマーカー関連
- プロテオミクス、
その他当社の技術に関連する論文 - 総説
メタボロミクス・バイオマーカー関連
Reduced cerebrospinal fluid ethanolamine concentration in major depressive disorder.
Ogawa S, Hattori K, Sasayama D, Yokota Y, Matsumura R, Matsuo J, Ota M, Hori H, Teraishi T, Yoshida S, Noda T, Ohashi Y, Sato H, Higuchi T, Motohashi N, Kunugi H Sci Rep,
5:
7796,
2015
Statistical hypothesis testing of factor loading in principal component analysis and its application to metabolite set enrichment analysis.
Yamamoto H, Fujimori T, Sato H, Ishikawa G, Kami K, Ohashi Y BMC Bioinformatics.,
15(1):
51,
2014
多変量解析
Non-targeted human plasma metabolomics reveals the changes in oleoylethanolamide, a lipid-derived signaling molecule, by acute exposure of electric field.
Nakagawa-Yagi Y, Hara H, Fujimori T, Yamaguchi T, Midorikawa A, Hara A Integr Mol Med,
1(2):
29-37,
2014
デュアルスキャンバイオマーカーヒト血液
A snapshot of plasma metabolites in first-episode schizophrenia: a capillary electrophoresis time-of-flight mass spectrometry study.
Koike S, Bundo M, Iwamoto K, Suga M, Kuwabara H, Ohashi Y, Shinoda K, Takano Y, Iwashiro N, Satomura Y, Nagai T, Natsubori T, Tada M, Yamasue H, Kasai K Transl Psychiatry,
4:
e379,
2014
Upregulation of colonic luminal polyamines produced by intestinal microbiota delays senescence in mice.
Kibe R, Kurihara S, Sakai Y, Suzuki H, Ooga T, Sawaki E, Muramatsu K, Nakamura A, Yamashita A, Kitada Y, Kakeyama M, Benno Y, Matsumoto M Sci Rep,
4:
4548,
2014
Cerebral low-molecular metabolites influenced by intestinal microbiota: a pilot study.
Matsumoto M, Kibe R, Ooga T, Aiba Y, Sawaki E, Koga Y, Benno Y. Front. Syst. Neurosci.,
7:
9,
2013
Metabolome analysis of photosynthesis and the related primary metabolites in the leaves of transgenic rice plants with increased or decreased Rubisco content.
Suzuki Y, Fujimori T, Kanno K, Sasaki A, Ohashi Y, Makino A Plant Cell Environ.,
35(8):
1369-79,
2012
Impact of Intestinal Microbiota on Intestinal Luminal Metabolome.
Matsumoto M, Kibe R, Ooga T, Aiba Y, Kurihara S, Sawaki E, Koga Y, Benno Y Sci Reports,
2:
Article number:233,
2012
Metabolomic profiling of lung and prostate tumor tissues by capillary electrophoresis time-of-flight mass spectrometry.
Kenjiro Kami, Tamaki Fujimori, Hajime Sato, Mutsuko Sato, Hiroyuki Yamamoto, Yoshiaki Ohashi, Naoyuki Sugiyama, Yasushi Ishihama, Hiroko Onozuka, Atsushi Ochiai, Hiroyasu Esumi, Tomoyoshi Soga, Masaru Tomita Metabolomics,
9(2):
444-453,
2012
Metabolomic anatomy of an animal model revealing homeostatic imbalances in dyslipidaemia.
Ooga T, Sato H, Nagashima A, Sasaki K, Tomita M, Soga T, Ohashi Y Mol Biosyst.,
7(4):
1217-23,
2011
Degradation of ppGpp by nudix pyrophosphatase modulates the transition of growth phase in the bacterium Thermus thermophilus.
Ooga T, Ohashi Y, Kuramitsu S, Koyama Y, Tomita M, Soga T, Masui R J Biol Chem.,
284(23):
15549-56,
2009
Depiction of metabolome changes in histidine-starved Escherichia coli by CE-TOFMS
Ohashi Y., Hirayama A., Ishikawa T., Nakamura S., Shimizu K., Ueno Y., Tomita M., and Soga T Mol. BioSyst.,
4(2):
135-147,
2008
Comparison of metabolite production capability indices generated by network analysis methods
Ishii K., Nakamura S., Morohashi M., Sugimoto M., Ohashi Y., Kikuchi S., and Tomita M Biosystems,
91(1):
166-170,
2007
Model based definition of population heterogeneity and its effects on metabolism in sporulating Bacillus subtilis.
Morohashi M., Ohashi Y., Tani S., Ishii K., Itaya M., Nanamiya H., Kawamura F., Tomita M., Soga T J Biochem,
142(2):
183-191,
2007
Multiple High-throughput analyses monitor the response of E. coli to perturbations.
Ishii N.*, Nakahigashi K.*, Baba T.*, Robert M.*, Soga T.*, Kanai A.*, Hirasawa T.*, Naba M., Hirai K., Hoque A., Ho P.Y., Kakazu Y., Sugawara K., Igarashi S., Harada S., Masuda T., Sugiyama N., Togashi T., Hasegawa M., Takai Y., Yugi K., Arakawa K., Iwata N., Toya Y., Nakayama Y., Nishioka T., Shimizu K., Mori H., Tomita M (*These authors contributed equally to this work. ) Science,
316(5824):
593-597,
2007
P-BOSS: A new filtering method for treasure hunting in metabolomics.
Morohashi M., Shimizu K., Ohashi Y., Abe J., Mori H., Tomita M., and Soga T J. Chromatogr. A.,
1159(1-2):
125-133,
2007
Differential metabolomics reveals ophthalmic acid as an oxidative stress biomarker indicating hepatic glutathione consumption.
Soga T., Baran R., Suematsu M., Ueno Y., Ikeda S., Sakurakawa T., Kakazu Y., Ishikawa T., Robert M., Nishioka T., Tomita M J. Biol. Chem.,
281(24):
16768-76,
2006
Large-scale prediction of cationic metabolites identity and migration time in capillary electrophoresis mass spectrometry using artificial neural networks.
Sugimoto M., Kikuchi S., Arita M., Soga T., Nishioka T., and Tomita M Anal. Chem.,
77(1):
78-84,
2005
Simultaneous determination of main metabolites in rice leaves using capillary electrophoresis mass spectrometry and capillary electrophoresis diode array detection.
Sato S., Soga T., Nishioka T., and Tomita M Plant J.,
40(1):
151-163,
2004
Qualitative and quantitative analysis of amino acids by capillary electrophoresis electrospray ionization tandem mass spectrometry.
Soga T., Kakazu Y., Robert M., Tomita M., and Nishioka T Electrophoresis,
25(13):
1964-1972,
2004
Quantitative metabolome analysis using capillary electrophoresis mass spectrometry
Soga T., Ohashi Y., Ueno Y., Naraoka H., Tomita M., and Nishioka T J. Proteome Res.,
2(5):
488-494,
2003
Pressure assisted capillary electrophoresis electrospray ionization mass spectrometry for analysis of multivalent anions.
Soga T., Ueno Y., Naraoka H., Matsuda K., Tomita M., and Nishioka T Anal. Chem.,
74(24):
6224-6229,
2002
Simultaneous determination of anionic intermediates for Bacillus subtilis metabolic pathways by capillary electrophoresis electrospray ionization mass spectrometry.
Soga T., Ueno Y., Naraoka H., Ohashi Y., Tomita M., and Nishioka T Anal. Chem.,
74(19):
2233-2239,
2002
プロテオミクス、その他当社の技術に関連する論文
emPAI Calc — for the estimation of protein abundance from large-scale identification data by liquid chromatography-tandem mass spectrometry.
Shinoda K, Tomita M, Ishihama Y Bioinformatics.,
26(4):
576-7,
2010
Quantitative proteome and phosphoproteome analyses of cultured cells based on SILAC labeling without requirement of serum dialysis.
Koshi Imami, Naoyuki Sugiyama, Masaru Tomita and Yasushi Ishihama Mol. BioSyst.,
6(3):
594-602,
2010
Stabilizing synthetic data in the DNA of living organisms.
Yachie, N., Ohashi, Y., and Tomita, M Syst. Synth. Biol.,
2(1-2):
19-25,
2008 Jun
Large-scale phosphorylation mapping reveals the extent of tyrosine phosphorylation in Arabidopsis.
Sugiyama, N., Nakagami H., Mochida, K., Daudi, A., Tomita, M., Shirasu K., and Ishihama, Y Molecular Systems Biology,
4:
193,
2008
Phosphopeptide enrichment by aliphatic hydroxy acid-modified metal oxide chromatography for NanoLC-MS/MS in proteomics applications.
Sugiyama N., Masuda T., Shinoda K., Nakamura A., Tomita M., and Ishihama Y Mol. Cell. Proteomics,
6(6):
1103-1109,
2007
Alignment-based approach for durable data storage into living organisms.
Yachie N., Sekiyama K., Sugahara J., Ohashi Y., and Tomita M Biotechnol. Prog.,
23(2):
501-505,
2007
HybGFS: a hybrid method for genome-fingerprint scanning
Shinoda K., Yachie N., Masuda T., Sugiyama N., Sugimoto M., Soga T., and Tomita, M BMC Bioinformatics,
7:
479,
2006
Prediction of liquid chromatographic retention times of peptides generated by protease digestion of the Escherichia coli proteome using artificial neural networks.
Shinoda K., Sugimoto M., Yachie N., Sugiyama N., Masuda T., Robert M., Soga T., and Tomita M. J. Proteome Res.,
5(12):
3312-3317,
2006
総説
メタボロミクスの可能性―腸内細菌研究への応用―
大賀拓史, 松本光晴 ジャパンフードサイエンス,
52(1):
55-58,
2013
代謝物質の網羅的解析法:メタボローム解析の概要とその手法
藤森玉輝 Surgery Frontier,
19(1):
71-75,
2012
コホート研究と中間形質の解析–網羅的メタボローム解析
山本博之 Medical Science Digest,
2011年10月臨時増刊号:
34-37,
2011
Unveiling cellular biochemical reactions via metabolomics-driven approaches
Natsumi Saito, Yoshiaki Ohashi, Tomoyoshi Soga, Masaru Tomita Curr Opin Microbiol.,
13(2):
,
2010
見落とされた酵素活性をin vivo基質スクリーニングで発見 メタボロミクスを活用したヌクレオチド分解酵素の基質探索.
大賀拓史, 増井良治 化学と生物,
47(12):
,
2009
シグナル伝達プロテオームの最前線.
石濱 泰、杉山 直幸 Pharma VISION NEWS,
No.12:November:
,
2008
CE-MSによるメタボローム解析技術の産業応用.
大岸治行 月刊バイオインダストリー,
2008年3月号:
,
2008
-
【目次】
- はじめに
- メタボロームとは
- CE-MSによるメタボローム測定法の開発
- CE-TOFMSによるメタボローム測定法の開発
- メタボローム解析技術プラットフォームの開発
- メタボローム解析の疾患解析,創薬への応用
- メタボローム解析の発酵技術開発への応用
- おわりに
2.1 メタボローム測定法の現状
2.2 CE-MSによるメタボローム測定
3.1 陽イオン性代謝物質の測定法
3.2 陰イオン性代謝物質の測定法
6.1 生体サンプルのメタボローム解析
6.2 メタボローム解析技術の創薬研究への応用の可能性
7.1 枯草菌中の全イオン性代謝物質の測定法
7.2 ヒスチジン要求性大腸菌変異株の代謝解析
メタボロミクスを上手に利用する.
大橋由明 バイオサイエンスとインダストリー,
65(8):
1168-(1-2),
2007
メタボロミクスの医学への応用.
曽我朋義, 大橋由明, 冨田勝 最新医学,
62巻9月増刊号:
2040-2047,
2007
Metabolome Analysis by capillary electrophoresis – mass spectrometry.
M. Monton, Soga T J. Chromatogr. A.,
1168(1-2):
237-246,
2007
CE-MSによるメタボローム解析とバイオマーカーの探索.
曽我朋義 細胞工学,
25(12):
1381-1387,
2006
CE-MSによる微生物メタボロミクス.
大橋由明,曽我朋義 生物工学会誌,
84(6):
223-226,
2006
メタボローム解析とは?
諸橋峰雄 肥満と糖尿病,
4(4):
628-630,
2005
Metabolome analysis and metabolic simulation.
Ishii N., Soga T., Nishioka T., Tomita M Metabolomics,
1(1):
29-37,
2005