2021/11/05 更新

写真a

ヒラオ ヨシトシ
平尾 嘉利
HIRAO Yoshitoshi
所属
医歯学総合研究科 特任准教授
職名
特任准教授
外部リンク

学位

  • 博士(農学) ( 2009年3月   東京大学 )

研究キーワード

  • ペプチドミクス

  • プロテオミクス

  • 質量分析装置

  • バイオマーカー

研究分野

  • ライフサイエンス / 医療管理学、医療系社会学

  • ライフサイエンス / 医用システム

  • ライフサイエンス / 腎臓内科学

経歴

  • 新潟大学   医歯学総合研究科   特任准教授

    2018年4月 - 2021年10月

  • 新潟大学   地域創生推進機構   特任助教

    2016年4月 - 2017年3月

  • 新潟大学   産学地域連携推進機構   特任助教

    2014年10月 - 2016年3月

所属学協会

 

論文

  • Urinary Apolipoprotein C3 Is a Potential Biomarker for Alzheimer’s Disease 査読

    Dement Geriatr Cogn Dis Extra.   2020年9月

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    担当区分:筆頭著者  

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  • 非標識プロテオミクスによる尿を用いたアルツハイマー病バイオマーカーの可能性

    渡邊 裕美, 平尾 嘉利, 春日 健作, 徳武 孝允, 北村 香織, 池内 健, 山本 格, 中村 和利

    日本衛生学雑誌   74 ( Suppl. )   S147 - S147   2019年2月

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    記述言語:日本語   出版者・発行元:(一社)日本衛生学会  

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  • Molecular network analysis of the urinary proteome of Alzheimer’s disease patients 査読

    Yumi Watanabe, Yoshitoshi Hirao, Kensaku Kasuga, Takayoshi Tokutake, Yuka Semizu, Kaori Kitamura, Takeshi Ikeuchi, Kazutoshi Nakamura, Tadashi Yamamoto

    Dementia and Geriatric Cognitive Disorders Extra   9   53 - 65   2019年

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  • Proteomics Analysis of Urine to Examine Physical Effects of Warm Nano Mist Sauna Bathing 査読

    Yoshitoshi Hirao, Naohiko Kinoshita, Bo Xu, Suguru Saito, Ali F. Quadery, Amr Elguoshy, Keiko Yamamoto, Tadashi Yamamoto

    Healthcare 2019, 7, 71   2019年

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  • The optimized workflow for sample preparation in LC-MS/MS based urine proteomics 査読

    Suguru Saito, Yoshitoshi Hirao, Ali F. Quadery, Bo Xu, Amr Elguoshy, Hidehiko Fujinaka, Shohei Koma, Keiko Yamamoto, Tadashi Yamamoto

    Methods and Protocols, 2019, 2, 46   2019年

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  • Utilization of the proteome data deposited in SRMAtlas for validating the existence of the human missing proteins in GPM 査読

    Amr Elguoshy, Yoshitoshi Hirao, Keiko Yamamoto, Bo Xu, Naohiko Kinoshita, Toshiaki Mitusi, Tadashi Yamamoto

    J. Proteome Res. 2019, 18, 4197-4205   2019年

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  • Proteome Profiling of Diabetic Mellitus Patient Urine for Discovery of Biomarkers by Comprehensive MS-Based Proteomics 査読

    Yoshitoshi Hirao, Suguru Saito, Hidehiko Fujinaka, Shigeru Miyazaki, Bo Xu, Ali F. Quadery, Amr Elguoshy, Keiko Yamamoto, Tadashi Yamamoto

    Proteomes, 6, 9   2018年

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  • Proteomic analysis of rice golgi membranes isolated by floating through discontinuous sucrose density gradient 査読

    Kazusato Oikawa, Takuya Inomata, Yoshitoshi Hirao, Tadashi Yamamoto, Marouane Baslam, Kentaro Kaneko, Toshiaki Mitsui

    Methods in Molecular Biology   1696   91 - 105   2018年

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    記述言語:英語   掲載種別:論文集(書籍)内論文   出版者・発行元:Humana Press Inc.  

    The Golgi apparatus is an endomembrane system organelle and has roles in glycosylation, sorting, and secretion of proteins in the secretory pathway. It has a central function in living organism and is also essential for plant growth. Proteomic approaches to identify the Golgi membrane proteins have been performed in cell suspension cultures and many Golgi membrane-associated proteins were found, whereas it has well established in rice seedling yet. In this chapter, our recent improving published methods for isolated rice Golgi membranes by floating through a discontinuous sucrose density gradient are provided in detail with proteomic analyses.

    DOI: 10.1007/978-1-4939-7411-5_6

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  • Identification and Validation of Human Missing Proteins and Peptides in Public Proteome Databases: Data Mining Strategy 査読

    Amr Elguoshy, Yoshitoshi Hirao, Bo Xu, Suguru Saito, Ali F. Quadery, Keiko Yamamoto, Toshiaki Mitsui, Tadashi Yamamoto

    JOURNAL OF PROTEOME RESEARCH   16 ( 12 )   4403 - 4414   2017年12月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:AMER CHEMICAL SOC  

    In an attempt to complete human proteome project (HPP), Chromosome-Centric Human Proteome Project (C-HPP) launched the journey of missing protein (MP) investigation in 2012. However, 2579 and 572 protein entries in the neXtProt (2017-1) are still considered as missing and uncertain proteins, respectively. Thus, in this study, we proposed a pipeline to analyze, identify, and validate human missing and uncertain proteins in open-access transcriptomics and proteomics databases. Analysis of RNA expression pattern for missing proteins in Human protein Atlas showed that 28% of them, such as Olfactory receptor 1I1 (060431), had no RNA expression, suggesting the necessity to consider uncommon tissues for transcriptomic and proteomic studies. Interestingly, 21% had elevated expression level in a particular tissue (tissue-enriched proteins), indicating the importance of targeting such proteins in their elevated tissues. Additionally, the analysis of RNA expression level for missing proteins showed that 95% had no or low expression level (0-10 transcripts per million), indicating that low abundance is one of the major obstacles facing the detection of missing proteins. Moreover, missing proteins are predicted to generate fewer predicted unique tryptic peptides than the identified proteins. Searching for these predicted unique tryptic peptides that correspond to missing and uncertain proteins in the experimental peptide list of open-access MS-based databases (PA, GPM) resulted in the detection of 402 missing and 19 uncertain proteins with at least two unique peptides (>= 9 aa) at <(5 X 10(-4))% FDR Finally, matching the native spectra for the experimentally detected peptides with their SRMAtlas synthetic counterparts at three transition sources (QQQ, QTOF, QTRAP) gave us an opportunity to validate 41 missing proteins by >= 2 proteotypic peptides.

    DOI: 10.1021/acs.jproteome.7b00423

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  • Glycobiomarker, Fucosylated Short-Form Secretogranin III Levels Are Increased in Serum of Patients with Small Cell Lung Carcinoma 査読

    Akira Togayachi, Jun Iwaki, Hiroyuki Kaji, Hideki Matsuzaki, Atsushi Kuno, Yoshitoshi Hirao, Masaharu Nornura, Masayuki Noguchi, Yuzuru Ikehara, Hisashi Narimatsu

    JOURNAL OF PROTEOME RESEARCH   16 ( 12 )   4495 - 4505   2017年12月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:AMER CHEMICAL SOC  

    Secretogranin III (SgIII) is a member of the chromogranin/ secretogranin family of neuroendocrine secretory proteins. Granins are expressed in endocrine and neuroendocrine cells and subsequently processed into bioactive hormones. Although granin-derived peptide expression is correlated with neuroendocrine carcinomas, little is known about SgIII. We previously identified SgIII by a comparative glycoproteomics approach for elucidation of glycobiomarker candidates in lung carcinoma. Here, we examined the expression, secretion, and glycosylation of SgIII to identify novel biomarkers of small cell lung carcinoma (SCLC). In comparative immunohisto chemical analysis and secretion profiling, SgIII was observed in all types of lung cancer. However, low-molecular-weight SgIII (short-form SgIII) was specifically found in SCLC culture medium. Glycoproteomics analysis showed that a fucosylated glycan was attached to the first of three potential N-glycosylation sites and an unfucosylated glycan was detected on the second site; however, the third site was not glycosylated. Next, we performed lectin capture with a fucose-binding lectin and detected short-form SgIII specifically in the sera of patients with SCLC. The results suggested an association between the fucosylated glycoform of short-form SgIII and SCLC. Thus, fucosylated short-form SgIII may be a valuable biomarker for SCLC and could be used to monitor development of the disease. All MS data are available via ProteomeXchange and jPOST with identifiers PXD007626 and JPST000313, respectively.

    DOI: 10.1021/acs.jproteome.7b00484

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  • Glycobiomarker, Fucosylated Short-Form Secretogranin III Levels Are Increased in Serum of Patients with Small Cell Lung Carcinoma 査読

    Togayachi, Akira, Iwaki, Jun, Kaji, Hiroyuki, Matsuzaki, Hideki, Kuno, Atsushi, Hirao, Yoshitoshi, Nomura, Masaharu, Noguchi, Masayuki, Ikehara, Yuzuru, Narimatsu, Hisashi

    Journal of proteome research   16 ( 12 )   4495 - 4505   2017年10月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:AMER CHEMICAL SOC  

    Secretogranin III (SgIII) is a member of the chromogranin/secretogranin family of neuroendocrine secretory proteins. Granins are expressed in endocrine and neuroendocrine cells and subsequently processed into bioactive hormones. Although granin-derived peptide expression is correlated with neuroendocrine carcinomas, little is known about SgIII. We previously identified SgIII by a comparative glycoproteomics approach for elucidation of glycobiomarker candidates in lung carcinoma. Here, we examined the expression, secretion, and glycosylation of SgIII to identify novel biomarkers of small cell lung carcinoma (SCLC). In comparative immunohistochemical analysis and secretion profiling, SgIII was observed in all types of lung cancer. However, low-molecular-weight SgIII (short-form SgIII) was specifically found in SCLC culture medium. Glycoproteomics analysis showed that a fucosylated glycan was attached to the first of three potential N-glycosylation sites and an unfucosylated glycan was detected on the second site; however, the third site was not glycosylated. Next, we performed lectin capture with a fucose-binding lectin and detected short-form SgIII specifically in the sera of patien

    DOI: 10.1021/acs.jproteome.7b00484

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  • Proteomics of glomeruli with IgA nephropathy reveals the concomitant abnormalities of cytoskeleton in the podocytes 査読

    Hiroki Yamaguchi, Shin Goto, Yoshitoshi Hirao, Bo Xu, Keiko Yamamoto, Tadashi Yamamoto, Ichiei Narita

    American Society of Nephrology, SA-PO115, P708   2017年

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  • Urine Liquid Biopsy of the Kidney 査読

    Tadashi Yamamoto, Keiko Yamamoto, Yoshitoshi Hirao, Bo Xu, Shigeru Miyazaki

    American Society of Nephrology, PUB178, P1011   2017年

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  • Quantitative Urine Proteomics by SWATH-MS Reflects Intricate Metaboric Processing in Cirrhosis Patients 査読

    Bo Xu, Yoshitoshi Hirao, Keiko Yamamoto, Ichiei Narita, Tadashi Yamamoto

    American Society of Nephrology, TH-PO1139, P397   2017年

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  • Why are they missing? : Bioinformatics characterization of missing human proteins 査読

    Amr Elguoshy, Sameh Magdeldin, Bo Xu, Yoshitoshi Hirao, Ying Zhang, Naohiko Kinoshita, Yusuke Takisawa, Masaaki Nameta, Keiko Yamamoto, Ali El-Refy, Fawzy El-Fiky, Tadashi Yamamoto

    JOURNAL OF PROTEOMICS   149   7 - 14   2016年10月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:ELSEVIER SCIENCE BV  

    NeXtProt is a web-based protein knowledge platform that supports research on human proteins. NeXtProt (release 2015-04-28) lists 20,060 proteins, among them, 3373 canonical proteins (16.8%) lack credible experimental evidence at protein level (PE2:PE5). Therefore, they are considered as "missing proteins". A comprehensive bio-informatic workflow has been proposed to analyze these "missing" proteins. The aims of current study were to analyze physicochemical properties, existence and distribution of the tryptic cleavage sites, and to pinpoint the signature peptides of the missing proteins. Our findings showed that 23.7% of missing proteins were hydrophobic proteins possessing transmembrane domains (TMD). Also, forty missing entries generate tryptic peptides were either out of mass detection range (>30 aa) or mapped to different proteins (<9 aa). Additionally, 21% of missing entries didn't generate any unique tryptic peptides. In silico endopeptidase combination strategy increased the possibility of missing proteins identification. Coherently, using both mature protein database and signal peptidome database could be a promising option to identify some missing proteins by targeting their unique N-terminal tryptic peptide from mature protein database and or C-terminus tryptic peptide from signal peptidome database. In conclusion, Identification of missing protein requires additional consideration during sample preparation, extraction, digestion and data analysis to increase its incidence of identification. (C) 2016 Published by Elsevier B.V.

    DOI: 10.1016/j.jprot.2016.08.005

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  • Comprehensive data analysis of human ureter proteome 査読

    Sameh Magdeldin, Yoshitoshi Hirao, Amr El Guoshy, Bo Xu, Ying Zhang, Hidehiko Fujinaka, Keiko Yamamoto, John R. Yates, Tadashi Yamamoto

    Data in Brief   6   853 - 857   2016年3月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Elsevier Inc.  

    Comprehensive human ureter proteome dataset was generated from OFFGel fractionated ureter samples. Our result showed that among 2217 non-redundant ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to ureter tissue. In conclusion, this finding offers future perspectives for possible identification of ureter disease-associated biomarkers such as ureter carcinoma. In addition, Cytoscape GO annotation was examined on the final ureter dataset to better understand proteins molecular function, biological processes, and cellular component. The ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery.

    DOI: 10.1016/j.dib.2016.01.050

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  • A proteomic glimpse into human ureter proteome 査読

    Sameh Magdeldin, Yoshitoshi Hirao, Amr Elguoshy, Bo Xu, Ying Zhang, Hidehiko Fujinaka, Keiko Yamamoto, John R. Yates, Tadashi Yamamoto

    PROTEOMICS   16 ( 1 )   80 - 84   2016年1月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:WILEY-BLACKWELL  

    Urine has evolved as one of the most important biofluids in clinical proteomics due to its noninvasive sampling and its stability. Yet, it is used in clinical diagnostics of several disorders by detecting changes in its components including urinary protein/polypeptide profile. Despite the fact that majority of proteins detected in urine are primarily originated from the urogenital (UG) tract, determining its precise source within the UG tract remains elusive. In this article, we performed a comprehensive analysis of ureter proteome to assemble the first unbiased ureter dataset. Next, we compared these data to urine, urinary exosome, and kidney mass spectrometric datasets. Our result concluded that among 2217 nonredundant ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to ureter tissue. In conclusion, this finding offers future perspectives for possible identification of ureter disease-associated biomarkers such as ureter carcinoma. In addition, the ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery. All MS data have been deposited in the ProteomeXchange with identifier PXD002620 ().

    DOI: 10.1002/pmic.201500214

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  • Complementary Protein and Peptide OFFGEL Fractionation for High-Throughput Proteomic Analysis 査読

    Sameh Magdedin, Amr Elguoshy, Yutaka Yoshida, Yoshitoshi Hirao, Bo Xu, Ying Zhang, Keiko Yamamoto, Hiroki Takimoto, Hidehiko Fujinaka, Naohiko Kinoshita, Tadashi Yamamoto

    ANALYTICAL CHEMISTRY   87 ( 16 )   8481 - 8488   2015年8月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:AMER CHEMICAL SOC  

    OFFGEL fractionation of mouse kidney protein lysate and its tryptic peptide digest has been examined in this study for better understanding the differences between protein and peptide fractionation methods and attaining maximum recruitment of this modern methodology for in-depth proteomic analysis. With the same initial protein/peptide load for both fractionation methods, protein OFFGEL fractionation showed a preponderance in terms of protein identification, fractionation efficiency, and focusing resolution, while peptide OFF GEL was better in recovery, number of peptide matches, and protein coverage. This result suggests that the protein fractionation method is more suitable for shotgun analysis while peptide fractionation suits well quantitative peptide analysis [isobaric tags for relative and absolute quantitation (iTRAQ) or tandem mass tags (TMT)]. Taken together, utilization of the advantages of both fractionation approaches could be attained by coupling both methods to be applied on complex biological tissue. A typical result is shown in this article by identification of 8262 confident proteins of whole mouse kidney under stringent condition. We therefore fractionation as an effective and efficient addition to both label-free and quantitative label proteomics workflow.

    DOI: 10.1021/acs.analchem.5b01911

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  • Glycoproteomics Approach for Identifying Glycobiomarker Candidate Molecules for Tissue Type Classification of Non-small Cell Lung Carcinoma 査読

    Yoshitoshi Hirao, Hideki Matsuzaki, Jun Iwaki, Atsushi Kuno, Hiroyuki Kaji, Takashi Ohkura, Akira Togayachi, Minako Abe, Masaharu Nomura, Masayuki Noguchi, Yuzuru Ikehara, Hisashi Narimatsu

    JOURNAL OF PROTEOME RESEARCH   13 ( 11 )   4705 - 4716   2014年11月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:AMER CHEMICAL SOC  

    Histopathological classification of lung cancer has important implications in the application of clinical practice guidelines and the prediction of patient prognosis. Thus, we focused on discovering glycobiomarker candidates to classify the types of lung cancer tissue. First, we performed lectin microarray analysis of lung cancer tissue specimens and cell lines and identified Aleuria aurantia lectin (AAL), Hippeastrum hybrid lectin (HHL), and Concanavalia ensiformis agglutinin (ConA) as lectin probes specific to non-small cell lung carcinoma (NSCLC). LC-MS-based analysis was performed for the comprehensive identification of glycoproteins and N-linked glycosylation sites using lectin affinity capture of NSCLC-specific glycoforms of glycoproteins. This analysis identified 1092 AAL-bound glycoproteins (316 gene symbols) and 948 HHL/ConA-bound glycoproteins (279 gene symbols). The lectin microarray-assisted verification using 15 lung cancer cell lines revealed the NSCLC-specific expression of fibronectin. The glycosylation profiling of fibronectin indicated that the peanut agglutinin (PNA) signal appeared to differentiate two NSCLC types, adenocarcinoma and large cell carcinoma, whereas the protein expression level was similar between these types. Our glycoproteomics approach together with the concurrent use of an antibody and lectin is applicable to the quantitative and qualitative monitoring of variations in glycosylation of fibronectin specific to certain types of lung cancer tissue.

    DOI: 10.1021/pr5006668

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  • Identification of Core Proteins Carrying the Sialyl Lewis a Epitope in Pancreatic Cancers 査読

    Yoshitoshi Hirao, Satoshi Ogasawara, Akira Togayachi, Yu-ki Matsuno, Makoto Ocho, Keishi Yamashita, Masahiko Watanabe, Shoji Nakamori, Yuzuru Ikehara, Hisashi Narimatsu

    J. Mol. Biomark. Diagn. 3:3   2012年

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  • Glycoproteomics approach for the discovery of the lung cancer biomarker 査読

    Yoshitoshi Hirao, Satoshi Ogasawara, Akira Togayachi, Makoto Ocho, Hiromichi Sawaki, Yu-ki Matsuno, Shoji Nakamori, Yuzuru Ikehara, Hisashi Narimatsu

    Japan Society for Molecular Tumor Marker Research, Vol. 27, 31-32   2011年

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  • Discovery of glyco-biomarker candidates toward lung cancer using advanced glyco-technologies 査読

    Hideki Matsuzaki, Jun Iwaki, Yoshitoshi Hirao, Minako Abe, Akira Togayachi, Atsushi Kuno, Takashi Ohkura, Hiroyuki Kaji, Masaharu Nomura, Masayuki Noguchi, Yuzuru Ikehara, Hisashi Narimatsu

    Japan Society for Molecular Tumor Marker Research, Vol. 26, 76-77   2010年

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  • Identification of core proteins carrying the CA19-9 epitope in pancreatic cancer 査読

    Yoshitoshi Hirao, Satoshi Ogasawara, Akira Togayachi, Makoto Ocho, Hiromichi Sawaki, Yu-ki Matsuno, Shoji Nakamori, Yuzuru Ikehara, Hisashi Narimatsu

    Japan Society for Molecular Tumor Marker Research, Vol. 26, 86-87   2010年

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  • New SINE families from rice, OsSN, with poly(A) at the 3’ ends 査読

    Suguru Tsuchimoto, Yoshitoshi Hirao, Eiichi Ohtsubo, Hisako Ohtsubo

    Genes. Genet. Syst. 83(3), 227-236   83 ( 3 )   227 - 236   2008年6月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.1266/ggs.83.227

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  • A novel human hair protein fiber prepared by watery hybridization spinning 査読

    Y Hirao, K Ohkawa, H Yamamoto, T Fujii

    MACROMOLECULAR MATERIALS AND ENGINEERING   290 ( 3 )   165 - 171   2005年3月

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    記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:WILEY-V C H VERLAG GMBH  

    A novel human hair protein hybrid fiber was developed by combining (i) the high-efficiency extraction technique for preparing human hair proteins and (ii) the watery hybridization spinning method using gellan and chitosan. The resulting human hair protein-gellan-chitosan hybrid fibers are conveniently produced by simply mixing the 7-35 wt.-% human hair protein-1.0 wt.-% gellan aqueous solution and the 1.0 wt.-% chitosan-0.15 m acetic acid solution at 50 degrees C, followed by pulling out to spin the human hair protein-gellan-chitosan ternary complex thus formed at the aqueous solution interface. By use of this simple procedure and ambient spinning condition, the human hair proteins were successfully incorporated into the fiber matrix of gellan-chitosan, without any denaturation and degradation. The hybrid fiber can also be recognized as a new type of the regenerated human hair keratin fiber, because of its high purity and content of human hair keratin types I and II. Mechanical strength of the human hair protein-gellan-chitosan fiber varies from 108 to 153 MPa, depending on the contents of the human hair proteins. SEM observation revealed that the incorporated human hair proteins were found as the particles (1-10 mu m) on the fiber surface. The type I and II keratins in the fiber matrices were rapidly biodegraded by chymotrypsin within 30 min, and the digested fragments slowly released from the fiber matrices. Thus, the human hair hybrid fiber is a very promising material to have a broad spectrum of applications as the engineering fibers, particularly for the medical uses, because the human hair proteins are easily available, biocompatible, and bioresorbable materials.

    DOI: 10.1002/mame.200400312

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▶ 全件表示

MISC

  • グライコプロテオミクス技術に基づく小細胞肺がん糖鎖バイオマーカー候補分子の探索と解析

    栂谷内 晶, 岩城 隼, 梶 裕之, 松崎 英樹, 久野 敦, 平尾 嘉利, 野村 将春, 野口 雅之, 池原 譲, 成松 久

    生命科学系学会合同年次大会   2017年度   [2P - 0025]   2017年12月

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    記述言語:日本語   出版者・発行元:生命科学系学会合同年次大会運営事務局  

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  • 尿プロテオミクスによるアルツハイマー病バイオマーカー探索

    渡邊 裕美, 平尾 嘉利, 春日 健作, 徳武 孝允, 池内 健, 中村 和利, 山本 格

    Dementia Japan   31 ( 4 )   611 - 611   2017年10月

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    記述言語:日本語   出版者・発行元:(一社)日本認知症学会  

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  • 糖鎖バイオマーカー開発戦略に基づく小細胞肺がん糖鎖バイオマーカー候補分子の探索と解析

    栂谷内 晶, 岩城 隼, 松崎 英樹, 梶 裕之, 久野 敦, 平尾 嘉利, 安部 美奈子, 大倉 隆司, 平林 淳, 野村 将春, 野口 雅之, 池原 譲, 成松 久

    日本生化学会大会・日本分子生物学会年会合同大会講演要旨集   88回・38回   [3P0262] - [3P0262]   2015年12月

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    記述言語:日本語   出版者・発行元:(公社)日本生化学会  

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  • 糖鎖バイオマーカー探索戦略による肺小細胞癌特異的に糖鎖修飾されたマーカー候補分子の解析

    栂谷内晶, 岩城隼, 松崎英樹, 梶裕之, 久野敦, 平尾嘉利, 安部美奈子, 大倉隆司, 平林淳, 野村将春, 野口雅之, 池原譲, 成松久

    日本糖質学会年会要旨集   34th   208   2015年7月

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    記述言語:日本語  

    J-GLOBAL

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  • グライコプロテオミクス技術を基盤とした肺癌マーカー探索(Discovering the glyco-biomarker for the lung cancer using glycoproteomics technologies)

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