Kyoto University · Biochemistry, Genetics and Molecular Biology
이 교수의 연구실은 대량 유전자 발현 분석을 넘어 단백질의 정량적 분석과 인산화 단백질체 분석에 중점을 두고 있습니다. 특히, LC-MS/MS 기반의 절대 단백질 농도 측정법(emPAI)과 인산화 단백질의 정량적 분석을 위한 혁신적인 샘플 준비 및 분리 기법을 개발하여, 복잡한 생물학적 샘플에서의 단백질 및 인산화 단백질의 정밀한 분석을 가능하게 했습니다. 또한, 박테리아 및 세포 내막 단백질의 효율적 분석을 위한 비편향적 샘플 준비 방법과 고감도 분석을 위한 다차원 분리 기술도 개발하여, 단백질체 분석의 정밀도와 신뢰성을 높이고 있습니다.
Figures are computed from collected data and may differ slightly.
To estimate absolute protein contents in complex mixtures, we previously defined a protein abundance index (PAI) as the number of observed peptides divided by the number of observable peptides per protein (Rappsilber, J., Ryder, U., Lamond, A. I., and Mann, M. (2002) Large-scale proteomic analysis of the human spliceosome. Genome. Res. 12, 1231-1245). Here we report that PAI values obtained at different concentrations of serum albumin show a linear relationship with the logarithm of protein conc
Abundance measurements for more than 1000 E. coli proteins presented in this work represent the most complete study of protein abundance in a bacterial cell so far. We show significant associations between the abundance of a protein and its properties and functions in the cell. In this way, we provide both data and novel insights into the role of protein concentration in this model organism.
We developed novel methods for phosphopeptide enrichment using aliphatic hydroxy acid-modified metal oxide chromatography (MOC). Titania and zirconia were successfully applied to enrich phosphopeptides with the aid of aliphatic hydroxy acids, such as lactic acid and beta-hydroxypropanoic acid, to reduce the interaction between acidic non-phosphopeptides and the metal oxides. These methods removed the vast majority of non-phosphopeptides from phosphoprotein standard digests, and large numbers of
Proteome complexity necessitates protein or peptide separation prior to analysis. We previously described a pipet-tip based peptide micropurification system named StageTips (STop and Go Extraction Tips), which consists of a very small disk of membrane-embedded separation material. Here, we extend this approach in several dimensions by stacking disks containing reversed phase (C(18)) and strong cation exchange (SCX) materials. Multidimensional fractionation as well as desalting, filtration, and c
Our ability to model the dynamics of signal transduction networks will depend on accurate methods to quantify levels of protein phosphorylation on a global scale. Here we describe a motif-targeting quantitation method for phosphorylation stoichiometry typing. Proteome-wide phosphorylation stoichiometry can be obtained by a simple phosphoproteomic workflow integrating dephosphorylation and isotope tagging with enzymatic kinase reaction. Proof-of-concept experiments using CK2-, MAPK- and EGFR-targ
We developed a sample preparation protocol for rapid and unbiased analysis of the membrane proteome using an alimentary canal-mimicking system in which proteases are activated in the presence of bile salts. In this rapid and unbiased protocol, immobilized trypsin is used in the presence of deoxycholate and lauroylsarcosine to increase digestion efficiency as well as to increase the solubility of the membrane proteins. Using 22.5 microg of Escherichia coli whole cell lysate, we quantitatively dem
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTEvaluation of Solute Hydrophobicity by Microemulsion Electrokinetic ChromatographyYasushi. Ishihama, Yoshiya. Oda, Kiyohiko. Uchikawa, and Naoki. AsakawaCite this: Anal. Chem. 1995, 67, 9, 1588–1595Publication Date (Print):May 1, 1995Publication History Published online1 May 2002Published inissue 1 May 1995https://pubs.acs.org/doi/10.1021/ac00105a018https://doi.org/10.1021/ac00105a018research-articleACS PublicationsRequest reuse permissionsArticle View
Rapid progress is being made in mass spectrometry (MS)-based proteomics, yielding an increasing number of larger datasets with higher quality and higher throughput. To integrate proteomics datasets generated from various projects and institutions, we launched a project named jPOST (Japan ProteOme STandard Repository/Database, https://jpostdb.org/) in 2015. Its proteomics data repository, jPOSTrepo, began operations in 2016 and has accepted more than 10 TB of MS-based proteomics datasets in the p
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