K. Sakata

发表

‘Omics’ techniques and their use to identify how soybean responds to flooding

S. Komatsu, K. Sakata, Y. Nanjo, 2015, Journal of Analytical Science and Technology.

System-wide analysis of the transcriptional network of human myelomonocytic leukemia cells predicts attractor structure and phorbol-ester-induced differentiation and dedifferentiation transitions

J. Kawai, Harukazu Suzuki, H. Ishii, 2015, Scientific Reports.

Proteomic Analysis of Phosphoproteins in the Rice Nucleus During the Early Stage of Seed Germination.

S. Komatsu, Ming Li, Pingfang Yang, 2015, Journal of proteome research.

The genome sequence and structure of rice chromosome 1

T. Gojobori, K. Waki, Mari Nakamura, 2002, Nature.

Integration of gel-based and gel-free proteomic data for functional analysis of proteins through Soybean Proteome Database.

S. Komatsu, Hajime Ohyanagi, K. Sakata, 2017, Journal of proteomics.

Gel-free quantitative proteomic approach to identify cotyledon proteins in soybean under flooding stress.

Katsumi Sakata, Setsuko Komatsu, Abu Hena Mostafa Kamal, 2015, Journal of proteomics.

Curated genome annotation of Oryza sativa ssp. japonica and comparative genome analysis with Arabidopsis thaliana.

Kanako O. Koyanagi, Aiko T. Hiraki, T. Tatusova, 2007, Genome research.

Insights into the proteomic response of soybean towards Al₂O₃, ZnO, and Ag nanoparticles stress.

S. Komatsu, K. Sakata, Z. Hossain, 2016, Journal of hazardous materials.

Embarking on rice functional genomics via cDNA microarray: use of 3' UTR probes for specific gene expression analysis.

T. Sasaki, J. Yazaki, Takuji Sasaki, 2000, DNA research : an international journal for rapid publication of reports on genes and genomes.

A Microarray Analysis of Rice Near-Isogenic Lines that Cover QTLs Associated with Callus Proliferation

F. Taguchi-Shiobara, J. Yazaki, Takuji Sasaki, 2006 .

Rice gene expression in response to N-acetylchitooligosaccharide elicitor: comprehensive analysis by DNA microarray with randomly selected ESTs

J. Yazaki, Takuji Sasaki, N. Kishimoto, 2003, Plant Molecular Biology.

Identification of several rice genes regulated by Si nutrition

T. Fujiwara, J. Yazaki, Takuji Sasaki, 2004 .

Microarray Analysis of Gene Expression in Rice Treated with Probenazole, a Resistance Inducer, in Special Reference to Blast Disease

J. Yazaki, Zenpei Shimatani, Takuji Sasaki, 2004 .

Large-Scale Identification of Elicitor-Responsive Genes in Suspension-Cultured Rice Cells by DNA Microarray

R. B. Day, J. Yazaki, Takuji Sasaki, 2002 .

Proteomic analysis of soybean root exposed to varying sizes of silver nanoparticles under flooding stress.

S. Komatsu, K. Sakata, Ghazala Mustafa, 2016, Journal of proteomics.

The International Rice Genome Sequencing Project: progress and prospects.

Gurdev S. Khush, B. Hardy, Tomoya Baba, 2001 .

Advances in Proteomics and Bioinformatics in Agriculture Research andCrop Improvement

K. Sakata, Keyura Katam, K. A. Jones, 2015 .

Quantitative proteomic analysis of post-flooding recovery in soybean root exposed to aluminum oxide nanoparticles.

S. Komatsu, K. Sakata, N. Raja, 2016, Journal of proteomics.

Phosphoproteomics reveals the effect of ethylene in soybean root under flooding stress.

S. Komatsu, K. Sakata, Xiaojian Yin, 2014, Journal of proteome research.

Proteomic analysis of soybean hypocotyl during recovery after flooding stress.

S. Komatsu, K. Sakata, Mudassar Nawaz Khan, 2015, Journal of proteomics.

Quantitative proteomics reveals that peroxidases play key roles in post-flooding recovery in soybean roots.

S. Komatsu, S. Hiraga, K. Sakata, 2014, Journal of proteome research.

Gel-free/label-free proteomic analysis of root tip of soybean over time under flooding and drought stresses.

S. Komatsu, K. Sakata, Xin Wang, 2016, Journal of proteomics.

Analysis of initial changes in the proteins of soybean root tip under flooding stress using gel-free and gel-based proteomic techniques.

S. Komatsu, K. Sakata, Y. Nanjo, 2014, Journal of proteomics.

An Integrated Approach of Proteomics and Computational Genetic Modification Effectiveness Analysis to Uncover the Mechanisms of Flood Tolerance in Soybeans

S. Komatsu, K. Sakata, Xin Wang, 2018, International journal of molecular sciences.

Proteomic study on the effects of silver nanoparticles on soybean under flooding stress.

S. Komatsu, K. Sakata, Z. Hossain, 2015, Journal of proteomics.

Loss of variation of state detected in soybean metabolic and human myelomonocytic leukaemia cell transcriptional networks under external stimuli

Harukazu Suzuki, S. Komatsu, Hajime Ohyanagi, 2016, Scientific Reports.

Bioinformatics and the rice genome.

Takuji Sasaki, B. Antonio, D. Brar, 2001 .

Rice at the forefront of plant genome informatics.

T. Sasaki, B. Antonio, K. Sakata, 2000, Genome informatics. Workshop on Genome Informatics.

Quantitative proteomics reveals the role of protein phosphorylation in rice embryos during early stages of germination.

S. Komatsu, Pingfang Yang, K. Sakata, 2014, Journal of proteome research.

genome annotation of Oryza sativa ssp . japonica and comparative genome analysis with Arabidopsis thaliana The Rice Annotation Project

Kanako O. Koyanagi, Aiko T. Hiraki, T. Tatusova, 2007 .

Current Status of Rice Annotation Database (RAD)

Takuji Sasaki, B. Antonio, N. Namiki, 2003 .

An Integrated Computational Approach for Plant-Based Protein Tyrosine Phosphatase Non-Receptor Type 1 Inhibitors

K. Sakata, S. Bibi, 2017, Current computer-aided drug design.

Identification and characterisation of differentially expressed leaf proteins among Vitis species

L. Latinwo, K. Sakata, Ramesh Katam, 2012 .

Microarray Analysis of Sink-Source Transition in Rice Leaf Sheaths

J. Yazaki, Takuji Sasaki, N. Kishimoto, 2005 .

'Omics' techniques for identifying flooding-response mechanisms in soybean.

S. Komatsu, K. Sakata, Naoki Shirasaka, 2013, Journal of proteomics.

Soybean Proteome Database 2012: update on the comprehensive data repository for soybean proteomics

S. Komatsu, Hajime Ohyanagi, K. Sakata, 2012, Front. Plant Sci..

Soybean proteome database: a data resource for plant differential omics.

S. Komatsu, A. Hashiguchi, Hajime Ohyanagi, 2009, Journal of proteome research.

Proteomic analysis of canola root inoculated with bacteria under salt stress.

F. Banaei-Asl, Davoud Farajzadeh, A. Bandehagh, 2015, Journal of proteomics.

Segmental distribution of genes harboring a CpG island-like region on rice chromosomes

I. Ashikawa, H. Numa, K. Sakata, 2005, Molecular Genetics and Genomics.

Rice genomics: current status of genome sequencing.

M. Yano, T. Sasaki, T. Baba, 2001, Novartis Foundation symposium.

Genomics approach to abscisic acid- and gibberellin-responsive genes in rice.

J. Kawai, Piero Carninci, Y. Hayashizaki, 2003, DNA research : an international journal for rapid publication of reports on genes and genomes.

A Bioinformatics Resource for Crop Functional Genomics: GFSelector Module in Automated Annotation System, RiceGAAS:GFSelector Module in Automated Annotation System, RiceGAAS

Takashi Matsumoto, Yoshiaki Nagamura, Hisataka Numa, 2009 .

Transcriptomic analysis of metabolic changes by phosphorus stress in rice plant roots

J. Yazaki, N. Kishimoto, S. Kikuchi, 2003 .

cDNA microarray analysis of gene expression during Fe-deficiency stress in barley suggests that polar transport of vesicles is implicated in phytosiderophore secretion in Fe-deficient barley roots.

Shoshi Kikuchi, Katsumi Sakata, Hiromi Nakanishi, 2002, The Plant journal : for cell and molecular biology.

RiceGAAS: an automated annotation system and database for rice genome sequence

Takashi Matsumoto, Kenichi Higo, Yoshiaki Nagamura, 2002, Nucleic Acids Res..

A comprehensive analysis of the soybean genes and proteins expressed under flooding stress using transcriptome and proteome techniques.

S. Komatsu, K. Sakata, Y. Nanjo, 2009, Journal of proteome research.

Proteomics, physiological, and biochemical analysis of cross tolerance mechanisms in response to heat and water stresses in soybean

K. R. Reddy, P. Suravajhala, K. Sakata, 2020, PloS one.

The Rice Annotation Project Database (RAP-DB): 2008 update

Yoshihiro Kawahara, Yasuyuki Fujii, Rolf Apweiler, 2007, Nucleic Acids Res..

An information-theoretic model suggesting genetic regulatory system degradation under climate change

S. Komatsu, Hajime Ohyanagi, K. Sakata, 2021 .

Comparative leaf proteomics of drought-tolerant and -susceptible peanut in response to water stress.

P. Suravajhala, K. Sakata, B. Guo, 2016, Journal of proteomics.

Rice Annotation Database (RAD): a contig-oriented database for map-based rice genomics

Takashi Matsumoto, Yuichi Ito, Kenichi Higo, 2004, Nucleic Acids Res..

Proteome analysis of early-stage soybean seedlings under flooding stress.

S. Komatsu, A. Hashiguchi, K. Sakata, 2009, Journal of proteome research.

Proteomic analysis of flooded soybean root exposed to aluminum oxide nanoparticles.

Katsumi Sakata, Setsuko Komatsu, S. Komatsu, 2015, Journal of proteomics.

cDNA microarray analysis of gene expression in rice plants treated with probenazole, a chemical inducer of disease resistance

J. Yazaki, Takuji Sasaki, N. Kishimoto, 2003, Journal of General Plant Pathology.

Current Status of Computer-Aided Drug Design for Type 2 Diabetes

Katsumi Sakata, K. Sakata, Shabana Bibi, 2016, Current computer-aided drug design.

Upregulation of the genes for ferritin, RNase, and DnaJ in leaves of rice plants in response to sulfur deficiency

T. Fujiwara, J. Yazaki, Takuji Sasaki, 2004 .

LEAD IDENTIFICATION AND OPTIMIZATION OF PLANT INSULIN-BASED ANTIDIABETES DRUGS THROUGH MOLECULAR DOCKING ANALYSES

K. Sakata, H. Rashid, Saima Kalsoom, 2015 .

INE: a rice genome database with an integrated map view

Takuji Sasaki, Yasumichi Sakai, Katsumi Sakata, 2000, Nucleic Acids Res..

Plant proteomics: from genome sequencing to proteome databases and repositories.

Katsumi Sakata, Setsuko Komatsu, S. Komatsu, 2014, Methods in molecular biology.

INE: The Rice Genome Sequence Database

Takuji Sasaki, Katsumi Sakata, Hideki Nagasaki, 1999 .

Proteomic study on the effects of silver nanoparticles on soybean under flooding stress.

S. Komatsu, K. Sakata, Z. Hossain, 2015, Journal of Proteomics.

Mining Knowledge from Omics Data

Katsumi Sakata, Takuji Nakamura, Setsuko Komatsu, 2014 .

Novel Gene Encoding a Ca2+-Binding Protein and under Hexokinase-dependent Sugar Regulation

J. Yazaki, Takuji Sasaki, N. Kishimoto, 2003, Bioscience, biotechnology, and biochemistry.

Proteomics & Bioinformatics

K. Sakata, Keyura Katam, K. A. Jones, 2022 .