|Trans-omics: how to reconstruct biochemical networks across multiple ‘omic’layers|
K Yugi, H Kubota, A Hatano, S Kuroda
Trends in biotechnology 34 (4), 276-290, 2016
|Phosphorylation of the chromodomain changes the binding specificity of Cbx2 for methylated histone H3|
A Hatano, M Matsumoto, T Higashinakagawa, KI Nakayama
Biochemical and biophysical research communications 397 (1), 93-99, 2010
|Trans-omic analysis reveals selective responses to induced and basal insulin across signaling, transcriptional, and metabolic networks|
K Kawata, A Hatano, K Yugi, H Kubota, T Sano, M Fujii, Y Tomizawa, ...
IScience 7, 212-229, 2018
|Selective control of up-regulated and down-regulated genes by temporal patterns and doses of insulin|
T Sano, K Kawata, S Ohno, K Yugi, H Kakuda, H Kubota, S Uda, M Fujii, ...
Science Signaling 9 (455), ra112-ra112, 2016
|Cell cycle–dependent localization of the proteasome to chromatin|
Y Kito, M Matsumoto, A Hatano, T Takami, K Oshikawa, A Matsumoto, ...
Scientific reports 10 (1), 1-17, 2020
|Transomics analysis reveals allosteric and gene regulation axes for altered hepatic glucose-responsive metabolism in obesity|
T Kokaji, A Hatano, Y Ito, K Yugi, M Eto, K Morita, S Ohno, M Fujii, ...
Science Signaling 13 (660), eaaz1236, 2020
|Trans-omic analysis reveals ROS-dependent pentose phosphate pathway activation after high-frequency electrical stimulation in C2C12 myotubes|
D Hoshino, K Kawata, K Kunida, A Hatano, K Yugi, T Wada, M Fujii, ...
Iscience 23 (10), 101558, 2020
|Chemical acetylation of mitochondrial transcription factor A occurs on specific lysine residues and affects its ability to change global DNA topology|
Y Fang, M Akimoto, K Mayanagi, A Hatano, M Matsumoto, S Matsuda, ...
Mitochondrion 53, 99-108, 2020
|Phosphoproteomics analyses show subnetwork systems in T‐cell receptor signaling|
A Hatano, M Matsumoto, KI Nakayama
Genes to Cells 21 (10), 1095-1112, 2016
|Trans-omic analysis reveals obesity-associated dysregulation of inter-organ metabolic cycles between the liver and skeletal muscle|
R Egami, T Kokaji, A Hatano, K Yugi, M Eto, K Morita, S Ohno, M Fujii, ...
IScience 24 (3), 102217, 2021
|Reconstruction of global regulatory network from signaling to cellular functions using phosphoproteomic data|
K Kawata, K Yugi, A Hatano, T Kokaji, Y Tomizawa, M Fujii, S Uda, ...
Genes to Cells 24 (1), 82-93, 2019
|Multi-omics-based label-free metabolic flux inference reveals obesity-associated dysregulatory mechanisms in liver glucose metabolism|
S Uematsu, S Ohno, KY Tanaka, A Hatano, T Kokaji, Y Ito, H Kubota, ...
Iscience 25 (2), 103787, 2022
|oleed, a medaka Polycomb group gene, regulates ciliogenesis and left–right patterning|
D Arai, A Hatano, T Higashinakagawa
Genes to Cells 14 (12), 1359-1367, 2009
|A ubiquitin-like protein encoded by the “noncoding” RNA TINCR promotes keratinocyte proliferation and wound healing|
A Nita, A Matsumoto, R Tang, C Shiraishi, K Ichihara, D Saito, M Suyama, ...
PLoS genetics 17 (8), e1009686, 2021
|Meta-analysis of transcriptional regulatory networks for lipid metabolism in neural cells from schizophrenia patients based on an open-source intelligence approach|
L Okamoto, S Watanabe, S Deno, X Nie, J Maruyama, M Tomita, ...
Neuroscience Research 175, 82-97, 2022
|In vivo transomic analyses of glucose-responsive metabolism in skeletal muscle reveal core differences between the healthy and obese states|
T Kokaji, M Eto, A Hatano, K Yugi, K Morita, S Ohno, M Fujii, K Hironaka, ...
|Sample preparation for phosphopeptides enrichment using Fe3+-IMAC|
A Hatano, M Matsumoto
Journal of Proteome Data and Methods 2, 3, 2020
|Data-independent acquisition: a new approach for quantitativeproteomics|
A Hatano, K Yugi
日本プロテオーム学会大会要旨集 2019, 157-157, 2019
|Trans-omic analysis reveals allosteric and gene regulation-axes for altered glucose-responsive liver metabolism associated with obesity|
T Kokaji, A Hatano, Y Ito, K Yugi, M Eto, S Ohno, M Fujii, K Hironaka, ...
bioRxiv, 653758, 2019
|Trans-omic analysis reveals fed and fasting insulin signal across phosphoproteome, transcriptome, and metabolome|
K Kawata, K Yugi, A Hatano, M Fujii, Y Tomizawa, T Kokaji, T Sano, ...
bioRxiv, 187088, 2017