研究成果/Publications
2021
1. S. Kozawa, K. Urayama, K. Tejima, H. Doi, H. Yokoyama, Y. Ueno, T. N. Sato (2021) Application of augmented topic model to predicting biomarkers and therapeutic targets using multiple human disease-omics datasets. bioRxiv, doi:10.1101/2021.05.18.444550.
2. T. Akutsu, T. Mori, N. Nakamura, S. Kozawa, Y. Ueno, T. N. Sato (2021) Tree edit distance with variables. Measuring the similarity between mathematical formulas. arXiv:2105.04802.
2020
1. K. Tejima, S. Kozawa, T.N. Sato (2020) Cell type-specific weighting-factors for accurate virtual single-cell RNA-sequencing of diverse organs. bioRxiv, doi:10.1101/2020.07.05.188276.
2. S. Kozawa, F. Sagawa, S. Endo, G.M. Almeida, Y. Mitsuishi, T.N. Sato (2020) Predicting Human Clinical Outcomes using Mouse Multi-Organ Transcriptome. iScience, DOI：10.1016/j.isci.2019.100791.
2018
1. S. Kozawa, R. Ueda, K. Urayama, F. Sagawa, S. Endo, K. Shiizaki, H. Kurosu, G.M. Almeida, S.M. Hasan, K Nakazato, S. Ozaki, Y. Yamashita, M. Kuro-o, T.N. Sato (2018) The Body-wide Transcriptome Landscape of Disease Models. iScience, DOI：10.1016/j.isci.2018.03.014.
2. S. Enya, K. Kawakami, Y. Suzuki, S. Kawaoka (2018) A novel zebrafish intestinal tumor model reveals a role for cyp7a1-dependent tumor-liver crosstalk in tumor's adverse effects on host. Disease Models & Mechanisms, DOI:10.1242/dmm.032383.
2017
1. N. Takada, M. Omae, F. Sagawa, Neil C. Chi, S. Endo, S. Kozawa, T.N. Sato (2017) Re-evaluating the functional landscape of the cardiovascular system during development. Biology Open, 6:1756-1770.
2. H. Hojo, S. Enya, M. Arai, Y. Suzuki, T. Nojiri, K. Kangawa, S. Koyama, S. Kawaoka (2017) Remote reprogramming of hepatic circadian transcriptome by breast cancer. Oncotarget, DOI:10.18632/oncotarget.16699.
2016
1. T.N. Sato, R. M. H. Merks (2016) Shaping the cell fate. Cell Cycle, 16:149-150. (Published Online : 01Nov 2016) DOI:10.1080/15384101.2016.1241603.
2. S. Kozawa, T. Akanuma, T. Sato, Y.D. Sato, K. Ikeda, T.N. Sato(2016) Read-time prediction of cell division timing in developing zebrafish embryo. Scientific Reports, 6:32962.
3. T. Akanuma, C. Chen, T. Sato, R.M.H. Merks, T.N. Sato (2016) Memory of cell shape biases stochastic fate decision-making despite mitotic rounding. Nature Communications, 7:11963.
2015
1. Y. Oka, T.N. Sato (2015) Whole-mount single molecule FISH method for zebrafish embryo. Scientific Reports, 5:8571.
2014
1. K. Okabe, S. Kobayashi, T. Yamada, T. Kurihara, I. Tai-Nagara, T. Miyamoto, Y.S. Mukouyama, T.N. Sato, T. Suda, M. Ema, Y. Kubota (2014) Nurons limit angiogenesis by titrating VEGF in retina. CELL, 159(3):589-96.
2. T. Tokunaga, O. Hirose, S. Kawaguchi, Y. Toyoshima, T. Teramoto, H. Ikebata, S. Kuge, T. Ishihara, Y. iino,R. Yoshida (2014) Automated detection and tracking of many cells by using 4D live-cell imaging data.Bioinformatics, 30(12):i43-i51.
3. H. Yamashita, T. Higuchi, R. Yoshida (2014) Atom Environment Kernelson Molecules. J. Chem. Inf. Model., 54(5):pp1289-1300.
2013
1. Y. Sato, K. Yasuhara, J-i. Kikuchi, T.N. Sato (2013) Synthetic cell division system: Controlling equal vs. unequal divisions by design. Scientific Reports, 3: 3475.