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Publication (2017-2019)


  1. ZF-AutoML: An easy machine learning-based method to detect anomalies in fluorescent-labelled zebrafish. - Sawaki R, Sato D, Nakayama H, Nakagawa Y, Shimada Y. Inventions. 2019;4:72.
  2. Infection and RNA-seq analysis of a zebrafish tlr2 mutant shows a broad function of this Toll-like receptor in transcriptional and metabolic control and defense to Mycobacterium marinum infection. - Hu W, Yang S, Shimada Y, Münch M, Marín-Juez R, Meijer AH, Spaink HP. BMC Genomics. 2019;20:878.
  3. RNA-seq based transcriptome analysis of the anti-obesity effect of green tea extract using zebrafish obesity models. - Zang L, Shimada Y, Nakayama H, Kim Y, Chu D, Juneja LR, Kuroyanagi J, Nishimura N. Molecules. 2019;24:3256.
  4. Aging-associated microstructural deterioration of vertebra in zebrafish. - Monma Y, Shimada Y, Nakayama H, Zang L, Nishimura N, Tanaka T. Bone Rep. 2019;11:100215.
  5. Therapeutic silencing of centromere protein X ameliorates hyperglycemia in zebrafish and mouse models of type 2 diabetes mellitus. - Zang L, Shimada Y, Nakayama H, Chen W, Okamoto A, Koide H, Oku N, Dewa T, Shiota M, Nishimura N. Front Genet. 2019;10:693.
  6. An integrative evaluation method for the biological safety of down and feather materials. - Kawada T, Kuroyanagi J, Okazaki F, Taniguchi T, Suda N, Abiko S, Kaneco S, Nishimura N, Shimada Y*. Int J Mol Sci. 2019;20:1434.
  7. Toxicological evaluation of SiO2 nanoparticles by zebrafish embryo toxicity test. - Vranic S, Shimada Y, Ichihara S, Kimata M, Wu W, Tanaka T, Boland S, Tran L, Ichihara G. Int J Mol Sci. 2019;20:882.
  8. ZF-Mapper: Simple and complete freeware for fluorescence quantification in zebrafish images. - Yamamoto D, Sato D, Nakayama H, Nakagawa Y, Shimada Y. Zebrafish. 2019;16:233-239.
  9. Microbiome alteration in Type 2 Diabetes Mellitus model of zebrafish. - Okazaki F, Zang L, Nakayama H, Chen Z, Gao Z, Chiba H, Hui S, Aoki T, Nishimura N, Shimada Y. Sci Rep. 2019;9:867.
  10. A novel anti-obesity properties of Palmaria mollis in zebrafish and mouse models. - Nakayama H, Shimada Y, Zang L, Terasawa M, Nishiura K, Matsuda K, Toombs C, Langdon C, Nishimura N. Nutrients. 2018;10:1401.
  11. Zebrafish as a Model for Obesity and Diabetes. - Zang L, Maddison LA, Chen W. Front Cell Dev Biol., 2018;6:91.
  12. Lipidomic profiling on oxidized phospholipids in Type 2 Diabetes Mellitus model zebrafish. - Chen Z, Wu Y, Zang L, Shimada Y, Nakayama H, Rojeet S, Zhao Y, Miura Y, Nishimura N, Chiba H, Hui S. Anal Sci. 2018;34:1201-1208.
  13. Performing DNA nanotechnology operations on a zebrafish. - Yang J, Meng Z, Liu Q, Shimada Y, Olsthoorn RC, Spaink HP, Herrmann A, Kros A. Chem Sci. 2018;9:7271-7276.
  14. Dried Rotifer Sheet: A Novel Live Feed for Rearing First-Feeding Larvae. - Nakayama H, Katayama K, Onabe Y, Sato A, Nishimura N, Shimada Y. Zebrafish. 2018;15:291-294.
  15. Development of a Novel Zebrafish Model for Type 2 Diabetes Mellitus. - Zang L, Shimada Y, Nishimura N. Sci Rep. 2017;7:1461.
  16. Potential protective function of the sterol regulatory element binding factor 1–fatty acid desaturase 1/2 axis in early-stage age-related macular degeneration. - Ashikawa Y, Nishimura Y, Okabe S, Sato Y, Yuge M, Tada T, Miyao H, Murakami S, Kawaguchi K, Sasagawa S, Shimada Y, Tanaka T. Heliyon. 2017;3:3.


  1. ゼブラフィッシュ・マウスを用いた紅藻ダルスの抗肥満効果の発見 - 中山 寛子, アグリバイオ 2020, 4巻, 7号, p77-79
  2. 悪性腫瘍モデルゼブラフィッシュを利用した創薬研究 - 島田康人, 生体の科学2018, 69巻, 4号, p365-370

2-174 Edobashi, Tsu, Mie, 5148572, Japan


Yasuhito Shimada, MD, PhD.
Phone: +81 (0) 59 231 5384