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Publication 2019

- Publication history of this year -

29 january 2019                           

Microbiome Alteration in Type 2 Diabetes Mellitus Model of Zebrafish

Sci Rep. 2018;9.867.
Okazaki F, Zang L, Nakayama H, Chen Z, Gao Z, Chiba H, Hui S, Aoki T, Nishimura N, Shimada Y.

ZF-Mapper: Simple and Complete Freeware for Fluorescence Quantification in Zebrafish Images

Zevbrafish. 2019;16:233-239.
Yamamoto D, Sato D, Nakayama H, Nakagawa Y, Shimada Y

Toxicological evaluation of SiO2 nanoparticles by zebrafish embryo toxicity test

Int J Mol Sci. 2019;20,882.
Vranic S, Shimada Y, Ichihara S, Kimata M, Wu W, Tanaka T, Boland S, Tran L, Ichihara G.

An Integrative Evaluation Method for the Biological Safety of Down and Feather Materials

Int J Mol Sci. 2019;20:6.
Kawada T, Kuroyanagi J, Okazaki F, Taniguchi T, Suda N, Abiko S, Kaneco S, Nishimura N, Shimada Y. 

Therapeutic silencing of centromere protein X ameliorates hyperglycemia in zebrafish and mouse models of type 2 diabetes mellitus

Front Genet. 2019;10:693.
Zang L, Shimada Y, Nakayama H, Chen W, Okamoto A, Koide H, Oku N, Dewa T, Shiota M, Nishimura N.

Aging-associated Microstructural Deterioration of Vertebra in Zebrafish

Bone Rep. 2019; 11:100215.
Monma Y, Shimada Y, Nakayama H, Zang L, Nishimura N, Tanaka T.

RNA-seq based transcriptome analysis of the anti-obesity effect of green tea extract using zebrafish obesity models

Molecules. 2019;24:3256
Zang L, Shimada Y, Nakayama H, Kim Y, Chu D, Juneja LR, Kuroyanagi J, Nishimura N.

Water extract of Yamato-Tachibana (Citrus tachibana) induces food intake in adult and larval zebrafish.

J Med Food. 2019. [Epub ahead of print]
Yamada Y, Chensom S, Yonemoto H, Nakayama H, Zang L, Nishimura N, Mishima T, Shimada Y

9 November 2019

Developing a model for a siRNA delivery system by cancer implantation into zebrafish circulation.

Methods Mol Biol. 2019; in press.
Shimada Y, Hazekawa M.

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.

BMC Genomics. 2019;20:878.
Hu W, Yang S, Shimada Y, Münch M, Marín-Juez R, Meijer AH, Spaink HP. 

ZF-AutoML: An Easy Machine-Learning-Based Method to Detect Anomalies in Fluorescent-Labelled Zebrafish.

Inventions. 2019;4:72.
Sawaki R, Sato D, Nakayama H, Nakagawa Y, Shimada Y.


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


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