Kozuka, Chisayo
Kaname, Tadashi
Shimizu-Okabe, Chigusa
Takayama, Chitoshi
Tsutsui, Masato
Matsushita, Masayuki
Abe, Keiko
Masuzaki, Hiroaki
Funding for this research was provided by:
Japan Society for the Promotion of Science (24591338)
Okinawa Prefecture (the Okinawa prefecture for promotion of advanced m)
Council for Science, Technology and Innovation (Cross-ministerial Strategic Innovation Promotion P)
Lotte Foundation
New Energy and Industrial Technology Development Organization
Japan Foundation for Applied Enzymology
Article History
Received: 19 January 2017
Accepted: 20 April 2017
First Online: 20 May 2017
Data availability
: Datasets generated and/or analysed during the current study are available from the corresponding author on reasonable requests.
: This work was supported in part by Grants-in-Aid from Japan Society for the Promotion of Science (JSPS; KAKENHI Grant Numbers 15K19520 and 24591338), the Council for Science, Technology and Innovation (CSTI), Cross-ministerial Strategic Innovation Promotion Program (SIP) ‘Technologies for creating next-generation agriculture, forestry and fisheries’, the Lotte Foundation, the Japan Foundation for Applied Enzymology, New Energy and Industrial Technology Development Organization (NEDO), the Project for Formation of Life Science Network (Pharmaceutical Field) (Okinawa Prefecture, Japan) and the Promotion Project of Medical Clustering of Okinawa Prefecture, Japan, along with a grant from the Okinawa Prefecture for promotion of advanced medicine (Okinawa Prefecture, Japan).
: The authors declare that there is no duality of interest associated with this manuscript.
: CK and HM designed the research. CK and TK performed the experiments and analysed the data. TK, CS-O, CT, MT, MM and KA contributed to interpretation of data. CK and HM wrote the manuscript. All authors contributed to data interpretation. All authors joined in revising the manuscript and approved its final version. HM is the guarantor of this work, had full access to all the data and takes full responsibility for the integrity of data and the accuracy of data analysis.