115 - 123 |
Artificial turn-on riboswitch to control target gene expression using a wild-type riboswitch splicing mechanism Yamauchi T, Kubodera T, Miyoshi D, Sugimoto N, Hirohata S |
124 - 130 |
Enhanced triacylglycerol production in oleaginous microalga Neochloris oleoabundans by co-overexpression of lipogenic genes: Plastidial LPAAT1 and ER-located DGAT2 Chungjatupornchai W, Fa-aroonsawat S |
131 - 138 |
Molecular characterization of the possible regulation of multiple bacteriocin production through a three-component regulatory system in Enterococcus faecium NKR-5-3 Ishibashi N, Matsumoto N, Perez RH, Iwatani S, Sugino H, Zendo T, Wilaipun P, Leelawatcharamas V, Nakayama J, Sonomoto K |
139 - 146 |
Type II phosphatidylserine decarboxylase is crucial for the growth and morphogenesis of the filamentous fungus Aspergillus nidulans Takagi K, Kikkawa A, Iwama R, Fukuda R, Horiuchi H |
147 - 152 |
Catalytic activity profile of polyP:AMP phosphotransferase from Myxococcus xanthus Kimura Y, Kamatani S |
153 - 160 |
Dissecting signal molecule AI-2 mediated biofilm formation and environmental tolerance in Lactobacillus plantarum Gu Y, Tian JJ, Zhang Y, Wu R, Li LJ, Zhang BJ, He YF |
161 - 167 |
Efficient extraction and preservation of thermotolerant phycocyanins from red alga Cyanidioschyzon merolae Yoshida C, Murakami M, Niwa A, Takeya M, Osanai T |
168 - 175 |
Effects of pH on ex-situ biomethanation with hydrogenotrophic methanogens under thermophilic and extreme-thermophilic conditions Chen LR, Du SY, Xie L |
176 - 182 |
Biotransformation of celastrol to a novel, well-soluble, low-toxic and anti-oxidative celastrol-29-O-beta-glucoside by Bacillus glycosyltransferases Chang TS, Wang TY, Chiang CM, Lin YJ, Chen HL, Wu YW, Ting HJ, Wu JY |
183 - 189 |
Polymer fraction including exosomes derived from Chinese hamster ovary cells promoted their growth during serum-free repeated batch culture Takagi M, Jimbo S, Oda T, Goto Y, Fujiwara M |
190 - 197 |
Optimizing BIO feeding strategy promotes ex vivo expansion of human hematopoietic stem and progenitor cells Sun QH, Zhou YR, Zhu XJ, Tan WS, Cai HB |
198 - 206 |
Predicting quality decay in continuously passaged mesenchymal stem cells by detecting morphological anomalies Takemoto Y, Imai Y, Kanie K, Kato R |
207 - 212 |
Fake metabolomics chromatogram generation for facilitating deep learning of peak-picking neural networks Kanazawa S, Noda A, Ito A, Hashimoto K, Kunisawa A, Nakanishi T, Kajihara S, Mukai N, Iida J, Fukusaki E, Matsuda F |
213 - 218 |
Pseudo-nuclear staining of cells by deep learning improves the accuracy of automated cell counting in a label-free cellular population Tsuzuki Y, Sanami S, Sugimoto K, Fujita S |
219 - 224 |
Solvent engineering studies on recombinase polymerase amplification Kojima K, Juma KM, Akagi S, Hayashi K, Takita T, O'Sullivan CK, Fujiwara S, Nakura Y, Yanagihara I, Yasukawa K |