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Akira Nakatsuka

Researcher at Okayama University

Publications -  9
Citations -  757

Akira Nakatsuka is an academic researcher from Okayama University. The author has contributed to research in topics: Biology & Ripening. The author has an hindex of 5, co-authored 5 publications receiving 723 citations.

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Journal ArticleDOI

Differential Expression and Internal Feedback Regulation of 1-Aminocyclopropane-1-Carboxylate Synthase, 1-Aminocyclopropane-1-Carboxylate Oxidase, and Ethylene Receptor Genes in Tomato Fruit during Development and Ripening

TL;DR: The results suggest that in tomato fruit the preclimacteric system 1 ethylene is possibly mediated via constitutively expressed LE-ACS1A and LE- ACS3 and negatively feedback-regulated LE-acS6 genes with preexisting Le-ACO1 and LE -ACO4 mRNAs as a result of a positive feedback regulation.
Journal ArticleDOI

Characterization of ethylene biosynthesis associated with ripening in banana fruit.

TL;DR: Ethylene production in banana fruit is regulated by transcription of MA-ACS1 until climacteric rise and by reduction of ACC oxidase activity possibly through limited in situ availability of its cofactors once ripening has commenced, which in turn characterizes the sharp peak of ethylene production.
Journal ArticleDOI

Expression and Internal Feedback Regulation of ACC Synthase and ACC Oxidase Genes in Ripening Tomato Fruit

TL;DR: The results suggest that a strong positive feedback regulation is involved in ethylene biosynthesis at the gene transcriptional level in tomato fruit, even at the stage with a burst of ethylene production.
Journal ArticleDOI

cDNA cloning of ACC synthase and ACC oxidase genes in cucumber fruit and their differential expression by wounding and auxin

TL;DR: The results strongly suggest that in cucumber fruit these genes are differentially expressed by wounding and auxin and are involved in the regulation of ethylene biosynthesis at the transcriptional level.
Proceedings Article

Effectiveness of back and foot pressures for assessing drowsiness of drivers

TL;DR: The behavioral measures (the back and the foot pressure) during the driving are promising and can be used effectively to evaluate and predict the drivers’ drowsiness.