- 著者
- Junko Hasegawa Takumi Higaki Yuki Hamamura Daisuke Kurihara Natsumaro Kutsuna Tetsuya Higashiyama Seiichiro Hasezawa Sachihiro Matsunaga
- 出版者
- 日本メンデル協会、国際細胞学会
- 雑誌
- CYTOLOGIA (ISSN:00114545)
- 巻号頁・発行日
- vol.79, no.4, pp.467-474, 2014-12-25 (Released:2015-01-16)
- 参考文献数
- 31
- 被引用文献数
- 1 7
Vacuoles occupy 80–90% of a mature plant cell and mainly contribute to all types of cell expansion. Zeocin, an inducer of DNA double-strand breaks, causes cell expansion with endoreduplication. The vacuolar structure after zeocin treatment was examined in tobacco (Nicotiana tabacum) cultured cells expressing GFP fused to a vacuole membrane protein. We found that the genotoxic stress induced the cell expansion with subdivision of the vacuolar lumen by cytoplasmic strands. When a femtosecond laser was used to cut off the cytoplasmic strand, mitochondrial transport along the strand stopped. This suggested that in the elongated cells under the genotoxic stress, the transport of subcellular materials was activated for DNA repair within the damaged cell nucleus by the construction of a network of cytoplasmic strands in the vacuolar lumen.
- 著者
- Takumi Higaki Aya Kato Fumiyoshi Myouga Natsumaro Kutsuna Seiichiro Hasezawa Noriko Nagata
- 出版者
- 日本バイオイメージング学会
- 雑誌
- bioimages (ISSN:09192719)
- 巻号頁・発行日
- vol.22, pp.1-7, 2014 (Released:2015-06-30)
- 参考文献数
- 12
Recent advances in bioimaging equipment have allowed for the significant and rapid acquisition of biological images. Consequently, new methods are energetically being developed to quantitatively and objectively evaluate the biological features of many bioimages. Recently, we described the application of the CARTA (Clustering-Aided Rapid Training Agent) image classification framework, which can be used to obtain highly accurate classifications of a wide variety of biomedical images. However, the efficacy of this technology in association with transmission electron microscopy (TEM) images has not been evaluated. We herein report the automatic classification of chloroplast TEM images of chloroplasts of wild-type Arabidopsis thaliana and four kinds of mutants impaired in chloroplast-targeted proteins. CARTA successfully classified the TEM images based on their genetic backgrounds. As previously reported with fluorescent microscopic and magnetic resonance images, CARTA reduced the annotation cost while maintaining accuracy. Furthermore, using images obtained with different accelerating voltages resulted in biologically meaningless classifications, suggesting that TEM settings are critical for chloroplast morphological classification. CARTA is expected to be useful for future computational inspections of the ultrastructure visualized with TEM.