Label-free cell cycle analysis for high-throughput imaging flow cytometry

Imaging flow cytometry combines the high-throughput capabilities of conventional flow cytometry with single-cell imaging. Here we demonstrate label-free prediction of DNA content and quantification of the mitotic cell cycle phases by applying supervised machine learning to morphological features extracted from brightfield and the typically ignored darkfield images of cells from an imaging flow cytometer. This method facilitates non-destructive monitoring of cells avoiding potentially confounding effects of fluorescent stains while maximizing available fluorescence channels. The method is effective in cell cycle analysis for mammalian cells, both fixed and live, and accurately assesses the impact of a cell cycle mitotic phase blocking agent. As the same method is effective in predicting the DNA content of fission yeast, it is likely to have a broad application to other cell types

ミャンマー産植物Premna serratifoliaとJatropha multifida及び海綿Clathria proliferaに含まれるメラニン産生制御成分に関する研究

富山大学・富医薬博甲第305号・禹 昭年・2019/03/26当該博士論文は以下の項評論文で構成されています。①Woo, SY., Win, N.N., Wong, C.P. et al. Two new pyrrolo-2-aminoimidazoles from a Myanmarese marine sponge, Clathria prolifera, J Nat Med (2018) 72: 803-807. https://doi.org/10.1007/s11418-018-1205-y This is a pre-print of an article published in Journal of Natural Medicines. The final authenticated version is available online at: https://doi.org/10.1007/s11418-018-1205-y”.②So-Yeun Woo et al. Lignans with melanogenesis effects from Premna serratifolia wood, Fitoterapia (2019) 133:35-42. https://doi.org/10.1016/j.fitote.2018.12.008③So-Yeun Woo et al. A New Tetrahydrofuran Lignan from Premna serratifolia Wood, Natural Product Communications (2019) 14:113-116. https://doi.org/10.1177/1934578X1901400130富山大