China Education Equipment Purchasing Network News: According to a report in the Nikkan Kogyo Shimbun, a research team led by professors such as Fukui University Okinagawa and Yoshida Toshiyuki has recently developed a new software that can intuitively visualize the whole cell division and proliferation The process has opened a new way for regenerative medicine research.
The researchers sprinkled yeast with visible green fluorescent protein (GFP) in the culture plate. The charge-coupled device camera (CCD) photographed every two minutes and found that the daughter cells split from the same relative cells showed the same color, which can be Trace the origin of the cell, and at the same time analyze the cell's changing process in various environments.
Experts say that the software can track cells from the descendants of fifteen generations from the beginning, and has updated the history of only the fourth generation cells. The new software also changed the traditional analysis method. In the past, counting to see each cell clearly, it took 1 week to analyze the image data of a 24-hour period. After using the new software, the analysis time was shortened to about 2 hours. In addition, the accuracy rate of cell identification by the analysis software is only about 60%, and the error is large. In the case of the system failing to identify, the data needs to be manually entered, and the new software can achieve fully automated analysis, and the accuracy has been greatly improved.
The new software quotes the concept of epigenes, that is, according to changes in the environment, gene activity will change when special molecules are combined into DNA, even if the same gene, the protein produced in the cell may be different. At present, in the field of regenerative medicine such as ips cells (universal cells) and embryonic stem cells (ES cells), it is necessary to incorporate epigenetic ideas. For this reason, experts believe that tracking the activity of a cell is extremely important, and the successful development of this software can further promote the research of regenerative medicine.
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