five

Proteomic Characterization of the Greening Process in Rice Seedlings Using the MS Spectral Intensity-based Label Free Method

收藏
Figshare2016-02-22 更新2026-04-29 收录
下载链接:
https://figshare.com/articles/dataset/Proteomic_Characterization_of_the_Greening_Process_in_Rice_Seedlings_Using_the_MS_Spectral_Intensity_based_Label_Free_Method/2565931
下载链接
链接失效反馈
官方服务:
资源简介:
Illumination-induced greening in dark-grown plants is one of the most dramatic developmental processes known in plants. In our current study, we characterized the greening process of rice seedlings using comparative proteome analysis. We identified 886 different proteins in both whole cell lysates of illuminated and nonilluminated rice shoots and performed comparative proteome analysis based on the MS spectral intensities obtained for unique peptides from respective proteins. Furthermore, the changes in the levels of individual proteins were then compared with those of the corresponding mRNAs. The results revealed well-coordinated increases in the enzymes involved in the Calvin cycle at both the protein and mRNA levels during greening, and that the changes at the mRNA level precede those at the protein level. Although a much lower effect of illumination was found on the enzymes associated with glycolysis and the TCA cycle, coordinated increases during greening were evident for the enzymes involved in photorespiration and nitrogen assimilation as well as the components of the chloroplastic translational machinery. These results thus define the differential regulation of distinct biological systems during greening in rice and demonstrate the usefulness of comprehensive and comparative proteome analysis for the characterization of biological processes in plant cells.
创建时间:
2016-02-22
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作