five

Proteomic analysis of Glycine max seeds during controlled deterioration treatment

收藏
NIAID Data Ecosystem2026-03-10 收录
下载链接:
https://www.omicsdi.org/dataset/pride/PXD006064
下载链接
链接失效反馈
官方服务:
资源简介:
Controlled deterioration treatment (CDT) negatively affects the seed quality and vigor during post-harvest storage. A label-free proteomic approach was utilized to understand the CDT responses in soybean seeds. Soybean seed are rich in seed-storage proteins (SSPs) constituting up to 70 to 80% of the total seed protein content. Due to the presence of these SSPs, it is very difficult to identify and/or characterize the low-abundance regulatory proteins. Availability of appropriate methods for extraction of low-abundance proteins (LAPs) are now providing a platform for the identification of novel proteins involved in the signal perception and transduction during environmental perturbations. To enrich LAPs, the extracted total seed proteins were subjected to protamine sulfate precipitation (PSP) method to deplete SSPs. Fractionated protein fractions thus prepared were analyzed for identification of differential proteins using Label-free quantitative proteomics approaches.

控制劣变处理(Controlled deterioration treatment, CDT)会在大豆种子采后贮藏期间对其质量与活力产生负面影响。为解析大豆种子对CDT的应答机制,本研究采用无标记蛋白质组学方法(label-free proteomic approach)展开相关研究。大豆种子富含种子贮藏蛋白(seed-storage proteins, SSPs),其占种子总蛋白含量的70%~80%;由于这类高丰度贮藏蛋白的存在,低丰度调控蛋白的鉴定与表征工作极具挑战性。低丰度蛋白(low-abundance proteins, LAPs)提取方法的完善,为鉴定环境扰动下参与信号感知与转导的新型蛋白提供了研究平台。为富集低丰度蛋白,研究人员将提取得到的种子总蛋白采用硫酸鱼精蛋白沉淀(protamine sulfate precipitation, PSP)法去除种子贮藏蛋白。通过上述步骤制备得到的分级蛋白组分,采用无标记定量蛋白质组学(label-free quantitative proteomics)方法进行分析,以鉴定差异表达蛋白。
创建时间:
2017-10-10
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