five

Comparison of LFQ and TMT-based quantitative proteomics towards toxicology research

收藏
NIAID Data Ecosystem2026-03-12 收录
下载链接:
https://www.omicsdi.org/dataset/pride/PXD020248
下载链接
链接失效反馈
官方服务:
资源简介:
Here, we aimed to compare two of the most commonly used global proteomics strategies, label-free quantification (LFQ) and tandem mass tag-based quantification (TMT) to identify the most suitable tool for toxicology research questions on the systemic level. Using a biological case study of HepG2 exposure to benzo[a]pyrene (BaP), we uncovered the advantages and limitations of the two strategies from the view of proteome coverage, fold changes, significant numbers of proteins, and pathway alterations.
创建时间:
2020-12-23
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