A data-independent acquisition-based global phosphoproteomics system enables deep profiling

oleh: Reta Birhanu Kitata, Wai-Kok Choong, Chia-Feng Tsai, Pei-Yi Lin, Bo-Shiun Chen, Yun-Chien Chang, Alexey I. Nesvizhskii, Ting-Yi Sung, Yu-Ju Chen

Format: Article
Diterbitkan: Nature Portfolio 2021-05-01

Deskripsi

Phosphoproteomics can provide systematic insights into disease-associated cell signaling changes. Here, the authors present a sensitive workflow integrating library-based and direct data-independent acquisition approaches, and a hybrid spectral library resource for in-depth phosphoproteomic profiling.