,iTRAQ

Ruomeng Chang1, Chenchen Chang1, Yan Cai1

  • 1Shanghai Institute of Precision Medicine, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China.

Journal of proteomics
|June 28, 2024
PubMed
概括

一种新的方法通过最大限度地减少对基组的过度标签,改善了对比和绝对量化 (iTRAQ) 标签的同位素标签. 这提高了和蛋白质识别率,以更准确地定量蛋白质组.