iDIA-QC: AI-empowered data-independent acquisition mass spectrometry-based quality control

iDIA-QC: AI-empowered data-independent acquisition mass spectrometry-based quality control
nature.com

by Huanhuan Gao, Yi Zhu , Dongxue Wang, Zongxiang Nie, He Wang, Guibin Wang, Shuang Liang, Yuting Xie, Yingying Sun, Wenhao Jiang, Zhen Dong, Liqin Qian, Xufei Wang, Mengdi Liang, Min Chen, Houqi Fang, Qiufang Zeng, Jiao Tian, Zeyu Sun, Juan Xue, Shan Li, Chen Chen, Xiang Liu, Xiaolei Lyu, Zhenchang Guo, Yingzi Qi, Ruoyu Wu, Xiaoxian Du, Tingde Tong, Fengchun Kong, Liming Han, Minghui Wang, Yang Zhao, Xinhua Dai, Fuchu He , Tiannan Guo • 6 days ago

The article discusses the development of iDIA-QC, an AI-based software for quality control in mass spectrometry-based proteomics using data-independent acquisition (DIA) methods. It highlights that DIA demonstrates superior sensitivity in monitoring liquid chromatography-mass spectrometry (LC-MS) performance compared to traditional data-dependent acquisition (DDA). The study involved 2754 DIA files from various mass spectrometers, with an AI model achieving high accuracy in quality assessment, ultimately facilitating enhanced proteomic analysis.

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