Author
Westlake University
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
6 papers
Recent·Most cited
Liang Yue, Wenhao Jiang, Sainan Li, Meng Luo, Ning Fan, Xiaolu Zhan, Rui Sun, Honghan Cheng, Zhangzhi Xue, Tong Liu, Qianhe Zhou, Kexin Chen, Tian Lu, Fang Guo, Dongwei Li, , Tiannan Guo
The paper presents a comprehensive spatial proteome map of human tissues and cancers, enabling drug response analysis and target discovery.
Nature · Jun 17, 2026Peer-reviewedSystems Biology
Huanhuan Gao, Yuecheng Zhan, Yuanqi Liu, Zhiyi Zhu, Yuxiu Zheng, Liqin Qian, Zhangzhi Xue, Honghan Cheng, Zongxiang Nie, Weigang Ge, Senlin Ruan, Jiaxu Liu, Jikai Zhang, Yingying Sun, Lei Zhou, , Tiannan Guo
This study evaluates blood contamination in nanoparticle-based plasma proteomics, identifies contamination sources, and introduces software to detect and mitigate contamination in clinical samples.
EMBO Molecular Medicine · Dec 5, 2025Peer-reviewedBiochemistry
Qi Xiao, Yuting Xie, Meng Luo, Hui Yang, Zhengyi Yang, Ming Chen, Nan Wang, Zhaoxing Li, Jinlong Gao, Jing Yu, Wenhao Jiang, Weigang Ge, Weirong Xiang, Jianfei Lu, Zongxiang Nie, , Tiannan Guo
The paper creates a spatially-resolved human brain proteome atlas, revealing protein diversity and functional specialization, and identifies therapeutic targets in epilepsy.
bioRxiv · Oct 16, 2025 · PreprintNeuroscience
A Jun, Xiang Zhang, Xiaofan Zhang, Jiaqi Wei, Tian-Shan Zhang, Yamin Deng, Pu Liu, Zongxiang Nie, Yi Chen, Nanqing Dong, Zhiqiang Gao, Siqi Sun, Tiannan Guo
MassNet provides a large-scale mass spectral corpus for proteomics, enabling AI-driven de novo peptide sequencing with improved performance over existing methods.
bioRxiv · Jun 20, 2025 · PreprintBioinformatics
Zhiwei Liu, Pu‐Kun Liu, Yingying Sun, Zongxiang Nie, Xiaofan Zhang, Yuqi Zhang, Yi Chen, Tiannan Guo
DIA-BERT improves DIA proteomics analysis by using pre-trained transformer models, achieving higher protein and peptide identifications than DIA-NN in cancer samples.
Nature Communications · Apr 14, 2025Peer-reviewedSystems Biology
A. S. Jun, Pu‐Kun Liu, Yingying Sun, Jiaying Lin, Xiaofan Zhang, Zongxiang Nie, Yuqi Zhang, Ziyuan Xing, Yi Chen, Tiannan Guo
DDA-BERT improves PSM rescoring in proteomics using a transformer-based model trained on 95 million human spectra, outperforming existing methods across species and sample types.
bioRxiv · Nov 13, 2024 · PreprintBioinformatics