Shao Wenguang

Tenure-track Associate Professor

  • Tel: 有2025级博士生招生名额
  • Email: wshao@sjtu.edu.cn
  • Address:
  • Our lab focuses on 1) the development of computational methods and statistical models for analyzing mass spectrometric data (computational proteomics); 2) the development of novel algorithms and databases for cancer immunotherapy (immunopeptidomics); 3) the analysis of multi-omics profiling data for personalized medicine (multi-omics).

Selected Publications

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    X. Huang, et al., W. Shao# "The SysteMHC Atlas v2.0, an updated resource for mass spectrometry-based immunopeptidomics" Nucleic Acids Research 2024 (#独立通讯)

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    P. Forny*, X. Bonilla*, D. Lamparter*, W. Shao*, et al. “Integrated multi-omics reveals anaplerotic insufficiency in methylmalonyl-CoA mutase deficiency” Nature Metabolism  2023 (共一,按姓氏排列)

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    W. Shao, E. Caron, P. Pedrioli, R. Aebersold. “The SysteMHC Atlas: a Computational Pipeline, a Website, and a Data Repository for Immunopeptidomic Analyses” Methods in Molecular Biology. 2120:173-181 (2020) (一作;通讯)

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    W. Shao*, T. Guo*, N. Toussaint, U. Wagner, G. Ratsch, P. Wild, R. Aebersold et al. “Comparative analysis of mRNA degradation and protein degradation in 68 pairs of adjacent prostate tissue samples indicates high stability of proteins.” Nature Communications 10, 2524.

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    W. Shao, P. Pedrioli, W. Wolski, C. Scurtescu, et al. “The SysteMHC Atlas project.” Nucleic Acids Research 46, 1237-1247.

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    W. Shao, H. Lam. “Tandem mass spectral libraries of peptides and their roles in proteomics research.” Mass Spectrometry Reviews 5, 634-648.

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    P. Forny*, X. Bonilla*, D. Lamparter*, W. Shao*, et al. “Integrated multi-omics reveals anaplerotic insufficiency in methylmalonyl-CoA mutase deficiency” Nature Metabolism  2023 (co-first; listed alphabetically)

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    Buljan, M., Banaei-Esfahani, A., Blattmann, P., Meier-Abt, F., Shao, W., Vitek, O., Tang, H., & Aebersold, R. (2023). A computational framework for the inference of protein complex remodeling from whole-proteome measurements. Nature Methods