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INFORMATION FOR

    Yansheng Liu, PhD

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    About

    Titles

    Associate Professor of Pharmacology

    Member, Yale Cancer Biology Institute; Associate Professor, Biomedical Informatics & Data Science; Member, Yale Cancer Center

    Biography

    Dr. Yansheng Liu is an Associate Professor in the Department of Pharmacology at Yale University School of Medicine and a secondary faculty member in the Department of Biomedical Informatics & Data Science (BIDS). He leads a group specializing in quantitative proteomics at the Yale Cancer Biology Institute and the Yale Cancer Center.

    Dr. Liu earned his Ph.D. in Biomedical Sciences from the Chinese Academy of Sciences in 2011 and completed postdoctoral training at ETH Zurich under the mentorship of Ruedi Aebersold. Since joining Yale's faculty in December 2017, his research has centered on analyzing protein turnover and post-translational modifications to unravel the complexities of cancer aneuploidy, cellular signaling pathways, and biodiversity. His lab is also dedicated to advancing multiplexed data-independent acquisition mass spectrometry (DIA-MS) and exploring MALDI imaging mass spectrometry for clinical applications.

    Dr. Liu's contributions have been recognized with several prestigious awards, including the ASMS Research Award, the HUPO Early Career Researcher Award, and the US HUPO Robert J. Cotter Award.

    Last Updated on December 04, 2024.

    Appointments

    Education & Training

    Postdoctoral fellowship
    ETH Zurich, Switzerland (2017)
    PhD
    Chinese Academy of sciences, Biomedical Sciences (2011)

    Research

    Overview


    Specific Research Areas

    Proteostasis, or protein turnover, is a fundamental process that balances protein production and degradation. Our research aims to uncover how proteostasis and post-translational modifications (PTMs) shape cellular function and how their dysregulation drives human diseases.

    1. Impact of protein PTMs on proteostasis.

    Protein PTMs, such as phosphorylation, profoundly influence protein turnover; however, this relationship remains underexplored. We developed the DeltaSILAC MS method to quantify how thousands of phosphosites affect turnover and discovered that phosphorylation often slows degradation, a trend underappreciated in earlier studies (Developmental Cell, 2021). Recently, we profiled turnover rates for 11,000 proteins and ~40,000 phosphosites across eight mouse tissues and brain regions, identifying tissue-specific patterns and phosphosites that stabilize neurodegeneration-linked proteins such as Tau, for which chemical approaches like PhosTACs hold promise to reverse (Cell, 2025).

    2. Impact of chromosome aneuploidy on proteostasis in cancer and genetic diseases.

    Building on our Cell review on proteomic buffering (Cell, 2016) and postdoctoral work on trisomy 21, we uncovered striking proteomic heterogeneity in aneuploid HeLa cells. We showed that “gain-type” aneuploidies stabilize protein complex stoichiometry via selective degradation. Excitingly, we recently demonstrated that “loss-type” aneuploidies employ selective synthesis to maintain balance, enabling tolerance to Chromosome 3 arm loss prevalent in lung cancer (Molecular Cell, 2025). We have also contributed to other work on aneuploidy (Science, 2023). We are now investigating how disease aneuploidy alters proteostasis and phosphorylation to produce “on/off-target” activities.

    3. Dynamics and stability of phosphorylation networks.

    To define phosphoproteomic regulatory mechanisms, we have (a) shown that temporal patterns, not just stimulation magnitude, shape Akt signaling (Nature Communications, 2023); (b) elaborated on mechanisms of action for temporal treatment of colon cancer drugs (Nature Communications, 2024); and (c) mapped conserved phosphorylation networks and motifs across mammalian species (Cell Reports Methods, 2024; Science Advances 2022).

    4. Development of DIA-MS techniques and bioinformatic tools for PTM and proteostasis analysis.

    We continue to advance the applicability of DIA-MS by developing new techniques, such as RTwinDIA and BoxCarmax-DIA (Analytical Chemistry 2021). We have also developed software such as NAguideR (Nucleic Acids Research, 2020) for missing-value imputation and ISW/KdeggeR for turnover analysis (Nature Communications, 2025; Molecular Systems Biology, 2020).


    Collaborations at Yale and Outlook.

    We collaborate extensively with Yale groups on lung, breast, and pancreatic cancers, as well as SARS-CoV-2. Through integrated lipidomic-proteomic research and strong departmental & YSM support, we have recently installed a state-of-the-art MALDI imaging MS and have begun to further advance our understanding of how lipids, PTMs, and proteostasis are altered at the single-cell, spatial, and clinical levels.

    Medical Research Interests

    Big Data; Mass Spectrometry; Proteomics

    Research at a Glance

    Yale Co-Authors

    Frequent collaborators of Yansheng Liu's published research.

    Publications

    Featured Publications

    2025

    Academic Achievements & Community Involvement

    Activities

    • activity

      Proteomics

    • activity

      Review Commons

    • activity

      HUPO Awards Committee

    • activity

      HUPO Education & Training Committee

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      CASMS

    Honors

    • honor

      Robert J. Cotter Award

    • honor

      2021 HUPO Early Career Researcher ECR Manuscript Award (Winner)

    • honor

      Career Enhancement Program (CEP) award

    • honor

      Early Career Faculty Award

    • honor

      2021 ASMS Research Award

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