研究方向：
实验室聚焦肿瘤免疫学，致力于使用前沿的生物信息学技术，深度结合数据挖掘与生物实验来解决肿瘤免疫学中的重要科学问题。探究肿瘤免疫调控机制与免疫细胞互作，揭示肿瘤免疫反应机理，旨在为临床免疫治疗成功率的提高提供新的靶向基因，为免疫调控基因的发现提供新的研究思路，为临床肿瘤用药提供新的方法。
我们正在开发多种算法和工具来整合分析高通量基因组学数据，包括 RNA-seq、WES、CRISPR筛选、单细胞测序、空间转录组学数据等。通过数据整合和算法开发，我们尝试对肿瘤发生、进展、药物反应和耐药性的特异性进行建模。当我们在数据分析中获得意想不到但有趣的结果时，我们会设计相应的实验进行验证和探索，以期了解潜在的调控机制。
我们实验室利用免疫学、分子细胞生物学等手段对免疫微环境中细胞的调控机制进行探究，我们涉及的方向有: 杀伤性CD4细胞，巨噬细胞，B细胞，NK细胞，高级别浆液性卵巢癌类器官，CRISPR筛选等。
代表性成果：
Zeng Z*, Gu S*, Wong C, Li D, Lin Y, Wong C, Ouardaoui N, Zhang W, Brown M, Liu XS#: Machine learning on syngeneic mouse tumor profiles to model clinical immunotherapy response. Science Advances (2022) 10.1126.
Zeng Z*, Gu S*, Yang L, Wong C, Ouardaoui N, Zhang W, Li D, Weirather J, Zhang Y, Meyer C, Rodig S, Hodi SF#, Brown M#, Liu XS#: Hippo signaling pathway regulates cancer cell-intrinsic MHC-II expression. Cancer Immunology Research (2022) 10.1158.
Zeng Z*, Li Y*, Li Yi*, Luo Y: Computational methods for spatially resolved transcriptomics data analysis. Genome Biology (2022) 10.02653
Zeng Z*,#, Wong C*, Lin Y*, Li D, Zhang Y, Gu S, Zhang W, Kim S, Yates K, Freeman G, Brown M, Manguso R, Liu XS#: TISMO: syngeneic mouse tumor database to model tumor immunity and immunotherapy response. Nucleic Acids Research (2021) 10.1093
Zeng Z*, Fu J*, Cibulskis C, Jhaveri A, Gumbs C, Das B, … & Liu XS#, Wu C#: Cross-site concordance evaluation of tumor DNA and RNA sequencing platforms for the CIMAC-CIDC network. Clinical Cancer Research. (2021).20.3251
Kumar S*, Zeng Z*, Bagati A*, Tay Re*, Sanz L, Hartono SR, … & Liu XS#, Wucherpfennig K#: Carm1 inhibition enables immunotherapy of resistant tumors by dual action on tumor and T-cells. Cancer Discovery (2021). 20-1144
Zhou L*, Zeng Z*, Egloff A, Zhang F, Guo F, Cambell K, Du P, … & Liu XS#, Uppaluri R#: Checkpoint blockade induced CD8+ T cell differentiation in responders in head and neck cancers. Journal for ImmunoTherapy of Cancer (2021). 10 (1), e004034
