彭城 研究员，博士生导师
Email：chengpeng@ynu.edu.cn
个人简介：
彭城，博士，研究员。2011年毕业于上海交通大学，获计算机软件与理论博士学位，2008年-2010年在美国加州大学伯克利分校生物工程系进行博士联合培养。2011年进入华中农业老员工物信息系工作，2019年调入william集团公司。主要从事生物信息学及其应用研究，开发多款生物信息学软件来处理和分析高通量测序数据，结合计算和实验解析生物学问题。
招生专业：
生物信息学
生物化学与分子生物学
生物与医药
研究方向：
1、高通量数据分析：开发和应用生物信息学软件来处理高通量测序数据，结合实验解析生物学意义。
2、计算药物筛选：开发药物转录扰动和药物重定位计算方法，结合实验开展药物筛选和功能验证。
代表性研究成果：（#表示共同第一作者，*通讯或共同通讯作者）
1. Yuzhuo Zhou#, Yiyuli Tang#, Cheng Peng*. Zbtb18 deficiency impairs the hippocampal development and neurite growth. Molecular Neurobiology, 2026, 63:957. https://rdcu.be/ZWFwwEpwnSua
2. Yiyuli Tang, Yuzhuo Zhou, Zhenning Wei, Yan Wen, Cheng Peng*. The cell-type specific interaction based drug repurposing for psychiatric disorders. Translational Psychiatry, 2026, 16:427.
3. Qiang Zhang#, Qing Zhang#, Chunming Guo*, Cheng Peng*. scTumorDrug: predicting cell-type specific drug responses for heterogeneous tumors. Briefings in Bioinformatics, 2026, 27(3), bbag337.
4. Chenglong Sang, Cheng Peng*. BrainConnect: processing brain connectivity and spatial transcriptomics data for integrative analysis. Bioinformatics, 2026, 42(3), btag120.
5. Fengyu Zhang, Cheng Peng*. Spatially multimodal and multiscale network for representation learning from spatial multi-omics. BMC Genomics, 2026, 27: 530.
6. Fang Liu#, Yiyu-Li Tang#, Zong-Bo Zhang, Ya-Hong Tan, Si-Hui Lin, Ni-Ya Wang, Jin-Nan Li, Zhi-Jie Pan, Jian-Feng Li, Jing-Fei Huang, Yu-Qiang Ding, Chun-Ming Guo*, Lin Xu*, Cheng Peng*, Qi-Xin Zhou*. Modifying Glucose Metabolism Reverses Memory Defects of Alzheimer’s Disease Model at Late Stages. Advanced Science, 2026, 13(11): e06695.
7. Yaying Zhu#, Chengxiang Deng#, Bo Chen#, Jia He, Yanan Liu, Shan Lei, Weijun Lu, Cheng Peng*, Zhao Shan*. Mid-zone hepatocytes trade proliferation for survival via Atf4-Chop axis in early acute liver injury. eLife 2025, 14:RP108646.
8. Yang Feng#, Jie Zhou#, Dianjue Li, Zhen Wang, Cheng Peng*, Guangtao Zhu*. The haplotype-resolved T2T genome assembly of the wild potato species Solanum commersonii provides molecular insights into its freezing tolerance. Plant Communications, 2024, 5: 100980.
9. Jianfen Yang#, Yu Li#, Yiyuli Tang, Ling Yang, Chunming Guo, Cheng Peng*. Spatial transcriptome reveals the region-specific genes and pathways regulated by Satb2 in neocortical development. BMC Genomics, 2024, 25:757.
10. Yingzhou Hong#, Kai Song#, Zongbo Zhang#, Yuxia Deng, Xue Zhang, Jinqian Zhao, Jun Jiang, Qing Zhang, Chunming Guo*, Cheng Peng*. The spatiotemporal dynamics of spatially variable genes in developing mouse brain revealed by a novel computational scheme. Cell Death Discovery, 2023, 9: 264.
11. Dan-Ya Wu#, Xinxin Li#, Qiao-Ran Sun, Cheng-Li Dou, Tian Xu, Hainan He, Han Luo, Haitao Fu, Guo-Wei Bu, Bingbing Luo, Xia Zhang, Bin-Guang Ma, Cheng Peng*, Yi-Liang Miao*. Defective chromatin architectures in embryonic stem cells derived from somatic cell nuclear transfer impair their differentiation potentials. Cell Death & Disease, 2021, 12:1085.
12. Han Luo#, Xinxin Li#, Haitao Fu, Cheng Peng*. HiCHap: a package to correct and analyze the diploid Hi-C data. BMC Genomics, 2020, 21:746.
13. Xiao-Tao Wang, Wang Cui, Cheng Peng*. HiTAD: detecting the structural and functional hierarchies of topologically associating domains from chromatin interactions. Nucleic Acids Research, 2017, 45(19): e163.
14. Xiao-Tao Wang, Peng-Fei Dong, Hong-Yu Zhang, Cheng Peng*. Structural heterogeneity and functional diversity of topologically associating domains in mammalian genomes. Nucleic Acids Research, 2015, 43(15):7237-7246.
15. Cheng Peng#*, Liang-Yu Fu#, Peng-Fei Dong, Zhi-Luo Deng, Jian-Xin Li, Xiao-Tao Wang, Hong-Yu Zhang*. The sequencing bias relaxed characteristics of Hi-C derived data and implications for chromatin 3D modeling. Nucleic Acids Research, 2013, 41(19):e183.
