实验室结合单细胞多组学和生物信息血方法，以血液系统为模型，研究表观遗传及基因组遗传多样性的复杂调控网络。主要方向包括：

造血调控网络：经典的造血分化模型表现为层级分化模式，随着今年来单细胞等技术的发展，这一经典模型受到了挑战并不断更新。如从造血干细胞到巨核细胞的旁路分化，以及造血干祖细胞间的连续分化状态。这其中，我们对各类细胞的身份、分化过程中命运的选择和分化路径等问题的理解仍不全面。为了回答这些问题，我们实验室通过整合单细胞多组学方法（包括基因组、转录组和表观组，如DNA甲基化和染色质可及性）来研究单个血细胞，这包含造血干细胞、祖细胞以及成熟的各谱系血细胞。我们也关注非正常造血和恶性血液病，希望为临床的血液病诊断和治疗提供新的方案。

生物信息方法开发：随着大量测序数据的积累，如何从大数据中准确且有效的挖掘出生物学机制，成为目前基于组学研究的主要挑战之一。因此，我实验室也致力与开发生物信息方法来推动组学数据分析。

2017 北京大学细胞生物学博士

2012 电子科技大学生物技术学士

2017  中国医学科学院血液病医院（中国医学科学院血液学研究所） 副研究员

1、人血液单细胞多组学研究，国家自然基金委优青项目，82022002，2021/01-2023/12。

2、天津青年拔尖人才支持计划，第三批天津市人才发展特殊支持计划，2019/06-2022/06。

3、再生障碍性贫血造血干细胞的单细胞转录组研究，医科院基本科研业务费，2017PT31034，2017/12-2018/12。

1. Xiaowei Xie#, Mengyao Liu#, Yawen Zhang#, Bingrui Wang, Caiying Zhu, Chenchen Wang, Qing Li, Yingying Huo, Jiaojiao Guo, Changlu Xu, Linping Hu, Aiming Pang, Shihui Ma, Lina Wang, Wenbin Cao, Shulian Chen, Qiuling Li, Sudong Zhang, Xueying Zhao, Wen Zhou, Hongbo Luo, Guoguang Zheng, Erlie Jiang, Sizhou Feng, Lixiang Chen, Xiuli An, Lihong Shi, Hui Cheng, Sha Hao*, Ping Zhu*, Tao Cheng*. Single-cell Transcriptomic Landscape of Human Blood Cells. National Science Review. 24 August 2020, nwaa180.

2. Fang Dong# , Sha Hao# , Sen Zhang# , Caiying Zhu#, Hui Cheng# , Zining Yang, Fiona K. Hamey, Xiaofang Wang, Ai Gao, Fengjiao Wang, Yun Gao, Ji Dong, Chenchen Wang, Yu Lan, Bing Liu, Hideo Ema, Fuchou Tang, Berthold Gottgens *, Ping Zhu* ,Tao Cheng *.Differentiation of haematopoietic stem cells upon transplantation tracked by single cell transcriptomics. Nature Cell Biology,04 May 2020, 22, 630–639(2020).

3. Peng Wu, Yan Gao, Weilong Guo, Ping Zhu*,Using Local Alignment to Enhance Single Cell Bisulfite Sequencing Data Efficiency. Bioinformatics,September 2019，Volume 35, Issue 18, 15, Pages 3273–3278.

4. Ping Zhu#, Hongshan Guo#, Yixin Ren#, Yu Hou#, ji Dong, Ying Lian, Xiaoying Fan, Boqiang Hu, Yun Gao, Xiaoye Wang, Yuan Wei, Ping Liu, Jie Yan, Xiulian Ren, Peng Yuan, Yifeng Yuan, Zhiqiang Yan, Lu Wen, Liying Yan, Jie Qiao, and Fuchou Tang.Single-cell DNA Methylome Sequencing of Human Preimplantation Embryos. Nature Genetics,2018, 50.12-19.

5. Weilong Guo#, Ping Zhu#, Matteo Pellegrini, Michael Zhang, Xiangfeng Wang, and Zhongfu Ni.CGmapTools: improved the precision of heterozygous SNV calling and supported allele-specific methylation detection and visualization in bisulfite-sequencing data.Bioinformatics,2018, 34.381-387.

6. Fan Zhou#, Xianlong Li#, Weili Wang#, Ping Zhu#, Jie Zhou#, Wenyan He#, Meng Ding, Fuyin Xiong, Xiaona Zheng, Zhuan Li, Yanli Ni, Xiaohuan Mu, Lu Wen, Tao Cheng, Yu Lan, Weiping Yuan, Fuchou Tang, and Bing Liu.Tracing haematopoietic stem cell formation at single-cell resolution. Nature, 2016, 533.487-492.

7. Xiaoyu Li#, Ping Zhu#, Shiqing Ma#, Jinghui Song, Jinyi Bai, Fangfang Sun, and Chengqi Yi.Chemical pulldown reveals dynamic pseudouridylation of the mammalian transcriptome.Nature Chemical Biology,2015, 11.592-597.

8. Hongshan Guo#, Ping Zhu#, Fan Guo, Xianlong Li, Xinglong Wu, Xiaoying Fan, Lu Wen, and Fuchou Tang.Profiling DNA methylome landscapes of mammalian cells with single-cell reduced-representation bisulfite sequencing. Nature Protocols, 2015, 10.645-659.

9. Hongshan Guo#, Ping Zhu#, Liying Yan#, Rong Li#, Boqiang Hu, Ying Lian, Jie Yan, Xiulian Ren, Shengli Lin, Junsheng Li, Xiaohu Jin, Xiaodan Shi, Ping Liu, Xiaoye Wang, Wei Wang, Yuan Wei, Xianlong Li, Fan Guo, Xinglong Wu, Xiaoying Fan, Jun Yong, Lu Wen, Sunney X Xie, Fuchou Tang, and Jie Qiao.The DNA methylation landscape of human early embryos.Nature,2014, 511(7511):606–610.

10. Hongshan Guo#, Ping Zhu#, Xinglong Wu, Xianlong Li, Lu Wen, and Fuchou Tang. Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing. Genome Research, 23(12):2126–2135, December 2013.