Research Team

A multidisciplinary consortium of biologists, computational scientists, and clinicians working together to map the cellular landscape of aging.

Principal Investigators

Prof. Aidong Liu

Prof. Aidong Liu

Principal Investigator

Chinese Center for Disease Control and Prevention

Prof. Shufang Cui

Prof. Shufang Cui

Principal Investigator

Naval Medical University

Prof. Yizhi Yu

Prof. Yizhi Yu

Principal Investigator

Naval Medical University

Prof. Sheng Xu

Prof. Sheng Xu

Principal Investigator

Naval Medical University

Dr. Dongsheng Chen

Dr. Dongsheng Chen

Principal Investigator

Suzhou Institute of Systems Medicine

Senior Researchers

Dr. Shulei Yin

Dr. Shulei Yin

Associate Professor

Naval Medical University

Dr. Yutao Chen

Dr. Yutao Chen

PostDoc

Naval Medical University

Team Members

Mr. Chunzhen Li

Mr. Chunzhen Li

Team member

Naval Medical University

Mr. Yingling Wen

Mr. Yingling Wen

Team member

Naval Medical University

Mr. Shengwei Tian

Mr. Shengwei Tian

Team member

Suzhou Institute of Systems Medicine

Mr. Yuerwei Guan

Mr. Yuerwei Guan

Team member

Suzhou Institute of Systems Medicine

Mr. Xuan Yang

Mr. Xuan Yang

Team member

Harbin Institute of Technology

Mr. Shikai Wang

Mr. Shikai Wang

Team member

Suzhou Institute of Systems Medicine

Member Institutions

Naval Medical University

Shanghai, China

Leading institution. Hosts the Principal Investigators, wet-lab teams, and computational biology group responsible for data curation and atlas construction.

Suzhou Institute of Systems Medicine

Suzhou, Jiangsu, China

Co-hosting institution. Contributes multi-omics data generation, bioinformatics analysis pipelines, and the NMR aging dataset series.

Harbin Institute of Technology

Harbin, Heilongjiang, China

Collaborating institution. Contributes web development, database engineering, and data visualization components.

Chinese Center for Disease Control and Prevention

Beijing, China

Collaborating institution. Contributes expertise in epidemiology and public health research to cross-species aging studies.

Contact the LACA Team

For data inquiries, collaboration proposals, or to report errors in dataset records, please reach out via the lab email. We aim to respond within 5 business days.

cds@ism.pumc.edu.cn