A unified single-cell atlas of human lung provides insights into pulmonary diseases
This work was supported by the grants of National Key R&D Program of China (2021YFF1200900 and 2021YFF1200903), National Natural Science Foundation of China (92474107), Guangdong Basic and Applied Basic Research Foundation of China (2022B1515120077), Major Project of Guangzhou National Laboratory of China (GZNL2024A01003), and Support Scheme of Guangzhou for Leading Talents in Innovation and Entrepreneurship of China (2020007).
Authors
- Yutong Han (ORCID: https://orcid.org/0000-0002-1442-9671)
- Ran Wang (ORCID: https://orcid.org/0000-0002-4204-4576)
- Fanjie Wu (ORCID: https://orcid.org/0000-0002-9927-214X)
- Mingli Ye (ORCID: https://orcid.org/0000-0003-0219-4796)
- Renke You (ORCID: https://orcid.org/0009-0006-6795-8864)
- Xuegong Zhang (ORCID: https://orcid.org/0000-0002-9684-5643)
- Yixin Chen (ORCID: https://orcid.org/0000-0002-9591-634X)
- Hai C. Tang
- Wenhao Cai
- Shikang Zheng (ORCID: https://orcid.org/0009-0003-9578-1937)
- Weizhong Li (ORCID: https://orcid.org/0000-0002-9003-7733)
- Haiyue Zhang (ORCID: https://orcid.org/0000-0002-7143-9550)
- Amin Chen
- Dingli Zhou
- Jiaqi Li (ORCID: https://orcid.org/0000-0001-8967-5714)
Institutions
- Sun Yat-sen University (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- EBioMedicine
- Published
- 2025-11-16
- DOI
- https://doi.org/10.1016/j.ebiom.2025.106025
- Citations
- 2
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 1.61