The respiratory system, including the lungs, is essential for terrestrial life. While recent research has advanced our understanding of lung development, much still relies on animal models and transcriptome analyses. In this study conducted within the Human Developmental Cell Atlas (HDCA) initiative, we describe the protein-level spatiotemporal organization of the lung during the first trimester of human gestation. Using high-parametric tissue imaging with a 30-plex antibody panel, we analyzed human lung samples from 6 to 13 post-conception weeks, generating data from over 2 million cells across five developmental timepoints. We present a resource detailing spatially resolved cell type composition of the developing human lung, including proliferative states, immune cell patterns, spatial arrangement traits, and their temporal evolution. This represents an extensive single-cell resolved protein-level examination of the developing human lung and provides a valuable resource for further research into the developmental roots of human respiratory health and disease.
High-parametric protein maps reveal the spatial organization in early-developing human lung.
高参数蛋白质图谱揭示了早期发育中的人类肺部的空间组织结构
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作者:Sariyar Sanem, Sountoulidis Alexandros, Hansen Jan Niklas, Marco Salas Sergio, Mardamshina Mariya, Martinez Casals Anna, Ballllosera Navarro Frederic, Andrusivova Zaneta, Li Xiaofei, Czarnewski Paulo, Lundeberg Joakim, Linnarsson Sten, Nilsson Mats, Sundström Erik, Samakovlis Christos, Lundberg Emma, Ayoglu Burcu
| 期刊: | Nature Communications | 影响因子: | 15.700 |
| 时间: | 2024 | 起止号: | 2024 Oct 30; 15(1):9381 |
| doi: | 10.1038/s41467-024-53752-x | 种属: | Human |
| 研究方向: | 发育与干细胞 | ||
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