High-parametric protein maps reveal the spatial organization in early-developing human lung

Area of Science:

• Developmental Biology
• Human Anatomy
• Cellular Biology

Background:

• Understanding human lung development is crucial for respiratory health.
• Current knowledge relies heavily on animal models and transcriptome data.
• A detailed protein-level map of early human lung development is lacking.

Purpose of the Study:

• To characterize the protein-level spatiotemporal organization of the developing human lung during the first trimester.
• To create a comprehensive resource of cell type composition and spatial patterns in the early human lung.
• To provide insights into the developmental origins of respiratory health and disease.

Main Methods:

• Utilized high-parametric tissue imaging with a 30-plex antibody panel.
• Analyzed human lung samples from 6 to 13 post-conception weeks.
• Generated protein expression data from over 2 million cells across five developmental timepoints within the Human Developmental Cell Atlas (HDCA) initiative.

Main Results:

• Detailed the spatially resolved cell type composition of the developing human lung.
• Identified proliferative states and immune cell patterns during early lung development.
• Characterized spatial arrangement traits and their temporal evolution.

Conclusions:

• This study provides an extensive, single-cell resolved, protein-level examination of the developing human lung.
• The generated resource offers novel insights into the early stages of human lung organogenesis.
• This work serves as a foundation for future research into the developmental basis of human respiratory conditions.