AI Article Synopsis

  • The study focuses on the lung's development during the first trimester of human pregnancy, emphasizing its importance for life on land.
  • It utilizes advanced imaging and analysis techniques to map the protein-level organization of lung cells over various stages of gestation, examining more than 2 million cells.
  • The findings offer a detailed resource on the types of cells in the developing lung as well as their growth and spatial patterns, serving as a foundation for future research on respiratory health.

Article Abstract

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525936PMC
http://dx.doi.org/10.1038/s41467-024-53752-xDOI Listing

Publication Analysis

Top Keywords

human lung
16
developing human
8
human
7
lung
6
high-parametric protein
4
protein maps
4
maps reveal
4
reveal spatial
4
spatial organization
4
organization early-developing
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!