HCA Data Explorer

A single-cell regulatory map of postnatal lung alveologenesis in humans and mice

Updated June 19, 2023

Ex-utero regulation of the lungs' responses to breathing air and continued alveolar development shape adult respiratory health. Applying single-cell transposome hypersensitive site sequencing (scTHS-seq) to over 80,000 cells, we assembled the first regulatory atlas of postnatal human and mouse lung alveolar development. We defined regulatory modules and elucidated new mechanistic insights directing alveolar septation, including alveolar type 1 and myofibroblast cell signaling and differentiation, and a unique human matrix fibroblast population. Incorporating GWAS, we mapped lung function causal variants to myofibroblasts and identified a pathogenic regulatory unit linked to lineage marker FGF18, demonstrating the utility of chromatin accessibility data to uncover disease mechanism targets. Our regulatory map and analysis model provide valuable new resources to investigate age-dependent and species-specific control of critical developmental processes. Furthermore, these resources complement existing atlas efforts to advance our understanding of lung health and disease across the human lifespan.

Kun ZhangUniversity of California San Diegokzhang@bioeng.ucsd.edu
Thu Elizabeth Duong1
Yan Wu1
Brandon Chin Sos1
Weixiu Dong1
Siddharth Limaye1
Lauraine H Rivier2
Greg Myers2
James S Hagood2
Kun Zhang1
1University of California San Diego
2University of North Carolina
Ida Zucchi

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/92afaa56-d501-481e-a027-dddd72212ba8
None
GEO Series Accessions:INSDC Study Accessions:

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Analysis Portals

None

Project Label

RegulatoryMapPostnatalLung

Species

2 species

Sample Type

specimens

Anatomical Entity

lung

Organ Part

2 organ parts

Selected Cell Types

Unspecified

Disease Status (Specimen)

normal

Disease Status (Donor)

3 disease statuses

Development Stage

3 development stages

Library Construction Method

scATAC-seq (cell index)

Nucleic Acid Source

single nucleus

Paired End

false

Analysis Protocol

peak_calling

File Format

3 file formats

Cell Count Estimate

819.3k

Donor Count

8
bed.gz2 file(s)tsv.gz18 file(s)xlsx1 file(s)