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Dataset Information

A unified single-cell atlas of human lung provides insights into pulmonary diseases.


ABSTRACT:

Background

The human lung is a highly complex organ characterised by extensive cellular heterogeneity, making it susceptible to a broad range of diseases. Single-cell transcriptomics has shed light on disease-specific cellular features, but previous studies have been fragmented, limiting a unified understanding of cellular mechanisms across various lung diseases. Furthermore, high-resolution reference atlases for lung cells are lacking, impeding the effective integration of spatial omics data and the exploration of shared pathogenic mechanisms.

Methods

We constructed uniLUNG, the most comprehensive single-cell RNA sequencing atlas of the human lung, by integrating 62 published datasets comprising 9.2 million cells from 1807 donors across health and 17 disease conditions. We

SUBMITTER: Wu F 

PROVIDER: S-EPMC12661450 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature