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Single cell RNAseq of lung adenocarcinoma

Little is known of the geospatial architecture of individual cell populations in lung adenocarcinoma (LUAD) evolution. Here, we perform single-cell RNA sequencing as well as single-cell BCR sequencing of cells from 16 LUADs and 47 multi-region normal lung tissues of defined spatial proximities from the tumors. Our multi-region single-cell sequencing analyses unravel cell populations, states, and phenotypes in the spatial and ecological evolution LUAD from the lung that comprise high-potential targets for early interception.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001006936 Illumina NovaSeq 6000 35
EGAD00001009300 Illumina NovaSeq 6000 107
EGAD00001011813 Illumina NovaSeq 6000 32
Publications Citations
Single-Cell Expression Landscape of SARS-CoV-2 Receptor ACE2 and Host Proteases in Normal and Malignant Lung Tissues from Pulmonary Adenocarcinoma Patients.
Cancers (Basel) 13: 2021 1250
5
Resolving the Spatial and Cellular Architecture of Lung Adenocarcinoma by Multiregion Single-Cell Sequencing.
Cancer Discov 11: 2021 2506-2523
59
The Single-Cell Immunogenomic Landscape of B and Plasma Cells in Early-Stage Lung Adenocarcinoma.
Cancer Discov 12: 2022 2626-2645
37
Pan-cancer T cell atlas links a cellular stress response state to immunotherapy resistance.
Nat Med 29: 2023 1550-1562
74
An atlas of epithelial cell states and plasticity in lung adenocarcinoma.
Nature 627: 2024 656-663
19
METI: deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics.
Nat Commun 15: 2024 7312
0