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.
- Type: Other
- Archiver: EGA European Genome-Phenome Archive
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 |
33 |
The Single-Cell Immunogenomic Landscape of B and Plasma Cells in Early-Stage Lung Adenocarcinoma.
Cancer Discov 12: 2022 2626-2645 |
7 |