Transcriptomics

Dataset Information

0

An integrated approach to profile lung tumor endothelial cell heterogeneity across species and models and to identify angiogenic candidates


ABSTRACT: Heterogeneity of lung tumor endothelial cell (TEC) phenotypes across patients, species (human/mouse) and models (in vivo/vitro) remains poorly inventoried at the single-cell-level. We single-cell RNA-sequenced 56,771 ECs from human/mouse (peri)-tumoral lung and cultured human lung TECs, detected 17 known and discovered 16 novel phenotypes, including TECs presumably regulating immune surveillance. We resolved the canonical tip TECs into a known migratory tip and a novel basement-membrane remodeling breach phenotype. Tip-TEC signatures correlated with patient-survival, and tip/breach TECs were most sensitive to VEGF-blockade. By similarity analysis, only tip-TECs were congruent across species/models and shared conserved markers. Integrated analysis of the scRNA-seq data with orthogonal multi-omics and meta-analysis data across different human tumors, validated by functional analysis, identified collagen-modification as angiogenic candidate pathway.

INSTRUMENT(S): Illumina HiSeq 4000

ORGANISM(S): Homo sapiens  

SUBMITTER: Shawez Khan  

PROVIDER: E-MTAB-8031 | ArrayExpress | 2020-03-07

SECONDARY ACCESSION(S): ERP115637

REPOSITORIES: ArrayExpress, ENA

Similar Datasets

2019-12-30 | E-MTAB-6308 | ArrayExpress
2020-03-07 | E-MTAB-7458 | ArrayExpress
2020-03-31 | E-MTAB-8604 | ArrayExpress
| GSE102227 | GEO
2014-05-01 | E-GEOD-56373 | ArrayExpress
2015-07-28 | E-GEOD-68674 | ArrayExpress
2013-05-07 | E-GEOD-44945 | ArrayExpress
| GSE81163 | GEO
| GSE73170 | GEO
| GSE94642 | GEO