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A single cell RNAseq benchmark experiment embedding "controlled" cancer heterogeneity

ABSTRACT: Single-cell RNA sequencing (scRNA-seq) has emerged as a vital tool in tumor research, enabling exploration of molecular complexities at the individual cell level. It offers new technical possibilities for advancing tumor research and is anticipated to yield significant breakthroughs. However, deciphering meaningful insights from scRNA-seq data poses challenges, particularly in cell annotation and tumor subpopulation identification. Efficient algorithms are needed to unravel the intricate biological processes of cancer. To address these challenges, benchmarking datasets are essential to validate bioinformatics tools focusing on the analysis of single-cell omics in oncology. Here, we present a 10XGenomics scRNA-seq experiment, providing a controlled heterogeneity environment using lung cancer cell lines characterised by expressing seven different driver genes (EGFR, ALK, MET, ERBB2, KRAS, BRAF, ROS1), which are characterised by the presence of partial overlaps in their functional pathways. Furthermore, PBMC from a healthy donor were also sequenced

ORGANISM(S): Homo sapiens

PROVIDER: GSE243665 | GEO | 2023/12/02

REPOSITORIES: GEO

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