Prescreening of tumor samples for tumor-centric transcriptome analyses of lung adenocarcinoma.

ABSTRACT:

Background

Single-cell RNA sequencing (scRNA-seq) enables the systemic assessment of intratumoral heterogeneity within tumor cell populations and in diverse stromal cells of the tumor microenvironment. Gain of treatment resistance during tumor progression or drug treatment are important subjects of tumor-centric scRNA-seq analyses, which are hampered by scarce tumor cell portions. To guarantee the inclusion of tumor cells in the data analysis, we developed a prescreening strategy for lung adenocarcinoma.

Methods

We obtained candidate genes that were differentially expressed between normal and tumor cells, excluding stromal cells, from the scRNA-seq data. Tumor cell-specific expression of the candidate genes was assessed via real-time reverse transcription-polymerase chain re

SUBMITTER: Kim N 

PROVIDER: S-EPMC9673386 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature