Single-cell transcriptional profiling reveals heterogeneity and developmental trajectories of Ewing sarcoma.

ABSTRACT:

Purpose

Ewing sarcoma (EwS) is an aggressive malignant neoplasm composed of small round cells. The heterogeneity and developmental trajectories of EwS are uncertain.

Methods

Single-cell RNA sequencing was performed on 4 EwS tumor tissue samples, and 3 transcriptional atlases were generated. K-nearest neighbor algorithm was used to predict the origin of tumor cells at single-cell resolution. Monocle2 package was used to perform pseudotime trajectory analysis in tumor cells. Differentially expressed genes were compared against those in all other clusters via the FindMarkers function, and then they were subjected to GO analysis using clusterProfiler package.

Results

Combined with the results of k-nearest neighbor algorithm and pseudotime trajectory analysis in tumor cell

SUBMITTER: Hong B 

PROVIDER: S-EPMC11800893 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature