Single Cell and Bulk RNA-seq Analysis on the Dynamic of Glioma Cells

Glioma is a type of refractory cancer. The incomplete knowledge of different states of glioma and the lack of biomarkers and drugs limit the treatment options of glioma. To identify potential clinically relevant biomarkers I analyzed bulk RNA-seq data collected from the mice with glioblastoma (GBM) and single cell RNA-seq data collected from mice with GBM cells 35 days prior. I identified the genetic connection between different states of gliomas, as well as gene-set markers and gliomagenesis-related genes using bulk and single-cell RNA sequencing (RNA-seq) datasets. I confirmed the stemness signature genes that appear in different states of gliomas. I also performed lineage tracing analysis and identified mutations that are specific in populations of glioma cells. Differential expression analysis confirmed the Nf1 as one important tumor suppressor gene, and Vim as a differentially expressed gene when tumor cells migrate from SVZ (Subventricular zone) to GBM. In this study, I found multiple regulatory genes (Nf1, Vim, etc) and significant pathway for gliomas.

Author

• Chen, Sitong

Language

• en

Keyword

• Bulk RNA-seq
• Glioblastoma
• Glioma
• Single cell RNA-seq

Date created

• 2020

Type of Work

• Master's Thesis

License

• All rights reserved

Rights statement

• In Copyright

GW Unit

• Molecular Biochemistry & Bioinformatics

Degree

• M.S.

Advisor

• Li, Wei

Committee Member(s)

• Horvath, Anelia

Persistent URL

•  https://scholarspace.library.gwu.edu/etd/t148fh941