Project description:Epithelioid hemangioendothelioma (EHE) is a rare vascular sarcoma that is associated with a WWTR1-CAMTA1 fusion gene in greater than 90% of cases. Using an adaptation of the FLEx system, we generated a genetically engineered mouse model of EHE whereby the endogenous Wwtr1 Locus is replaced with an Wwtr1-Camta1 locus. Tumors generated from this mouse model were dissociated and a 10X genomics library preparation was performed. The barcoded library was then deep sequenced.
Project description:Several human cancers contain a small subpopulation of cells called cancer stem-like cells (CSCs)/cancer initiating cells (CICs), which are defined by the ability of self- renewal, multi-differentiation potential, and tumorigenesis. In current study, we focused on epithelioid sarcoma, which is very rare caner, and isolated CSCs/CICs from epitheloid sarcoma cell line ESX based on ALDH activity using ALDEFLUOR assay towards identification of a new CIC/CSC marker. We performed gene profiling between ALDHhigh and ALDH low cells using cDNA microarray for the identification of good markers of CSCs/CICs of epithelioid sarcoma.
Project description:Epithelioid hemangioendothelioma (EHE) is a rare vascular sarcoma that is associated with a WWTR1-CAMTA1 fusion gene in greater than 90% of cases. Using an adaptation of the FLEx system, we generated a genetically engineered mouse model of EHE whereby the endogenous Wwtr1 Locus is replaced with an Wwtr1-Camta1 locus. RNA was isolated from the resultant tumors and from control liver tissue and RNA sequencing was performed. Cross species analysis between human and mice tumors demonstrated murine EHE maintains the defining transcriptional features of human EHE.
Project description:Epithelioid hemangioendothelioma (EHE) is a rare vascular sarcoma that is associated with a WWTR1-CAMTA1 fusion gene in greater than 90% of cases. We aimed to investigate the transcriptional pathways activated in EHE. Total RNA was isolated from EHE tumors from surgical resection or autopsy specimens (n=6) followed by RNA-Seq. The results of this study identified a unique transcriptional profile for EHE and helped to validate a novel murine model of EHE.
