Identifying targets and resistance mechanisms resulting from intra-tumor heterogeneity
Tumors consist of multiple sub-populations with distinct phenotypes that confer growth advantages. Moreover, they are not isolated masses of cancer cells but are surrounded by a unique microenvironment composed of different cell types. We aim to characterize this heterogeneity by utilizing various single-cell sequencing approaches. By identifying unique cell types and states in patient tumors, we will identify novel targets in the tumor micro-environment. We will also identify resistance mechanisms to various treatments by using different experimental model systems.
Schematic representation of experimental design: Tissue specimens are dissociated into a single-cell suspension followed by single-cell sequencing. High dimensional data is processed using dimensionality reduction and clustering approaches. Figure created using BioRender.
For more details, see: Single cell genomic characterization reveals the cellular reprogramming of the gastric tumor microenvironment. Sathe A, Grimes SM, Lau BT, Chen J, Suarez C, Huang RJ, et al. Clin Cancer Res 2020doi 10.1158/1078-0432.CCR-19-3231.
For datasets related to this project, visit: DATASETS