Cores
Single Cell Biology and Data Analysis (SCB-DA) Core
Leaders: Jonathan Irish, Yu Shyr
Co-Is: Ken S. Lau, Qi Liu
This Center shared resource provides two critical services: 1) state-of-the-art single-cell analytic experimental procedures, including single-cell RNA-sequencing on several platforms, and mass cytometry analyses; 2) bioinformatics and statistical data analysis services, including dimensionality reduction for interpretation and visualization of high-dimensional data. These services support in a cost-efficient manner analysis and integration of data related to phenotypic heterogeneity in SCLC. The SCB-DA Core will drive development and/or application of cutting edge single-cell and bioinformatics technologies, such as the MEM score metric for separation of cell subpopulations with, e.g., mass cytometry, or the p-Creode algorithm to infer phenotypic trajectories.
Outreach Core
Leaders: Alissa M. Weaver
Co-Lead: Carlos F. Lopez
In addition to cutting edge cancer systems biology research, we are committed to reaching out to the community to disseminate our techniques, modeling approaches and accomplishments. Activities include outreach through: 1) our website; 2) hands-on workshops focused on single-cell technologies and modeling approaches; and 3) seminars and symposia. Our Center investigators are leaders in the area of tumor heterogeneity, network biology, single-cell biology, analysis and modeling of complex systems. They will continue to innovate and drive forward these fields as part of the Center. As new tools and approaches are developed, we will disseminate them through hands-on workshops and online modules.