Molecular Profiling of Lung Cancer Cell Lines
Through multiple collaborations we are generating large molecular datasets of our lung cancer cell line panels (175 NSCLC lines, 75 SCLC lines, others) and patient-derived xenografts (PDXs). These include:
- Whole-exome and whole-genome sequencing
- RNAseq
- Copy number variation (from sequencing read depths)
- Methylation profiling on 450,000 CpG sites (in collaboration with Genentech)
This wealth of information (several terabytes of data) can lead to better understanding of how these cancers develop and how to treat them. They are being applied to several areas of research such as finding sets of genes that correlate with molecular or clinical phenotypes such as sensitivity or resistance to therapy, or finding vulnerabilities in cancer cells that can then be targeted with specific drugs.
In addition, these datasets fuel a wide range of cancer research projects and collaborations both at UT Southwestern and with other institutions.