The mission of the Systems and Computational Biology Core (SCB) is to provide technology resources and support services in systems and computational biology for KCI members, and to promote collaborative research in systems-based oncology across all five Programs. To accomplish this mission, SCB activities are focused in the areas of: 1) workflow planning and experimental design of studies in functional genomics, genetic variation, and cancer systems biology;2) analysis and interpretation of gene expression profiling data (e.g., oncogenomic signatures);3) analysis and modeling of genotype profiling data from both population studies of inherited cancer risk factors and from molecular studies of somatic variation in individual tumors;4) pathway and network modeling of high throughput ("omics") data for biomarker and drug target discovery;and 5) database management and integration of functional genomics and genotype data for clinical translational oncology (e.g., deployment of NCI caBIG? tools). In particular, SCB activities enable the application of molecular profiling and network modeling approaches to clinical studies ranging from the molecular to the population level. The key service lines for the SCB provide an integrated workflow pipeline for all stages of a systems-based project, from pre-project planning and experimental design through post-experiment data analysis and interpretation. Consultation and user training are key components of SCB's approach to lowering the technology barrier for KCI members who wish to incorporate computational analytics and molecular profiling tools into their research projects.
The Systems and Computational Biology Core provides integrative capabilities that support the translation of results from basic research in cancer biology into practical clinical applications for the diagnosis, prognosis and therapy of cancer as a systemic disease.
|Ratanatharathorn, V; Deol, A; Ayash, L et al. (2015) Low-dose antithymocyte globulin enhanced the efficacy of tacrolimus and mycophenolate for GVHD prophylaxis in recipients of unrelated SCT. Bone Marrow Transplant 50:106-12|
|Bollig-Fischer, Aliccia; Chen, Wei; Gadgeel, Shirish M et al. (2015) Racial diversity of actionable mutations in non-small cell lung cancer. J Thorac Oncol 10:250-5|
|Motzer, Robert J; Rini, Brian I; McDermott, David F et al. (2015) Nivolumab for Metastatic Renal Cell Carcinoma: Results of a Randomized Phase II Trial. J Clin Oncol 33:1430-7|
|Wijesinghe, Priyanga; Bepler, Gerold; Bollig-Fischer, Aliccia (2015) A mass spectrometry assay to simultaneously analyze ROS1 and RET fusion gene expression in non-small-cell lung cancer. J Thorac Oncol 10:381-6|
|Koo, Imhoi; Yao, Sen; Zhang, Xiang et al. (2014) Comparative analysis of false discovery rate methods in constructing metabolic association networks. J Bioinform Comput Biol 12:1450018|
|Koo, Imhoi; Wei, Xiaoli; Shi, Xue et al. (2014) Constructing Metabolic Association Networks Using High-dimensional Mass Spectrometry Data. Chemometr Intell Lab Syst 138:193-202|
|Heng, D Y C; Choueiri, T K; Rini, B I et al. (2014) Outcomes of patients with metastatic renal cell carcinoma that do not meet eligibility criteria for clinical trials. Ann Oncol 25:149-54|
|Szalai, Gabor; Xu, Yi; Romero, Roberto et al. (2014) In vivo experiments reveal the good, the bad and the ugly faces of sFlt-1 in pregnancy. PLoS One 9:e110867|
|Bengsch, F; Buck, A; Gunther, S C et al. (2014) Cell type-dependent pathogenic functions of overexpressed human cathepsin B in murine breast cancer progression. Oncogene 33:4474-84|
|Speyer, Cecilia L; Hachem, Ali H; Assi, Ali A et al. (2014) Metabotropic glutamate receptor-1 as a novel target for the antiangiogenic treatment of breast cancer. PLoS One 9:e88830|
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