Utilizing multi-omics integration to better understand tumoral-, microenvironmental, and immune-metabolism
As an interdisciplinary computational biologist, Dr. Rosario’s research focuses on developing and implementing integrative computational approaches to -omics data sets to reveal novel insight into cancer development and therapy resistance.
The Rosario Lab develops novel metabolomics assays, and bioinformatics tools for analyzing and visualizing metabolomics data, as well as the use of multi-omics integrative models and novel bioinformatics pipelines to identify unique patterns of dysregulated metabolism in the tumor, the tumor microenvironment, and immune milieu.
These metabolic alterations can then be therapeutically leveraged for intervention, which we currently explore using both basic science and several multi-omics correlative studies utilizing clinical specimens from NIH-funded clinical trials.
Our laboratory has two major goals: (1) Developing novel pipelines for assessing metabolomics data that can also integrate this data with other types of multi-omics data; and (2) understanding how dysregulated metabolism underlies alterations to the tumor, tumor microenvironment and immune landscape to alter therapeutic efficacy.Metabolic pipelineMetabolism & racial disparities