Biological Interpretation of Breast Cancer Using Rapid Multi-Omic Profiling Methods

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Adam King, Christopher J. Hughes, Giorgis Isaac, Lee A. Gethings, Robert S. Plumb
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Here, we demonstrate the utility of a high throughput, multi-omic workflow (proteomics and lipidomics) for a plasma-based sample set, consisting of healthy controls and breast cancer individuals. Resulting lipid and protein DIA datasets have been integrated and interrogated to provide insights into the biological pathway and associated networks connected to the pathogenesis of the disease.

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