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

Library Number:
APNT135047771
Part Number:
720006815EN
Author(s):
Adam King, Christopher J. Hughes, Giorgis Isaac, Lee A. Gethings, Robert S. Plumb
Source:
Waters
Content Type:
Application Notes
Content Subtype:
Application Notes
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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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