Unknown

Dataset Information

Data-Driven Approach To Determine Popular Proteins for Targeted Proteomics Translation of Six Organ Systems.


ABSTRACT: Amidst the proteomes of human tissues lie subsets of proteins that are closely involved in conserved pathophysiological processes. Much of biomedical research concerns interrogating disease signature proteins and defining their roles in disease mechanisms. With advances in proteomics technologies, it is now feasible to develop targeted proteomics assays that can accurately quantify protein abundance as well as their post-translational modifications; however, with rapidly accumulating number of studies implicating proteins in diseases, current resources are insufficient to target every protein without judiciously prioritizing the proteins with high significance and impact for assay development. We describe here a data science method to prioritize and expedite assay development on high-impac

SUBMITTER: Lam MP 

PROVIDER: S-EPMC5120959 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature