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From a label-free deep dive into the triple-negative breast cancer (TNBC) proteome, Lawrence et al. (2015) have uncovered some potential targets for therapeutic investigation.1 Using 24 cancer samples (cell lines and biopsy tissues), the research team combined a proteomics analysis approach with drug sensitivity testing and integration of genomics data. The methodology and resulting data allowed Read the rest of this article
The post Deep Mining the Triple-Negative Breast Cancer Proteome for Therapeutic Hope appeared first on Accelerating Science.
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