Although genomic (DNA) and transcriptomic (messenger RNA) data are easier to collect and analyze, these are only two of the relevant types of “omic” data that are important for understanding disease and the response to treatments. Proteomic, metabolomic, and lipidomic data are also contain information that can be used diagnostically, prognostically, in developing treatment … Read more
A Proteomic Approach to the Tumor Microenvironment An outstanding issue in treating solid cancers is understanding the complexity of this pathological tissue. Solid tumors are comprised not only of the cancer cells, but they also contain immune cells, cells that form blood vessels and lymphatic vessels, fibroblasts, and the stem cells that form the fibroblasts … Read more
Defining >56,000 Human Protein Interactions through Mass Spectrometry Huttlin and colleagues applied mass spectrometric analysis to affinity purified protein complexes to help build a partial reference map of the human protein interaction space (1). The cDNA encoding the target proteins also engineered to have affinity tags (hemagglutinin and FLAG) were introduced into an easily infected … Read more
Although mass spectrometry-based proteomic analysis is particularly useful for performing global proteomic analysis, this technique can also be used in a more targeted manner. For example, mass spectrometry-based proteomic analysis can be combined with immunoprecipitation to reveal the proteins that interact with the immunoprecipitated protein. Quick and colleagues (1) used coimmunoprecipitation followed by mass spectrometric … Read more