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Signaling networks are classic drug targets but the structure of these networks is often complicated and unpredictable changes can occur during disease or therapy. It is therefore essential to have a deep understanding of how these networks respond to disease, drug treatment and other perturbations. In this webcast, Dr. Bernd Bodenmiller will present a novel, high-throughput multiplexing approach that promises to give cell signaling researchers a major advantage in tracking perturbations in signaling networks: mass-tag cellular bar-coding (MCB). MCB increases the utility of mass cytometry, an existing mass-spectrometry technique, as it dramatically increases the number of single-cell signaling network features that can be simultaneously detected in each patient sample to over 30 proteins and phosphorylation sites. In this technique, each cell sample is labeled with a unique combination of mass-tags, mixed with other samples before antibody staining and then de-convoluted after measurement. MCB allows for the measurement of hundreds of samples per day, reducing antibody costs and greatly increasing the quality of the data due to the homogenous cell labeling. This high-dimensional, systems-level method also allows analysis across cell-type and signaling space and can help reclassify inhibitors and reveal off-target effects.
Potential applications for high-content MCB analysis range from comprehensive profiling of drug function to biological discovery. Speaker:
Dr. Bernd Bodenmiller, Institute of Molecular Life Sciences University of Zurich, Switzerland.  #MSCwebcasts
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