Thermo Fisher Scientific
Translational proteomics workflows place much greater emphasis on biological replicate analysis of large, well-defined cohorts and requires robustness and throughput of the entire workflow to decipher new biomarkers in biofluids such as plasma or serum.
In this webinar, the high throughput generation of plasma profiles will be described, highlighting parts of the workflow that have been optimized for speed and robustness, resulting in a standardized seamless solution that delivers biological insights in a relevant timeline.
With most mass spectrometry-based workflows, sample preparation methods are not fully standardized. Here, we describe a fully automated sample preparation method compatible for use with plasma that saves time, minimizes analytical variability, and improves reproducibility of protein/peptide identifications compared to previous proteomic methods. Processed samples are then subjected to an integrated purification and separation system run with a short LC gradient coupled to high resolution accurate mass (HRAM) MS that enable both high throughput and robustness needed for the biomarker discovery pipeline.
Emily Chen, PhD, Sr. Director, Precision Medicine Science Center, Thermo Fisher Scientific, Cambridge, MA
Emily received her Ph.D in Molecular Pathology from UCSD in 2002 investigating specificity of metalloproteinases in breast cancer metastasis using phage display libraries. As a postdoctoral fellow she began studying molecular mechanism of tumor suppressor genes and breast cancer metastasis using shotgun proteomics. In 2009, she joined Stony Brook School of Medicine and then joined Columbia University School of Medicine in 2013 as an independent investigator and as the director of proteomics shared resource to support mass spectrometry-based analysis. She has extensive publications on applying proteomics technology to study basic biology and translational biomarker discovery using patient samples. In 2018, she joined Thermo Fisher as the Sr. director of the Precision Medicine Science Center in Cambridge MA.
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