Search Thermo Fisher Scientific
Search Thermo Fisher Scientific
Break free from the time, cost, and complexity of manual proteomics sample preparation. This webinar discusses the challenges of automated proteomics sample preparation and what is needed to overcome these so that scientists can achieve high-quality experimental results and focus their time on more valuable tasks. Attributes such as ease-of-use, experimental design, flexible workflows, and integration into existing proteomics infrastructure will be discussed.
Plus, learn how automated proteomics sample preparation has optimized the pipeline of samples for mass spectrometry analysis at a biopharmaceutical company, Genentech, as well as for clinical research applications at the Mayo Clinic.
Key learning objectives
Taylur Ma
Scientist, Genentech, Inc.
Taylur Ma has worked at Genentech, within the department of Microchemistry, Proteomics, Lipidomics and Next Generation Sequencing (MPL-NGS) for the past 11 years. The MPL-NGS department collaborates with researchers in therapeutic areas to understand which proteins and pathways are important for therapy development.
Dong-Gi Mun
Research Associate, Mayo Clinic
Dong-Gi Mun joined Dr. Akhilesh Pandey’s lab at the Mayo Clinic in 2018. For the past 4 years, he has focused on the development of proteomics technologies that can provide novel insights on biological questions from various types of clinical samples. He became aware of the limitations of the current platforms when processing large numbers of clinical samples. This has led him to investigate automation platforms to increase analytical throughput and reproducibility in sample preparation both for label-free and TMT-based multiplexing approaches.
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