Methods for plasma proteomics at large scale and high-throughput
The presentation highlights the integration of advanced proteomics technologies, particularly mass spectrometry, into clinical research and diagnostics. It covers the development of workflows for molecular profiling, emphasizing automated sample preparation and high-throughput data analysis.
The speaker discusses the benefits of new instruments like the Astral Orbitrap and Vanquish Neo, which offer high resolution and dynamic range, making them suitable for large-scale studies.
The presentation showcases case studies demonstrating the application of proteomics in understanding diseases, such as lung cancer and multiple myeloma, and the potential for personalized medicine. It also addresses the importance of robust data acquisition, normalization techniques, and the use of machine learning to enhance the analysis. Overall, the presentation underscores the transformative impact of integrating proteomics into clinical practice, aiming for improved diagnostic precision and treatment outcomes.
Learning points:
- Advanced Proteomics Technologies: Gain insights into the latest proteomics instruments and workflows, such as the Astral Orbitrap and Vanquish Neo, for high-resolution and dynamic range studies.
- Clinical Applications and Case Studies: Learn how proteomics is applied in clinical settings to understand diseases like lung cancer and multiple myeloma, and its role in personalized medicine.
- Data Analysis and Machine Learning: Understand the importance of robust data acquisition, normalization techniques, and the application of machine learning to enhance the analysis and interpretation of proteomics data.
Who should attend?
- Clinical Researchers: Those focused on integrating advanced proteomics into clinical diagnostics and personalized medicine.
- Oncologists and Cancer Researchers: Professionals interested in molecular profiling and understanding disease mechanisms in cancer.
- Data Scientists in Healthcare: Individuals looking to apply machine learning to enhance proteomics data analysis and improve diagnostic accuracy.
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Presenter: Dr. Michael Mülleder (Head of Core Facility - High Throughput Mass Spectrometry, Charité – Universitätsmedizin Berlin)
Head of Core Facility - High Throughput Mass Spectrometry, Master's in Molecular Biology Uni Salzburg, PhD in Biochemistry from Uni Cambridge, Postdoc at Francis Crick Institute
