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LC/QQQ
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High Throughput Workflows for Targeted Proteomics on QTOFs and QQQ

RECORD | Already taken place We, 27.10.2021
In this talk we explore high throughput techniques to do targeted proteomics. We will discuss peptide optimization with the Agilent optimization software and integrating Rapid Fire into the workflows.
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Agilent Technologies: High Throughput Workflows for Targeted Proteomics on QTOFs and QQQ
Agilent Technologies: High Throughput Workflows for Targeted Proteomics on QTOFs and QQQ

Presenter: Caroline Chu (LC/MS Application Scientist, Agilent Technologies, Inc.)

Caroline is an LC/MS Application Scientist with Agilent with over 7 years experience supporting the LC-Q/TOF, QQQ, and IM-QTOF MS and automation, including AssayMap and Rapid Fire. Her focus is on BioPharma applications including intact proteins, native MS, glycomics, high-throughput screening and life science applications including proteomics, targeted proteomics and metabolomics.

Prior to joining Agilent she completed her undergraduate work at San Francisco State University in Biochemistry before moving on to her Ph.D in Biophysics at the University of California, Davis, working on clinical glycomics with high resolution MS, under the guidance of Professor Carlito Lebrilla. She completed her post-doctoral work at the Institute for Systems Biology in Seattle, WA working targeted proteomics on the human proteome under the guidance of Robert Moritz and in collaboration with Lee Hood and Ruedi Abersold.

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