Quantitative proteomics: the numbers that count

The new chapter of SCIEX high-resolution accurate mass systems introduces a whole new level of proteomic depth, sensitivity and speed that can only be possible using Zeno trap enabled technology. As leaders in quantitation, we understand the importance of precision and accurate mass in furthering our understanding of disease mechanisms and biological diversity to offer clinical solutions. Translate experimental insights into actionable biology for the real world.

Visit SCIEX at booth 13 and join us for our 2 exclusive events:

SCIEX welcome party

Sunday, October 20 | 20:00 | Felix Restaurant

With extraordinary science come extraordinary events

Join the SCIEX team for an unforgettable night in the heart of Dresden's old town and come explore the numbers that count. Mix and mingle over drinks and late-night bites as we kick off the start of the congress with this exclusive social. 

SCIEX lunch seminar

Monday, October 21 | 12:15 – 13:15 | Plenary Hall

Enhancing quantitative proteomics: EAD and ZT Scan DIA

Discover new innovations in quantitation that deliver when it really matters. Learn from our guest speakers about a new era of proteomics which capitalizes on quantitative accuracy without sacrificing proteomic depth, coverage and speed.

• Quantitative site-specific glycoproteomics by ZenoTOF 7600 system reveals glyco-signatures for breast cancer diagnosis, presented by Prof. Liang Qiao, PhD, Department of Chemistry, Fudan University

• ZT Scan DIA for sensitive and quantitative proteomics at high throughput, presented by Ludwig Roman Sinn, PhD, Ralser and Demichev Labs, Charité - Universitätsmedizin Berlin

• First impressions of ZT Scan DIA, presented by Tim Heymann, PhD, Mann Lab, Max Planck Institute of Biochemistry

Find out more about SCIEX innovations in quantitative proteomics during the poster sessions.

_{* Seats are limited, so make sure you register early.}

_{* The distance to Felix Restaurant is 1.0 km from the ICD (International Congress Center Dresden). This will take approximately 14 minutes for those walking or 3 minutes for by car.}