CRISPR-Cas9 gene editing is an essential functional genomics tool, facilitating the cataloging of genomic variations linked to human diseases for the discovery and validation of novel drug targets.

Mass spectrometry (MS)-based omics technologies have revolutionized our understanding of molecular changes in organisms and are crucial for studying metabolism and related diseases through lipidomics and metabolomics. Despite significant advances, there is still a need for robust analytical methodologies in data acquisition, data processing and annotation.
This webinar will demonstrate how LC-Zeno SWATH DIA outperforms conventional DDA in annotating metabolites and lipids in the model organism Gammarus fossarum. Additionally, the presentation will showcase the effectiveness of electron activated dissociation (EAD) in characterizing lipid species and elucidating metabolite isomers. Finally, the webinar will illustrate how EAD and high-resolution targeted approaches improve structural elucidation and molecular network construction.

In part three of this webinar series, learn how to achieve long-term, high-matrix sample analysis with optimized throughput, ease of use, and advanced interference removal.

In part four of this webinar series, experts will share tips and tricks for successful ICP-MS method development and daily operation. Topics will cover essential strategies for effective day-to-day operation, ensuring consistent, accurate results, and efficient workflows.

As proteomics platforms have advanced, the number of proteins measured and sample throughput have dramatically increased. However, have sacrifices or trade-offs been necessary to make these gains?

This webinar series explores best practices and innovations in ICP-MS, including sample digestion and automation, to enhance accuracy and productivity. In Part 1, Michael Howe, Sr. Project Manager at CEM Corporation, will discuss a cutting-edge microwave digestion system that significantly accelerates sample preparation, ensuring clear digestions and maximum analyte recovery.