Dear Jeannette ,

Check out our latest WCMC Newsletter!

- WCMC Outreach Core

The next Bits & Bites are great for anyone who wants to gain a deeper insight into GC-MS in Metabolomics coming up on Nov 3, 2022: Fundamentals of Gas Chromatography-MS in Metabolomics with Dr. Oliver Fiehn, Dr. Uri Keshet, and Luis Vladiviez -  UC Davis.

Save the date & register for our last Bits & Bites course of 2022:

• Dec 1, 2022: How to navigate demands in Metabolomics core services with Dr. Oliver Fiehn, UC Davis

This 9-part short course series will feature in-depth topics in untargeted metabolomics so that participants can gain a deeper insight into current technologies, methods, and software. Next year we have 2 new courses, Imaging Mass Spectrometry 101: Sample Preparation and Metabolomics for Epidemiologists along with many courses that are returning back by popular demand.

Get an EARLY BIRD SPECIAL by signing up for all 9-bites by 1/1/2023!

January 26, 2023:

Fundamental of Lipidomics

Dr. Tong Shen, UC Davis

February 9, 2023:

Introduction to the GNPS Ecosystem - Tools, Visualizations, and Data

Dr. Mingxun Wang, UC Riverside

April 27, 2023:

Imaging Mass Spectrometry 101: Sample Preparation

Dr. Elizabeth Neumann, UC Davis

May 25, 2023:

Using MS-DIAL to generate accurate comprehensive LC-MS/MS metabolomics datasets

Dr. Jacob Folz, ETH Zurich

September 7, 2023:

Identification of unknown compounds in untargeted metabolomics using freely available software

Dr. Arpana Vaniya, UC Davis

October 5, 2023:

Mass Spectrometry for Metabolomics

Dr. Uri Keshet, UC Davis

November 2, 2023:

Introduction to Metaboanalyst

Dr. Jianguo (Jeff) Xia, McGill University

November 16, 2023:

Fundamentals of GC-MS in Metabolomics

Dr. Oliver Fiehn, UC Davis

December 7, 2023:

Metabolomics for Epidemiologists

Dr. Oliver Fiehn, UC Davis

Date: March 20 - 24, 2023

Virtual Instructor-Led Course (Online)

This 1-week course will feature hands-on training with real-world untargeted metabolomics data covering LC-MS data processing, compound identification, statistical analysis, network mapping, & data interpretation, including:

• Untargeted data processing and exercises on MS-DIAL.
• Exercises in the identification of unknowns by cheminformatics software workflows
• Data normalization and transformation with and without internal standards and quality controls
• Multivariate and univariate statistics 
• Pathway mapping and enrichment analysis

• Wang, S., et al. "Beyond the Ground State: Predicting Electron Ionization Mass Spectra Using Excited-State Molecular Dynamics." Journal of Chemical Information and Modeling (2022).
• Haas, D., Thamm, A. M., Sun, J., Huang, L., Sun, L., Beaudoin, G. A., ... & de Crécy-Lagard, V. (2022). "Metabolite Damage and Damage Control in a Minimal Genome." Mbio, 13(4), e01630-22.
• Leong, B. J., Folz, J. S., Bathe, U., Clark, D. G., Fiehn, O., & Hanson, A. D. (2022). "Fluoroacetate distribution, response to fluoridation, and synthesis in juvenile Gastrolobium bilobum plants." Phytochemistry, 202, 113356.
• Campos, J. V., Riquelme, S., Pecio, Ł., Guedes, L., Mardones, C., Alzamora, R., ... & Pérez, A. J. (2022). "Constitutive and inducible defense in Eucalyptus determines the feeding host of Gonipterus platensis, denoting specific plant-insect coevolution and a strategy for resistance improvement." Industrial Crops and Products, 189, 115811.