CamsPaMS: Skyline Course with Mike MacCoss

CamsPaMS: Skyline Course with Mike MacCoss

By Cambridge Proteomics and Mass Spectrometry

Join us on the morning of CamsPaMS3 for an introductory course on using Skyline for MS data analysis from its lead developer

Date and time

Location

The Discovery Centre (DISC) - AstraZeneca PLC

1 Francis Crick Avenue Trumpington CB2 0AA United Kingdom

Good to know

Highlights

  • 3 hours
  • In person

About this event

Science & Tech • Science

We are excited to be hosting a short introductory course on how to use the powerful skyline software, delivered by Prof. Mike MacCoss, Principal Developer of Skyline.

Please note: registration is separate to the main meeting and essential for both due to restricted capacity (Main meeting registration here).

Due to limited space on the course, we are requesting a short ~100 word motivation statement (optional) so we can prioritise if we are over-subscribed.

Course details: "Case Study in Biofluid Proteomics"

Quantitative proteomics experiments are complicated. In this workshop, we will design an experiment for the analysis of CSF with the goal of identifying proteins that are specific to Alzheimer’s disease dementia. We will consider samples from patients with different neurodegenerative diseases to derive a signature that is specific for Alzheimer’s disease. We will discuss quality control procedures to ensure that 1) the system is working properly, 2) the samples were prepared appropriately, and 3) that we can trust the quantitative data analysis. The workshop will involve a discussion about randomized block design, sample preparation strategies, and mass spectrometry strategies for the data acquisition. The experiment design will also be discussed while considering the data analysis. Participants will learn to use Skyline and Panorama to evaluate the quality of the processed data. We will discuss options for the analysis of the results and options for validation experiments.

Organized by

Cambridge Proteomics and Mass Spectrometry

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Free
Sep 18 · 9:00 AM GMT+1