PRE-CONGRESS TRAINING COURSES
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Pre-Recorded Presentations are now available on the platform in the Education Sessions/Pre-Congress Training Course Section. You must watch the recordings prior to the Live Days as they will not be played during the Live Days.
Based on the feedback and success of last year’s Pre-Congress Training Course Program, HUPO is very pleased to offer this unique program again to all delegates registered for HUPO 2021 ReConnect. A total of 5 training courses are planned and each course will include three one hour pre-recorded talks made available on demand two weeks prior to the live days. The recordings will not be played during the live days, instead, we use the live sessions for an engaging and interactive discussion with the lecturers and attendees.
This introductory level Protoemics Fundamentals Training course is perfect for students and researchers new to proteomics and those looking to expand their proteomic skillset.
SCHEDULE Training Courses (Live Days – 1 Hour Each)
- November 8, 2021: Proteomics 101
- November 9, 2021: Statistics and Experimental Design
- November 10, 2021: Interactomics Approaches
- November 11, 2021: Proteomics Informatics Workflows
- November 12, 2021: Biological Context and Interpretation
Start Time for Live Days
(Please view the World Clock Converter for your timezone)
- 06:00 PST (UTC-8) (ie San Francisco)
- 09:00 EST (UTC-5) (ie New York)
- 14:00 UTC/GMT (ie London)
- 15:00 CET (UTC+1) (ie Stockholm)
- 22:00 CST (UTC+8) (ie Beijing)
- 01:00 +1 Day AEDT (UTC +11) (ie Sydney)
Format
Each course consists of 3x pre-recorded 1 hour talks – released for on demand viewing by Monday, October 25.
Delegates are required to watch the pre-recordings prior to the live days. The pre-recordings will NOT be played during the live days.
Each course will have an associated forum where questions can be posed in advance of the live session.
The moderator and lecturers will address selected questions or provide additional material during the live session.
- NOV 8
- NOV 9
- NOV 10
- NOV 11
- NOV 12
Proteomics 101
Characterization of complex proteomes is the key to reveal their composition and functions. This session will present an overview of the current methodology used to identify and quantify proteins. Three experts will cover the basic principles and practice of proteomics, analytical workflows and data interpretation of mass spectrometry based proteomics, global (isotopic labeling, label-free, DIA) and targeted quantitative proteomics methods [e.g., selected reaction monitoring (SRM) and parallel reaction monitoring (PRM)].
Chairs: Marc Wilkins & Maike Langini
Pre-Recorded Talks (available as of October 25 in the Virtual Platform in the 'Education Session' area - pre-recordings must be watched in advance of the Live Days, as recordings will not be played during Live Session)
- Introduction to Proteomics and Mass Spectrometry
Lindsay Pino - From Mass Spectrum to Protein
David Tabb - Quantitative and Targeted Proteomics
Michael MacCoss
Statistics and Experimental Design
Tutorials covering statistics essential for proteomics experiments, and considerations for proteomics experimental design will be presented in this session. Attendees will learn the basics of designing a proteomics experiment for biological research and biomarker discovery, as well as issues related to analysing (large) quantitative proteomic data sets generated by data-dependent acquisition (DDA; including label-free and label-based-methods), data-independent acquisition (DIA), and targeted proteomics. The session will also cover the statistical principles for peptide and protein identification and quantification, taking into account the specific challenges of large data sets and cohorts.
Chairs: Tiannan Guo & Mathieu Lavallée-Adam
Pre-Recorded Talks (available as of October 25 in the Virtual Platform in the 'Education Session' area - pre-recordings must be watched in advance of the Live Days, as recordings will not be played during Live Session)
- Statistical Considerations for Biomarker Discovery Experiments
Meena Choi - Statistics for Peptide and Protein Identification and Quantification
Alexey I. Nesvizhskii - Experimental Design and Data-Analysis in Label-Free Quantitative LC/MS Proteomics: A Tutorial with MSqRob
Lieven Clement
Interactomics Approaches
Proteins do not function in isolation, but rather, they associate with other proteins to form complexes and interaction networks with distinct structure and composition to execute their function. Moreover, disease-causing genetic mutations may lead to alterations in protein function by modulating the interactions of the mutated proteins. Thus, a fundamental part of understanding a protein’s function in health and disease is to systematically study the proteins and other molecules that it interacts with and their dynamic changes in a cellular or disease state. Proteomics is the premier method for mapping protein-protein and protein-ligand interactions. This session will highlight approaches for identification and characterization of protein-protein interactions and complexes.
Chairs: Ileana Cristea & Ruth Hüttenhain
Pre-Recorded Talks (available as of October 25 in the Virtual Platform in the 'Education Session' area - pre-recordings must be watched in advance of the Live Days, as recordings will not be played during Live Session)
- Thermal Protein Profiling
Mikhail M Savitski - Complex Centric Proteome Profiling
Isabel Bludau - Protein-protein Interactions/Spatial Proteomics
Anne-Claude Gingras
Proteomics Informatics Workflows
Managing the informatics pipeline of a typical proteomics experiment is as important and challenging as managing the experimental and analytical workflows. This session will provide examples of large scale computational workflows for proteomics data management and analysis.
Chairs: Eric Deutsch & Cheng Chang
Pre-Recorded Talks (available as of October 25 in the Virtual Platform in the 'Education Session' area - pre-recordings must be watched in advance of the Live Days, as recordings will not be played during Live Session)
- MaxQuant and Perseus Workflows
Jürgen Cox - DIA Workflows
Brian Searle - ProteORE for Proteomics Data Interpretation in Galaxy
Yves Vandenbrouck
Biological Context and Interpretation
Large-scale proteomics experiments generate an immense amount of data that need to be comprehensively interpreted to extract biological meaning after computational/statistical analyses are completed. This crucial step is required in order to select targets for functional follow-up which could take months to years of work. More specialized mass spectrometry-based experiments (such as interactome identification) also bring specific challenges for biological interpretation. This session will focus on use of large-scale datasets for elucidation of biological function, highlighting tools and strategies that can aid in these steps.
Chair: Jennifer Geddes-McAlister & Andreas Hober
Pre-Recorded Talks (available as of October 25 in the Virtual Platform in the 'Education Session' area - pre-recordings must be watched in advance of the Live Days, as recordings will not be played during Live Session)
- Exploring the ‘Social Network’ within a Human Cell
Ed Huttlin - HPA for Proteomics Data Interpretation
Cecilia Lindskog Bergström - (Large-scale) Multi-omics Data Analysis
Johannes Griss