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)
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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)].
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.
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.
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.
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.
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