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Introduction to metabolomics and its application in life-sciences

Description

The goal of metabolomics is to identify and quantify the complete biochemical composition of a biological sample. With the increase in genomic, transcriptomic and proteomic information there is a growing need to understand the metabolic phenotype that these genes and proteins ultimately control.

The aim of this course is to provide an overview of metabolomics and its applications in life sciences, clinical and environmental settings. Over 2 days we will introduce different techniques used to extract metabolites and analyse samples to collect metabolomic data (such as HPLC, or GC-based MS and NMR), present how to analyse such data, how to identify metabolites using online databases and how to map the metabolomic data to metabolic pathways.

The course content will predominantly be based on analysing samples from model plant species such as Arabidopsis thaliana but the procedures are transferable to all other organisms, including clinical and environmental settings.
 

Prerequisites

This course is aimed at researchers with an interest in metabolomics and its applications.

 

For additional information, follow this link.

 

Timetable

Day 1

9:30-10:30

Introduction to metabolomics: what it can and cannot do

Reza Salek / Matt Davey

10:30-10:45

Question and coffee break

 

10:45-12:15

Application of NMR in metabolomics

Reza Salek

12:15-13:15

Lunch

 

13:15-14:15

Targeted and untargeted metabolomics introduction

Alex Murphy

14:15-15:30

How to identify one metabolite practical (online prac)

Matt Davey

15:30-15:45

Coffee break

 

15:45-17:00

Quantifying metabolites (online practical)

Alex Murphy

Day 2

9:30-11:15

Pathway Analysis theory and practical

Matt Davey

11:15-11:30

Coffee break

 

11:30-12:30

Metabolomics databases and resource (e.g. MetaboLights)

Reza Salek

12:30-13:30

Lunch

 

13:30-15:00

From simple statistics to multivariate stats + online practical

Matt Davey

15:00-18:00

Study Design and Data clinic (sign up required)

Matt and Alex

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