Original language | English |
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Title of host publication | Encyclopedia of bioinformatics and computational biology |
Subtitle of host publication | ABC of Bioinformatics |
Editors | Mario Cannataro, Bruno Gaeta, Mohammad Asif Khan |
Place of Publication | Amsterdam; Oxford; Cambridge |
Publisher | Elsevier |
Pages | 891-910 |
Number of pages | 20 |
Volume | 3 |
ISBN (Electronic) | 9780128114322 |
ISBN (Print) | 9780128114148 |
DOIs | |
Publication status | Published - 2019 |
Abstract
Living organisms maintain life through a complex array of protein networks which, when disturbed, lead to disease or eventual death. The key challenge for biomedical researchers endeavouring to track and understand these biological landscapes is identifying protein markers that are unique to a disease state. This can be achieved by various tools and techniques within the field of proteomics. This article explores IPG-IEF as a means for identifying differentially expressed proteins and summarises commonly utilised fractionation methods and workflows. IPG-IEF enables researchers to drill deeper into the observable proteome to identify potential disease-specific markers which may be validated by orthogonal quantification methods such as ELISA, SRM, MRM or SWATH.
Keywords
- Cancer
- Disease
- IPG-IEF
- Label-free
- Low-abundance
- Mass spectrometry
- Profiling
- Proteomics
- Strategies