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Network-Based Protein Biomarker Discovery Platforms

Title
Network-Based Protein Biomarker Discovery Platforms
Authors
황대희김민형
DGIST Authors
황대희
Issue Date
2016
Citation
Genomics & Informatics, 14(1), 2-11
Type
Article
Keywords
biomarkersLC-MS/MSnetwork analysisproteomics
ISSN
1598-866X
Abstract
The advances in mass spectrometry-based proteomics technologies have enabled the generation of global proteome datafrom tissue or body fluid samples collected from a broad spectrum of human diseases. Comparative proteomic analysis ofglobal proteome data identifies and prioritizes the proteins showing altered abundances, called differentially expressedproteins (DEPs), in disease samples, compared to control samples. Protein biomarker candidates that can serve as indicatorsof disease states are then selected as key molecules among these proteins. Recently, it has been addressed that cellularpathways can provide better indications of disease states than individual molecules and also network analysis of the DEPsenables effective identification of cellular pathways altered in disease conditions and key molecules representing the alteredcellular pathways. Accordingly, a number of network-based approaches to identify disease-related pathways andrepresentative molecules of such pathways have been developed. In this review, we summarize analytical platforms fornetwork-based protein biomarker discovery and key components in the platforms.
URI
http://hdl.handle.net/20.500.11750/4891
DOI
10.5808/GI.2016.14.1.2
Publisher
한국유전체학회
Related Researcher
  • Author Hwang, Dae Hee Systems Biology and Medicine Lab
  • Research Interests Multilayered spatiotemporal networks; Regulatory motifs or pathways; Metabolite-protein networks; Network stochasticity; Proteomics and informatics
Files:
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Collection:
Department of New BiologySystems Biology and Medicine Lab1. Journal Articles


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