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2016 ; 14
(1
): 2-11
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Network-Based Protein Biomarker Discovery Platforms
#MMPMID27103885
Kim M
; Hwang D
Genomics Inform
2016[Mar]; 14
(1
): 2-11
PMID27103885
show ga
The advances in mass spectrometry-based proteomics technologies have enabled the
generation of global proteome data from tissue or body fluid samples collected
from a broad spectrum of human diseases. Comparative proteomic analysis of global
proteome data identifies and prioritizes the proteins showing altered abundances,
called differentially expressed proteins (DEPs), in disease samples, compared to
control samples. Protein biomarker candidates that can serve as indicators of
disease states are then selected as key molecules among these proteins. Recently,
it has been addressed that cellular pathways can provide better indications of
disease states than individual molecules and also network analysis of the DEPs
enables effective identification of cellular pathways altered in disease
conditions and key molecules representing the altered cellular pathways.
Accordingly, a number of network-based approaches to identify disease-related
pathways and representative molecules of such pathways have been developed. In
this review, we summarize analytical platforms for network-based protein
biomarker discovery and key components in the platforms.