Growing trend of CE at the omics level: The frontier of systems biology

Authors
Oh, EulsikHasan, Md. NabiulJamshed, MuhammadPark, Soo HyunHong, Hye-MinSong, Eun JooYoo, Young Sook
Issue Date
2010-01
Publisher
WILEY
Citation
ELECTROPHORESIS, v.31, no.1, pp.74 - 92
Abstract
In a novel attempt to comprehend the complexity of life, systems biology has recently emerged as a state-of-the-art approach for biological research in contrast to the reductionist approaches that have been used in molecular cell biology since the 1950s. Because a massive amount of information is required in many systems biology studies of life processes, we have increasingly come to depend on techniques that provide high-throughput omics data. CE and CE coupled to MS have served as powerful analytical tools for providing qualitative and quantitative omics data. Recent systems biology studies have focused strongly on the diagnosis and treatment of diseases. The increasing number of clinical research papers on drug discovery and disease therapies reflects this growing interest among scientists. Since such clinical research reflects one of the ultimate purposes of bioscience, these trends will be sustained for a long time. Thus, this review mainly focuses on the application of CE and CE-MS in diagnosis as well as on the latest CE methods developed. Furthermore, we outline the new challenges that arose in 2008 and later in elucidating the system-level functions of the bioconstituents of living organisms.
Keywords
CAPILLARY-ZONE-ELECTROPHORESIS; INDUCED FLUORESCENCE DETECTION; FLIGHT-MASS-SPECTROMETRY; SINGLE-NUCLEOTIDE POLYMORPHISM; GENERATION SEQUENCING TECHNOLOGIES; PROTEIN-DNA INTERACTIONS; CHRONIC KIDNEY-DISEASE; LOCUS VNTR ANALYSIS; ARRAY ELECTROPHORESIS; BIOMARKER DISCOVERY; CAPILLARY-ZONE-ELECTROPHORESIS; INDUCED FLUORESCENCE DETECTION; FLIGHT-MASS-SPECTROMETRY; SINGLE-NUCLEOTIDE POLYMORPHISM; GENERATION SEQUENCING TECHNOLOGIES; PROTEIN-DNA INTERACTIONS; CHRONIC KIDNEY-DISEASE; LOCUS VNTR ANALYSIS; ARRAY ELECTROPHORESIS; BIOMARKER DISCOVERY; CE; Omics; Systems biology
ISSN
0173-0835
URI
https://pubs.kist.re.kr/handle/201004/131801
DOI
10.1002/elps.200900410
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KIST Article > 2010
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