Enhanced detectability in proteome studies

Supawadee Sriyam; Supachok Sinchaikul; Payungsak Tantipaiboonwong; Ching Tzao; Suree Phutrakul; Shui Tein Chen

doi:10.1016/j.jchromb.2006.10.065

Enhanced detectability in proteome studies

Supawadee Sriyam, Supachok Sinchaikul, Payungsak Tantipaiboonwong, Ching Tzao, Suree Phutrakul, Shui Tein Chen

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

The discovery of candidate biomarkers from biological materials coupled with the development of detection methods holds both incredible clinical potential as well as significant challenges. However, the proteomic techniques still provide the low dynamic range of protein detection at lower abundances. This review describes the current development of potential methods to enhance the detection and quantification in proteome studies. It also includes the bioinformatics tools that are helpfully used for data mining of protein ontology. Therefore, we believe that this review provided many proteomic approaches, which would be very potent and useful for proteome studies and for further diagnostic and therapeutic applications.

Original language	English
Pages (from-to)	91-104
Number of pages	14
Journal	Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences
Volume	849
Issue number	1-2
DOIs	https://doi.org/10.1016/j.jchromb.2006.10.065
Publication status	Published - Apr 15 2007
Externally published	Yes

Keywords

Detection
Limitation
Proteome
Proteomic analysis
Sample preparation

ASJC Scopus subject areas

Biochemistry

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10.1016/j.jchromb.2006.10.065

Cite this

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abstract = "The discovery of candidate biomarkers from biological materials coupled with the development of detection methods holds both incredible clinical potential as well as significant challenges. However, the proteomic techniques still provide the low dynamic range of protein detection at lower abundances. This review describes the current development of potential methods to enhance the detection and quantification in proteome studies. It also includes the bioinformatics tools that are helpfully used for data mining of protein ontology. Therefore, we believe that this review provided many proteomic approaches, which would be very potent and useful for proteome studies and for further diagnostic and therapeutic applications.",

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AU - Sinchaikul, Supachok

AU - Tantipaiboonwong, Payungsak

AU - Tzao, Ching

AU - Phutrakul, Suree

AU - Chen, Shui Tein

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AB - The discovery of candidate biomarkers from biological materials coupled with the development of detection methods holds both incredible clinical potential as well as significant challenges. However, the proteomic techniques still provide the low dynamic range of protein detection at lower abundances. This review describes the current development of potential methods to enhance the detection and quantification in proteome studies. It also includes the bioinformatics tools that are helpfully used for data mining of protein ontology. Therefore, we believe that this review provided many proteomic approaches, which would be very potent and useful for proteome studies and for further diagnostic and therapeutic applications.

KW - Detection

KW - Limitation

KW - Proteome

KW - Proteomic analysis

KW - Sample preparation

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Enhanced detectability in proteome studies

Abstract

Keywords

ASJC Scopus subject areas

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