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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2016.1
- 수록면
- 2 - 11 (10page)
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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.
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참고문헌 (68)
참고문헌 신청
Biomarkers Definitions Working Gruop / 2001 / Biomarkers and surrogate endpoints: preferred definitions and conceptual framework / Clin Pharmacol Ther 69:89~95
Hawkridge AM / 2009 / Mass spectrometry-based biomarker discovery: toward a global proteome index of individuality / Annu Rev Anal Chem (Palo Alto Calif) 2:265~277
Aebersold R / 2005 / Perspective: a program to improve protein biomarker discovery for cancer / J Proteome Res 4:1104~1109
Li D / 2014 / Proteomic cancer biomarkers from discovery to approval: it's worth the effort / Expert Rev Proteomics 11:135~136
Frantzi M / 2014 / Clinical proteomic biomarkers:relevant issues on study design & technical considerations in biomarker development / Clin Transl Med 3:7
Hawkridge AM / 2009 / Mass spectrometry-based biomarker discovery: toward a global proteome index of individuality / Annu Rev Anal Chem (Palo Alto Calif) 2:265~277
Aebersold R / 2005 / Perspective: a program to improve protein biomarker discovery for cancer / J Proteome Res 4:1104~1109
Li D / 2014 / Proteomic cancer biomarkers from discovery to approval: it's worth the effort / Expert Rev Proteomics 11:135~136
Frantzi M / 2014 / Clinical proteomic biomarkers:relevant issues on study design & technical considerations in biomarker development / Clin Transl Med 3:7
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