Application of a peptide-based PF2D platform for quantitative proteomics in disease biomarker discovery

Hyoung Joo Lee; Min Jeong Kang; Eun Young Lee; Yun Cho Sang; Hoguen Kim; Young Ki Paik

doi:10.1002/pmic.200800111

Application of a peptide-based PF2D platform for quantitative proteomics in disease biomarker discovery

Hyoung Joo Lee, Min Jeong Kang, Eun Young Lee, Yun Cho Sang, Hoguen Kim, Young Ki Paik

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

35 Citations (Scopus)

Abstract

A peptide-based 2-D liquid phase fractionation (PF2D) system was used in a quantitative proteomic analysis of hepatocellular carcinoma. 2-D liquid maps of peptide specimens showed better resolution than those of proteins, leading to the identification of differentially expressed proteins. Peptide-based PF2D gave well-matched theoretical and experimental pI values and was proven to be a very efficient and versatile analytical tool for both large-scale profiling and quantification of phosphoproteins in disease biomarker discovery.

Original language	English
Pages (from-to)	3371-3381
Number of pages	11
Journal	Proteomics
Volume	8
Issue number	16
DOIs	https://doi.org/10.1002/pmic.200800111
Publication status	Published - 2008 Aug

All Science Journal Classification (ASJC) codes

Biochemistry
Molecular Biology

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10.1002/pmic.200800111

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abstract = "A peptide-based 2-D liquid phase fractionation (PF2D) system was used in a quantitative proteomic analysis of hepatocellular carcinoma. 2-D liquid maps of peptide specimens showed better resolution than those of proteins, leading to the identification of differentially expressed proteins. Peptide-based PF2D gave well-matched theoretical and experimental pI values and was proven to be a very efficient and versatile analytical tool for both large-scale profiling and quantification of phosphoproteins in disease biomarker discovery.",

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AU - Sang, Yun Cho

AU - Kim, Hoguen

AU - Paik, Young Ki

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Application of a peptide-based PF2D platform for quantitative proteomics in disease biomarker discovery

Abstract

All Science Journal Classification (ASJC) codes

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