Literature DB >> 15020796

Serum protein-expression profiling using the ProteinChip biomarker system.

Kate Gilbert1, Sharel Figueredo, Xiao-Ying Meng, Christine Yip, Eric T Fung.   

Abstract

Protein-expression profiling of serum is a common approach to the discovery of potential diagnostic and therapeutic markers of disease. Like any other proteome, the serum proteome is characterized by protein expression across a large dynamic range. This single facet requires the employment of fractionation procedures prior to detection of protein. The authors use a combination of conventional column chromatography with array-based chromatography to simplify the serum proteome into subproteomes, thus providing a greater representation of the serum proteome. Robotics is employed to increase the throughput of sample processing. These procedures result in large amounts of data that are analyzed through a series of preprocessing and postprocessing steps. A well-designed serum profiling project can therefore result in the discovery of statistically sound, clinically meaningful protein biomarkers.

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Year:  2004        PMID: 15020796     DOI: 10.1385/1-59259-759-9:259

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  Serum amyloid A is elevated in the serum of lung cancer patients with poor prognosis.

Authors:  W C S Cho; T T Yip; W W Cheng; J S K Au
Journal:  Br J Cancer       Date:  2010-05-25       Impact factor: 7.640

2.  Quality control and quality assessment of data from surface-enhanced laser desorption/ionization (SELDI) time-of flight (TOF) mass spectrometry (MS).

Authors:  Huixiao Hong; Yvonne Dragan; Joshua Epstein; Candee Teitel; Bangzheng Chen; Qian Xie; Hong Fang; Leming Shi; Roger Perkins; Weida Tong
Journal:  BMC Bioinformatics       Date:  2005-07-15       Impact factor: 3.169

3.  Predicting early intrahepatic recurrence of hepatocellular carcinoma after microwave ablation using SELDI-TOF proteomic signature.

Authors:  Xiao-lin Cao; Hua Li; Xiao-ling Yu; Ping Liang; Bao-wei Dong; Jin Fan; Meng Li; Fang-yi Liu
Journal:  PLoS One       Date:  2013-12-13       Impact factor: 3.240

  3 in total

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