Literature DB >> 20663466

Proteomic technologies for the discovery of type 1 diabetes biomarkers.

Wenbo Zhi1, Sharad Purohit, Colleen Carey, Meiyao Wang, Jin-Xiong She.   

Abstract

In this review, we discuss several important issues concerning the discovery of protein biomarkers for complex human diseases, with a focus on type 1 diabetes. Serum or plasma is the first choice of specimen due to its richness in biological information and relatively easy availability. It is a challenging task to comprehensively characterize the serum/plasma proteome because of the large dynamic range of protein concentration. Therefore, sample pretreatment is required in order to explore the low- to medium-abundance proteins contained in serum/plasma. In this regard, enrichment of low-abundance proteins using random hexapeptide library beads has distinct advantages over the traditional immune-depletion methods, including higher efficiency, higher binding capacity, and lower cost. In-depth mining of serum/plasma proteome using different separation techniques have also been evaluated and are discussed in this review. Overall, the shotgun proteomics-multidimensional separation of digested peptides followed by mass spectrometry analysis--is highly efficient and therefore has become a preferred method for protein biomarker discovery. 2010 Diabetes Technology Society.

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Year:  2010        PMID: 20663466      PMCID: PMC2909534          DOI: 10.1177/193229681000400431

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  31 in total

1.  Multidimensional proteomics of human serum using parallel chromatography of native constituents and microplate technology.

Authors:  Anton Horn; Stefan Kreusch; Renate Bublitz; Horst Hoppe; Gerhard A Cumme; Margarete Schulze; Thomas Moore; Günter Ditze; Heidrun Rhode
Journal:  Proteomics       Date:  2006-01       Impact factor: 3.984

2.  Comparative evaluation of mass spectrometry platforms used in large-scale proteomics investigations.

Authors:  Joshua E Elias; Wilhelm Haas; Brendan K Faherty; Steven P Gygi
Journal:  Nat Methods       Date:  2005-09       Impact factor: 28.547

3.  Evaluation of multiprotein immunoaffinity subtraction for plasma proteomics and candidate biomarker discovery using mass spectrometry.

Authors:  Tao Liu; Wei-Jun Qian; Heather M Mottaz; Marina A Gritsenko; Angela D Norbeck; Ronald J Moore; Samuel O Purvine; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2006-07-19       Impact factor: 5.911

Review 4.  Proteomics-driven cancer biomarker discovery: looking to the future.

Authors:  Richard J Simpson; Oliver K Bernhard; David W Greening; Robert L Moritz
Journal:  Curr Opin Chem Biol       Date:  2008-03-11       Impact factor: 8.822

5.  Quantitative analysis of proteome coverage and recovery rates for upstream fractionation methods in proteomics.

Authors:  Yuan Fang; Dale P Robinson; Leonard J Foster
Journal:  J Proteome Res       Date:  2010-04-05       Impact factor: 4.466

6.  Combinatorial hexapeptide ligand libraries (ProteoMiner): an innovative fractionation tool for differential quantitative clinical proteomics.

Authors:  Sonja Hartwig; Akos Czibere; Jorg Kotzka; Waltraud Passlack; Rainer Haas; Jürgen Eckel; Stefan Lehr
Journal:  Arch Physiol Biochem       Date:  2009-07       Impact factor: 4.076

7.  Proteome analysis of serum from type 2 diabetics with nephropathy.

Authors:  Hyun-Jung Kim; Eun-Hee Cho; Ji-Hye Yoo; Pan-Kyeom Kim; Jun-Seop Shin; Mi-Ryung Kim; Chan-Wha Kim
Journal:  J Proteome Res       Date:  2007-02       Impact factor: 4.466

Review 8.  Proteomic approaches for serum biomarker discovery in cancer.

Authors:  Priyanka Maurya; Paula Meleady; Paul Dowling; Martin Clynes
Journal:  Anticancer Res       Date:  2007 May-Jun       Impact factor: 2.480

9.  Multidimensional liquid phase protein separations in conjunction with stable isotope labelling for quantitative proteomics.

Authors:  Bobby F Assiddiq; James C Williamson; Ambrosius P L Snijders; Ken Cook; Mark J Dickman
Journal:  Proteomics       Date:  2007-11       Impact factor: 3.984

10.  Comparison of extensive protein fractionation and repetitive LC-MS/MS analyses on depth of analysis for complex proteomes.

Authors:  Huan Wang; Tony Chang-Wong; Hsin-Yao Tang; David W Speicher
Journal:  J Proteome Res       Date:  2010-02-05       Impact factor: 4.466

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  10 in total

Review 1.  Blood-based signatures in type 1 diabetes.

Authors:  Susanne M Cabrera; Yi-Guang Chen; William A Hagopian; Martin J Hessner
Journal:  Diabetologia       Date:  2015-12-23       Impact factor: 10.122

Review 2.  Novel biomarkers in type 1 diabetes.

Authors:  Yulan Jin; Jin-Xiong She
Journal:  Rev Diabet Stud       Date:  2012-12-28

3.  Peripheral blood monocyte-expressed ANXA2 gene is involved in pathogenesis of osteoporosis in humans.

Authors:  Fei-Yan Deng; Shu-Feng Lei; Yan Zhang; Yu-Ling Zhang; Yan-Peng Zheng; Li-Shu Zhang; Rong Pan; Lili Wang; Qing Tian; Hui Shen; Ming Zhao; Yunxia Wang Lundberg; Yao-Zhong Liu; Christopher J Papasian; Hong-Wen Deng
Journal:  Mol Cell Proteomics       Date:  2011-08-04       Impact factor: 5.911

4.  Discovery and validation of serum protein changes in type 1 diabetes patients using high throughput two dimensional liquid chromatography-mass spectrometry and immunoassays.

Authors:  Wenbo Zhi; Ashok Sharma; Sharad Purohit; Eric Miller; Bruce Bode; Stephen W Anderson; John Chip Reed; R Dennis Steed; Leigh Steed; Diane Hopkins; Jin-Xiong She
Journal:  Mol Cell Proteomics       Date:  2011-09-06       Impact factor: 5.911

5.  Advances and challenges in biomarker development for type 1 diabetes prediction and prevention using omic technologies.

Authors:  Colleen Carey; Sharad Purohit; Jin-Xiong She
Journal:  Expert Opin Med Diagn       Date:  2010-09-01

Review 6.  Serum biomarkers for diagnosis and prediction of type 1 diabetes.

Authors:  Lian Yi; Adam C Swensen; Wei-Jun Qian
Journal:  Transl Res       Date:  2018-08-01       Impact factor: 7.012

7.  Large-Scale Discovery and Validation Studies Demonstrate Significant Reductions in Circulating Levels of IL8, IL-1Ra, MCP-1, and MIP-1β in Patients With Type 1 Diabetes.

Authors:  Sharad Purohit; Ashok Sharma; Diane Hopkins; Leigh Steed; Bruce Bode; Stephen W Anderson; John Chip Reed; R Dennis Steed; Tao Yang; Jin-Xiong She
Journal:  J Clin Endocrinol Metab       Date:  2015-07-09       Impact factor: 5.958

Review 8.  Proteomics and systems biology for understanding diabetic nephropathy.

Authors:  Jonathan M Starkey; Ronald G Tilton
Journal:  J Cardiovasc Transl Res       Date:  2012-05-12       Impact factor: 4.132

Review 9.  Luminex and other multiplex high throughput technologies for the identification of, and host response to, environmental triggers of type 1 diabetes.

Authors:  Sharad Purohit; Ashok Sharma; Jin-Xiong She
Journal:  Biomed Res Int       Date:  2015-03-25       Impact factor: 3.411

Review 10.  Farm animal serum proteomics and impact on human health.

Authors:  Francesco Di Girolamo; Alfonsina D'Amato; Isabella Lante; Fabrizio Signore; Marta Muraca; Lorenza Putignani
Journal:  Int J Mol Sci       Date:  2014-09-01       Impact factor: 5.923

  10 in total

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