Literature DB >> 17892372

High-throughput proteomics using antibody microarrays: an update.

Carl A K Borrebaeck1, Christer Wingren.   

Abstract

Antibody-based microarrays are a rapidly emerging technology that has advanced from the first proof-of-concept studies to demanding serum protein profiling applications during recent years, displaying great promise within disease proteomics. Miniaturized micro- and nanoarrays can be fabricated with an almost infinite number of antibodies carrying the desired specificities. While consuming only minute amounts of reagents, multiplexed and ultrasensitive assays can be performed targeting high- as well as low-abundance analytes in complex nonfractionated proteomes. The microarray images generated can then be converted into protein expression profiles or protein atlases, revealing a detailed composition of the sample. The technology will provide unique opportunities for fields such as disease diagnostics, biomarker discovery, patient stratification, predicting disease recurrence and drug target discovery. This review describes an update of high-throughput proteomics, using antibody-based microarrays, focusing on key technological advances and novel applications that have emerged over the last 3 years.

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Year:  2007        PMID: 17892372     DOI: 10.1586/14737159.7.5.673

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  25 in total

1.  Reno: regularized non-parametric analysis of protein lysate array data.

Authors:  Bin Li; Feng Liang; Jianhua Hu; And Xuming He
Journal:  Bioinformatics       Date:  2012-03-30       Impact factor: 6.937

2.  Porphyrin-based photocatalytic nanolithography: a new fabrication tool for protein arrays.

Authors:  Jane P Bearinger; Gary Stone; Lawrence C Dugan; Bassem El Dasher; Cheryl Stockton; James W Conway; Tobias Kuenzler; Jeffrey A Hubbell
Journal:  Mol Cell Proteomics       Date:  2009-04-29       Impact factor: 5.911

Review 3.  Antibody array-based technologies for cancer protein profiling and functional proteomic analyses using serum and tissue specimens.

Authors:  Marta Sanchez-Carbayo
Journal:  Tumour Biol       Date:  2010-01-21

4.  Molecular serum portraits in patients with primary breast cancer predict the development of distant metastases.

Authors:  Anders Carlsson; Christer Wingren; Malin Kristensson; Carsten Rose; Mårten Fernö; Håkan Olsson; Helena Jernström; Sara Ek; Elin Gustavsson; Christian Ingvar; Mattias Ohlsson; Carsten Peterson; Carl A K Borrebaeck
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-15       Impact factor: 11.205

5.  Serum protein profiling of systemic lupus erythematosus and systemic sclerosis using recombinant antibody microarrays.

Authors:  Anders Carlsson; Dirk M Wuttge; Johan Ingvarsson; Anders A Bengtsson; Gunnar Sturfelt; Carl A K Borrebaeck; Christer Wingren
Journal:  Mol Cell Proteomics       Date:  2011-02-24       Impact factor: 5.911

Review 6.  Microproteomics: analysis of protein diversity in small samples.

Authors:  Howard B Gutstein; Jeffrey S Morris; Suresh P Annangudi; Jonathan V Sweedler
Journal:  Mass Spectrom Rev       Date:  2008 Jul-Aug       Impact factor: 10.946

7.  Knowledge-based data analysis comes of age.

Authors:  Michael F Ochs
Journal:  Brief Bioinform       Date:  2009-10-23       Impact factor: 11.622

Review 8.  Emerging affinity-based techniques in proteomics.

Authors:  Shengnan Xie; Colby Moya; Betul Bilgin; Arul Jayaraman; S Patrick Walton
Journal:  Expert Rev Proteomics       Date:  2009-10       Impact factor: 3.940

9.  Development of fluorescent polymerization-based signal amplification for sensitive and non-enzymatic biodetection in antibody microarrays.

Authors:  Heather J Avens; Christopher N Bowman
Journal:  Acta Biomater       Date:  2009-06-07       Impact factor: 8.947

Review 10.  Glycoprotein analysis using protein microarrays and mass spectrometry.

Authors:  Tasneem Patwa; Chen Li; Diane M Simeone; David M Lubman
Journal:  Mass Spectrom Rev       Date:  2010 Sep-Oct       Impact factor: 10.946

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