Literature DB >> 16041058

Development of an internally controlled antibody microarray.

Eric W Olle1, Arun Sreekumar, Roscoe L Warner, Shannon D McClintock, Arul M Chinnaiyan, Michael R Bleavins, Timothy D Anderson, Kent J Johnson.   

Abstract

Antibody microarrays are a high throughput technology used to concurrently screen for protein expression. Most antibody arrays currently used are based on the ELISA sandwich approach that uses two antibodies to screen for the expression of a limited number of proteins. Also because antigen-antibody interactions are concentration-dependent, antibody microarrays need to normalize the amount of antibody that is used. In response to the limitations with the currently existing technology we have developed a single antibody-based microarray where the quantity of antibody spotted is used to standardize the antigen concentration. In addition, this new array utilizes an internally controlled system where one color represents the amount of antibody spotted, and the other color represents the amount of the antigen that is used to quantify the level of protein expression. When compared with median fluorescence intensity alone, normalization for antibody spot intensity decreased variability and lowered the limits of detection. This new antibody array was tested using standard cytokine proteins and also cell lysates obtained from mouse macrophages stimulated in vitro and evaluated for the expression of the cytokine proteins interleukin (IL)-1beta, IL-5, IL-6, and macrophage inflammatory proteins 1alpha and 1beta. The levels of protein expression seen with the antibody microarray was compared with that obtained with Western blot analysis, and the magnitude of protein expression observed was similar with both technologies with the antibody array actually showing a greater degree of sensitivity. In summary, we have developed a new type of antibody microarray to screen for protein expression that utilizes a single antibody and controls for the amount of antibody spotted. This type of array appears at least as sensitive as Western blot analysis, and the technology can be scaled up for high throughput screening for hundreds of proteins in complex biofluids such as blood.

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Year:  2005        PMID: 16041058     DOI: 10.1074/mcp.M500052-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  7 in total

1.  Dye-doped silica nanoparticle labels/protein microarray for detection of protein biomarkers.

Authors:  Hong Wu; Qisheng Huo; Susan Varnum; Jun Wang; Guodong Liu; Zimin Nie; Jun Liu; Yuehe Lin
Journal:  Analyst       Date:  2008-07-28       Impact factor: 4.616

2.  Facile chemical functionalization of proteins through intein-linked yeast display.

Authors:  Carrie J Marshall; Nitin Agarwal; Jeet Kalia; Vanessa A Grosskopf; Nicholas A McGrath; Nicholas L Abbott; Ronald T Raines; Eric V Shusta
Journal:  Bioconjug Chem       Date:  2013-08-22       Impact factor: 4.774

3.  Quantifying antibody binding on protein microarrays using microarray nonlinear calibration.

Authors:  Xiaobo Yu; Garrick Wallstrom; Dewey Mitchell Magee; Ji Qiu; D Eliseo A Mendoza; Jie Wang; Xiaofang Bian; Morgan Graves; Joshua LaBaer
Journal:  Biotechniques       Date:  2013-05       Impact factor: 1.993

Review 4.  Protein microarrays and biomarkers of infectious disease.

Authors:  Mohan Natesan; Robert G Ulrich
Journal:  Int J Mol Sci       Date:  2010-12-16       Impact factor: 5.923

Review 5.  From functional genomics to functional immunomics: new challenges, old problems, big rewards.

Authors:  Ulisses M Braga-Neto; Ernesto T A Marques
Journal:  PLoS Comput Biol       Date:  2006-07-28       Impact factor: 4.475

Review 6.  Data Analysis Strategies for Protein Microarrays.

Authors:  Paula Díez; Noelia Dasilva; María González-González; Sergio Matarraz; Juan Casado-Vela; Alberto Orfao; Manuel Fuentes
Journal:  Microarrays (Basel)       Date:  2012-08-06

Review 7.  Systems biology and cancer stem cells.

Authors:  Nathan D Price; Greg Foltz; Anup Madan; Leroy Hood; Qiang Tian
Journal:  J Cell Mol Med       Date:  2007-11-20       Impact factor: 5.310

  7 in total

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