Literature DB >> 15966837

All about DIGE: quantification technology for differential-display 2D-gel proteomics.

Kathryn S Lilley1, David B Friedman.   

Abstract

2D polyacrylamide gel electrophoresis has been the traditional workhorse of proteomics, allowing for the resolution of several thousand proteins in a single gel. Difference gel electrophoresis is an emerging technology that allows for accurate quantification with statistical confidence while controlling for nonbiologic variation, and also increases the dynamic range and sensitivity of traditional 2D polyacrylamide gel electrophoresis. With inclusion of an internal standard formed from equal amounts of every sample in an experiment, difference gel electrophoresis technology also allows for repetitive measurements and multivariable analyses to be quantitatively analyzed in one co-ordinated experiment, yielding statistically-significant changes in protein expression related to many disease states. This technique promises to be an important tool in clinical proteomics and the study of the mechanism of disease, investigating diagnostic biomarkers and pinpointing novel therapeutic targets.

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Year:  2004        PMID: 15966837     DOI: 10.1586/14789450.1.4.401

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  55 in total

Review 1.  Proteomics of the Synapse--A Quantitative Approach to Neuronal Plasticity.

Authors:  Daniela C Dieterich; Michael R Kreutz
Journal:  Mol Cell Proteomics       Date:  2015-08-25       Impact factor: 5.911

2.  Identification of quantitative trait loci underlying proteome variation in human lymphoblastoid cells.

Authors:  Nikhil Garge; Huaqin Pan; Megan D Rowland; Benjamin J Cargile; Xinxin Zhang; Phillip C Cooley; Grier P Page; Maureen K Bunger
Journal:  Mol Cell Proteomics       Date:  2010-02-23       Impact factor: 5.911

3.  Selective identification of newly synthesized proteins in mammalian cells using bioorthogonal noncanonical amino acid tagging (BONCAT).

Authors:  Daniela C Dieterich; A James Link; Johannes Graumann; David A Tirrell; Erin M Schuman
Journal:  Proc Natl Acad Sci U S A       Date:  2006-06-12       Impact factor: 11.205

Review 4.  Neuroproteomics: relevance to anxiety disorders.

Authors:  Joachim D K Uys; Dan J Stein; Willie M U Daniels
Journal:  Curr Psychiatry Rep       Date:  2006-08       Impact factor: 5.285

5.  Verification of automated peptide identifications from proteomic tandem mass spectra.

Authors:  David L Tabb; David B Friedman; Amy-Joan L Ham
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

Review 6.  Proteomic technology for biomarker profiling in cancer: an update.

Authors:  Moulay A Alaoui-Jamali; Ying-jie Xu
Journal:  J Zhejiang Univ Sci B       Date:  2006-06       Impact factor: 3.066

7.  Alcohol dehydrogenase restricts the ability of the pathogen Candida albicans to form a biofilm on catheter surfaces through an ethanol-based mechanism.

Authors:  Pranab K Mukherjee; Sotohy Mohamed; Jyotsna Chandra; Duncan Kuhn; Shuqing Liu; Omar S Antar; Ryan Munyon; Aaron P Mitchell; David Andes; Mark R Chance; Mahmoud Rouabhia; Mahmoud A Ghannoum
Journal:  Infect Immun       Date:  2006-07       Impact factor: 3.441

Review 8.  Mass spectrometry-based proteomic profiling of lung cancer.

Authors:  Sebahat Ocak; Pierre Chaurand; Pierre P Massion
Journal:  Proc Am Thorac Soc       Date:  2009-04-15

9.  Using cell engineering and omic tools for the improvement of cell culture processes.

Authors:  Darrin Kuystermans; Britta Krampe; Halina Swiderek; Mohamed Al-Rubeai
Journal:  Cytotechnology       Date:  2007-02-24       Impact factor: 2.058

10.  Molecular targets for diabetes mellitus-associated erectile dysfunction.

Authors:  Elizabeth Yohannes; Jinsook Chang; Moses T Tar; Kelvin P Davies; Mark R Chance
Journal:  Mol Cell Proteomics       Date:  2009-12-10       Impact factor: 5.911

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