Literature DB >> 16213454

A quality-controlled microarray method for gene expression profiling.

Thomas Degenkolbe1, Matthew A Hannah, Susanne Freund, Dirk K Hincha, Arnd G Heyer, Karin I Köhl.   

Abstract

Gene expression profiling on microarrays is widely used to measure the expression of large numbers of genes in a single experiment. Because of the high cost of this method, feasible numbers of replicates are limited, thus impairing the power of statistical analysis. As a step toward reducing technically induced variation, we developed a procedure of sample preparation and analysis that minimizes the number of sample manipulation steps, introduces quality control before array hybridization, and allows recovery of the prepared mRNA for independent validation of results. Sample preparation is based on mRNA separation using oligo(dT) magnetic beads, which are subsequently used for first-strand cDNA synthesis on the beads. cDNA covalently bound to the magnetic beads is used as template for second-strand cDNA synthesis, leaving the intact mRNA in solution for further analysis. The quality of the synthesized cDNA can be assessed by quantitative polymerase chain reaction using 3'- and 5'-specific primer pairs for housekeeping genes such as glyceraldehyde-3-phosphate dehydrogenase. Second-strand cDNA is chemically labeled with fluorescent dyes to avoid dye bias in enzymatic labeling reactions. After hybridization of two differently labeled samples to microarray slides, arrays are scanned and images analyzed automatically with high reproducibility. Quantile-normalized data from five biological replica display a coefficient of variation 45% for 90% of profiled genes, allowing detection of twofold changes with false positive and false negative rates of 10% each. We demonstrate successful application of the procedure for expression profiling in plant leaf tissue. However, the method could be easily adapted for samples from animal including human or from microbial origin.

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Year:  2005        PMID: 16213454     DOI: 10.1016/j.ab.2005.08.027

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  6 in total

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Authors:  Marc Lohse; Adriano Nunes-Nesi; Peter Krüger; Axel Nagel; Jan Hannemann; Federico M Giorgi; Liam Childs; Sonia Osorio; Dirk Walther; Joachim Selbig; Nese Sreenivasulu; Mark Stitt; Alisdair R Fernie; Björn Usadel
Journal:  Plant Physiol       Date:  2010-04-13       Impact factor: 8.340

2.  The potato-specific apyrase is apoplastically localized and has influence on gene expression, growth, and development.

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Journal:  Plant Physiol       Date:  2008-05-14       Impact factor: 8.340

3.  The 'PUCE CAFE' Project: the first 15K coffee microarray, a new tool for discovering candidate genes correlated to agronomic and quality traits.

Authors:  Isabelle Privat; Amélie Bardil; Aureliano Bombarely Gomez; Dany Severac; Christelle Dantec; Ivanna Fuentes; Lukas Mueller; Thierry Joët; David Pot; Séverine Foucrier; Stéphane Dussert; Thierry Leroy; Laurent Journot; Alexandre de Kochko; Claudine Campa; Marie-Christine Combes; Philippe Lashermes; Benoit Bertrand
Journal:  BMC Genomics       Date:  2011-01-05       Impact factor: 3.969

Review 4.  Fluorescence-based bioassays for the detection and evaluation of food materials.

Authors:  Kentaro Nishi; Shin-Ichiro Isobe; Yun Zhu; Ryoiti Kiyama
Journal:  Sensors (Basel)       Date:  2015-10-13       Impact factor: 3.576

5.  Metabolite and transcript markers for the prediction of potato drought tolerance.

Authors:  Heike Sprenger; Alexander Erban; Sylvia Seddig; Katharina Rudack; Anja Thalhammer; Mai Q Le; Dirk Walther; Ellen Zuther; Karin I Köhl; Joachim Kopka; Dirk K Hincha
Journal:  Plant Biotechnol J       Date:  2017-10-17       Impact factor: 9.803

6.  Expression profiling of rice cultivars differing in their tolerance to long-term drought stress.

Authors:  Thomas Degenkolbe; Phuc Thi Do; Ellen Zuther; Dirk Repsilber; Dirk Walther; Dirk K Hincha; Karin I Köhl
Journal:  Plant Mol Biol       Date:  2008-10-19       Impact factor: 4.076

  6 in total

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