Literature DB >> 10441335

Sensitivity issues in DNA array-based expression measurements and performance of nylon microarrays for small samples.

F Bertucci1, K Bernard, B Loriod, Y C Chang, S Granjeaud, D Birnbaum, C Nguyen, K Peck, B R Jordan.   

Abstract

DNA or oligonucleotide arrays are widely used for large-scale expression measurements, using various implementations: macroarrays in which DNA is spotted onto nylon membranes of relatively large dimensions (with radioactive detection) on the one hand; microarrays on glass slides and oligonucleotide chips, both used with fluorescent probes, on the other hand. Nylon micro-arrays with colourimetric detection have also been described recently. The small physical dimensions of miniaturized systems allow small hybridization volumes (2-100 microl) and provide high probe concentrations, in contrast to macroarrays. We show, however, that actual sensitivity (defined as the amount of sample necessary for detection of a given mRNA species) is in fact similar for all these systems and that this is mostly due to the very different amounts of target material present on the respective arrays. We then demonstrate that the combination of nylon microarrays with(33)P-labelled radioactive probes provides 100-fold better sensitivity, making it possible to perform expression profiling experiments using submicrogram amounts of unamplified total RNA from small biological samples. This has important implications in basic and clinical research and makes this alternative approach particularly suitable for groups operating in an academic context.

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Year:  1999        PMID: 10441335     DOI: 10.1093/hmg/8.9.1715

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  31 in total

1.  Statistical evaluation of differential expression on cDNA nylon arrays with replicated experiments.

Authors:  R Herwig; P Aanstad; M Clark; H Lehrach
Journal:  Nucleic Acids Res       Date:  2001-12-01       Impact factor: 16.971

Review 2.  Microarray data quality analysis: lessons from the AFGC project. Arabidopsis Functional Genomics Consortium.

Authors:  David Finkelstein; Rob Ewing; Jeremy Gollub; Fredrik Sterky; J Michael Cherry; Shauna Somerville
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

3.  A novel sensitive microarray approach for differential screening using probes labelled with two different radioelements.

Authors:  H Salin; T Vujasinovic; A Mazurie; S Maitrejean; C Menini; J Mallet; S Dumas
Journal:  Nucleic Acids Res       Date:  2002-02-15       Impact factor: 16.971

4.  Tissue gene expression analysis using arrayed normalized cDNA libraries.

Authors:  H Eickhoff; J Schuchhardt; I Ivanov; S Meier-Ewert; J O'Brien; A Malik; N Tandon; E W Wolski; E Rohlfs; L Nyarsik; R Reinhardt; W Nietfeld; H Lehrach
Journal:  Genome Res       Date:  2000-08       Impact factor: 9.043

5.  Improving DNA array data quality by minimising 'neighbourhood' effects.

Authors:  Andreas W Machl; Christoph Schaab; Igor Ivanov
Journal:  Nucleic Acids Res       Date:  2002-11-15       Impact factor: 16.971

Review 6.  Gene expression profiling with DNA microarrays: advancing our understanding of psychiatric disorders.

Authors:  Julie Pongrac; Frank A Middleton; David A Lewis; Pat Levitt; Károly Mirnics
Journal:  Neurochem Res       Date:  2002-10       Impact factor: 3.996

Review 7.  Microarray technology and its application on nicotine research.

Authors:  Ming D Li; Ozien Konu; Justin K Kane; Kevin G Becker
Journal:  Mol Neurobiol       Date:  2002-06       Impact factor: 5.590

8.  Comparing the use of Affymetrix to spotted oligonucleotide microarrays using two retinal pigment epithelium cell lines.

Authors:  Anna T Rogojina; William E Orr; Bong K Song; Eldon E Geisert
Journal:  Mol Vis       Date:  2003-10-06       Impact factor: 2.367

9.  Gene expression profiling of the tetrapyrrole metabolic pathway in Arabidopsis with a mini-array system.

Authors:  Fuminori Matsumoto; Takeshi Obayashi; Yuko Sasaki-Sekimoto; Hiroyuki Ohta; Ken-ichiro Takamiya; Tatsuru Masuda
Journal:  Plant Physiol       Date:  2004-08       Impact factor: 8.340

10.  A transcriptomic analysis of human centromeric and pericentric sequences in normal and tumor cells.

Authors:  Angéline Eymery; Béatrice Horard; Michèle El Atifi-Borel; Geneviève Fourel; François Berger; Anne-Laure Vitte; Arnaud Van den Broeck; Elisabeth Brambilla; Alexandra Fournier; Mary Callanan; Sylvie Gazzeri; Saadi Khochbin; Sophie Rousseaux; Eric Gilson; Claire Vourc'h
Journal:  Nucleic Acids Res       Date:  2009-08-31       Impact factor: 16.971

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