Literature DB >> 15322426

Nonuniform hybridization: a potential source of error in oligonucleotide-chip experiments with low amounts of starting material.

Nikolaus Wick1, Josef Bruck, Elisabeth Gurnhofer, Carl-Walter Steiner, Pietro Giovanoli, Dontscho Kerjaschki, Stefen Thurner.   

Abstract

Low amounts of starting material are a significant limitation of gene-expression profiling of microprepared pathologic specimens. Linear RNA amplification has become the method of choice to overcome this problem. Thus, transcriptomal analyses by oligonucleotide-chips or cDNA microarrays are now feasible with labeled complementary RNA generated from total RNA samples in the lower nanogram range. However, in case of oligonucleotide-chips, it has been underestimated so far that individual complementary RNA molecules are shorter in length than and display a 3' bias in comparison to the sequence stretch represented by oligonucleotides on the chip. This can lead to incorrect interpretation of raw data. We have analyzed this problem testing ex vivo-microprepared endothelial cells with Affymetrix GeneChips U133A. Only a small subset of housekeeping genes showed adequate uniform hybridization. We developed a software tool for objective evaluation of oligonucleotide-chips based on automated analysis of as well as normalization to this subset of housekeeping genes. We analyzed the gene expression profile of microprepared lymphatic vascular endothelial cells. We show that optimized normalization prevented exclusion of angiopoietin-2, a lymphatic endothelial marker, from the lymphovascular transcriptome.

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Year:  2004        PMID: 15322426     DOI: 10.1097/01.pdm.0000133161.53055.0d

Source DB:  PubMed          Journal:  Diagn Mol Pathol        ISSN: 1052-9551


  2 in total

1.  Lymphatic precollectors contain a novel, specialized subpopulation of podoplanin low, CCL27-expressing lymphatic endothelial cells.

Authors:  Nikolaus Wick; Daniela Haluza; Elisabeth Gurnhofer; Ingrid Raab; Marie-Theres Kasimir; Michael Prinz; Carl-Walter Steiner; Christina Reinisch; Anny Howorka; Pietro Giovanoli; Sabine Buchsbaum; Sigurd Krieger; Erwin Tschachler; Peter Petzelbauer; Dontscho Kerjaschki
Journal:  Am J Pathol       Date:  2008-09-04       Impact factor: 4.307

2.  Microarray amplification bias: loss of 30% differentially expressed genes due to long probe - poly(A)-tail distances.

Authors:  Mirjam C Boelens; Gerard J te Meerman; Johan H Gibcus; Tjasso Blokzijl; H Marike Boezen; Wim Timens; Dirkje S Postma; Harry J M Groen; Anke van den Berg
Journal:  BMC Genomics       Date:  2007-08-15       Impact factor: 3.969

  2 in total

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