Literature DB >> 15028277

High-accuracy amplification of nanogram total RNA amounts for gene profiling.

Marc Kenzelmann1, Ralf Klären, Manfred Hergenhahn, Mahnaz Bonrouhi, Hermann-Josef Gröne, Wolfgang Schmid, Günther Schütz.   

Abstract

Microarray-based gene profiling of laser-assisted microdissected tissues or clinical biopsies is still a challenge since the amount of total RNA in such samples is limited and amplification of RNA is mandatory. Representative amplification of mRNA is highly dependent on the reverse transcription reaction, which is error prone, and on the number of amplification cycles. To improve the accuracy of RNA amplification, we optimized, combined, and tested different amplification strategies for Affymetrix oligonucleotide array hybridization. We demonstrate that different protocols differ significantly in quality of mRNA amplification. To demonstrate the accuracy and reproducibility of our optimized protocol in a clinical setting, we analyzed total RNAs from laser-assisted, microdissected cells of human prostate tissues. On the basis of these results, we recommend a standard reverse transcription reaction for small-sample-transcriptome profiling experiments as part of the Minimal Information about a Microarray Experiment (MIAME) set of standards.

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Year:  2004        PMID: 15028277     DOI: 10.1016/j.ygeno.2003.09.026

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  22 in total

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Authors:  Harm van Bakel; Frank C P Holstege
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Review 3.  Single-cell and regional gene expression analysis in Alzheimer's disease.

Authors:  Ruby Kwong; Michelle K Lupton; Michal Janitz
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4.  Microarray analysis of newly synthesized RNA in cells and animals.

Authors:  M Kenzelmann; S Maertens; M Hergenhahn; S Kueffer; A Hotz-Wagenblatt; L Li; S Wang; C Ittrich; T Lemberger; R Arribas; S Jonnakuty; M C Hollstein; W Schmid; N Gretz; H J Gröne; G Schütz
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-03       Impact factor: 11.205

5.  Microarray-based comparison of three amplification methods for nanogram amounts of total RNA.

Authors:  Ruchira Singh; Rajanikanth J Maganti; Sairam V Jabba; Martin Wang; Glenn Deng; Joe Don Heath; Nurith Kurn; Philine Wangemann
Journal:  Am J Physiol Cell Physiol       Date:  2004-12-21       Impact factor: 4.249

6.  Efficacy of RNA amplification is dependent on sequence characteristics: implications for gene expression profiling using a cDNA microarray.

Authors:  Nina Duftner; Jonah Larkins-Ford; Matthieu Legendre; Hans A Hofmann
Journal:  Genomics       Date:  2007-11-14       Impact factor: 5.736

7.  Identification of gene 3' ends by automated EST cluster analysis.

Authors:  Enrique M Muro; Robert Herrington; Salima Janmohamed; Catherine Frelin; Miguel A Andrade-Navarro; Norman N Iscove
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-18       Impact factor: 11.205

8.  Genome-wide transcriptome analysis of 150 cell samples.

Authors:  Daniel Irimia; Michael Mindrinos; Aman Russom; Wenzhong Xiao; Julie Wilhelmy; Shenglong Wang; Joe Don Heath; Nurith Kurn; Ronald G Tompkins; Ronald W Davis; Mehmet Toner
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9.  Global gene expression profiling of formalin-fixed paraffin-embedded tumor samples: a comparison to snap-frozen material using oligonucleotide microarrays.

Authors:  Matthias Frank; Claudia Döring; Dirk Metzler; Susan Eckerle; Martin-Leo Hansmann
Journal:  Virchows Arch       Date:  2007-05-04       Impact factor: 4.064

10.  RNA pre-amplification enables large-scale RT-qPCR gene-expression studies on limiting sample amounts.

Authors:  Joëlle Vermeulen; Stefaan Derveaux; Steve Lefever; Els De Smet; Katleen De Preter; Nurten Yigit; Anne De Paepe; Filip Pattyn; Frank Speleman; Jo Vandesompele
Journal:  BMC Res Notes       Date:  2009-11-25
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