Literature DB >> 14659918

Assessment of two methods for handling blood in collection tubes with RNA stabilizing agent for surveillance of gene expression profiles with high density microarrays.

Dzung C Thach1, Baochuan Lin, Elizabeth Walter, Rusty Kruzelock, Robb K Rowley, Clark Tibbetts, David A Stenger.   

Abstract

Genome-wide expression studies of human blood samples in the context of epidemiologic surveillance are confronted by numerous challenges-one of the foremost being the capability to produce reliable detection of transcript levels. This led us to consider the Paxgene Blood RNA System, which consists of a stabilizing additive in an evacuated blood collection tube (PAX tube) and a sample processing kit (PAX kit). The PAX tube contains a solution that inhibits RNA degradation and gene induction as blood is drawn into the tube. The stability of RNA in PAX tubes under conditions for practical clinical applications has been determined by RT-PCR, but has not been assessed at the transcriptome level on Affymetrix microarrays. Here, we report a quality assured and controlled protocol that is capable of producing reliable gene expression profiles using the GeneChip system with RNA isolated from PAX tubes. Using this protocol, we compared quality metrics and gene-expression profiles of RNA, extracted from blood in PAX tubes that sat at room temperature for 2 h, with that of blood in PAX tubes incubated at room temperature for 9 h followed by storage at -20 degrees C for 6 days. Of numerous metrics, differences between the two handling methods were detected for the level of DNA contamination, RNA yield, and double stranded cDNA yield. Analysis of variance of gene-expression revealed small but significant differences between the handling methods. These results contribute to the determination of protocols for clinical studies and progress us towards the goal of using the transcriptome in diagnosis and surveillance.

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Year:  2003        PMID: 14659918     DOI: 10.1016/j.jim.2003.10.004

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  27 in total

1.  Optimization of the PAXgene blood RNA extraction system for gene expression analysis of clinical samples.

Authors:  Viengthong Chai; Aikaterini Vassilakos; Yoon Lee; Jim A Wright; Aiping H Young
Journal:  J Clin Lab Anal       Date:  2005       Impact factor: 2.352

2.  Effects of globin mRNA reduction methods on gene expression profiles from whole blood.

Authors:  Jinny Liu; Elizabeth Walter; David Stenger; Dzung Thach
Journal:  J Mol Diagn       Date:  2006-11       Impact factor: 5.568

Review 3.  Biobanking in genomic medicine.

Authors:  Jane H Zhou; Aysegul A Sahin; Jeffrey N Myers
Journal:  Arch Pathol Lab Med       Date:  2015-06       Impact factor: 5.534

4.  Deciphering normal blood gene expression variation--The NOWAC postgenome study.

Authors:  Vanessa Dumeaux; Karina S Olsen; Gregory Nuel; Ruth H Paulssen; Anne-Lise Børresen-Dale; Eiliv Lund
Journal:  PLoS Genet       Date:  2010-03-12       Impact factor: 5.917

5.  Gene expression profiling in whole blood of patients with coronary artery disease.

Authors:  Chiara Taurino; William H Miller; Martin W McBride; John D McClure; Raya Khanin; María U Moreno; Jane A Dymott; Christian Delles; Anna F Dominiczak
Journal:  Clin Sci (Lond)       Date:  2010-07-09       Impact factor: 6.124

6.  Assessment of mRNA and microRNA Stabilization in Peripheral Human Blood for Multicenter Studies and Biobanks.

Authors:  Daniel Gilbert Weber; Swaantje Casjens; Peter Rozynek; Martin Lehnert; Sandra Zilch-Schöneweis; Oleksandr Bryk; Dirk Taeger; Maria Gomolka; Michaela Kreuzer; Heinz Otten; Beate Pesch; Georg Johnen; Thomas Brüning
Journal:  Biomark Insights       Date:  2010-09-22

Review 7.  Microarray-based identification of novel biomarkers in IL-1-mediated diseases.

Authors:  Florence Allantaz; Damien Chaussabel; Jacques Banchereau; Virginia Pascual
Journal:  Curr Opin Immunol       Date:  2007-11-26       Impact factor: 7.486

8.  Identification of marker genes for differential diagnosis of chronic fatigue syndrome.

Authors:  Takuya Saiki; Tomoko Kawai; Kyoko Morita; Masayuki Ohta; Toshiro Saito; Kazuhito Rokutan; Nobutaro Ban
Journal:  Mol Med       Date:  2008 Sep-Oct       Impact factor: 6.354

Review 9.  Molecular signatures of obstructive sleep apnea in adults: a review and perspective.

Authors:  Erna S Arnardottir; Miroslaw Mackiewicz; Thorarinn Gislason; Karen L Teff; Allan I Pack
Journal:  Sleep       Date:  2009-04       Impact factor: 5.849

10.  A practical platform for blood biomarker study by using global gene expression profiling of peripheral whole blood.

Authors:  Ze Tian; Nathan Palmer; Patrick Schmid; Hui Yao; Michal Galdzicki; Bonnie Berger; Erxi Wu; Isaac S Kohane
Journal:  PLoS One       Date:  2009-04-17       Impact factor: 3.240

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