Literature DB >> 20477359

Comparison of globin RNA processing methods for genome-wide transcriptome analysis from whole blood.

Vanessa Dumeaux1, Eiliv Lund, Anne-Lise Børresen-Dale.   

Abstract

AIMS: Whole blood is likely to become the prime tissue to detect biomarkers using gene expression analyses. In this study, we assessed whether whole-blood or globin-reduced RNA provides the most robust and sensitive results to detect small gene expression changes, for example, in response to hormone therapy (HT) exposure. MATERIAL &
METHODS: Each sample (n = 12) was processed according to three different protocols: no globin reduction, globin reduction using peptide nucleic acids (PNAs) and globin reduction using magnetic beads in the GlobinClear kit from Ambion.
RESULTS: Both globin reduction approaches using Ambion kit and PNAs were efficient at reducing globin RNA. However, globin reduction using Ambion kit also lowered the remaining cRNA. Samples processed with PNAs gave an intermediary profile closest to the no globin reduction group, with a slight increase in sensitivity of transcript detection and decrease in variability, but a loss of reproducibility.
CONCLUSIONS: Globin RNA processing method in blood transcriptome analyses should be optimized for each microarray platform to be used. In our study, globin reduction was not found to be beneficial using the Applied Biosystems microarray system (AB1700).

Entities:  

Year:  2008        PMID: 20477359     DOI: 10.2217/17520363.2.1.11

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  9 in total

1.  Dexamethasone stimulated gene expression in peripheral blood is a sensitive marker for glucocorticoid receptor resistance in depressed patients.

Authors:  Andreas Menke; Janine Arloth; Benno Pütz; Peter Weber; Torsten Klengel; Divya Mehta; Mariya Gonik; Monika Rex-Haffner; Jennifer Rubel; Manfred Uhr; Susanne Lucae; Jan M Deussing; Bertram Müller-Myhsok; Florian Holsboer; Elisabeth B Binder
Journal:  Neuropsychopharmacology       Date:  2012-01-11       Impact factor: 7.853

2.  Sex hormones and gene expression signatures in peripheral blood from postmenopausal women - the NOWAC postgenome study.

Authors:  Marit Waaseth; Karina S Olsen; Charlotta Rylander; Eiliv Lund; Vanessa Dumeaux
Journal:  BMC Med Genomics       Date:  2011-03-31       Impact factor: 3.063

3.  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

4.  Plasma fatty acid ratios affect blood gene expression profiles--a cross-sectional study of the Norwegian Women and Cancer Post-Genome Cohort.

Authors:  Karina Standahl Olsen; Christopher Fenton; Livar Frøyland; Marit Waaseth; Ruth H Paulssen; Eiliv Lund
Journal:  PLoS One       Date:  2013-06-25       Impact factor: 3.240

5.  Peripheral blood gene expression: it all boils down to the RNA collection tubes.

Authors:  Andreas Menke; Monika Rex-Haffner; Torsten Klengel; Elisabeth B Binder; Divya Mehta
Journal:  BMC Res Notes       Date:  2012-01-04

6.  Hematopoietic Lineage Transcriptome Stability and Representation in PAXgene Collected Peripheral Blood Utilising SPIA Single-Stranded cDNA Probes for Microarray.

Authors:  Laura Kennedy; J Keith Vass; D Ross Haggart; Steve Moore; Michael E Burczynski; Dan Crowther; Gino Miele
Journal:  Biomark Insights       Date:  2008-08-25

7.  Gene expression analyses in breast cancer epidemiology: the Norwegian Women and Cancer postgenome cohort study.

Authors:  Vanessa Dumeaux; Anne-Lise Børresen-Dale; Jan-Ole Frantzen; Merethe Kumle; Vessela N Kristensen; Eiliv Lund
Journal:  Breast Cancer Res       Date:  2008-02-13       Impact factor: 6.466

8.  Peripheral blood cells inform on the presence of breast cancer: a population-based case-control study.

Authors:  Vanessa Dumeaux; Josie Ursini-Siegel; Arnar Flatberg; Hans E Fjosne; Jan-Ole Frantzen; Marit Muri Holmen; Enno Rodegerdts; Ellen Schlichting; Eiliv Lund
Journal:  Int J Cancer       Date:  2014-06-25       Impact factor: 7.396

Review 9.  Whole-Blood Gene Expression Profiles in Large-Scale Epidemiological Studies: What Do They Tell?

Authors:  Karina Standahl Olsen; Guri Skeie; Eiliv Lund
Journal:  Curr Nutr Rep       Date:  2015-10-08
  9 in total

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