Literature DB >> 16191486

Optimized blood cell profiling method for genomic biomarker discovery using high-density microarray.

J Shou1, C Dotson, H-R Qian, W Tao, C Lin, F Lawrence, M N'Cho, N H Kulkarni, C M Bull, L M Gelbert, J E Onyia.   

Abstract

High-quality biomarkers for disease progression, drug efficacy and toxicity liability are essential for improving the efficiency of drug discovery and development. The identification of drug-activity biomarkers is often limited by access to and the quantity of target tissue. Peripheral blood has increasingly become an attractive alternative to tissue samples from organs as source for biomarker discovery, especially during early clinical studies. However, given the heterogeneous blood cell population, possible artifacts from ex vivo activations, and technical difficulties associated with overall performance of the assay, it is challenging to profile peripheral blood cells directly for biomarker discovery. In the present study, Applied BioSystems' blood collection system was evaluated for its ability to isolate RNA suitable for use on the Affymetrix microarray platform. Blood was collected in a TEMPUS tube and RNA extracted using an ABI-6100 semi-automated workstation. Using human and rat whole blood samples, it was demonstrated that the RNA isolated using this approach was stable, of high quality and was suitable for Affymetrix microarray applications. The microarray data were statistically analysed and compared with other blood protocols. Minimal haemoglobin interference with RNA labelling efficiency and chip hybridization was found using the TEMPUS tube and extraction method. The RNA quality, stability and ease of handling requirement make the TEMPUS tube protocol an attractive approach for expression profiling of whole blood to support target and biomarker discovery.

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Year:  2005        PMID: 16191486     DOI: 10.1080/13547500500218583

Source DB:  PubMed          Journal:  Biomarkers        ISSN: 1354-750X            Impact factor:   2.658


  10 in total

Review 1.  Quality assurance of RNA expression profiling in clinical laboratories.

Authors:  Weihua Tang; Zhiyuan Hu; Hind Muallem; Margaret L Gulley
Journal:  J Mol Diagn       Date:  2011-10-20       Impact factor: 5.568

2.  Analysis of whole genome biomarker expression in blood and brain.

Authors:  Brandi Rollins; Maureen V Martin; Ling Morgan; Marquis P Vawter
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2010-06-05       Impact factor: 3.568

3.  cDNA targets improve whole blood gene expression profiling and enhance detection of pharmocodynamic biomarkers: a quantitative platform analysis.

Authors:  Mark L Parrish; Chris Wright; Yarek Rivers; David Argilla; Heather Collins; Brendan Leeson; Andrey Loboda; Michael Nebozhyn; Matthew J Marton; Serguei Lejnine
Journal:  J Transl Med       Date:  2010-09-25       Impact factor: 5.531

4.  Impacts of different exposure scenarios on transcript abundances in Danio rerio embryos when investigating the toxicological burden of riverine sediments.

Authors:  Kerstin Bluhm; Jens C Otte; Lixin Yang; Christian Zinsmeister; Jessica Legradi; Steffen Keiter; Thomas Kosmehl; Thomas Braunbeck; Uwe Strähle; Henner Hollert
Journal:  PLoS One       Date:  2014-09-04       Impact factor: 3.240

5.  Comparison of blood RNA isolation methods from samples stabilized in Tempus tubes and stored at a large human biobank.

Authors:  Jeanette Aarem; Gunnar Brunborg; Kaja K Aas; Kari Harbak; Miia M Taipale; Per Magnus; Gun Peggy Knudsen; Nur Duale
Journal:  BMC Res Notes       Date:  2016-09-01

6.  Investigating gene expression profiles of whole blood and peripheral blood mononuclear cells using multiple collection and processing methods.

Authors:  Aarti Gautam; Duncan Donohue; Allison Hoke; Stacy Ann Miller; Seshamalini Srinivasan; Bintu Sowe; Leanne Detwiler; Jesse Lynch; Michael Levangie; Rasha Hammamieh; Marti Jett
Journal:  PLoS One       Date:  2019-12-06       Impact factor: 3.240

7.  Clinical implementation of RNA signatures for pharmacogenomic decision-making.

Authors:  Weihua Tang; Zhiyuan Hu; Hind Muallem; Margaret L Gulley
Journal:  Pharmgenomics Pers Med       Date:  2011-09-08

8.  The identification of gut neuroendocrine tumor disease by multiple synchronous transcript analysis in blood.

Authors:  Irvin M Modlin; Ignat Drozdov; Mark Kidd
Journal:  PLoS One       Date:  2013-05-15       Impact factor: 3.240

9.  Long-term storage of blood RNA collected in RNA stabilizing Tempus tubes in a large biobank--evaluation of RNA quality and stability.

Authors:  Nur Duale; W Ian Lipkin; Thomas Briese; Jeanette Aarem; Kjersti S Rønningen; Kaja K Aas; Per Magnus; Kari Harbak; Ezra Susser; Gunnar Brunborg
Journal:  BMC Res Notes       Date:  2014-09-12

10.  Evaluation of Existing Methods for Human Blood mRNA Isolation and Analysis for Large Studies.

Authors:  Anke Meyer; Federico Paroni; Kathrin Günther; Gitanjali Dharmadhikari; Wolfgang Ahrens; Sørge Kelm; Kathrin Maedler
Journal:  PLoS One       Date:  2016-08-30       Impact factor: 3.240

  10 in total

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