Literature DB >> 17065423

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

Jinny Liu1, Elizabeth Walter, David Stenger, Dzung Thach.   

Abstract

Excessive globin mRNA in whole blood RNA decreases transcript detection sensitivity and increases signal variation on microarrays. Hence, methods based on peptide nucleic acid inhibitory oligos and biotinylated DNA capture oligos have been developed to reduce globin mRNA. However, there is limited information about the effects of these two methods on gene expression profiles. Thus, we systematically compared the facility and effects of the two globin reduction methods on profile measurements from Jurkat cell line RNA with or without spiked globin mRNA and human blood RNA isolated using PAXgene collection tubes. We showed that the methods were efficient at increasing the sensitivity of transcript detection without loss of specificity, but neither method could recover a profile equivalent to that of an identical RNA sample without globin mRNA excesses. The capture oligo method had slightly better transcript detection sensitivity for cell line RNA, lowered signal variation for PAXgene RNA, and more similar profiles to controls than the inhibitory method. However, the capture method required larger amounts of initial high-quality RNA to yield sufficient cRNA amounts, and its procedures were more complex and time consuming than the inhibitory method. These results inform the selection of methods suitable for multicenter surveillance of gene expression profiles.

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Year:  2006        PMID: 17065423      PMCID: PMC1876175          DOI: 10.2353/jmoldx.2006.060021

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  6 in total

1.  Stabilization of mRNA expression in whole blood samples.

Authors:  Lynne Rainen; Uwe Oelmueller; Stewart Jurgensen; Ralf Wyrich; Cynthia Ballas; Jim Schram; Chris Herdman; Danute Bankaitis-Davis; Nancy Nicholls; David Trollinger; Victor Tryon
Journal:  Clin Chem       Date:  2002-11       Impact factor: 8.327

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

Authors:  Dzung C Thach; Baochuan Lin; Elizabeth Walter; Rusty Kruzelock; Robb K Rowley; Clark Tibbetts; David A Stenger
Journal:  J Immunol Methods       Date:  2003-12       Impact factor: 2.303

3.  A highly standardized, robust, and cost-effective method for genome-wide transcriptome analysis of peripheral blood applicable to large-scale clinical trials.

Authors:  Svenja Debey; Thomas Zander; Benedikt Brors; Alexey Popov; Roland Eils; Joachim L Schultze
Journal:  Genomics       Date:  2006-01-04       Impact factor: 5.736

4.  Surveillance of transcriptomes in basic military trainees with normal, febrile respiratory illness, and convalescent phenotypes.

Authors:  D C Thach; B K Agan; C Olsen; J Diao; B Lin; J Gomez; M Jesse; M Jenkins; R Rowley; E Hanson; C Tibbetts; D A Stenger; E Walter
Journal:  Genes Immun       Date:  2005-10       Impact factor: 2.676

5.  Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection.

Authors:  C Li; W H Wong
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-02       Impact factor: 11.205

6.  Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application.

Authors:  C Li; W Hung Wong
Journal:  Genome Biol       Date:  2001-08-03       Impact factor: 13.583

  6 in total
  43 in total

Review 1.  Gene-expression profiling in rheumatic disease: tools and therapeutic potential.

Authors:  Jason W Bauer; Hatice Bilgic; Emily C Baechler
Journal:  Nat Rev Rheumatol       Date:  2009-05       Impact factor: 20.543

2.  The transcriptome of the fetal inflammatory response syndrome.

Authors:  Sally A Madsen-Bouterse; Roberto Romero; Adi L Tarca; Juan Pedro Kusanovic; Jimmy Espinoza; Chong Jai Kim; Jung-Sun Kim; Samuel S Edwin; Ricardo Gomez; Sorin Draghici
Journal:  Am J Reprod Immunol       Date:  2010-01       Impact factor: 3.886

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

Review 4.  Gene expression studies in major depression.

Authors:  Divya Mehta; Andreas Menke; Elisabeth B Binder
Journal:  Curr Psychiatry Rep       Date:  2010-04       Impact factor: 5.285

5.  Variability of gene expression profiles in human blood and lymphoblastoid cell lines.

Authors:  Josine L Min; Amy Barrett; Tim Watts; Fredrik H Pettersson; Helen E Lockstone; Cecilia M Lindgren; Jennifer M Taylor; Maxine Allen; Krina T Zondervan; Mark I McCarthy
Journal:  BMC Genomics       Date:  2010-02-08       Impact factor: 3.969

6.  The effects of globin on microarray-based gene expression analysis of mouse blood.

Authors:  Mary E Winn; Matthew A Zapala; Iiris Hovatta; Victoria B Risbrough; Elizabeth Lillie; Nicholas J Schork
Journal:  Mamm Genome       Date:  2010-05-16       Impact factor: 2.957

7.  Gene expression patterns of dengue virus-infected children from nicaragua reveal a distinct signature of increased metabolism.

Authors:  P'ng Loke; Samantha N Hammond; Jacqueline M Leung; Charles C Kim; Sajeev Batra; Crisanta Rocha; Angel Balmaseda; Eva Harris
Journal:  PLoS Negl Trop Dis       Date:  2010-06-15

8.  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

9.  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

10.  Gene expression profiling of whole blood: comparison of target preparation methods for accurate and reproducible microarray analysis.

Authors:  Kristina Vartanian; Rachel Slottke; Timothy Johnstone; Amanda Casale; Stephen R Planck; Dongseok Choi; Justine R Smith; James T Rosenbaum; Christina A Harrington
Journal:  BMC Genomics       Date:  2009-01-05       Impact factor: 3.969

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