References
- Asare AL, Kolchinsky SA, Gao Z, et al. (2008). Differential gene expression profiles are dependent upon method of peripheral blood collection and RNA isolation. BMC Genomics 9:474.
- Auphan N, DiDonato JA, Rosette C, et al. (1995). Immunosuppression by glucocorticoids: inhibition of NF-kappa B activity through induction of I kappa B synthesis. Science 270:286–90.
- Baechler EC, Batliwalla FM, Karypis G, et al. (2004). Expression levels for many genes in human peripheral blood cells are highly sensitive to ex vivo incubation. Genes Immun 5:347–53.
- Bai JP, Alekseyenko AV, Statnikov A, et al. (2013). Strategic applications of gene expression: from drug discovery/development to bedside. AAPS J 15:427–37.
- Barnes MG, Grom AA, Griffin TA, et al. (2010). Gene expression profiles from peripheral blood mononuclear cells are sensitive to short processing delays. Biopreserv Biobank 8:153–62.
- Benjamini Y, Hochberg Y. (1995). Controlling the false discovery rate – a practical and powerful approach to multiple testing. J R Stat Soc Ser B Methodol 57:289–300.
- Blankley S, Berry MP, Graham CM, et al. (2014). The application of transcriptional blood signatures to enhance our understanding of the host response to infection: the example of tuberculosis. Philos Trans R Soc Lond B Biol Sci 369:20130427.
- Bos I, De BP, Int PL, et al. (2012). Negative effects of ultrafine particle exposure during forced exercise on the expression of Brain-Derived Neurotrophic Factor in the hippocampus of rats. Neuroscience 223:131–9.
- Burczynski ME, Rockett JC. (2006). Surrogate tissue analysis: genomic, proteomic, and metabolomic approaches. Boca Raton, FL: Taylor & Francis Group, LLC.
- Cohen S, Mosig R, Moshier E, et al. (2014). Interferon regulatory factor 1 is an independent predictor of platinum resistance and survival in high-grade serous ovarian carcinoma. Gynecol Oncol 134:591–8.
- Duale N, Brunborg G, Ronningen KS, et al. (2012). Human blood RNA stabilization in samples collected and transported for a large biobank. BMC Res Notes 5:510.
- Duale N, Lipkin WI, Briese T, et al. (2014). Long-term storage of blood RNA collected in RNA stabilizing Tempus tubes in a large biobank-evaluation of RNA quality and stability. BMC Res Notes 7:633.
- ElHabbal MH, Smith L, Elliott MJ, Strobel S. (1995). Effect of heparin anticoagulation on neutrophil adhesion molecules and release of IL8: C3 is not essential. Cardiovasc Res 30:676–81.
- Ellinger-Ziegelbauer H, Aubrecht J, Kleinjans JC, Ahr HJ. (2009). Application of toxicogenomics to study mechanisms of genotoxicity and carcinogenicity. Toxicol Lett 186:36–44.
- Fleige S, Pfaffl MW. (2006). RNA integrity and the effect on the real-time qRT-PCR performance. Mol Aspects Med 27:126–39.
- Fleige S, Walf V, Huch S, et al. (2006). Comparison of relative mRNA quantification models and the impact of RNA integrity in quantitative real-time RT-PCR. Biotechnol Lett 28:1601–13.
- Ghosh S, May MJ, Kopp EB. (1998). NF-kappa B and Rel proteins: evolutionarily conserved mediators of immune responses. Annu Rev Immunol 16:225–60.
- Hartel C, Bein G, Muller-Steinhardt M, Kluter H. (2001). Ex vivo induction of cytokine mRNA expression in human blood samples. J Immunol Methods 249:63–71.
- Hebels DG, Georgiadis P, Keun HC, et al. (2013). Performance in omics analyses of blood samples in long-term storage: opportunities for the exploitation of existing biobanks in environmental health research. Environ Health Perspect 121:480–7.
- Hellemans J, Mortier G, De PA, et al. (2007). qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. Genome Biol 8:R19.
- Hoesel B, Schmid JA. (2013). The complexity of NF-κB signaling in inflammation and cancer. Mol Cancer 12:86.
- Jacobs MD, Harrison SC. (1998). Structure of an IkappaBalpha/NF-kappaB complex. Cell 95:749–58.
- Lin Y, Bai L, Chen W, Xu S. (2010). The NF-kappaB activation pathways, emerging molecular targets for cancer prevention and therapy. Expert Opin Ther Targets 14:45–55.
- McHale CM, Zhang L, Hubbard AE, Smith MT. (2010). Toxicogenomic profiling of chemically exposed humans in risk assessment. Mutat Res 705:172–83.
- Mogensen TH. (2009). Pathogen recognition and inflammatory signaling in innate immune defenses. Clin Microbiol Rev 22:240–73.
- Opitz L, Salinas-Riester G, Grade M, et al. (2010). Impact of RNA degradation on gene expression profiling. BMC Med Genomics 3:36.
- Pahl A, Brune K. (2002). Stabilization of gene expression profiles in blood after phlebotomy. Clin Chem 48:2251–3.
- Rainen L, Oelmueller U, Jurgensen S, et al. (2002). Stabilization of mRNA expression in whole blood samples. Clin Chem 48:1883–90.
- Remy S, Govarts E, Bruckers L, et al. (2014). Expression of the sFLT1 gene in cord blood cells is associated to maternal arsenic exposure and decreased birth weight. PLoS One 9:e92677.
- Sullivan PF, Fan C, Perou CM. (2006). Evaluating the comparability of gene expression in blood and brain. Am J Med Genet B Neuropsychiatr Genet 141B:261–8.
- Tang Y, Gilbert DL, Glauser TA, et al. (2005). Blood gene expression profiling of neurologic diseases: a pilot microarray study. Arch Neurol 62:210–15.
- Taurino C, Miller WH, McBride MW, et al. (2010). Gene expression profiling in whole blood of patients with coronary artery disease. Clin Sci (Lond) 119:335–43.
- van Leeuwen DM, Gottschalk RW, Schoeters G, et al. (2008). Transcriptome analysis in peripheral blood of humans exposed to environmental carcinogens: a promising new biomarker in environmental health studies. Environ Health Perspect 116:1519–25.
- Vandesompele J, De PK, Pattyn F, et al. (2002). Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol 3:RESEARCH0034.
- Vartanian K, Slottke R, Johnstone T, et al. (2009). Gene expression profiling of whole blood: comparison of target preparation methods for accurate and reproducible microarray analysis. BMC Genomics 10:2.
- Weber DG, Casjens S, Rozynek P, et al. (2010). Assessment of mRNA and microRNA stabilization in peripheral human blood for multicenter studies and biobanks. Biomark Insights 5:95–102.