2008
DOI: 10.1186/1471-2164-9-91
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Effect of RNA quality on transcript intensity levels in microarray analysis of human post-mortem brain tissues

Abstract: Background: Large-scale gene expression analysis of post-mortem brain tissue offers unique opportunities for investigating genetic mechanisms of psychiatric and neurodegenerative disorders. On the other hand microarray data analysis associated with these studies is a challenging task. In this publication we address the issue of low RNA quality data and corresponding data analysis strategies.

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Cited by 68 publications
(63 citation statements)
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“…Genomics approaches continue to be criticized because of inconsistent results (Miklos and Maleszka 2004;Draghici et al 2006), and while some of this inconsistency arises from data processing (Shi et al 2008), differences in sample RNA integrity markedly affect transcript quantification and likely are the cause of much of the inconsistency (Auer et al 2003;Lipska et al 2006;Atz et al 2007;Thompson et al 2007;Popova et al 2008). Sample RNA of the highest quality is therefore imperative.…”
Section: Discussionmentioning
confidence: 99%
“…Genomics approaches continue to be criticized because of inconsistent results (Miklos and Maleszka 2004;Draghici et al 2006), and while some of this inconsistency arises from data processing (Shi et al 2008), differences in sample RNA integrity markedly affect transcript quantification and likely are the cause of much of the inconsistency (Auer et al 2003;Lipska et al 2006;Atz et al 2007;Thompson et al 2007;Popova et al 2008). Sample RNA of the highest quality is therefore imperative.…”
Section: Discussionmentioning
confidence: 99%
“…Identifying the genes still expressed just prior to cell death meant working with RNA samples exhibiting a certain degree of degradation. Several recent studies have looked at how much RNA degradation could influence gene expression measurements, but their conclusions remain a matter of debate (36)(37)(38). According to Opitz et al (36), samples with low RNA quality were still valuable for gene expression analysis but their use generated a greater variability between samples and an underestimation of genes with low transcript levels.…”
Section: Discussionmentioning
confidence: 99%
“…A subgroup of mRNA transcripts carrying the 3′-UTR AUUUA motif was shown to be particularly susceptible to PMIrelated degradation in animal models (Catts et al, 2005). In addition, a systemic analysis of postmortem brain tissues also demonstrated that RNA quality is a more critical determinant in analyzing a broad spectrum of mRNA transcripts, even more so than agony factors (Popova et al, 2008). Thus, data normalization to endogenous housekeeping reference genes without regard to RNA quality effects could be misleading.…”
Section: Discussionmentioning
confidence: 99%
“…To test this idea, we primarily focus on brain tissues because neuronal cells abundantly express HSPs and are highly vulnerable to a variety of cellular stresses, such as hypoxia/anoxia as well as disturbances in energy homeostasis (Hecker and McGarvey, 2011;Stetler et al, 2010). Furthermore, brain tissues also have a practical advantage in postmortem RNA profiling; it has been demonstrated that postmortem gene transcripts in brain tissues are relatively stable and intact with longer PMI, and are thus suitable for extraction and quantitative analyses of RNA (Heinrich et al, 2007a;2007b;Leonard et al, 1993;Popova et al, 2008). Therefore, the present study aims to quantitatively analyze a subgroup of brain-enriched HSP mRNA transcripts particularly in the postmortem human occipital lobes, thus gaining useful clues on their differential profiles by the cause of death, such as traumatic injury (TI), mechanical asphyxiation (ASP), or sudden cardiac death (SCD).…”
Section: Introductionmentioning
confidence: 99%