Effect of agonal and postmortem factors on gene expression profile: quality control in microarray analyses of postmortem human brain.
Journal: 2004/March - Biological Psychiatry
ISSN: 0006-3223
Abstract:
There are major concerns that specific agonal conditions, including coma and hypoxia, might affect ribonucleic acid (RNA) integrity in postmortem brain studies. We report that agonal factors significantly affect RNA integrity and have a major impact on gene expression profiles in microarrays. In contrast to agonal factors, gender, age, and postmortem factors have less effect on gene expression profiles. The Average Correlation Index is proposed as a method for evaluating RNA integrity on the basis of similarity of microarray profiles. Reducing the variance due to agonal factors is critical in investigating small but validated gene expression differences in messenger RNA levels between psychiatric patients and control subjects.
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Biol Psychiatry 55(4): 346-352

Effect of Agonal and Postmortem Factors on Gene Expression Profile: Quality Control in Microarray Analyses of Postmortem Human Brain

+4 authors
Department of Psychiatry and Human Behavior (HT, MPV, DMW, KMO, MEA, WEB), University of California, Irvine; Center for Neuroscience (PVC, EGJ), University of California, Davis; Stanford Human Genome Center (JL, RMM), Stanford University, Palo Alto, California; and Mental Health Research Institute (SJE, SJW, HA), University of Michigan, Ann Arbor, Michigan
Address reprint requests to Dr. William E. Bunney, University of California, Irvine, Department of Psychiatry and Human Behavior, D438 Medical Sciences 1, Irvine CA 92697-1675
HT, MPV, and DMW contributed equally to this work.

Abstract

There are major concerns that specific agonal conditions, including coma and hypoxia, might affect ribonucleic acid (RNA) integrity in postmortem brain studies. We report that agonal factors significantly affect RNA integrity and have a major impact on gene expression profiles in microarrays. In contrast to agonal factors, gender, age, and postmortem factors have less effect on gene expression profiles. The Average Correlation Index is proposed as a method for evaluating RNA integrity on the basis of similarity of microarray profiles. Reducing the variance due to agonal factors is critical in investigating small but validated gene expression differences in messenger RNA levels between psychiatric patients and control subjects.

Keywords: Adenine, Uracil-rich elements, bipolar disorder, freezer interval, iron-responsive element, major depressive disorder, postmortem interval
Abstract

Microarray studies using postmortem brains have become particularly valuable in profiling gene expression patterns related to psychiatric disorders of unknown etiology (Bahn et al 2001; Bunney et al 2003; Hakak et al 2001; Mirnics et al 2001; Van Deerlin et al 2002). In studies using postmortem brain tissue, the variability of ribonucleic acid (RNA) integrity has been a major concern. There have been two major factors that affect RNA integrity in gene expression studies using postmortem brain: 1) agonal factors, defined as specific agonal conditions at the time of death and agonal duration; and 2) postmortem factors, defined as the condition of the postmortem brain tissue after death, including the delay between death and the time the tissue is frozen (postmortem interval [PMI]) and the duration the brain tissue is stored in a freezer (freezer interval [FI]). Prior studies have indicated that agonal factors markedly affect the integrity of RNA, whereas postmortem factors have relatively small effects on RNA integrity (Bahn et al 2001; Barton et al 1993; Gilmore et al 1993; Harrison et al 1995; Johnson et al 1986; Kingsbury et al 1995; Leonard et al 1993; Perrett et al 1988; Ravid et al 1992; Van Deerlin et al 2002). However, because messenger (m)RNAs have been shown to vary in their vulnerability to agonal factors (Barton et al 1993; Burke et al 1991; Harrison et al 1994, 1995), attention should be drawn to the limitation of previous postmortem studies in this area, in which investigators have only analyzed restricted numbers of transcripts. Expression data for thousands of genes obtained by microarray technology facilitate a comprehensive evaluation of the integrity of RNA samples.

In this article, we discuss issues concerning evaluation of agonal and postmortem factors and RNA integrity in microarray study of postmortem brains. The hypothesis raised in the present study was that agonal factors adversely affect integrity of mRNAs and influence microarray expression profiles more than the postmortem factor or other biological factors, such as gender, age, or diagnosis of psychiatric disorder. The hypothesis was tested with 40 well-characterized postmortem brains. We show that agonal factors and RNA integrity can be evaluated by correlation of expression profiles between microarrays. A tool, the Average Correlation Index (ACI), is presented to evaluate the agonal factor and RNA integrity on the basis of the similarity of gene expression profiles for each microarray among a total set of microarray data.

Footnotes

Contributions to this work were also made by other members of the Pritzker Neuropsychiatric Disorders Research Consortium and the National Institute of Mental Health Conte Center.

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