Relevance and limitations of public databases for microarray design: a critical approach to gene predictions

Transcriptomic and genetic studies identify IL-33 as a candidate gene for Alzheimer's disease

The only recognized genetic determinant of the common forms of Alzheimer's disease (AD) is the epsilon 4 allele of the apolipoprotein E gene (APOE). To identify new candidate genes, we recently performed transcriptomic analysis of 2741 genes in chromosomal regions of interest using brain tissue of AD cases and controls. From 82 differentially expressed genes, 1156 polymorphisms were genotyped in two independent discovery subsamples (n=945). Seventeen genes exhibited at least one polymorphism associated with AD risk, and following correction for multiple testing, we retained the interleukin (IL)-33 gene. We first confirmed that the IL-33 expression was decreased in the brain of AD cases compared with that of controls. Further genetic analysis led us to select three polymorphisms within this gene, which we analyzed in three independent case-control studies. These polymorphisms and a resulting protective haplotype were systematically associated with AD risk in non-APOE epsilon 4 carriers. Using a large prospective study, these associations were also detected when analyzing the prevalent and incident AD cases together or the incident AD cases alone. These polymorphisms were also associated with less cerebral amyloid angiopathy (CAA) in the brain of non-APOE epsilon 4 AD cases. Immunohistochemistry experiments finally indicated that the IL-33 expression was consistently restricted to vascular capillaries in the brain. Moreover, IL-33 overexpression in cellular models led to a specific decrease in secretion of the A beta(40) peptides, the main CAA component. In conclusion, our data suggest that genetic variants in IL-33 gene may be associated with a decrease in AD risk potentially in modulating CAA formation.

Evidence for induction of the ornithine transcarbamylase expression in Alzheimer's disease

To more rapidly identify candidate genes located within chromosomal regions of interest defined by genome scan studies in Alzheimer's disease (AD), we have developed a customized microarray containing all the ORFs (n=2741) located within nine of these regions. Levels of gene expression were assessed in total RNA from brain tissue of 12 controls and 12 AD patients. Of all genes showing differential expression, we focused on the ornithine transcarbamylase (OTC) gene on Xp21.1., a key enzyme of the urea cycle which we found to be expressed in AD brains but not in controls, as confirmed by RT-PCR. We also detected mRNA expression of all the other urea cycle enzymes in AD brains. Immunochemistry experiments revealed that the OTC expression was strictly restricted to vascular endothelial cells in brain. Furthermore, OTC activity was 880% increased in the CSF of probable AD cases compared with controls. We analysed the association of the OTC -389 G/A and -241 A/G promoter polymorphisms with the risk of developing AD. We observed that rare haplotypes may be associated with the risk of AD through a possible modulation of the methylation of the OTC promoter. In conclusion, our results suggest the involvement of a new pathway in AD brains involving the urea cycle.

Is the ornithine transcarbamylase gene a genetic determinant of Alzheimer's disease?

Expression of ornithine transcarbamylase (OTC) is strongly induced in the brain of individuals suffering from Alzheimer's Disease (AD). Association studies in a population from northern France have revealed that two SNPs -389 G/A (rs5963409) and -241 A/G (rs5963411) located in the promoter of the OTC gene are associated with the risk of developing AD. In the present work, these association studies were extended to a population of 2113 AD cases and 1580 controls from northern France, western France, the United Kingdom and Italy. The rs5963409 minor allele was weakly but significantly associated with an increased risk of developing AD (OR=1.19, p=0.004). This association was independent of age and ApoE status. Our results support that the OTC gene may be a minor genetic determinant of AD.

In silico gene selection for custom oligonucleotide microarray design

A method for systematically selecting the large number of sequences needed to custom design an oligonucleotide microarray was presented. This approach uses a Perl script to query sequence databases with gene lists obtained from previously designed (and publicly available) microarrays. Homologous sequences passing a user-defined threshold are returned and stored in a candidate gene database. Using this versatile technique, microarrays can be designed for any organism having sequence data. In addition, the ability to select specific input gene lists allows the design of microarrays tailored to address questions pertaining to specific pathways or processes. Given recent concerns about the accuracy of annotation in public sequence databases, it is also necessary to confirm the correct orientation of candidate sequences. This step is performed by a second Perl script that extracts protein similarity information from individual Unigene records, checks for consistency of features, and adds this information to the candidate gene database. Discrepancies between the orientations determined using protein similarities and that predicted by a given sequence's assigned orientation are readily apparent by querying the candidate gene database.

DNA chip technology in brain banks: confronting a degrading world

DNA microarray technology is based on the principle of hybridization between 2 complementary strands of nucleic acids, one being fixed into a solid membrane, the other being the sample to analyze. This has resulted in a very powerful method to examine differential gene expression between samples, and has been widely used in the study of tumors. The application of DNA microarray technology to the study of the nervous system has to consider several properties of the nervous tissue: composition of various neuronal types, as well as astrocytes, oligodendrocytes, and microglia; regional and area differences; developmental and age-dependent variations; and functional and pathological status. Moreover, human samples are usually obtained postmortem following variable agonal periods and postmortem delays between death and tissue preservation, which are accompanied by variable RNA degradation. Yet human postmortem nervous tissue stored in brain banks offers a unique opportunity to facilitate material for the study of diseases of the nervous system and to gain direct understanding on the mechanisms of disease. This review analyzes the application of DNA microarray technology to current practice using brain-banked tissues in order to recognize and minimize sub-optimal processing of brain samples and to correct pitfalls due to inadequate procedures. Also discussed are RNA preservation and RNA degradation effects on expression pattern assessments, analysis of individual versus pooled samples, array normalization, types of DNA chip platforms, whole genomic analysis versus specialized chips, and microgenomics. Minimizing RNA degradation and improving detection of resistant RNA in postmortem brain has been considered in detail in order to improve the efficiency and reliability of DNA microarray technology employed in the study of human postmortem nervous tissue.

In silico gene selection strategy for custom microarray design

Microarray technology has become an important tool for studying large-scale gene expression for a diversity of biological applications. However, there are a number of experimental settings for which commercial arrays are either unsuitable or unavailable despite the existence of sequence information. With the increasing availability of custom array manufacturing services, it is now feasible to design high-density arrays for any organism having sequence data. However, there have been relatively few reports discussing gene selection, an important first step in array design. Here we propose an in silico strategy for custom micro-array gene selection that is applicable to a wide range of organisms, based on utilizing public domain microarray information to interrogate existing sequence data and to identify a set of homologous genes in any organism of interest. We demonstrate the utility of this approach by applying it to the selection of candidate genes for a custom Xenopus laevis microarray. A significant finding of this study is that 3%–4% of Xenopus expressed sequence tags (ESTs) are in an orientation contrary to that indicated in the public database entry ( http://mssaha.people.wm.edu/suppMSS.html ).