Large-scale expression analysis reveals distinct microRNA profiles at different stages of human neurodevelopment.

BACKGROUND: MicroRNAs (miRNAs) are short non-coding RNAs predicted to regulate one third of protein coding genes via mRNA targeting. In conjunction with key transcription factors, such as the repressor REST (RE1 silencing transcription factor), miRNAs play crucial roles in neurogenesis, which requires a highly orchestrated program of gene expression to ensure the appropriate development and function of diverse neural cell types. Whilst previous studies have highlighted select groups of miRNAs during neural development, there remains a need for amenable models in which miRNA expression and function can be analyzed over the duration of neurogenesis. PRINCIPAL FINDINGS: We performed large-scale expression profiling of miRNAs in human NTera2/D1 (NT2) cells during retinoic acid (RA)-induced transition from progenitors to fully differentiated neural phenotypes. Our results revealed dynamic changes of miRNA patterns, resulting in distinct miRNA subsets that could be linked to specific neurodevelopmental stages. Moreover, the cell-type specific miRNA subsets were very similar in NT2-derived differentiated cells and human primary neurons and astrocytes. Further analysis identified miRNAs as putative regulators of REST, as well as candidate miRNAs targeted by REST. Finally, we confirmed the existence of two predicted miRNAs; pred-MIR191 and pred-MIR222 associated with SLAIN1 and FOXP2, respectively, and provided some evidence of their potential co-regulation. CONCLUSIONS: In the present study, we demonstrate that regulation of miRNAs occurs in precise patterns indicative of their roles in cell fate commitment, progenitor expansion and differentiation into neurons and glia. Furthermore, the similarity between our NT2 system and primary human cells suggests their roles in molecular pathways critical for human in vivo neurogenesis.

Analysis of behavior using genetical genomics in mice as a model: from alcohol preferences to gene expression differences.

Most familial behavioral phenotypes result from the complex interaction of multiple genes. Studies of such phenotypes involving human subjects are often inconclusive owing to complexity of causation and experimental limitations. Studies of animal models argue for the use of established genetic strains as a powerful tool for genetic dissection of behavioral disorders and have led to the identification of rare genes and genetic mechanisms implicated in such phenotypes. We have used microarrays to study global gene expression in adult brains of four genetic strains of mice (C57BL/6J, DBA/2J, A/J, and BALB/c). Our results demonstrate that different strains show expression differences for a number of genes in the brain, and that closely related strains have similar patterns of gene expression as compared with distantly related strains. In addition, among the 24 000 genes and ESTs on the microarray, 77 showed at least a 1.5-fold increase in the brains of C57BL/6J mice as compared with those of DBA/2J mice. These genes fall into such functional categories as gene regulation, metabolism, cell signaling, neurotransmitter transport, and DNA/RNA binding. The importance of these findings as a novel genetic resource and their use and application in the genetic analysis of complex behavioral phenotypes, susceptibilities, and responses to drugs and chemicals are discussed.

Integrative strategies to identify candidate genes in rodent models of human alcoholism.

The search for genes underlying alcohol-related behaviours in rodent models of human alcoholism has been ongoing for many years with only limited success. Recently, new strategies that integrate several of the traditional approaches have provided new insights into the molecular mechanisms underlying ethanol's actions in the brain. We have used alcohol-preferring C57BL/6J (B6) and alcohol-avoiding DBA/2J (D2) genetic strains of mice in an integrative strategy combining high-throughput gene expression screening, genetic segregation analysis, and mapping to previously published quantitative trait loci to uncover candidate genes for the ethanol-preference phenotype. In our study, 2 genes, retinaldehyde binding protein 1 (Rlbp1) and syntaxin 12 (Stx12), were found to be strong candidates for ethanol preference. Such experimental approaches have the power and the potential to greatly speed up the laborious process of identifying candidate genes for the animal models of human alcoholism.

Towards unraveling ethanol-specific neuro-metabolomics based on ethanol responsive genes in vivo.

The search for genetic causes involved in alcohol dependence/response has been challenging. Understanding the mechanisms of action and interaction of the genes implicated in alcohol response is a key towards understanding the problem. Sixty-nine ethanol responsive genes were used in a detailed genome-wide examination to study their neuro-metabolomics. These genes displayed very close interactions among themselves with over 400 regulation events and 100 expression events contributing to 15 different cell processes including cell signaling, transport and proliferation. Acute ethanol produces a global effect on the neuro-metabolome. Ethanol alone was found to interact with over 1000 genes and cell events. The study revealed that the ethanol responsive genes directly regulate and are themselves regulated by the activity of other proteins and cell processes. We propose a pathway involving nine interacting ethanol responsive genes, which may determine differential ethanol effects in the brain in vivo.

Genetic segregation of brain gene expression identifies retinaldehyde binding protein 1 and syntaxin 12 as potential contributors to ethanol preference in mice.

Genetic strains of mice represent an important resource for research on the biological determinants of complex diseases and behavioral phenotypes. To date, the approaches used have had little success in identifying causal genes. We have evaluated brain gene expression in C57BL/6J (B6) and DBA/2J (D2) inbred mouse strains using differential display to identify a number of sequences showing significant expression differences between the two strains. These differences were confirmed by semi-quantitative reverse transcription-polymerase chain reaction (RT-PCR) and real-time PCR. Knowing that B6 and D2 mouse strains differ for a number of behavioral phenotypes, we asked whether this difference in brain gene expression could explain any of these traits. Here, we show that the expression of two of these genes, retinaldehyde binding protein 1 (Rlbp1) and syntaxin 12 (Stx12), co-segregate with the ethanol preference phenotype in a B6D2 F2 population. Our results suggest a potential role for Rlbp1 and Stx12 in ethanol preference in mice, a conclusion supported by the location of these genes in quantitative trait loci (QTL) regions for this phenotype. This experimental approach has the potential for a broad application in the assessment of the roles of differentially expressed genes in a variety of complex phenotypes, with the advantage of identifying novel and potentially causal candidate genes directly.

Microarray analysis of mouse brain gene expression following acute ethanol treatment.

Alterations in gene expression are thought to help mediate certain effects of alcohol in the brain. We have analyzed the expression of approximately 24,000 genes using oligonucleotide microarrays to examine the brain expression profiles in two strains of inbred mice, C57BL/6J and DBA/2J, following exposure to an acute dose of ethanol. Our screen identified 61 genes responding to the ethanol treatment beyond a 1.5-fold threshold, with 46 genes altered in both mouse strains and 15 altered in only one strain. Approximately 25% of the genes were selected for confirmation by reverse transcriptase polymerase chain reaction with an 87% success rate. The genes identified have roles in cell signaling, gene regulation, and homeostasis/stress response. Although some of the genes were previously known to be ethanol responsive, we have for the most part identified novel genes involved in the acute murine brain response to ethanol. Such genes have the potential to represent candidate genes in the search to elucidate the molecular pathways mediating ethanol's effects in the brain.