Deep sequencing-based expression analysis shows major advances in robustness, resolution and inter-lab portability over five microarray platforms

The hippocampal expression profiles of wild-type mice and mice transgenic for δC-doublecortin-like kinase were compared with Solexa/Illumina deep sequencing technology and five different microarray platforms. With Illumina's digital gene expression assay, we obtained ∼2.4 million sequence tags per sample, their abundance spanning four orders of magnitude. Results were highly reproducible, even across laboratories. With a dedicated Bayesian model, we found differential expression of 3179 transcripts with an estimated false-discovery rate of 8.5%. This is a much higher figure than found for microarrays. The overlap in differentially expressed transcripts found with deep sequencing and microarrays was most significant for Affymetrix. The changes in expression observed by deep sequencing were larger than observed by microarrays or quantitative PCR. Relevant processes such as calmodulin-dependent protein kinase activity and vesicle transport along microtubules were found affected by deep sequencing but not by microarrays. While undetectable by microarrays, antisense transcription was found for 51% of all genes and alternative polyadenylation for 47%. We conclude that deep sequencing provides a major advance in robustness, comparability and richness of expression profiling data and is expected to boost collaborative, comparative and integrative genomics studies

Serial analysis of gene expression predicts structural differences in hippocampus of long attack latency and short attack latency mice

The genetically selected long attack latency (LAL) and short attack latency (SAL) mice differ in a wide variety of behavioural traits and display differences in the serotonergic system and the hypothalamus-pituitary-adrenocortical (HPA)-axis. Serial analysis of gene expression (SAGE) was used to generate a hippocampal expression profile of almost 30 000 genes in LAL and SAL mice. Using SAGE, we found differential expression of 191 genes. Among these were genes involved in growth, signal transduction, and cell metabolism. The SAGE study was supported by GeneChip analysis (Affymetrix). Strikingly, both SAGE and GeneChips showed a higher expression of numerous cytoskeleton genes, such as cofilin and several tubulin isotypes in LAL mice. LAL mice also showed a higher expression of several calmodulin-related genes and genes encoding components of a MAPK cascade, namely raf-related oncogene and ERK2. The findings were confirmed by in situ hybridization. Our results of differential expression of cytoskeleton and signal transduction genes therefore suggest differential regulation of the raf/ERK pathway that may be related to structural differences in the hippocampus of LAL and SAL mice. As stress-related disorders, such as depression, are also linked to differential regulation of the HPA-axis and the serotonergic system and are associated with altered hippocampal morphology, differential regulation of these genes may be involved in the pathogenesis of these diseases

GeneChip analysis of hippocampal gene expression profiles of short- and long-attack-latency mice:Technical and biological implications

To gain insight into the molecular mechanisms underlying the behavioral differences between two mouse lines genetically selected for long and short attack latency (LAL and SAL mice, respectively), we have recently applied the large-scale gene expression profiling method known as serial analysis of gene expression (SAGE) to generate hippocampal gene expression profiles of these mice. The aim of the present study is to extend and validate the SAGE expression profile of hippocampi of LAL and SAL mice using GeneChips (Affymetrix, Santa Clara, CA; one array per mouse, n = 5 per mouse line). As was the case with SAGE, GeneChips detect only medium- to high-abundance genes in the hippocampus. Extensive analysis of GeneChip data using very stringent parameters shows differential expression of 122 genes, all except one of which were expressed at higher levels in LAL mice (P <0.01). As predicted by SAGE, our data indicate higher expression of several cytoskeleton genes in LAL mice, suggesting longer axonal and dendritic projections in the hippocampus of these mice. This is consistent with our tentative model, in which the behavioral differences between LAL and SAL mice may be related to structural differences in the hippocampus. In addition, a group of 76 genes with diverse biological function and 46 expressed sequence tags (ESTs) were all expressed at higher levels in LAL mice. A novel finding in this study was the significantly lower expression of only a single gene, growth arrest-specific gene (gas5), in LAL mice. As gas5 does not encode a protein but several small nuclear RNAs, our data suggest that small RNAs may contribute to the molecular mechanisms underlying the extreme behavioral differences between LAL and SAL mice. (C) 2003 Wiley-Liss, Inc

GeneChip analysis of hippocampal gene expression profiles of short- and long-attack-latency mice:Technical and biological implications

To gain insight into the molecular mechanisms underlying the behavioral differences between two mouse lines genetically selected for long and short attack latency (LAL and SAL mice, respectively), we have recently applied the large-scale gene expression profiling method known as serial analysis of gene expression (SAGE) to generate hippocampal gene expression profiles of these mice. The aim of the present study is to extend and validate the SAGE expression profile of hippocampi of LAL and SAL mice using GeneChips (Affymetrix, Santa Clara, CA; one array per mouse, n = 5 per mouse line). As was the case with SAGE, GeneChips detect only medium- to high-abundance genes in the hippocampus. Extensive analysis of GeneChip data using very stringent parameters shows differential expression of 122 genes, all except one of which were expressed at higher levels in LAL mice (P <0.01). As predicted by SAGE, our data indicate higher expression of several cytoskeleton genes in LAL mice, suggesting longer axonal and dendritic projections in the hippocampus of these mice. This is consistent with our tentative model, in which the behavioral differences between LAL and SAL mice may be related to structural differences in the hippocampus. In addition, a group of 76 genes with diverse biological function and 46 expressed sequence tags (ESTs) were all expressed at higher levels in LAL mice. A novel finding in this study was the significantly lower expression of only a single gene, growth arrest-specific gene (gas5), in LAL mice. As gas5 does not encode a protein but several small nuclear RNAs, our data suggest that small RNAs may contribute to the molecular mechanisms underlying the extreme behavioral differences between LAL and SAL mice. (C) 2003 Wiley-Liss, Inc

The effect of chronic exposure to highly aggressive mice on hippocampal gene expression of non-aggressive subordinates

Exposure to a chronic psychosocial stressor changes the behavioral and neuroendocrine response pattern and causes structural changes in the rodent hippocampus. However, the underlying molecular mechanism of these changes induced by chronic stress is largely unknown. Recently, it was shown that exposure to a dominant highly aggressive mouse in the sensory contact model induced long-lasting stress symptoms in subordinate mice genetically selected for long attack latency (LAL mice). The aim of the present study was to study the effect of chronic stress on hippocampal gene expression in these subordinate LAL mice. GeneChips (Affymetrix) were used to compare gene expression profiles of LAL mice exposed to a sensory contact stressor for 25 days and their controls (one array per mouse, n = 5 per line). After this stress paradigm, 131 genes were found differentially expressed (P <0.01). Strikingly, all of these genes showed a subtle downregulation in response to a chronic stressor. Interestingly, a significant overrepresentation of genes encoding structural components of ribosomes were found, suggesting diminished protein biosynthesis in the hippocampus of chronically stressed LAL mice. In addition, several genes of the NF kappa B signaling cascade, a pathway crucially involved in neuronal viability and neurite growth, were found to be downregulated. Together, we hypothesize that reduced NF kappa B signaling and diminished protein biosynthesis form part of the molecular mechanisms by which a chronic psychosocial stressor induces structural alterations in hippocampus of LAL mice. (c) 2006 Elsevier B.V. All rights reserved

Physiological and genetic correlates of boldness: characterising the mechanisms of behavioural variation in rainbow trout, Oncorhynchus mykiss

Bold, risk-taking animals have previously been putatively linked with a proactive stress coping style whereas it is suggested shyer, risk-averse animals exhibit a reactive coping style. The aim of this study was to investigate whether differences in the expression of bold-type behaviour were evident within and between two lines of rainbow trout, Oncorhynchus mykiss, selectively bred for a low (LR) or high (HR) endocrine response to stress, and to link boldness and stress responsiveness with the expression of related candidate genes. Boldness was determined in individual fish over two trials by measuring the latency to approach a novel object. Differences in plasma cortisol concentrations and the expression of eight novel candidate genes previously identified as being linked with divergent behaviours or stress were determined. Bold and shy individuals, approaching the object within 180 s or not approaching within 300 s respectively, were evident within each line, and this was linked with activity levels in the HR line. Post-stress plasma cortisol concentrations were significantly greater in the HR line compared with the LR line, and six of the eight tested genes were upregulated in the brains of LR fish compared with HR fish. However, no direct relationship between boldness and either stress responsiveness or gene expression was found, although clear differences in stress physiology and, for the first time, gene expression could be identified between the lines. This lack of correlation between physiological and molecular responses and behavioural variation within both lines highlights the complexity of the behavioural-physiological complex