Jose Luis Paya-Cano

Hippocampal gene expression profiling across eight mouse inbred strains: towards understanding the molecular basis for behaviour

Mouse inbred strains differ in many aspects of their phenotypes, and it is known that gene expression does so too. This gives us an opportunity to isolate the genetic aspect of variation in expression and compare it to other phenotypic variables. We have investigated these issues using an eight‐strain expression profile comparison with four replicates per strain on Affymetrix MGU74av2 GeneChips focusing on one well‐defined brain tissue (the hippocampus). We identified substantial strain‐specific variation in hippocampal gene expression, with more than two hundred genes showing strain differences by a very conservative criterion. Many such genetically driven differences in gene expression are likely to result in functional differences including differences in behaviour. A large panel of inbred strains could be used to identify genes functionally involved in particular phenotypes, similar to genetic correlation. The genetic correlation between expression profiles and function is potentially very powerful, especially given the current large‐scale generation of phenotypic data on multiple strains (the Mouse Phenome Project). As an example, the strongest genetic correlation between more than 200 probe sets showing significant differences among our eight inbred strains and a ranking of these strains by aggression phenotype was found for Comt, a gene known to be involved in aggression.

Evidence for general cognitive ability (g) in heterogeneous stock mice and an analysis of potential confounds

The heterogeneous stock (HS) is a genetically outbred line of mice established more than 30 years ago from an 8‐way cross of C57BL/6, BALB/c, RIII, AKR, DBA/2, I, A/J and C3H inbred mouse strains. The present study compared the performance of 40 HS mice across a battery of diverse cognitive tasks under a variety of motivations. Indices of emotionality were also included in order to assess their influence on performance. All measures of ability loaded positively on an unrotated first principal component that accounted for 31% of the variance, suggesting the presence of a common factor of general cognitive ability (g) underlying all tasks. A first factor derived from anxiety indices correlated nonsignificantly with all cognitive tasks and nonsignificantly with this g factor, supporting the hypothesis that the factor is cognitive rather than temperamental in nature. The factor was also robust in relation to outliers and sex differences, accounting for 28% of the variance after removal of outlier individuals and also after correcting for variance owing to sex differences. A general cognitive ability (g) appears to underlie the performance of HS mice on a battery tapping diverse cognitive demands.

Behavioural battery testing: Evaluation and behavioural outcomes in 8 inbred mouse strains

The use of large scale behavioural batteries for the discovery of novel genes underlying behavioural variation has considerable potential. Building a broad behavioural profile serves to better understand the complex interplay of overlapping genetic factors contributing to various paradigms, underpinning a systems biology approach. We devised a battery of tests to dissect and characterise the genetic bases of behavioural phenotypes, but firstly undertook to evaluate several aspects considered potentially confounding for mapping quantitative traits. These included investigating: individual versus sibling housing; testing at different times during the day; battery versus non-battery testing; and initial placement within the light-dark box. Furthermore, we assessed how behavioural profiles differed in our battery across 8 inbred strains. Overall, we found the behavioural battery was most sensitive to paired-housing effects, where weight and some measures in the open field, elevated plus maze and light-dark box differed significantly between sibling housed and singly housed mice. Few large effects were found for testing at different times of day and battery versus non-battery testing. Placement in the light-dark box influenced activity and duration measures, which profoundly affected the analysis outcome. Behavioural profiles across eight inbred strains (C57BL/6J, 129S1/SvImJ, A/J, BALB/cByJ, C3H/HeJ, DBA/2J, FVB/NJ, and SJL/J) demonstrated some robust strain ranking differences for measures in the open field and light-dark tests in our battery. However, some tests such as the elevated plus maze produced incongruous strain ranking effects across measures. The findings reported herein bear out the promise of behavioural batteries for mapping naturally occurring variation in mouse reference populations.

Antidepressants and the resilience to early-life stress in inbred mouse strains

Rationale Selecting an effective treatment for patients with major depressive disorder is a perpetual problem for psychiatrists. It is of particular interest to explore the interaction between genetic predisposition and environmental factors. Objectives Mouse inbred strains vary in baseline performance in depression-related behaviour tests, which were originally validated as tests of antidepressant response. Therefore, we investigated interactions between environmental stress, genotype, and drug response in a multifactorial behaviour study. Method Our study design included four inbred mouse strains (129S1/SvlmJ, C57LB/6J, DBA/2J and FVB/NJ) of both sexes, two subjected to environmental manipulations (maternal separation and unpredictable chronic mild stress) and two representative of treatment with antidepressants (escitalopram and nortryptiline vs. vehicle). The mice treated with antidepressants were further divided into those administered acute (1 day) and subchronic (14 days) regimes, giving 144 experimental groups in all, each with at least seven animals. All animals were tested using the Porsolt forced-swim test (FST) and the hole-board test. Results Despite a 24-h maternal separation (MS) or a 14-day unpredictable chronic mild stress protocol, most animals seemed to be resilient to the stress induced. One compelling finding is the long-lasting, strain-specific effect of MS resulting in an increased depression-like behaviour in the Porsolt FST and elevated anxiety-related behaviour in the hole-board test seen in 129S1/SvImJ mice. Nortriptyline was effective in reversing the effect of MS in the FST in 129S1/SvlmJ male mice. Conclusion A single 24-h maternal separation of pups from their mother on postnatal day 9 is a sufficient insult to result in a depression-like phenotype in adult 129S1/SvImJ mice but not in C57LB/6 J, DBA/2 J, and FVB/NJ mice.

Antidepressant-dependent mRNA changes in mouse associated with hippocampal neurogenesis in a mouse model of depression

Rationale Monoaminergic imbalances play a role in the pathogenesis of depression and most common antidepressant drugs act on monoamine neurotransmitters. However, the lag time between restoring neurochemical balance and symptom improvement suggests that the response to drugs involves complex biological events downstream of primary targets that have not yet been fully characterized. Here, we report a mouse mRNA expression study to evaluate the effect of escitalopram (a serotonergic antidepressant) and nortriptyline (a noradrenergic antidepressant) on genes that are involved in the pathogenesis of depression and to assess the similarities and differences between two drugs on gene expression levels. Methods Genome-wide RNA expression data from the hippocampal tissues of four inbred mouse strains (129S1/SvlmJ, C57LB/6J, DBA/2J and FVB/NJ) were treated with varying doses of either nortriptyline (NRI) or escitalopram (SSRI) and subjected to two different depressogenic protocols. Following robust multichip average normalization, we applied the nonparametric RankProd approach to identify differentially expressed genes in response to drugs across the four strains. Pathway analysis was subsequently carried out on top-ranking genes to gain further biological insights. Results A total of 371 genes were significantly differentially expressed in response to nortriptyline, whereas 383 were altered by escitalopram. Genes involved in the pathways of integrin signalling (Fnlb, Mapk1, Mapk8), synaptic transmission (Cacnb1, Dnajc5, Kcnma1, Slc1a2) or Huntington disease (Crebbp, Dlg4, Ncor1) were altered by both nortriptyline and escitalopram. Several biological processes and pathways were identified, which could explain the divergence between the molecular mechanisms of nortriptyline and escitalopram. Conclusion From a large-scale animal study, we obtain gene sets comprised of commonly and differentially expressed genes in response to different antidepressant drug treatments. The results may help to characterize the response to antidepressant treatment, shed further light on the neurobiology of depressive disorders and inform future animal and human studies. Finally, the top-ranking pathways from Ingenuity provide further evidence for the hippocampal neurogenesis hypothesis of major depressive disorders.

Wfs1 gene deletion causes growth retardation in mice and interferes with the growth hormone pathway

The aim of present study was to describe changes in gene expression in the temporal lobe of mice induced by deletion of the Wfs1 gene. Temporal lobes samples were analyzed using Affymetrix Mouse Genome 420 2 GeneChips and expression profiles were functionally annotated with GSEA and Ingenuity Pathway Analysis. We found that Wfs1 mutant mice are significantly smaller (20.9 +/- 1.6 g) than their wild-type counterparts (31.0 +/- 0.6 g, P < 0.0001). This difference existed in 129S6 and C57B6 backgrounds. Interestingly, microarray analysis identified upregulation of growth hormone (GH) transcripts and functional analysis revealed activation of GH pathways. In line with microarray data, the level of IGF-1 in the plasma of Wfs1 mutant mice was significantly increased (P < 0.05). Thus, Wfs1 deletion induces growth retardation, whereas the GH pathway is activated. To test the interaction between the Wfs1 deletion and genomic background, mutant mice were backcrossed to two different genetic backgrounds. In line with previous studies, an interaction between a gene knockout and genetic background was found in gene expression profiles in the congenic region. However, genetic background did not alter the effect of the Wfs1 mutation on either body weight or GH pathway activation. Further studies are needed to describe biochemical and molecular changes of the growth hormone axis as well as in other hormones to clarify their role in growth retardation in the Wfs1 mutant mice.

Quantitative traits for the tail suspension test: automation, optimization, and BXD RI mapping

Immobility in the tail suspension test (TST) is considered a model of despair in a stressful situation, and acute treatment with antidepressants reduces immobility. Inbred strains of mouse exhibit widely differing baseline levels of immobility in the TST and several quantitative trait loci (QTLs) have been nominated. The labor of manual scoring and various scoring criteria make obtaining robust data and comparisons across different laboratories problematic. Several studies have validated strain gauge and video analysis methods by comparison with manual scoring. We set out to find objective criteria for automated scoring parameters that maximize the biological information obtained, using a video tracking system on tapes of tail suspension tests of 24 lines of the BXD recombinant inbred panel and the progenitor strains C57BL/6J and DBA/2J. The maximum genetic effect size is captured using the highest time resolution and a low mobility threshold. Dissecting the trait further by comparing genetic association of multiple measures reveals good evidence for loci involved in immobility on chromosomes 4 and 15. These are best seen when using a high threshold for immobility, despite the overall better heritability at the lower threshold. A second trial of the test has greater duration of immobility and a completely different genetic profile. Frequency of mobility is also an independent phenotype, with a distal chromosome 1 locus.

Genes and gene networks implicated in aggression related behaviour

Aggressive behaviour is a major cause of mortality and morbidity. Despite of moderate heritability estimates, progress in identifying the genetic factors underlying aggressive behaviour has been limited. There are currently three genetic mouse models of high and low aggression created using selective breeding. This is the first study to offer a global transcriptomic characterization of the prefrontal cortex across all three genetic mouse models of aggression. A systems biology approach has been applied to transcriptomic data across the three pairs of selected inbred mouse strains (Turku Aggressive (TA) and Turku Non-Aggressive (TNA), Short Attack Latency (SAL) and Long Attack Latency (LAL) mice and North Carolina Aggressive (NC900) and North Carolina Non-Aggressive (NC100)), providing novel insight into the neurobiological mechanisms and genetics underlying aggression. First, weighted gene co-expression network analysis (WGCNA) was performed to identify modules of highly correlated genes associated with aggression. Probe sets belonging to gene modules uncovered by WGCNA were carried forward for network analysis using ingenuity pathway analysis (IPA). The RankProd non-parametric algorithm was then used to statistically evaluate expression differences across the genes belonging to modules significantly associated with aggression. IPA uncovered two pathways, involving NF-kB and MAPKs. The secondary RankProd analysis yielded 14 differentially expressed genes, some of which have previously been implicated in pathways associated with aggressive behaviour, such as Adrbk2. The results highlighted plausible candidate genes and gene networks implicated in aggression-related behaviour.

Genetic variation in hippocampal microRNA expression differences in C57BL/6 J X DBA/2 J (BXD) recombinant inbred mouse strains

BackgroundmiRNAs are short single-stranded non-coding RNAs involved in post-transcriptional gene regulation that play a major role in normal biological functions and diseases. Little is currently known about how expression of miRNAs is regulated. We surveyed variation in miRNA abundance in the hippocampus of mouse inbred strains, allowing us to take a genetic approach to the study of miRNA regulation, which is novel for miRNAs. The BXD recombinant inbred panel is a very well characterized genetic reference panel which allows quantitative trait locus (QTL) analysis of miRNA abundance and detection of correlates in a large store of brain and behavioural phenotypes.ResultsWe found five suggestive trans QTLs for the regulation of miRNAs investigated. Further analysis of these QTLs revealed two genes, Tnik and Phf17, under the miR-212 regulatory QTLs, whose expression levels were significantly correlated with miR-212 expression. We found that miR-212 expression is correlated with cocaine-related behaviour, consistent with a reported role for this miRNA in the control of cocaine consumption. miR-31 is correlated with anxiety and alcohol related behaviours. KEGG pathway analysis of each miRNA’s expression correlates revealed enrichment of pathways including MAP kinase, cancer, long-term potentiation, axonal guidance and WNT signalling.ConclusionsThe BXD reference panel allowed us to establish genetic regulation and characterize biological function of specific miRNAs. QTL analysis enabled detection of genetic loci that regulate the expression of these miRNAs. eQTLs that regulate miRNA abundance are a new mechanism by which genetic variation influences brain and behaviour. Analysis of one of these QTLs revealed a gene, Tnik, which may regulate the expression of a miRNA, a molecular pathway and a behavioural phenotype. Evidence of genetic covariation of miR-212 abundance and cocaine related behaviours is strongly supported by previous functional studies, demonstrating the value of this approach for discovery of new functional roles and downstream processes regulated by miRNA.

Pharmacoproteomic investigation into antidepressant response in two mouse inbred strains

In this study, we present a pharmacoproteomic investigation of response to antidepressants two inbred strains. Our aim was to uncover molecular mechanisms underlying antidepressant action and identify new biomarkers to determine therapeutic response to two antidepressants with proven efficacy in the treatment of depression but divergent mechanisms of action. Mice were treated with the pro‐noradrenergic drug nortriptyline, the pro‐serotonergic drug escitalopram or saline. Quantitative proteomic analyses were undertaken on hippocampal tissue from a study design that used two inbred mouse strains, two depressogenic protocols and a control condition, (maternal separation, chronic mild stress, control), two antidepressant drugs and two dosing protocols. The proteomic analysis was aimed at the identification of specific drug‐response markers. Complementary approaches, 2DE and isobaric tandem mass tagging (TMT), were applied to the selected experimental groups. To investigate the relationship between proteomic profiles, depressogenic protocols and drug response, 2DE and TMT data sets were analysed using multivariate methods. The results highlighted significant strain‐ and stress‐related differences across both 2DE and TMT data sets and identified the three gene products involved in serotonergic (PXBD5, YHWAB, SLC25A4) and one in noradrenergic antidepressant action (PXBD6).