Microarrays--the challenge of preparing brain tissue samples

Acute stress enhances the expression of neuroprotection- and neurogenesis-associated genes in the hippocampus of a mouse restraint model

Stress arises from an external demand placed on an organism that triggers physiological, cognitive and behavioural responses in order to cope with that request. It is thus an adaptive response useful for the survival of an organism. The objective of this study was to identify and characterize global changes in gene expression in the hippocampus in response to acute stress stimuli, by employing a mouse model of short-term restraint stress. In our experimental design mice were subjected to a one time exposure of restraint stress and the regulation of gene expression in the hippocampus was examined 3, 12 and 24 hours thereafter. Microarray analysis revealed that mice which had undergone acute restraint stress differed from non-stressed controls in global hippocampal transcriptional responses. An up-regulation of transcripts contributing directly or indirectly to neurogenesis and neuronal protection including, Ttr, Rab6, Gh, Prl, Ndufb9 and Ndufa6, was observed. Systems level analyses revealed a significant enrichment for neurogenesis, neuron morphogenesis- and cognitive functions-related biological process terms and pathways. This work further supports the hypothesis that acute stress mediates a positive action on the hippocampus favouring the formation and the preservation of neurons, which will be discussed in the context of current data from the literature.

Biomarkers of hippocampal gene expression in a mouse restraint chronic stress model

OBJECTIVE

Acute stress provides many beneficial effects whereas chronic stress contributes to a variety of human health issues including anxiety, depression, gastrointestinal problems, cardiac disease, sleep disorders and obesity. The goal of this work was to identify, using a rodent model, hippocampal gene signatures associated with prolonged chronic stress representing candidate biomarkers and therapeutic targets for early diagnosis and pharmacological intervention for stress induced disease.

MATERIALS & METHODS

Mice underwent 'restraint stress' over 7 consecutive days and hippocampal gene-expression changes were analyzed at 3, 12 and 24 h following the final restraint treatment.

RESULTS

Data indicated that mice exposed to chronic restraint stress exhibit a differential gene-expression profile compared with non-stressed controls. The greatest differences were observed 12 and 24 h following the final stress test.

CONCLUSION

Our study indicated that Gpr88, Ttr, Gh and Tac1 mRNAs were modulated in mice exposed to chronic restraint stress. These transcripts represent a panel of biomarkers and druggable targets for further analysis in the context of chronic stress associated disease in humans.

Antibacterial effect of mesenchymal stem cells against Escherichia coli is mediated by secretion of beta- defensin- 2 via toll- like receptor 4 signalling

Recently, we demonstrated that intratracheal transplantation of human umbilical cord blood‐ derived mesenchymal stem cells (MSCs) attenuates Escherichia (E) coli‐ induced acute lung injury primarily by down‐ modulating inflammation and enhancing bacterial clearance iQn mice. This study was performed to elucidate the mechanism underlying the antibacterial effects of MSCs. The growth of E. coli in vitro was significantly inhibited only by MSCs or their conditioned medium with bacterial preconditioning, but not by fibroblasts or their conditioned medium. Microarray analysis identified significant up‐ regulation of toll‐ like receptors (TLR)‐ 2 and TLR‐ 4, and β‐ defensin 2 (BD2) in MSCs compared with fibroblasts after E. coli exposure. The increased BD2 level and the in vitro antibacterial effects of MSCs were abolished by specific antagonist or by siRNA‐ mediated knockdown of TLR‐ 4, but not TLR‐ 2, and restored by BD2 supplementation. The in vivo down‐ modulation of the inflammatory response and enhanced bacterial clearance, increased BD2 secretion and the resultant protection against E. coli‐ induced pneumonia observed only with MSCs, but not fibroblasts, transplantation in mice, were abolished by knockdown of TLR‐ 4 with siRNA transfection. Our data indicate that BD2 secreted by the MSCs via the TLR‐ 4 signalling pathway is one of the critical paracrine factors mediating their microbicidal effects against E. coli, both in vitro and in vivo. Furthermore, TLR‐ 4 from the transplanted MSCs plays a seminal role in attenuating in vivo E. coli‐ induced pneumonia and the ensuing acute lung injury through both its anti‐ inflammatory and antibacterial effects.

Complement activation in multiple sclerosis plaques: an immunohistochemical analysis

Introduction

Inflammation and complement activation are firmly implicated in the pathology of multiple sclerosis; however, the extent and nature of their involvement in specific pathological processes such as axonal damage, myelin loss and disease progression remains uncertain. This study aims to bring clarity to these questions.

Results

We describe a detailed immunohistochemical study to localise a strategically selected set of complement proteins, activation products and regulators in brain and spinal cord tissue of 17 patients with progressive multiple sclerosis and 16 control donors, including 9 with central nervous system disease. Active, chronic active and chronic inactive multiple sclerosis plaques (35 in total) and non-plaque areas were examined.

Multiple sclerosis plaques were consistently positive for complement proteins (C3, factor B, C1q), activation products (C3b, iC3b, C4d, terminal complement complex) and regulators (factor H, C1-inhibitor, clusterin), suggesting continuing local complement synthesis, activation and regulation despite the absence of other evidence of ongoing inflammation. Complement staining was most apparent in plaque and peri-plaque but also present in normal appearing white matter and cortical areas to a greater extent than in control tissue. C1q staining was present in all plaques suggesting a dominant role for the classical pathway. Cellular staining for complement components was largely restricted to reactive astrocytes, often adjacent to clusters of microglia in close apposition to complement opsonised myelin and damaged axons.

Conclusions

The findings demonstrate the ubiquity of complement involvement in multiple sclerosis, suggest a pathogenic role for complement contributing to cell, axon and myelin damage and make the case for targeting complement for multiple sclerosis monitoring and therapy.

Electronic supplementary material

The online version of this article (doi:10.1186/2051-5960-2-53) contains supplementary material, which is available to authorized users.

Microarray RNA transcriptional profiling: Part I. Platforms, experimental design and standardization

This review summarizes, in a balanced and comprehensive manner, the various components of microarrays and their types, substrate architecture, platforms for microarray probe implementation, standardizations and confounders. The review is intended to familiarize the beginner with the principles of experimental design and the selection of an appropriate microarray platform. This parallel technology has revolutionized transcriptomic approaches to data profiling and has a major role in the identification of expressed genes, classification and diagnosis studies. The technology is still evolving and guidelines for standardization and reporting have been developed and are being improved.

Time-dependent changes in gene expression induced by secreted amyloid precursor protein-alpha in the rat hippocampus

Background

Differential processing of the amyloid precursor protein liberates either amyloid-ß, a causative agent of Alzheimer’s disease, or secreted amyloid precursor protein-alpha (sAPPα), which promotes neuroprotection, neurotrophism, neurogenesis and synaptic plasticity. The underlying molecular mechanisms recruited by sAPPα that underpin these considerable cellular effects are not well elucidated. As these effects are enduring, we hypothesised that regulation of gene expression may be of importance and examined temporally specific gene networks and pathways induced by sAPPα in rat hippocampal organotypic slice cultures. Slices were exposed to 1 nM sAPPα or phosphate buffered saline for 15 min, 2 h or 24 h and sAPPα-associated gene expression profiles were produced for each time-point using Affymetrix Rat Gene 1.0 ST arrays (moderated t-test using Limma: p < 0.05, and fold change ± 1.15).

Results

Treatment of organotypic hippocampal slice cultures with 1 nM sAPPα induced temporally distinct gene expression profiles, including mRNA and microRNA associated with Alzheimer’s disease. Having demonstrated that treatment with human recombinant sAPPα was protective against N-methyl d-aspartate-induced toxicity, we next explored the sAPPα-induced gene expression profiles. Ingenuity Pathway Analysis predicted that short-term exposure to sAPPα elicited a multi-level transcriptional response, including upregulation of immediate early gene transcription factors (AP-1, Egr1), modulation of the chromatin environment, and apparent activation of the constitutive transcription factors CREB and NF-κB. Importantly, dynamic regulation of NF-κB appears to be integral to the transcriptional response across all time-points. In contrast, medium and long exposure to sAPPα resulted in an overall downregulation of gene expression. While these results suggest commonality between sAPPα and our previously reported analysis of plasticity-related gene expression, we found little crossover between these datasets. The gene networks formed following medium and long exposure to sAPPα were associated with inflammatory response, apoptosis, neurogenesis and cell survival; functions likely to be the basis of the neuroprotective effects of sAPPα.

Conclusions

Our results demonstrate that sAPPα rapidly and persistently regulates gene expression in rat hippocampus. This regulation is multi-level, temporally specific and is likely to underpin the neuroprotective effects of sAPPα.

Long-lasting alterations to DNA methylation and ncRNAs could underlie the effects of fetal alcohol exposure in mice

Fetal alcohol spectrum disorders (FASDs) are characterized by life-long changes in gene expression, neurodevelopment and behavior. What mechanisms initiate and maintain these changes are not known, but current research suggests a role for alcohol-induced epigenetic changes. In this study we assessed alterations to adult mouse brain tissue by assaying DNA cytosine methylation and small noncoding RNA (ncRNA) expression, specifically the microRNA (miRNA) and small nucleolar RNA (snoRNA) subtypes. We found long-lasting alterations in DNA methylation as a result of fetal alcohol exposure, specifically in the imprinted regions of the genome harboring ncRNAs and sequences interacting with regulatory proteins. A large number of major nodes from the identified networks, such as Pten signaling, contained transcriptional repressor CTCF-binding sites in their promoters, illustrating the functional consequences of alcohol-induced changes to DNA methylation. Next, we assessed ncRNA expression using two independent array platforms and quantitative PCR. The results identified 34 genes that are targeted by the deregulated miRNAs. Of these, four (Pten, Nmnat1, Slitrk2 and Otx2) were viewed as being crucial in the context of FASDs given their roles in the brain. Furthermore, ∼20% of the altered ncRNAs mapped to three imprinted regions (Snrpn-Ube3a, Dlk1-Dio3 and Sfmbt2) that showed differential methylation and have been previously implicated in neurodevelopmental disorders. The findings of this study help to expand on the mechanisms behind the long-lasting changes in the brain transcriptome of FASD individuals. The observed changes could contribute to the initiation and maintenance of the long-lasting effect of alcohol.

Adjunctive dexamethasone affects the expression of genes related to inflammation, neurogenesis and apoptosis in infant rat pneumococcal meningitis

Streptococcus pneumoniae is the most common pathogen causing non-epidemic bacterial meningitis worldwide. The immune response and inflammatory processes contribute to the pathophysiology. Hence, the anti-inflammatory dexamethasone is advocated as adjuvant treatment although its clinical efficacy remains a question at issue. In experimental models of pneumococcal meningitis, dexamethasone increased neuronal damage in the dentate gyrus. Here, we investigated expressional changes in the hippocampus and cortex at 72 h after infection when dexamethasone was given to infant rats with pneumococcal meningitis. Nursing Wistar rats were intracisternally infected with Streptococcus pneumoniae to induce experimental meningitis or were sham-infected with pyrogen-free saline. Besides antibiotics, animals were either treated with dexamethasone or saline. Expressional changes were assessed by the use of GeneChip® Rat Exon 1.0 ST Arrays and quantitative real-time PCR. Protein levels of brain-derived neurotrophic factor, cytokines and chemokines were evaluated in immunoassays using Luminex xMAP® technology. In infected animals, 213 and 264 genes were significantly regulated by dexamethasone in the hippocampus and cortex respectively. Separately for the cortex and the hippocampus, Gene Ontology analysis identified clusters of biological processes which were assigned to the predefined categories "inflammation", "growth", "apoptosis" and others. Dexamethasone affected the expression of genes and protein levels of chemokines reflecting diminished activation of microglia. Dexamethasone-induced changes of genes related to apoptosis suggest the downregulation of the Akt-survival pathway and the induction of caspase-independent apoptosis. Signalling of pro-neurogenic pathways such as transforming growth factor pathway was reduced by dexamethasone resulting in a lack of pro-survival triggers. The anti-inflammatory properties of dexamethasone were observed on gene and protein level in experimental pneumococcal meningitis. Further dexamethasone-induced expressional changes reflect an increase of pro-apoptotic signals and a decrease of pro-neurogenic processes. The findings may help to identify potential mechanisms leading to apoptosis by dexamethasone in experimental pneumococcal meningitis.

Altered microRNA expression profiles in postmortem brain samples from individuals with schizophrenia and bipolar disorder

BACKGROUND

MicroRNAs (miRNAs) are potent regulators of gene expression with proposed roles in brain development and function. We hypothesized that miRNA expression profiles are altered in individuals with severe psychiatric disorders.

METHODS

With real-time quantitative polymerase chain reaction, we compared the expression of 435 miRNAs and 18 small nucleolar RNAs in postmortem brain tissue samples from individuals with schizophrenia, individuals with bipolar disorder, and psychiatrically healthy control subjects (n = 35 each group). Detailed demographic data, sample selection and storage conditions, and drug and substance exposure histories were available for all subjects. Bayesian model averaging was used to simultaneously assess the impact of these covariates as well as the psychiatric phenotype on miRNA expression profiles.

RESULTS

Of the variables considered, sample storage time, brain pH, alcohol at time of death, and postmortem interval were found to affect the greatest proportion of miRNAs. Of miRNAs analyzed, 19% exhibited positive evidence of altered expression due to a diagnosis of schizophrenia or bipolar disorder. Both conditions were associated with reduced miRNA expression levels, with a much more pronounced effect observed for bipolar disorder.

CONCLUSIONS

This study suggests that modest underexpression of several miRNAs might be involved in the complex pathogenesis of major psychosis.

Gene expression profiling following short-term and long-term morphine exposure in mice uncovers genes involved in food intake

Addictive drugs including opioids activate signal transduction pathways that regulate gene expression in the brain. However, changes in CNS gene expression following morphine exposure are poorly understood. We determined changes in gene expression following short- and long-term morphine treatment in the hypothalamus and pituitary using genome-wide DNA microarray analysis and confirmed those alterations in gene expression by real-time reverse transcriptase polymerase chain reaction (RT-PCR) analysis. In the hypothalamus, short-term morphine administration up-regulated (at least twofold) 39 genes and down-regulated six genes. Long-term morphine treatment up-regulated 35 genes and down-regulated 51 genes. In the pituitary, short-term morphine administration up-regulated 110 genes and down-regulated 29 genes. Long-term morphine treatment up-regulated 85 genes and down-regulated 37 pituitary genes. Microarray analysis uncovered several genes involved in food intake (neuropeptide Y, agouti-related protein, and cocaine and amphetamine-regulated transcript) whose expression was strongly altered by morphine exposure in either the hypothalamus or pituitary. Subsequent RT-PCR analysis confirmed similar regulation in expression of these genes in the hypothalamus and pituitary. Finally, we found functional correlation between morphine-induced alterations in food intake and regulation of genes involved in this process. Changes in genes related to food intake may uncover new pathways related to some of the physiological effects of opioids.

Effects of antemortem and postmortem variables on human brain mRNA quality: a BrainNet Europe study

Well-characterized and preserved human brain tissue that is prepared and stored in brain banks is an essential resource for research in neurological diseases. This study examined the quality of human brain postmortem tissue from multiple laboratories within the BrainNet Europe brain bank network to identify all possible confounding variables and determine how they may affect RNA quality. Antemortem and postmortem information was retrospectively collected for a large cohort of samples. Total RNA was isolated from anatomically defined brain regions using a standardized procedure; RNA quality was assessed using an Agilent 2100 Bioanalyzer. No significant difference in RNA quality was observed in 6 different brain regions. RNA quality deteriorated with increasing numbers of antemortem events such as hospitalization, coma, respiratory illness, and the use of artificial ventilation; accumulation of such events was associated with elevated hypoxia-inducible factor 1 alpha mRNA expression. Brain pH was found to be a good indicator of RNA quality. There was no correlation of postmortem delay with cerebrospinal fluid pH or RNA quality overall, but some individual RNAs decreased in quality with antemortem events and with postmortem delay. RNA quality did not affect total RNA yield. Determining the factors that are best predictors of RNA quality can help brain banks with selection criteria for storing high-quality brain tissue for research.

The utility of SELENBP1 gene expression as a biomarker for major psychotic disorders: replication in schizophrenia and extension to bipolar disorder with psychosis

While microarray studies are generating novel insights into the etiology of major psychiatric disorders, the validation of microarray-identified candidate genes and their role in the causality of these disorders has been less often studied. We have previously demonstrated, by microarray, up-regulation of SELENBP1 in the brain and blood of patients with schizophrenia. The main aim of the current study was to validate this finding using quantitative real-time PCR (QPCR) in an independent brain cohort that included patients with bipolar disorder. Our sample consisted of mRNAs from the dorsolateral prefrontal cortex (dlPFC) of 34 schizophrenic patients, 33 bipolar disorder patients (including 20 with psychotic history), and 34 normal control subjects. QPCR was employed to assess gene expression changes, with C(T) values analyzed using an ANCOVA approach. The results demonstrated that SELENBP1 mRNA was upregulated in schizophrenic brains versus controls (P = 0.046) and, in addition, that SELENBP1 gene expression was strongly positively correlated with presence of psychosis across diagnoses (P < 0.001, increased by 12%). Based on these findings, we conclude that elevated SELENBP1 is a possibly consistent feature in the schizophrenic brain and that this finding could underlie some commonalities of psychosis across the boundaries of diagnoses. Future studies should exploit DNA-based methods and molecular investigations on the role of SELENBP1 in order to gain insights into the nature of its influence on schizophrenia and psychotic symptoms.

High-sensitivity detection methods for low-abundance RNA species: applications for functional genomics research

Gene expression analysis has facilitated a more complete understanding of the molecular biology of cellular processes and how variations of RNA expression are useful for the classification of various diseases. Furthermore, recent analysis of a variety of noncoding RNAs, such as microRNAs, has demonstrated that these RNAs play an important role in many cellular events, including cell differentiation and death, and may also serve as biological markers for disease. Besides helping in the understanding of diseases, RNA analysis is used in drug discovery, patient prognosis and treatment evaluation. One obstacle left to overcome is the amount of material required for the analysis, particularly when trying to extract information from precious, limited, clinical samples. Here we review the many approaches scientists take to either amplify the amount of RNA or amplify the signal generated from small amounts of RNA.

Enabling Coupled Quantitative Genomics and Proteomics Analyses from Rat Spinal Cord Samples

Translational research is progressing toward combined genomics and proteomics analyses of small and precious samples. In our analyses of spinal cord material, we systematically evaluated disruption and extraction techniques to determine an optimum process for the coupled analysis of RNA and protein from a single 5-mm segment of tissue. Analyses of these distinct molecular species were performed using microarrays and high resolution two-dimensional gels, respectively. Comparison of standard homogenization with automated frozen disruption (AFD) identified negligible differences in the relative abundance of genes (44) with all genes identified by either process. Analysis on either the Affymetrix or Applied Biosystems Inc. gene array platforms provided good correlations between the extraction techniques. In contrast, the AFD technique enabled identification of more unique proteins from spinal cord tissue than did standard homogenization. Furthermore use of an optimized CHAPS/urea extraction provided better protein recovery, as shown by quantitative two-dimensional gel analyses, than did solvent precipitation during TRIzol-based RNA extraction. Thus, AFD of tissue samples followed by protein and RNA isolation from separate aliquots of the frozen powdered sample is the most effective route to ensure full, quantitative analyses of both molecular entities.

Methodological considerations for gene expression profiling of human brain

Gene expression profiles of postmortem brain tissue represent important resources for understanding neuropsychiatric illnesses. The impact(s) of quality covariables on the analysis and results of gene expression studies are important questions. This paper addressed critical variables which might affect gene expression in two brain regions. Four broad groups of quality indicators in gene expression profiling studies (clinical, tissue, RNA, and microarray quality) were identified. These quality control indicators were significantly correlated, however one quality variable did not account for the total variance in microarray gene expression. The data showed that agonal factors and low pH correlated with decreased integrity of extracted RNA in two brain regions. These three parameters also modulated the significance of alterations in mitochondrial-related genes. The average F-ratio summaries across all transcripts showed that RNA degradation from the AffyRNAdeg program accounted for higher variation than all other quality factors. Taken together, these findings confirmed prior studies, which indicated that quality parameters including RNA integrity, agonal factors, and pH are related to differences in gene expression profiles in postmortem brain. Individual candidate genes can be evaluated with these quality parameters in post hoc analysis to help strengthen the relevance to psychiatric disorders. We find that clinical, tissue, RNA, and microarray quality are all useful variables for collection and consideration in study design, analysis, and interpretation of gene expression results in human postmortem studies.

Gene discovery in neuropharmacological and behavioral studies using Affymetrix microarray data

We describe methods and software tools for doing data analysis based on Affymetrix microarray data, emphasizing often neglected issues. In our experience with neuroscience studies, experimental design and quality assessment are vital. We also describe in detail the pre-processing methods we have found useful for Affymetrix data. Finally, we summarize the statistical literature and describe some pitfalls in the post-processing analysis.

Functional genomic methodologies

The ability to form tenable hypotheses regarding the neurobiological basis of normative functions as well as mechanisms underlying neurodegenerative and neuropsychiatric disorders is often limited by the highly complex brain circuitry and the cellular and molecular mosaics therein. The brain is an intricate structure with heterogeneous neuronal and nonneuronal cell populations dispersed throughout the central nervous system. Varied and diverse brain functions are mediated through gene expression, and ultimately protein expression, within these cell types and interconnected circuits. Large-scale high-throughput analysis of gene expression in brain regions and individual cell populations using modern functional genomics technologies has enabled the simultaneous quantitative assessment of dozens to hundreds to thousands of genes. Technical and experimental advances in the accession of tissues, RNA amplification technologies, and the refinement of downstream genetic methodologies including microarray analysis and real-time quantitative PCR have generated a wellspring of informative studies pertinent to understanding brain structure and function. In this review, we outline the advantages as well as some of the potential challenges of applying high throughput functional genomics technologies toward a better understanding of brain tissues and diseases using animal models as well as human postmortem tissues.

The search for candidate genes of alcoholism: evidence from expression profiling studies

Alcoholism is the outcome of complex interactions between the environment and multiple gene loci, which may encode pre-existing susceptibility, or contribute to the neuroadaptations underlying the process of developing dependence. Because of this, the prospect of simultaneous, genome wide, high-throughput analysis of gene expression allowed by microarray technology has met with great expectations. The hope has been that new insights into pathogenesis of substance disorders will rapidly be gained, leading to identification of novel treatment targets. The usefulness of this approach as a discovery tool in addiction research will be critically reviewed here. In this article, we describe the evolution of our experimental approaches, from first generation Affymetrix expression arrays to present high-density arrays, and from the use of original Affymetrix software to more advanced analysis of the probe signal, and different statistical approaches to creating candidate gene lists. Further, we address some methodological issues critical to the study of brain samples by microarray technology. We also summarize findings from several expression profiling experiments involving different animal models of alcoholism. The accumulation of expression data from different animal models allows mining the database for patterns of overlap. Such second level analysis depends on the generation of uniform and reliable datasets.

Expression profiling methods used in drug abuse research

A variety of analytical methodologies to investigate gene expression patterns in cells or tissues have been developed. For screening purposes, a large number of target mRNAs have to be interrogated simultaneously. These requirements have been met more or less comprehensively by Differential Display (DD) RT-PCR, Suppression Subtractive Hybridization (SSH), Serial Analysis of Gene Expression (SAGE), and DNA chips. The ultimate goal to cover any gene transcript potentially expressed by a given cell is on the way to be achieved by microbead arrays and by Affymetrix gene chips. Once targets of interest are identified, techniques employing low degrees of multiplexing, such as RNAse protection assays or some bead-based techniques (Luminex) eventually provide extremely fast results on the diagnostic level. With the aid of powerful computer programs, expression profiling technologies have opened intriguing new insights into the complex world of gene regulation. These new techniques have also been applied in drug abuse research recently and some examples of such approaches are described.