Abstract: miRNAs are regulatory RNA molecules. The analytical interest rose over the past 10 years especially in clinical diagnostics as miRNAs show specific expression patterns in several human diseases like diabetes or cancer. Therefore, it is expected that miRNA profiles might be used as biomarkers in early diagnosis. The idea of establishing biomarkers is also present in veterinary drug analysis, e.g. in the surveillance of illegal use of anabolics. Transcriptomics is a promising approach in the detection of anabolics misuse. However, miRNA expression patterns have shown their superiority over mRNA patterns in clinical diagnostics. Thus, the influence of anabolic steroids on miRNA expression in bovine liver should be investigated and an expression pattern should be validated, which might be used as a treatment biomarker. An animal experiment was conducted with 18 heifers equally allocated to a control and a treatment group, which was implanted with TBA plus E2. Liver samples were screened for miRNA expression using PCR arrays. Expression of 11 prominent miRNAs was validated via single assay qPCR. Herein, the following expression pattern could be found with an up-regulation of miR-29c and miR-103 and a down-regulation of miR-34a, miR-181c, miR-20a and miR-15a (p < 0.05 each). Using principal components analysis (PCA), the control group could clearly be distinguished from the treatment group, when integrating gene expression results from both miRNA and mRNA. So, the combination of different transcribed targets (mRNA plus miRNA) might be a promising approach to find a valid expression pattern to be used for anabolic treatment screening.
Abstract: Quantitative qPCR is a routinely used method for the accurate quantification of nucleic acids. Yet it may generate erroneous results if the amplification process is obscured by inhibition or generation of aberrant side-products such as primer dimers. Several methods have been established to control for pre-processing performance that rely on the introduction of a co-amplified reference sequence, however there is currently no method to allow for reliable control of the amplification process without directly modifying the sample mix. Herein we present a statistical approach based on multivariate analysis of the amplification response data generated in real-time. The amplification trajectory in its most resolved and dynamic phase is fitted with a suitable model. Two parameters of this model, related to amplification efficiency, are then used for calculation of the Z-score statistics. Each studied sample is compared to a predefined reference set of reactions, typically calibration reactions. A probabilistic decision for each individual Z-score is then used to identify the majority of inhibited reactions in our experiments. We compare this approach to univariate methods using only the sample specific amplification efficiency as reporter of the compatibility. We demonstrate improved identification performance using the multivariate approach compared to the univariate approach. Finally we stress that the performance of the amplification compatibility test as a quality control procedure depends on the quality of the reference set.
Abstract: Experiments using quantitative real-time PCR to test hypotheses are limited by technical and biological variability; we seek to minimise sources of confounding variability through optimum use of biological and technical replicates. The quality of an experiment design is commonly assessed by calculating its prospective power. Such calculations rely on knowledge of the expected variances of the measurements of each group of samples and the magnitude of the treatment effect; the estimation of which is often uninformed and unreliable. Here we introduce a method that exploits a small pilot study to estimate the biological and technical variances in order to improve the design of a subsequent large experiment. We measure the variance contributions at several 'levels' of the experiment design and provide a means of using this information to predict both the total variance and the prospective power of the assay. A validation of the method is provided through a variance analysis of representative genes in several bovine tissue-types. We also discuss the effect of normalisation to a reference gene in terms of the measured variance components of the gene of interest. Finally, we describe a software implementation of these methods, powerNest, that gives the user the opportunity to input data from a pilot study and interactively modify the design of the assay. The software automatically calculates expected variances, statistical power, and optimal design of the larger experiment. powerNest enables the researcher to minimise the total confounding variance and maximise prospective power for a specified maximum cost for the large study.
Abstract: Although physiological responses to chronic hypoxia, including pulmonary hypertension and right ventricular hypertrophy, have been well described, the molecular mechanisms involved in cardiopulmonary adaptations are still not fully understood. We hypothesize that adaptive responses to chronic hypoxia are the result of altered transcriptional regulations in the right and left ventricles. Here we report results from the gene expression profiling of adaptive responses in a chronically hypoxic heart. Out of 11 analyzed candidate genes, the expression of seven and four genes, respectively, was significantly altered in the right ventricle of hypoxic male and female mice. In the transcriptional profile of the left ventricle, we identified a single expression change in hypoxic males (Vegfa gene). To directly test the role of HIF1, we analyzed the expression profile in Hif1a partially deficient mice exposed to moderate hypoxia. Our data showed that Hif1a partial deficiency significantly altered transcriptional profiles of analyzed genes in hypoxic hearts. The expression changes were only detected in two genes in the RV of Hif1a(+/-) males and in one gene in the RV of Hif1a(+/-) females. First, our results suggest that hypoxia mainly affects adaptive expression profiles in the right ventricle and that each ventricle can respond independently. Second, our findings indicate that HIF1a plays an important role in adaptive cardiopulmonary responses and the dysfunction of HIF1 pathways considerably affects transcriptional regulation in the heart. Third, our data reveal significant differences between males and females in cardiac adaptive responses to hypoxia and indicate the necessity of optimizing diagnostic and therapeutic procedures in clinical practice, with respect to gender.
Abstract: BACKGROUND: Multi-drug resistant Plasmodium falciparum is a major obstacle to malaria control and is emerging as a complex phenomenon. Mechanisms of drug evasion based on the intracellular extrusion of the drug and/or modification of target proteins have been described. However, cellular mechanisms related with metabolic activity have also been seen in eukaryotic systems, e.g. cancer cells. Recent observations suggest that such mechanism may occur in P. falciparum. METHODOLOGY/PRINCIPAL FINDINGS: We therefore investigated the effect of mefloquine exposure on the cell cycle of three P. falciparum clones (3D7, FCB, W2) with different drug susceptibilities, while investigating in parallel the expression of four genes coding for confirmed and putative drug transporters (pfcrt, pfmdr1, pfmrp1 and pfmrp2). Mefloquine induced a previously not described dose and clone dependent delay in the intra-erythrocytic cycle of the parasite. Drug impact on cell cycle progression and gene expression was then merged using a non-linear regression model to determine specific drug driven expression. This revealed a mild, but significant, mefloquine driven gene induction up to 1.5 fold. CONCLUSIONS/SIGNIFICANCE: Both cell cycle delay and induced gene expression represent potentially important mechanisms for parasites to escape the effect of the antimalarial drug.
Abstract: Due to the persisting threat of development of new highly pathogenic influenza A subtypes, a mucosal vaccination which would induce a potent and cross-protective reaction is desirable. We succeeded in mucosal immunization of mice with an inactivated influenza A virus by using delipidated Bacillus firmus (DBF) as adjuvant. The mechanism of adjuvant effect was followed in NALT by comparing the response after intranasal immunization by inactivated influenza virus type A (H1N1) alone, adjuvant alone (DBF), or by a mixture of virus+DBF. Expression of selected gene groups was tested via qPCR at 7 different time-points: cytokines (IL-2, IFN-gamma, IL-4, IL-6, and IL-10), type I interferons (IFN-alpha4, IFN-alpha11, IFN-alpha12, and IFN-beta), toll-like receptors (TLR2, TLR3, TLR7, and TLR9), iNOS and CCR7. Intranasally administered DBF and the mixture of virus+DBF induced an elevated expression of IFN-gamma, IL-6 and IL-10 cytokines, type I interferons, iNOS, and pDC markers in NALT. Multimarker qPCR data was analyzed by relative quantification and by principal component analysis. DBF has been shown to be a very efficient adjuvant for the stimulation of innate immunity after IN immunization. DBF accelerated, increased, and prolonged the antiviral response.
Abstract: In the European Union the use of anabolic hormones in meat production is forbidden since 1988 and this ban of anabolic agents in animal production is strictly controlled. New hormone cocktails passing the detection systems are attractive for the practice and so new approaches to discover their illegal use have to be developed steadily. Verifying physiological effects caused by anabolic steroids will be a new way to develop potential monitoring systems. One promising matrix in female animals will be vaginal smear containing vaginal epithelial cells, because the vaginal epithelium is a primary steroid hormone responsive organ. In this study we quantified the gene expression in vaginal smear of sexually mature cattle in order to observe physiological effects. Further we aimed to establish a new screening method by testing the effect of a combination of certain anabolic steroid hormones on physiological regulations of mRNA expression of selected genes. In an animal trial Nguni heifers were treated with the anabolic combination trenbolone acetate plus estradiol. Vaginal smear samples were taken at 4 different time points. Gene expression of 27 candidate genes, selected by screening the actual literature for steroidal effects on vaginal epithelial cells, were estimated using quantitative real-time RT-PCR. There were different expression changes observed at different time points. It could be shown that the applied anabolic combination significantly influenced the expression of the steroid receptor ERα, the keratinization factor CK8, the proinflammatory interleukins IL-1α and IL-1β, the growth factors FGF7, EGF, EGFR, IGF-1R, TGFα and LTF, the oncogen c-jun and other factors like actinβ and ubiquitin 3. Using biostatistical tools like principal components analysis or hierarchical cluster analysis, the potential to develop a gene expression pattern for targeting the illegal use of growth promoters could be demonstrated.
Abstract: BACKGROUND: Quantitative PCR (qPCR) is a valuable technique for accurately and reliably profiling and quantifying gene expression. Typically, samples obtained from the organism of study have to be processed via several preparative steps before qPCR. METHOD: We estimated the errors of sample withdrawal and extraction, reverse transcription (RT), and qPCR that are introduced into measurements of mRNA concentrations. We performed hierarchically arranged experiments with 3 animals, 3 samples, 3 RT reactions, and 3 qPCRs and quantified the expression of several genes in solid tissue, blood, cell culture, and single cells. RESULTS: A nested ANOVA design was used to model the experiments, and relative and absolute errors were calculated with this model for each processing level in the hierarchical design. We found that intersubject differences became easily confounded by sample heterogeneity for single cells and solid tissue. In cell cultures and blood, the noise from the RT and qPCR steps contributed substantially to the overall error because the sampling noise was less pronounced. CONCLUSIONS: We recommend the use of sample replicates preferentially to any other replicates when working with solid tissue, cell cultures, and single cells, and we recommend the use of RT replicates when working with blood. We show how an optimal sampling plan can be calculated for a limited budget.
Abstract: ABSTRACT: BACKGROUND: Serotonin is an important neurotransmitter with wide-ranging functions throughout the central nervous system. There is strong evidence to suggest that regulation of serotonergic gene expression might be related to genetic variability, and several studies have focused on understanding the functional effects of specific polymorphisms within these genes on expression levels. However, the combination of genotype together with gender and brain region could have an overall effect on gene expression. In this study, we report expression patterns of five serotonergic genes (TPH1, TPH2, 5-HT2A, 5-HT2C, 5-HTT) in seven different human post-mortem brain regions (superior frontal gyrus, superior temporal gyrus, striatum, cerebellum, hippocampus, midbrain and thalamus) using TaqMan real-time quantitative PCR. In addition, the effect of genotype and gender on their expression levels was determined. RESULTS: The data revealed that mRNA from the five genes investigated was detected in all brain regions and showed an overall significant difference in expression levels. Furthermore, the expression of 5-HT2C, 5-HT2A and TPH2 was found to be significantly different between the various brain regions. However, neither gender nor genotype showed significant effects on the expression levels of any of the genes assayed. Interestingly, TPH1 and TPH2 were expressed in all brain regions similarly except for within the striatum and cerebellum, where TPH1 was expressed at a significantly higher level than TPH2. CONCLUSIONS: The effect of brain region has a greater influence on serotonergic gene expression than either genotype or gender. These data add to the growing body of evidence that effects of functional polymorphisms on gene expression in vitro are not observed ex vivo, and provide information that will aid in the design of expression studies of the serotonergic gene system within human post-mortem brain.
Abstract: Anabolic hormones, including testosterone, have been suggested as a therapy for aging-related conditions, such as osteoporosis and sarcopenia. These therapies are sometimes associated with severe androgenic side effects. A promising alternative to testosterone replacement therapy are selective androgen receptor modulators (SARMs). SARMs have the potential to mimic the desirable central and peripheral androgenic anabolic effects of testosterone without having its side effects. In this study we evaluated the effects of LGD2941, in comparison to testosterone, on mRNA expression of selected target genes in whole blood in an non-human model. The regulated genes can act as potential blood biomarker candidates in future studies with AR ligands. Cynomolgus monkeys (Macaca fascicularis) were treated either with testosterone or LGD2941 for 90 days in order to compare their effects on mRNA expression in blood. Blood samples were taken before SARM application, on day 16 and on day 90 of treatment. Gene expression of 37 candidate genes was measured using quantitative real-time RT-PCR (qRT-PCR) technology. Our study shows that both testosterone and LGD2941 influence mRNA expression of 6 selected genes out of 37 in whole blood. The apoptosis regulators CD30L, Fas, TNFR1 and TNFR2 and the interleukins IL-12B and IL-15 showed significant changes in gene expression between control and the treatment groups and represent potential biomarkers for androgen receptor ligands in whole blood.
Abstract: In the EU, the use of anabolic steroids in food producing animals has been forbidden since 1988. The routine methods used in practice are based on the detection of hormonal residues. To overcome these routine methods, growth-promoting agents are sometimes administered at concentrations below the detection limit and new anabolic substances are designed. Therefore, new monitoring systems are needed to overcome the misuse of anabolic agents in meat production. In this study, a new monitoring system was applied: the quantification of mRNA gene expression changes by quantitative real time reverse transcription polymerase chain reaction (qRT-PCR). Blood was selected as ideal tissue for biomarker screening. From the literature, it is known that steroid hormones affect mRNA gene expression of the different blood cells, which can easily be taken from the living animal. In an animal trial, 18 Nguni heifers were separated to two groups of nine animals. One group served as untreated control and the other group was treated with a combination of trenbolone acetate plus estradiol for 39 days in order to allow the detection of the effect on mRNA expression in blood at three time points. Candidate genes used for developing a biomarker pattern were chosen by screening the actual literature for anabolic effects on blood cells. It could be demonstrated that the combination of trenbolone acetate plus estradiol significantly influences mRNA expression of the steroid receptors (ER-alpha and GR-alpha), the apoptosis regulator Fas, the proinflammatory interleukins IL-1alpha, IL-1beta and IL-6 and of MHCII, CK, MTPN, RBM5 and Actin-beta. Advanced statistical analysis by Principal Components Analysis (PCA) indicated that these genes represent potential biomarkers for this hormone combination in whole blood.
Abstract: Genetic variability in the promoter and 3' region of the SNCA gene coding alpha-synuclein modulates the risk to develop sporadic Parkinson's disease (PD). Whether this is mediated by regulating alpha-synuclein expression levels remains unknown. Therefore, we analyzed levels of alpha-synuclein in blood and human post mortem brain tissue including the substantia nigra using quantitative real-time reverse transcriptase-polymerase chain reaction and enzyme linked immunosorbent assay in vivo. Single nucleotide polymorphism (SNP) rs356219, a tagging SNP for a disease-associated haplotype in the 3' region of the SNCA gene, has a significant effect on SNCA mRNA levels in the substantia nigra and the cerebellum. Further, the "protective" genotype 259/259 of the PD-associated promoter repeat NACP-Rep1 is associated with lower protein levels in blood than genotypes 261/261, 259/261, and 259/263. In conclusion, we provide evidence that alpha-synuclein levels are influenced by genetic variability in the promoter and 3' region of the SNCA gene in vivo.
Abstract: Cluster analysis is a tool often employed in the micro-array techniques but used less in the real-time PCR. Herein we present core SAS code that instead of the Euclidian distances takes correlation coefficient as a dissimilarity measure. The dissimilarity measure is made robust using a rank-order correlation coefficient rather than a parametric one. There is no need for an overall probability adjustment like in scoring methods based on repeated pair-wise comparisons. The rank-order correlation matrix gives a good base for the clustering procedure of gene expression data obtained by real-time RT-PCR as it disregards the different expression levels. Associated with each cluster is a linear combination of the variables in the cluster, which is the first principal component. Large set of variables can then be replaced by the set of cluster components with little loss of information. In this way, distinct clusters containing unregulated housekeeping genes along with other steadily expressed genes can be disclosed and utilized for standardization purposes. Simulated data in parallel with the data from a biological experiment were taken to validate the SAS macro. For both cases, good intuitive results were obtained.
Abstract: Non-nutritional polyphenolic compounds such as (+)-catechin and (-)-epigallocatechin-3-gallate (EGCG) are known as anticancer chemopreventive agents and have been utilised for medical purposes in form of tea drinking. Documented anticancer properties of these compounds result from their antioxidant effects. However, also direct alteration of an enzyme performance has been reported and deserves more attention. In this paper, a direct effect of catechin and EGCG on the performance of reverse transcription (RT) and/or polymerase chain reaction (PCR) was studied. Both tea polyphenolic compounds were added into real-time RT-PCR reactions and the fluorescence data obtained were fitted with a mathematical model. Several parameters of PCR performance were compared, obtained from the mathematical model for reactions with and without addition of (+)-catechin and EGCG. Addition of EGCG to enzyme reaction seems to inhibit the RT reaction (p < 0.05) and to slow down the DNA polymerase reaction (p < 0.001). Similarly, (+)-catechin inhibited the DNA amplification (p < 0.01) but had no effect on the RT reaction. The effects could be observed in physiological flavanol concentrations ranging from 10(-5) to 10(-8)M.
Abstract: The stability of standard gene expression is an elementary prerequisite for internal standardisation of target gene expression data and many so called housekeeping genes with assumed stable expression can exhibit either up- or down-regulation under some experimental conditions. The developed, and herein presented, software called BestKeeper determines the best suited standards, out of ten candidates, and combines them into an index. The index can be compared with further ten target genes to decide, whether they are differentially expressed under an applied treatment. All data processing is based on crossing points. The BestKeeper software tool was validated on four housekeeping genes and 10 members of the somatotropic axis differentially expressed in bovine corpora lutea total RNA. The BestKeeper application and necessary information about data processing and handling can be downloaded on http://www.wzw.tum.de/gene-quantification/bestkeeper.html.
Abstract: Real-time reverse transcription-polymerase chain reaction (RT-PCR) is currently considered the most sensitive method to study low abundance gene expression. Since comparison of gene expression levels in various tissues is often the purpose of an experiment, we studied a tissue-linked effect on nucleic acid amplification. Based on the raw data generated by a LightCycler instrument, we propose a descriptive mathematical model of PCR amplification. This model allowed us to study amplification kinetics of four common housekeeping genes in total RNA samples derived from various bovine tissues. We observed that unknown tissue-specific factors can influence amplification kinetics but this affect can be ameliorated, in part, by appropriate primer selection.
Abstract: We propose a computing method for the estimation of real-time PCR amplification efficiency. It is based on a statistic delimitation of the beginning of exponentially behaving observations in real-time PCR kinetics. PCR ground fluorescence phase, non-exponential and plateau phase were excluded from the calculation process by separate mathematical algorithms. We validated the method on experimental data on multiple targets obtained on the LightCycler platform. The developed method yields results of higher accuracy than the currently used method of serial dilutions for amplification efficiency estimation. The single reaction set-up estimation is sensitive to differences in starting concentrations of the target sequence in samples. Furthermore, it resists the subjective influence of researchers, and the estimation can therefore be fully instrumentalized.
Abstract: In recent studies PrP mRNA was determined mostly by in situ hybridisation or Northern Blot analysis--methods not suitable for absolute quantification of mRNA copy numbers. Herein we report on bovine prion mRNA quantification using calibrated highly sensitive externally standardized real-time RT-PCR with LightCycler instrument. Total RNA was isolated from nine different regions of the CNS and seven peripheral organs. PrP(c) mRNA copy numbers could be determined in all tissues under study. In approval with prior studies high mRNA level was found in Neocortex and Cerebellum. Lymphatic organs showed at least as high expression levels of prion mRNA as overall brain. Lowest expression was detected in kidney. Results of our study provide insight into the involvement of different organs in pathogenesis with respect to prion mRNA expression. LightCycler technology is currently considered the most precise method for nucleic acid quantification and showed to be powerful tool for further studies on prion diseases pathogenesis.
