Real-time PCR for mRNA quantitation

The C2H2 zinc finger genes of Strongylocentrotus purpuratus and their expression in embryonic development

The C2H2 zinc finger is one of the most abundant protein domains and is thought to have been extensively replicated in diverse animal clades. Some well-studied proteins that contain this domain are transcriptional regulators. As part of an attempt to delineate all transcription factors encoded in the Strongylocentrotus purpuratus genome, we identified the C2H2 zinc finger genes indicated in the sequence, and examined their involvement in embryonic development. We found 377 zinc finger genes in the sea urchin genome, about half the number found in mice or humans. Their expression was measured by quantitative PCR. Up to the end of gastrulation less than a third of these genes is expressed, and about 75% of the expressed genes are maternal; both parameters distinguish these from all other classes of regulatory genes as measured in other studies. Spatial expression pattern was determined by whole mount in situ hybridization for 43 genes transcribed at a sufficient level, and localized expression was observed in diverse embryonic tissues. These genes may execute important regulatory functions in development. However, the functional meaning of the majority of this large gene family remains undefined.

Comparison of relative mRNA quantification models and the impact of RNA integrity in quantitative real-time RT-PCR

Relative quantification in quantitative real-time RT-PCR is increasingly used to quantify gene expression changes. In general, two different relative mRNA quantification models exist: the delta-delta Ct and the efficiency-corrected Ct model. Both models have their advantages and disadvantages in terms of simplification on the one hand and efficiency correction on the other. The particular problem of RNA integrity and its effect on relative quantification in qRT-PCR performance was tested in different bovine tissues and cell lines (n = 11). Therefore different artificial and standardized RNA degradation levels were used. Currently fully automated capillary electrophoresis systems have become the new standard in RNA quality assessment. RNA quality was rated according the RNA integrity number (RIN). Furthermore, the effect of different length of amplified products and RNA integrity on expression analyses was investigated. We found significant impact of RNA integrity on relative expression results, mainly on cycle threshold (Ct) values and a minor effect on PCR efficiency. To minimize the interference of RNA integrity on relative quantification models, we can recommend to normalize gene expression by an internal reference gene and to perform an efficiency correction. Results demonstrate that innovative new quantification methods and normalization models can improve future mRNA quantification.

Assessment of the use of RNA quality metrics for the screening of articular cartilage specimens from clinically normal dogs and dogs with osteoarthritis

OBJECTIVE

To assess 2 methods of RNA purification by use of different quality metrics and identify the most useful metric for quality assessment of RNA extracted from articular cartilage from dogs with osteoarthritis.

SAMPLE POPULATION

40 articular cartilage specimens from the femoral heads of 3 clinically normal dogs and 37 dogs with osteoarthritis.

PROCEDURES

RNA was extracted from articular cartilage by 2 purification methods. Quality metrics of each sample were determined and recorded by use of a UV spectrophotometer (Spec I; to determine the 260 to 280 nm absorbance ratio [A(260):A(280) ratio]), a second UV spectrophotometer (Spec II; to determine A(260):A(280) and A(260):A(230) absorbance ratios), and a microfluidic capillary electrophoresis analyzer (to determine the ribosomal peak ratio [RR], degradation factor [DF], and RNA integrity number [RIN]). The RNA was extracted from affected (osteoarthritic) articular cartilage and assessed with the same quality metrics. Metric results were compared with visual analysis of the electropherogram to determine the most useful RNA quality metric.

RESULTS

No differences in methods of RNA purification were determined by use of quality metrics. The RNA extracted from unaffected (normal) cartilage was of higher quality than that extracted from affected (osteoarthritic) cartilage, as determined by the RIN and Spec II A(260):A(230) ratio. The RIN and RR were the most sensitive metrics for determining RNA quality, whereas the DF was most specific. A significant proportion (32%) of RNA extracted from osteoarthritic articular cartilage specimens was determined as being of low quality.

CONCLUSIONS AND CLINICAL RELEVANCE

No single metric provided a completely sensitive and specific assessment of the quality of RNA recovered from articular cartilage.

A comparison of quantitative-competitive and realtime PCR assays using an identical target sequence to detect Epstein-Barr virus viral load in the peripheral blood

Monitoring the load of Epstein-Barr virus (EBV) in the peripheral blood by quantitative PCR has been accepted as a useful tool for predicting the onset of EBV related diseases, confirming an EBV disease diagnosis and following the response to treatment interventions. In the present study, the use of a realtime polymerase chain reaction (rt-PCR) assay developed for unpurified cell preparations was examined and the results of the realtime assay were compared to an EBV quantitative-competitive PCR assay (QC-PCR). Both assays use the same target sequence and the same method for determining the standard value for the copy number of EBV genomes present. A comparison of 572 PCR results reveals that the realtime assay gave 5-10-fold higher values than the QC-PCR. Fifty-one results (8.9%) were discordant between the two sets of data. The most commonly encountered discordant result was detection of low amounts of EBV DNA by the rt-PCR assay that were not detected in specimens by QC-PCR. The two assays had a high degree of correlation across the range of load detection allowing clinically relevant threshold values determined in the QC-PCR assay to be inferred for the rt-PCR assay. External normalization of the rt-PCR assay was determined to be an important tool for monitoring the quality and/or quantity of human DNA in the starting material. rt-PCR assays with unpurified cell lysates compare favorably with quantitative-competitive assays and when normalized offer real advantages in specimen preparation, assay manipulations and reproducibility over both quantitative-competitive assays and realtime assays that require purified nucleic acid inputs.

Error propagation in relative real-time reverse transcription polymerase chain reaction quantification models: the balance between accuracy and precision

Real-time reverse transcription polymerase chain reaction (RT-PCR) has gained wide popularity as a sensitive and reliable technique for mRNA quantification. The development of new mathematical models for such quantifications has generally paid little attention to the aspect of error propagation. In this study we evaluate, both theoretically and experimentally, several recent models for relative real-time RT-PCR quantification of mRNA with respect to random error accumulation. We present error propagation expressions for the most common quantification models and discuss the influence of the various components on the total random error. Normalization against a calibrator sample to improve comparability between different runs is shown to increase the overall random error in our system. On the other hand, normalization against multiple reference genes, introduced to improve accuracy, does not increase error propagation compared to normalization against a single reference gene. Finally, we present evidence that sample-specific amplification efficiencies determined from individual amplification curves primarily increase the random error of real-time RT-PCR quantifications and should be avoided. Our data emphasize that the gain of accuracy associated with new quantification models should be validated against the corresponding loss of precision.

Genomic polymorphisms provide prognostic information in intermediate-risk acute myeloblastic leukemia

Current prognostic factors for acute myeloblastic leukemia (AML) are not sufficient to accurately predict the group of patients in the intermediate-risk category who will successfully respond to treatment. Distinct patterns of inherited functional genomic polymorphisms might explain part of these heterogeneous prognoses. We used the allelic discrimination method to identify polymorphisms in GSTT1, SULT1C2, CDA, SXR (drug metabolic pathways), XPD, XPA, XPG, ERCC1, TOP2A (DNA repair), VEGF (angiogenesis), and MDR1 (multidrug resistance) genes in 110 adult patients with intermediate-risk AML, enrolled in the CETLAM-99 prospective trial. A multivariate prognostic model adjusted for age, white blood cell (WBC) count, French-American-British group, cytogenetics, MLL rearrangement, internal tandem duplication of FLT3 (FLT3-ITD), induction courses to achieve complete remission, and germline polymorphisms, was used to detect independent risk factors associated with clinical outcome. This analysis showed an increased risk of refractoriness to chemotherapy in the group of patients with XPA variant alleles (RR = 14; P = .02). In the same model, increased relapse risk was associated with SULT1C2 heterozygosity (RR = 4.1; P = .004), FLT3-ITD (RR 3.3; P = .003), and MDR1 variant alleles (RR = 2.4; P = .02). Adverse prognostic variables for overall survival were XPA (RR = 3.4; P = .02) and MDR1 (RR = 2.1; P = .02) variant alleles, and WBC count (RR = 2.1; P = .02). These findings might be useful in selecting risk-adapted treatment strategies in intermediate-risk AML.

Candidate genes and their regulatory elements: alcohol preference and tolerance

QTL analysis of behavioral traits and mouse brain gene expression studies were combined to identify candidate genes involved in the traits of alcohol preference and acute functional alcohol tolerance. The systematic application of normalization and statistical analysis of differential gene expression, behavioral and expression QTL location, and informatics methodologies resulted in identification of 8 candidate genes for the trait of alcohol preference and 22 candidate genes for acute functional tolerance. Pathway analysis, combined with clustering by ontology, indicated the importance of transcriptional regulation and DNA and protein binding elements in the acute functional tolerance trait, and protein kinases and intracellular signal transduction elements in the alcohol preference trait. A rudimentary search for transcription control elements that could indicate coregulation of the panels of candidate genes produced modest results, implicating SMAD-3 in the regulation of four of the eight candidate genes for alcohol preference. However, the realization of the many caveats related to transcription factor binding site analysis, and attempts to correlate between transcription factor binding and function, forestalled any definitive global analysis of transcriptional control of differentially expressed candidate genes.

Estimation of the reaction efficiency in polymerase chain reaction

Polymerase chain reaction (PCR) is largely used in molecular biology for increasing the copy number of a specific DNA fragment. The succession of 20 replication cycles makes it possible to multiply the quantity of the fragment of interest by a factor of 1 million. The PCR technique has revolutionized genomics research. Several quantification methodologies are available to determine the DNA replication efficiency of the reaction which is the probability of replication of a DNA molecule at a replication cycle. We elaborate a quantification procedure based on the exponential phase and the early saturation phase of PCR. The reaction efficiency is supposed to be constant in the exponential phase, and decreasing in the saturation phase. We propose to model the PCR amplification process by a branching process which starts as a Galton-Watson branching process followed by a size-dependent process. Using this stochastic modelling and the conditional least-squares estimation method, we infer the reaction efficiency from a single PCR trajectory.

Genetic regulation of unsaturated fatty acid composition in C. elegans

Delta-9 desaturases, also known as stearoyl-CoA desaturases, are lipogenic enzymes responsible for the generation of vital components of membranes and energy storage molecules. We have identified a novel nuclear hormone receptor, NHR-80, that regulates delta-9 desaturase gene expression in Caenorhabditis elegans. Here we describe fatty acid compositions, lifespans, and gene expression studies of strains carrying mutations in nhr-80 and in the three genes encoding delta-9 desaturases, fat-5, fat-6, and fat-7. The delta-9 desaturase single mutants display only subtle changes in fatty acid composition and no other visible phenotypes, yet the fat-5;fat-6;fat-7 triple mutant is lethal, revealing that endogenous production of monounsaturated fatty acids is essential for survival. In the absence of FAT-6 or FAT-7, the expression of the remaining desaturases increases, and this ability to compensate depends on NHR-80. We conclude that, like mammals, C. elegans requires adequate synthesis of unsaturated fatty acids and maintains complex regulation of the delta-9 desaturases to achieve optimal fatty acid composition.

The ratio of saturated to unsaturated fatty acids has a profound affect on the fluidity and function of cellular membranes. Animals, plants, and microorganisms regulate the synthesis of unsaturated fatty acids during changing environmental conditions, as well as in response to dietary nutrients. In this paper the authors use a combination of genetic and biochemical approaches to address the regulation of unsaturated fatty acid synthesis in the roundworm Caenorhabditis elegans. They identify a new transcription factor, NHR-80, that activates the expression of genes encoding delta-9 fatty acid desaturases, the enzymes responsible for catalyzing the insertion of double bonds into saturated fatty acid chains. These unsaturated fatty acids are critical components of membranes, as well as fat storage molecules. Experiments presented here demonstrate that the worms require adequate synthesis of unsaturated fatty acids for survival and that they maintain intricate regulation of the three delta-9 desaturase genes in response to different nutrients. Abnormalities in lipid metabolism lead to obesity and diabetes in humans; this study contributes to our understanding of the regulation of this metabolic pathway.

Application of Pharmacological Approaches to Plant–Mammal Interactions

The dominant theory in the field of mammalian herbivore-plant interactions is that intake, and therefore tolerance, of plant secondary metabolites (PSMs) is regulated by mechanisms that reduce absorption and increase detoxification of PSMs. Methods designed by pharmacologists to measure detoxification enzyme activity, metabolite excretion, and most recently, drug absorption, have been successfully applied by ecologists to study PSM intake in a variety of mammalian study systems. Here, we describe several pharmacological and molecular techniques used to investigate the fate of drugs in human that have potential to further advance knowledge of mammalian herbivore-plant interactions.

Quantitative analysis of osteoclast-specific gene markers stimulated by lipopolysaccharide

Lipopolysaccharide (LPS) in the outer layers of Gram-negative bacteria plays an important role in initiating and sustaining periapical lesions. To understand the mechanisms of osteoclastic bone resorption in periapical lesions induced by LPS, we stimulated osteoclast precursors, RAW 264.7 cells with LPS. LPS stimulated osteoclastogenesis when osteoclast precursors were primed with activator for NF-kappaB ligand (RANKL) as little as 24 h. By employing real-time PCR analysis, we have confirmed that osteoclast-like cells stimulated by LPS express high level of osteoclast-specific gene markers such as TRAP, cathepsin K, and calcitonin receptor. These results suggest that bone-resportive action by LPS is partially independent of RANKL.

A stochastic model of gene transcription: an application to L1 retrotransposition events

A simplified mathematical model of gene transcription is presented based on a system of coupled chemical reactions and a corresponding set of stochastic equations similar to those used in enzyme kinetics theory. The quasi-stationary distribution for the model is derived and its usefulness illustrated with an example of model parameters estimation using sparse time course data on L1 retrotransposon expression kinetics. The issue of model validation is also discussed and a simple validation procedure for the estimated model is devised. The procedure compares model predicted values with the laboratory data via the standard Bayesian techniques with the help of modern Markov-Chain Monte-Carlo methodology.

Two-color quantitative multiplex methylation-specific PCR

In recent years, several methylation-specific PCR-based techniques have been developed to identify and characterize hypermethylation of CpG dinucleotides with the primary goal of elucidating a better understanding of the role of DNA methylation in important biological processes, such as chromosome X inactivation and carcinogenesis. The specificity of methylation-specific PCR (MSP) techniques relies on amplifying sodium bisulfite-treated DNA with primers specific to predicted sequences of unmethylated and methylated DNA within the gene of interest. In the past, unmethylated and methylated reactions were singleplex and performed in separate wells. In this paper we report a modification of the real-time quantitative multiplex MSP (QM-MSP) technique of Fackler and colleagues that can be applied to any real-time MSP experiment. Although co-amplification with multiple fluorophores is common in standard reverse transcription PCR (RT-PCR), MSP presents unique challenges both mechanistically and operationally that must be overcome in order to successfully co-amplify two methylation-specific targets. In this two-color modification, unmethylated and methylated primer/probe sets are successfully co-amplified in the same reaction using FAM- and VIC-labeled probes. Our modification decreases the cost and time of each real-time experiment by allowing increased throughput of clinical samples and by doubling either the number of genes or the number of samples that can be analyzed per real-time plate.

Expression of fructose sensitive glucose transporter in the brains of fructose-fed rats

Glucose transporters play a critical role in mammalian brain energy metabolism because glucose is the principal brain energy source and these transporters promote glucose movement into neural cells. When glucose is unavailable, fructose can serve as an alternative energy source. Using real-time polymerase chain reaction and actin as a reference mRNA, we investigated the impact of fructose feeding on rat brain and other tissue mRNA expression of glucose transporter 5 which has high affinity for fructose. Brain mRNA levels of glucose transporter 5 increased 1.5-fold in 35-day old rats after 7 days of fructose feeding compared with controls, whereas it increased 2.5-fold in jejunum. Semi-quantitative analysis of protein expression by immunofluorescence of glucose transporter 5 in rat hippocampi indicated a 2.4-fold increase. We demonstrated the specificity of fructose feeding on glucose transporter 5 expression by showing that the expression of the neuronal glucose transporter 3 and insulin-regulated glucose transporter 4 were unaffected. In addition, the expression of glucose transporter 5 increased in fructose fed older adult rats (8-months and 12-months old) when compared with controls. These results suggest that short-term fructose feeding increases the expression of glucose transporter 5 in both young and aging adult rats. Increased brain expression of glucose transporter 5 is likely to be important in the role of fructose as an alternative energy source.

Large scale real-time PCR validation on gene expression measurements from two commercial long-oligonucleotide microarrays

Background

DNA microarrays are rapidly becoming a fundamental tool in discovery-based genomic and biomedical research. However, the reliability of the microarray results is being challenged due to the existence of different technologies and non-standard methods of data analysis and interpretation. In the absence of a "gold standard"/"reference method" for the gene expression measurements, studies evaluating and comparing the performance of various microarray platforms have often yielded subjective and conflicting conclusions. To address this issue we have conducted a large scale TaqMan^® Gene Expression Assay based real-time PCR experiment and used this data set as the reference to evaluate the performance of two representative commercial microarray platforms.

Results

In this study, we analyzed the gene expression profiles of three human tissues: brain, lung, liver and one universal human reference sample (UHR) using two representative commercial long-oligonucleotide microarray platforms: (1) Applied Biosystems Human Genome Survey Microarrays (based on single-color detection); (2) Agilent Whole Human Genome Oligo Microarrays (based on two-color detection). 1,375 genes represented by both microarray platforms and spanning a wide dynamic range in gene expression levels, were selected for TaqMan^® Gene Expression Assay based real-time PCR validation. For each platform, four technical replicates were performed on the same total RNA samples according to each manufacturer's standard protocols. For Agilent arrays, comparative hybridization was performed using incorporation of Cy5 for brain/lung/liver RNA and Cy3 for UHR RNA (common reference). Using the TaqMan^® Gene Expression Assay based real-time PCR data set as the reference set, the performance of the two microarray platforms was evaluated focusing on the following criteria: (1) Sensitivity and accuracy in detection of expression; (2) Fold change correlation with real-time PCR data in pair-wise tissues as well as in gene expression profiles determined across all tissues; (3) Sensitivity and accuracy in detection of differential expression.

Conclusion

Our study provides one of the largest "reference" data set of gene expression measurements using TaqMan^® Gene Expression Assay based real-time PCR technology. This data set allowed us to use an alternative gene expression technology to evaluate the performance of different microarray platforms. We conclude that microarrays are indeed invaluable discovery tools with acceptable reliability for genome-wide gene expression screening, though validation of putative changes in gene expression remains advisable. Our study also characterizes the limitations of microarrays; understanding these limitations will enable researchers to more effectively evaluate microarray results in a more cautious and appropriate manner.

Performance of the automated Abbott RealTime HIV-1 assay on a genetically diverse panel of specimens from Brazil

The combination of automated sample preparation and real-time RT-PCR for measurement of HIV-1 viral load has the potential to significantly enhance throughput, reduce operator-associated error, and increase assay sensitivity and dynamic range. In this study, RNA was extracted from the plasma of 91 HIV-1 seropositive Brazilian blood donors using the Abbott m2000sp automated sample preparation system. Viral loads measured using the RealTime HIV-1 (RealTime HIV-1) assay and the Abbott m2000rt instrument were compared to values obtained in the LCx HIV RNA quantitative assay. Subtype was determined for 89 of 91 specimens by sequence/phylogenetic analysis of three genomic regions: gag p24, pol integrase, and env gp41. The panel included 69 subtype B, 1 C, 2 F, and 17 recombinant strains. Eighty-seven specimens were quantified by both assays. Two specimens were quantified only in RealTime HIV-1. Two additional specimens below the detection limit of both assays were also negative on PCR amplification. Viral load results were highly correlated, and good agreement was observed between assays with 90% of values within 0.5 log(10)copies/ml. The RealTime HIV-1 assay and m2000 system offer the advantages of automation while providing reliable quantification of diverse HIV strains.

Sex-dependent gene expression in early brain development of chicken embryos

BACKGROUND

Differentiation of the brain during development leads to sexually dimorphic adult reproductive behavior and other neural sex dimorphisms. Genetic mechanisms independent of steroid hormones produced by the gonads have recently been suggested to partly explain these dimorphisms.

RESULTS

Using cDNA microarrays and real-time PCR we found gene expression differences between the male and female embryonic brain (or whole head) that may be independent of morphological differentiation of the gonads. Genes located on the sex chromosomes (ZZ in males and ZW in females) were common among the differentially expressed genes, several of which (WPKCI-8, HINT, MHM non-coding RNA) have previously been implicated in avian sex determination. A majority of the identified genes were more highly expressed in males. Three of these genes (CDK7, CCNH and BTF2-P44) encode subunits of the transcription factor IIH complex, indicating a role for this complex in neuronal differentiation.

CONCLUSION

In conclusion, this study provides novel insights into sexually dimorphic gene expression in the embryonic chicken brain and its possible involvement in sex differentiation of the nervous system in birds.

RNA integrity and the effect on the real-time qRT-PCR performance

The assessment of RNA integrity is a critical first step in obtaining meaningful gene expression data. Working with low-quality RNA may strongly compromise the experimental results of downstream applications which are often labour-intensive, time-consuming, and highly expensive. Using intact RNA is a key element for the successful application of modern molecular biological methods, like qRT-PCR or micro-array analysis. To verify RNA quality nowadays commercially available automated capillary-electrophoresis systems are available which are on the way to become the standard in RNA quality assessment. Profiles generated yield information on RNA concentration, allow a visual inspection of RNA integrity, and generate approximated ratios between the mass of ribosomal sub-units. In this review, the importance of RNA quality for the qRT-PCR was analyzed by determining the RNA quality of different bovine tissues and cell culture. Independent analysis systems are described and compared (OD measurement, NanoDrop, Bioanalyzer 2100 and Experion). Advantage and disadvantages of RNA quantity and quality assessment are shown in performed applications of various tissues and cell cultures. Further the comparison and correlation between the total RNA integrity on PCR performance as well as on PCR efficiency is described. On the basis of the derived results we can argue that qRT-PCR performance is affected by the RNA integrity and PCR efficiency in general is not affected by the RNA integrity. We can recommend a RIN higher than five as good total RNA quality and higher than eight as perfect total RNA for downstream application.

Evaluation of various housekeeping genes for their applicability for normalization of mRNA expression in dioxin-treated rats

Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) is an extremely sensitive, convenient and rapid method to measure mRNA levels in cells and tissues, and is gaining popularity in toxicology. To correct for sample-to-sample variation, normalization of the expression data is required. The conventional way to perform normalization is to select a reference gene whose expression is believed to remain stable across all experimental conditions, then relate the concentrations of gene(s) of interest to those of this housekeeping gene. Since recent evidence shows that some housekeeping genes are actually not as refractory to experimental manipulations as previously thought, we validated a large number (18) of commonly used housekeeping genes for acute toxicity studies of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), an extremely potent environmental toxin known to regulate a wide variety of genes. Microarray and qRT-PCR analyses coherently demonstrated that about 50% of the housekeeping genes examined were responsive to TCDD in rat liver with the magnitudes of change up to nearly 10-fold. Extension of the study to spleen and hypothalamus verified that phosphoglycerate kinase 1 (Pgk1) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) retained their basal expression levels in all experimental settings, although body weight loss-generated repression may mask a slight induction of GAPDH by TCDD in liver. These findings show that normalization genes for qRT-PCR must be carefully validated in advance, especially if the study involves a potent modifier of gene expression.

Extent of over-expression of hepatocyte growth factor receptor in colorectal tumours is dependent on the choice of normaliser

For reliable results from quantitative RT-PCR, the starting quantity of total RNA and other parameters need to be controlled. Most studies do this by normalising their results to a single reference gene. This study quantified the mRNA expression of three putative reference genes (ubiquitin C, cyclophilin E, and porphobilinogen deaminase) and the target gene hepatocyte growth factor receptor (HGFR) in matched colorectal tumour and normal mucosa samples. Each of the putative reference genes was found to be significantly over-expressed in the tumour samples compared to the normal samples. When HGFR expression was normalised to each of these reference genes using the 2 (-DeltaDeltaC(T)) method of relative quantification, the number of tumour samples in which HGFR was found to be over-expressed varied from 30% to 63% depending on the reference gene chosen for normalisation. This shows that normalising to a single reference gene without prior validation is inappropriate.

Zinc supplementation of young men alters metallothionein, zinc transporter, and cytokine gene expression in leukocyte populations

An effective measure to assess zinc status of humans has remained elusive, in contrast to iron, where a number of indicators of metabolism/function are available. Using monocytes, T lymphocytes, and granulocytes isolated by magnetic sorting and dried blood spots (DBS) derived from 50 mul of peripheral blood, we evaluated the response of metallothionein (MT), zinc transporter, and cytokine genes to a modest (15 mg of Zn per day) dietary zinc supplement in human subjects. Transcript abundance was measured by quantitative real-time RT-PCR (QRT-PCR). Zinc supplementation increased MT mRNA abundance by up to 2-fold in RNA from leukocyte subsets, and 4-fold in RNA from DBS. Transcript levels for the zinc transporter genes ZnT1 and Zip3 were increased and decreased, respectively, by zinc supplementation. Expression of the ZnT and Zip genes among leukocyte subsets differ by up to 270-fold. Monocytes and granulocytes from supplemented subjects were activated by LPS, whereas T lymphocytes were activated by mimicking antigen presentation. With zinc consumption, TNF-alpha and IL-1beta expression was greater in activated monocytes and granulocytes, and IFN-gamma mRNA levels were higher in activated T lymphocytes. These studies show that QRT-PCR is a tool to reliably measure transcript abundance for nutritionally responsive genes in human subjects, and that a small sample of whole dried blood, when appropriately collected, can be used as the source of total RNA for QRT-PCR analysis. The results obtained also show that zinc supplementation of human subjects programs specific leukocytic subsets to show enhanced cytokine expression upon activation by stimulators of immunity.

Global gene regulation in Yersinia enterocolitica: effect of FliA on the expression levels of flagellar and plasmid-encoded virulence genes

This study describes the involvement of the sigma factor of the flagellar system, FliA, in global gene regulation of Yersinia enterocolitica. In addition to exhibiting a positive effect upon the expression levels of eight class III flagellar operons, FliA also exhibited a negative effect upon the expression levels of four virulence operons that are located on the pYV virulence plasmid. These are yadA, virC, yopQ, and the insertion element ISYen1. While the positive effect on class III flagellar operons by FliA is most likely direct, the negative effect on the virulence operons appears to require the known transcriptional activator of these genes, VirF. This was determined using microarray analysis, quantitative PCR and a search for putative binding sites for FliA. In addition to the FliA regulation of flagellar and plasmid-encoded virulence genes, we studied temperature regulation of these genes. While wild-type cells exhibited increased expression levels of flagellar genes and decreased expression levels of plasmid-encoded virulence genes at 25 degrees C (as compared to 37 degrees C), temperature dependence of gene expression was much reduced in the fliA mutants. We conclude that FliA contributes to the inverse temperature regulation of flagellar and plasmid-encoded virulence genes. We present a network of transcriptional regulation around FlhD/FlhC and FliA.

A comparison of the Thlaspi caerulescens and Thlaspi arvense shoot transcriptomes

Whole-genome transcriptome profiling is revealing how biological systems are regulated at the transcriptional level. This study reports the development of a robust method to profile and compare the transcriptomes of two nonmodel plant species, Thlaspi caerulescens, a zinc (Zn) hyperaccumulator, and Thlaspi arvense, a nonhyperaccumulator, using Affymetrix Arabidopsis thaliana ATH1-121501 GeneChip arrays (Affymetrix, Santa Clara, CA, USA). Transcript abundance was quantified in the shoots of agar- and compost-grown plants of both species. Analyses were optimized using a genomic DNA (gDNA)-based probe-selection strategy based on the hybridization efficiency of Thlaspi gDNA with corresponding A. thaliana probes. In silico alignments of GeneChip probes with Thlaspi gene sequences, and quantitative real-time PCR, confirmed the validity of this approach. Approximately 5000 genes were differentially expressed in the shoots of T. caerulescens compared with T. arvense, including genes involved in Zn transport and compartmentalization. Future functional analyses of genes identified as differentially expressed in the shoots of these closely related species will improve our understanding of the molecular mechanisms of Zn hyperaccumulation.

Advances in molecular phytodiagnostics - new solutions for old problems

In the last decade, developments in molecular (nucleic acid-based) diagnostic methods have made significant improvements in the detection of plant pathogens. By using methods such as the polymerase chain reaction (PCR), the range of targets that can now be reliably diagnosed has grown to the extent that there are now extremely few, known pathogens that cannot be identified accurately by using laboratory-based diagnostics. However, while the detection of pathogens in individual, infected samples is becoming simpler, there are still many scenarios that present a major challenge to diagnosticians and plant pathologists. Amongst these are the detection of pathogens in soil or viruses in their vectors, high throughput testing and the development of generic methods, that allow samples to be simultaneously screened for large numbers of pathogens. Another major challenge is to develop robust technologies that avoid the reliance on well-equipped central laboratories and making reliable diagnostics available to pathologists in the field or in less-developed countries. In recent years, much of the research carried out on phytodiagnostics has focussed in these areas and as a result many novel, routine diagnostic tests are becoming available. This has been possible due to the introduction of new molecular technologies such real-time PCR and microarrays. These advances have been complemented by the development of new nucleic acid extraction methods, increased automation, reliable internal controls, assay multiplexing and generic amplification methods. With developments in new hardware, field-portable real-time PCR is now also a reality and offers the prospect of ultra-rapid, on-site molecular diagnostics for the first time. In this paper, the development and implementation of new diagnostic methods based upon novel molecular techniques is presented, with specific examples given to demonstrate how these new methods can be used to overcome some long-standing problems.

Quantification by real-time PCR of developmental and adult myosin mRNA in rat muscles

A real-time RT-PCR assay using newly designed primers was developed to analyze developmental and adult MHC mRNA expression both in skeletal muscles and single fibers. Only 4 ng of total RNA was necessary for the analysis of the relative mRNA expression of MHC genes. Different validation steps were realized concerning both specificity and sensitivity of each primer set, and linearity and efficiency of each real-time PCR amplification. Then, quantification of MHC mRNA in neonatal and adult muscles as well as in single fibers was done by the deltaC(T) method, with CycA gene as the reference gene. Due to a higher sensitivity than that of a competitive PCR method, we demonstrated that this assay is suitable to study very low level of MHC mRNA expression as developmental MHC in adult muscle and to quantify mRNA from very small samples.

Transcriptional profiling with a blood pressure QTL interval-specific oligonucleotide array

Although the evidence for a genetic predisposition to human essential hypertension is compelling, the genetic control of blood pressure (BP) is poorly understood. The Dahl salt-sensitive (S) rat is a model for studying the genetic component of BP. Using this model, we previously reported the identification of 16 different genomic regions that contain one or more BP quantitative trait loci (QTLs). The proximal region of rat chromosome 1 contains multiple BP QTLs. Of these, we have localized the BP QTL1b region to a 13.5-cM (20.92 Mb) region. Interestingly, five additional independent studies in rats and four independent studies in humans have reported genetic linkage for BP control by regions homologous to QTL1b. To view the overall renal transcriptional topography of the positional candidate genes for this QTL, we sought a comparative gene expression profiling between a congenic strain containing QTL1b and control S rats by employing 1) a saturated QTL1b interval-specific oligonucleotide array and 2) a whole genome cDNA microarray representing 20,465 unique genes that are positioned outside the QTL. Results indicated that 17 of the 231 positional candidate genes for this QTL are differentially expressed between the two strains tested. Surprisingly, >1,500 genes outside of QTL1b were differentially expressed between the two rat strains. Integrating the results from the two approaches revealed at least one complex network of transcriptional control initiated by the positional candidate Nr2f2. This network appears to account for the majority of gene expression differences occurring outside of the QTL interval. Further substitution mapping is currently underway to test the validity of each of these differentially expressed positional candidate genes. These results demonstrate the importance of using a saturated oligonucleotide array for identifying and prioritizing differentially expressed positional candidate genes of a BP QTL.