Quantification of mRNA by polymerase chain reaction (PCR) using an internal standard and a nonradioactive detection method

Screening of reference genes in tiger puffer (Takifugu rubripes) across tissues and under different nutritional conditions

The present study was aimed at screening suitable reference genes for quantitative real-time polymerase chain reaction (qRT-PCR) in tiger puffer (Takifugu rubripes), an important aquaculture species in Asia and also a good model species for lipid research. Specifically, this reference gene screening was targeted at standardization of gene expression in different tissues (liver, muscle, brain, intestine, heart, eye, skin, and spleen) or under different nutritional conditions (starvation and different dietary lipid levels). Eight candidate reference genes (ribosomal protein L19 and L13 (RPL19 and RPL13), elongation factor-1 alpha (EF1α), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), hypoxanthine guanine phosphoribosyl transferase1 (HPRT1), beta-2-Microglobulin (B2M), 18S ribosomal RNA (18SrRNA), and beta actin (ACTB)) were evaluated with four algorithms (geNorm, NormFinder, BestKeeper, and comparative ΔCt method). The results showed that different algorithms generated inconsistent results. Based on these findings, RPL19, EF1α, 18SrRNA, and RPL13 were relatively stable in different tissues of tiger puffer. During starvation conditions, ACTB/RPL19 was the best reference gene combination. Under different dietary lipid levels, ACTB/RPL13 was the most suitable reference gene combination. The present results will help researchers to obtain more accurate results in future qRT-PCR analysis in tiger puffer.

Putative Internal Control Genes in Bovine Milk Small Extracellular Vesicles Suitable for Normalization in Quantitative Real Time-Polymerase Chain Reaction

Bovine milk small extracellular vesicles (sEVs) contain many biologically important molecules, including mRNAs. Quantitative real-time polymerase chain reaction (qRT-PCR) is a widely used method for quantifying mRNA in tissues and cells. However, the use, selection, and stability of suitable putative internal control genes in bovine milk sEVs for normalization in qRT-PCR have not yet been identified. Thus, the aim of the present study was to determine suitable putative internal control genes in milk sEVs for the normalization of qRT-PCR data. Milk sEVs were isolated from six healthy Holstein-Friesian cattle, followed by RNA extraction and cDNA synthesis. In total, 17 mRNAs were selected for investigation and quantification using qRT-PCR; they were further evaluated using geNorm, NormFinder, BestKeeper, and ∆CT algorithms to identify those that were highly stable putative internal control genes in milk sEVs. The final ranking of suitable putative internal control genes was determined using RefFinder. The mRNAs from TUB, ACTB, DGKZ, ETFDH, YWHAZ, STATH, DCAF11, and EGFLAM were detected in milk sEVs from six cattle by qRT-PCR. RefFinder demonstrated that TUB, ETFDH, and ACTB were highly stable in milk sEVs, and thus suitable for normalization of qRT-PCR data. The present study suggests that the use of these genes as putative internal control genes may further enhance the robustness of qRT-PCR in bovine milk sEVs. Since these putative internal control genes apply to healthy bovines, it would be helpful to include that the genes were stable in sEVs under “normal or healthy conditions”.

Quantification of Actaea racemosa L. (black cohosh) from some of its potential adulterants using qPCR and dPCR methods

The demand for popular natural health products (NHPs) such as Black Cohosh is increasing considerably, which in turn challenges quality assurance (QA) throughout the supply chain. To detect and quantify the target species present in a given NHP, DNA-based molecular techniques such as Real-time quantitative PCR (qPCR) and digital PCR (dPCR) are standard tools in the food and pathogen testing industries. There is a gap in the literature concerning validated quantitative PCR methods for botanicals that can be utilized for QA and good manufacturing practices. The objective of this study is to develop an efficient quantification method using qPCR and dPCR techniques for the detection and quantification of Actaea racemosa (Black cohosh) NHPs from its potential adulterants. These developed methods are validated for applicability on commercial NHPs. Species-specific hydrolysis probe assays were designed to analyze the black cohosh NHPs using qPCR and dPCR techniques. The results confirmed that the developed qPCR and dPCR methods are highly precise for identifying and quantifying black cohosh NHPs, indicating their potential applicability in future routine industrial and laboratory testing. This enables a single qPCR test to determine not only the presence of a specific botanical, but also the amount when mixed with an adulterant.

Ratio of the interferon-γ signature to the immunosuppression signature predicts anti-PD-1 therapy response in melanoma

Immune checkpoint inhibitor (ICI) treatments produce clinical benefit in many patients. However, better pretreatment predictive biomarkers for ICI are still needed to help match individual patients to the treatment most likely to be of benefit. Existing gene expression profiling (GEP)-based biomarkers for ICI are primarily focused on measuring a T cell-inflamed tumor microenvironment that contributes positively to the response to ICI. Here, we identified an immunosuppression signature (IMS) through analyzing RNA sequencing data from a combined discovery cohort (n = 120) consisting of three publicly available melanoma datasets. Using the ratio of an established IFN-γ signature and IMS led to consistently better prediction of the ICI therapy outcome compared to a collection of nine published GEP signatures from the literature on a newly generated internal validation cohort (n = 55) and three published datasets of metastatic melanoma treated with anti-PD-1 (n = 54) and anti-CTLA-4 (n = 42), as well as in patients with gastric cancer treated with anti-PD-1 (n = 45), demonstrating the potential utility of IMS as a predictive biomarker that complements existing GEP signatures for immunotherapy.

Selecting Appropriate Reference Genes for Quantitative Real-Time Polymerase Chain Reaction Studies in Isolated and Cultured Ocular Surface Epithelia

The introduction of tissue engineering has allowed scientists to push the boundaries and treat seriously damaged ocular surface epithelia. They have managed to do this through the development of biological substitutes that restore, maintain or improve tissue function. To ensure the generation of a therapeutically safe and effective graft, knowledge on the transcriptional profile of native and cultured ocular surface epithelia is of undeniable value. Gene expression studies are, however, only as reliable as their proper selection of internal reaction controls or reference genes. In this study, we determined the expression stability of a number of reference genes: 18s rRNA, ACTB, ATP5B, CyC1, EIF4A2, GAPDH, RPL13A, SDHA, TOP1, UBC, and YWHAZ in primary isolates as well as in ex vivo cultured ocular surface epithelia explants (day 0 and/or day 14). Expression stability of the reference genes was assessed with both the geNorm and NormFinder software that use a pairwise comparison and a model-based approach, respectively. Our results extend the general recommendation of using multiple reference genes for normalization purposes to our model systems and provide an overview of several references genes that are likely to be stable in similar culture protocols.

Human Brain Region-Specific Alternative Splicing of TRPC3, the Type 3 Canonical Transient Receptor Potential Non-Selective Cation Channel

Canonical transient receptor potential (TRPC) non-selective cation channels are broadly expressed by neurons, glia and the microvasculature of the brain. In neurons and astrocytes, these ion channels are coupled to group I metabotropic glutamate receptors via Gαq-phospholipase C signal transduction. In the mouse cerebellar Purkinje neurons, TRPC channels assembled as tetramers of TRPC3 subunits exclusively mediate this glutamatergic signalling mechanism and regulation of alternative splicing results in dominance of a high Ca²⁺ conducting TRPC3c isoform. This regional control of TRPC3 transcript type likely has physiological and pathophysiological sequelae. The current study provides a quantitative comparison of the TRPC3c splice variant and the TRPC3b full-length isoform expression across seven regions of the human brain. This shows that the cerebellum has the highest expression level of both isoforms and that regulation of alternative splicing results in a higher propensity of the TRPC3c isoform in the cerebellum relative to the TRPC3b isoform (in a 1:3 ratio). This compares with the other regions (motor cortex, hippocampus, midbrain subregions, pons and medulla) where the prevalence of TRPC3c relative to TRPC3b is typically less than half as abundant. The finding here of a bias in the high-conductance TRPC3c isoform in the cerebellum is consistent with the enhanced vulnerability of the cerebellum to ischaemic injury.

Selective Suppression of Cell Growth and Programmed Cell Death-Ligand 1 Expression in HT1080 Fibrosarcoma Cells by Low Molecular Weight Fucoidan Extract

Low molecular weight fucoidan extract (LMF), prepared by an abalone glycosidase digestion of a crude fucoidan extracted from Cladosiphon novae-caledoniae Kylin, exhibits various biological activities, including anticancer effect. Various cancers express programmed cell death-ligand 1 (PD-L1), which is known to play a significant role in evasion of the host immune surveillance system. PD-L1 is also expressed in many types of normal cells for self-protection. Previous research has revealed that selective inhibition of PD-L1 expressed in cancer cells is critical for successful cancer eradication. In the present study, we analyzed whether LMF could regulate PD-L1 expression in HT1080 fibrosarcoma cells. Our results demonstrated that LMF suppressed PD-L1/PD-L2 expression and the growth of HT1080 cancer cells and had no effect on the growth of normal TIG-1 cells. Thus, LMF differentially regulates PD-L1 expression in normal and cancer cells and could serve as an alternative complementary agent for treatment of cancers with high PD-L1 expression.

Relative and Absolute Expression Analysis of MicroRNAs Associated with Luminal A Breast Cancer- A Comparison

MicroRNAs, as small non-coding regulatory RNAs, play crucial roles in various aspects of breast cancer biology. They have prognostic and diagnostic value, which makes them very interesting molecules to investigate. Reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) is the gold standard method to analyse miRNA expression in breast cancer patients. This study investigated two RT-qPCR methods (absolute and relative) to determine the expression of ten miRNAs in whole blood samples obtained from luminal A breast cancer patients compared to healthy controls. Whole blood samples were collected from 38 luminal A breast cancer patients and 20 healthy controls in Paxgene blood RNA tubes. Total RNA was extracted and analysed by relative and absolute RT-qPCR. For relative RT-qPCR, miR-16 was used as an endogenous control. For absolute RT-qPCR, standard curves were generated using synthetic miRNA oligonucleotides to determine the absolute copy number of each miRNA. Of the ten miRNAs that were analysed, the absolute RT-qPCR method identified six miRNAs (miR-16, miR-145, miR-155, miR-451a, miR-21 and miR-486) that were upregulated and one miRNA (miR-195) that was downregulated. ROC curve and AUC analysis of the data found that the combination of three miRNAs (miR-145, miR-195 and miR-486) had the best diagnostic value for luminal A breast cancer with an AUC of 0.875, with 76% sensitivity and 81% specificity. On the other hand, the relative RT-qPCR method identified two miRNAs (miR-155 and miR-486) that were upregulated and miR-195, which was downregulated. Using this approach, the combination of three miRNAs (miR-155, miR-195 and miR-486) was showed to have an AUC of 0.657 with 65% sensitivity and 69% specificity. We conclude that miR-16 is not a suitable normalizer for the relative expression profiling of miRNAs in luminal A breast cancer patients. Compared to relative quantification, absolute quantification assay is a better method to determine the expression level of circulating miRNAs in Luminal A breast cancer.

Validation of Reference Genes for Expression Studies in Human Meningiomas under Different Experimental Settings

Quantitative polymerase chain reaction (qPCR) is a sensitive technique for the quantitative analysis of gene expression levels. To compare mRNA transcripts across tumour and non-pathological tissue, appropriate reference genes are required for internal standardisation. Validation of these reference genes in meningiomas has not yet been reported. After mRNA transcription of meningioma (WHO grade I-III) and meningeal tissue from three different experimental sample types (fresh tissue, primary cell cultures and FFPE tissue), 13 candidate reference genes (ACTB, B2M, HPRT, VIM, GAPDH, YWHAZ, EIF4A2, MUC1, ATP5B, GNB2L, TUBB, CYC1, RPL13A) were chosen for quantitative expression analysis. Two statistical algorithms (GeNorm and NormFinder) were used for validation of gene expression stability. All candidate housekeepers tested for stability were checked within and across the three tissue analysis groups. Pearson correlation, the ΔC _t method and ranking analysis identified the most non-regulated genes suitable for internal standardisation. TUBB, HPRT and ACTB were the most stably expressed genes for all analysis groups across meningioma and non-pathological meningeal tissue combined. In contrast, analysis of the consistency of reference gene expression within specific meningioma and meningeal tissues resulted in specific reference gene rankings for each tissue type. Future gene expression analyses require reference genes to be chosen that are suitable for the tissue types and for the experimental paradigms being studied. Validation of candidate housekeeper genes in meningiomas for quantitative real-time polymerase chain reaction revealed for the first time TUBB, ACTB and HPRT as the most consistently expressed genes among meningioma and non-pathological meningeal tissue across a range of experimental settings.

Normalization with Corresponding Naïve Tissue Minimizes Bias Caused by Commercial Reverse Transcription Kits on Quantitative Real-Time PCR Results

Real-time reverse transcription polymerase chain reaction (PCR) is the gold standard for expression analysis. Designed to improve reproducibility and sensitivity, commercial kits are commonly used for the critical step of cDNA synthesis. The present study was designed to determine the impact of these kits. mRNA from mouse brains were pooled to create serial dilutions ranging from 0.0625 μg to 2 μg, which were transcribed into cDNA using four different commercial reverse-transcription kits. Next, we transcribed mRNA from brain tissue after acute brain injury and naïve mice into cDNA for qPCR. Depending on tested genes, some kits failed to show linear results in dilution series and revealed strong variations in cDNA yield. Absolute expression data in naïve and trauma settings varied substantially between these kits. Normalization with a housekeeping gene failed to reduce kit-dependent variations, whereas normalization eliminated differences when naïve samples from the same region were used. The study shows strong evidence that choice of commercial cDNA synthesis kit has a major impact on PCR results and, consequently, on comparability between studies. Additionally, it provides a solution to overcome this limitation by normalization with data from naïve samples. This simple step helps to compare mRNA expression data between different studies and groups.

Unstable Expression of Commonly Used Reference Genes in Rat Pancreatic Islets Early after Isolation Affects Results of Gene Expression Studies

The use of RT-qPCR provides a powerful tool for gene expression studies; however, the proper interpretation of the obtained data is crucially dependent on accurate normalization based on stable reference genes. Recently, strong evidence has been shown indicating that the expression of many commonly used reference genes may vary significantly due to diverse experimental conditions. The isolation of pancreatic islets is a complicated procedure which creates severe mechanical and metabolic stress leading possibly to cellular damage and alteration of gene expression. Despite of this, freshly isolated islets frequently serve as a control in various gene expression and intervention studies. The aim of our study was to determine expression of 16 candidate reference genes and one gene of interest (F3) in isolated rat pancreatic islets during short-term cultivation in order to find a suitable endogenous control for gene expression studies. We compared the expression stability of the most commonly used reference genes and evaluated the reliability of relative and absolute quantification using RT-qPCR during 0–120 hrs after isolation. In freshly isolated islets, the expression of all tested genes was markedly depressed and it increased several times throughout the first 48 hrs of cultivation. We observed significant variability among samples at 0 and 24 hrs but substantial stabilization from 48 hrs onwards. During the first 48 hrs, relative quantification failed to reflect the real changes in respective mRNA concentrations while in the interval 48–120 hrs, the relative expression generally paralleled the results determined by absolute quantification. Thus, our data call into question the suitability of relative quantification for gene expression analysis in pancreatic islets during the first 48 hrs of cultivation, as the results may be significantly affected by unstable expression of reference genes. However, this method could provide reliable information from 48 hrs onwards.

Identification of reference proteins for Western blot analyses in mouse model systems of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) toxicity

Western blotting is a well-established, inexpensive and accurate way of measuring protein content. Because of technical variation between wells, normalization is required for valid interpretation of results across multiple samples. Typically this involves the use of one or more endogenous controls to adjust the measured levels of experimental molecules. Although some endogenous controls are widely used, validation is required for each experimental system. This is critical when studying transcriptional-modulators, such as toxicants like 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD).To address this issue, we examined hepatic tissue from 192 mice representing 47 unique combinations of strain, sex, Ahr-genotype, TCDD dose and treatment time. We examined 7 candidate reference proteins in each animal and assessed consistency of protein abundance through: 1) TCDD-induced fold-difference in protein content from basal levels, 2) inter- and intra- animal stability, and 3) the ability of each candidate to reduce instability of the other candidates. Univariate analyses identified HPRT as the most stable protein. Multivariate analysis indicated that stability generally increased with the number of proteins used, but gains from using >3 proteins were small. Lastly, by comparing these new data to our previous studies of mRNA controls on the same animals, we were able to show that the ideal mRNA and protein control-genes are distinct, and use of only 2–3 proteins provides strong stability, unlike in mRNA studies in the same cohort, where larger control-gene batteries were needed.

Evidence based selection of commonly used RT-qPCR reference genes for the analysis of mouse skeletal muscle

The ability to obtain accurate and reproducible data using quantitative real-time Polymerase Chain Reaction (RT-qPCR) is limited by the process of data normalization. The use of ‘housekeeping’ or ‘reference’ genes is the most common technique used to normalize RT-qPCR data. However, commonly used reference genes are often poorly validated and may change as a result of genetic background, environment and experimental intervention. Here we present an analysis of 10 reference genes in mouse skeletal muscle (Actb, Aldoa, Gapdh, Hprt1, Ppia, Rer1, Rn18s, Rpl27, Rpl41 and Rpl7L1), which were identified as stable either by microarray or in the literature. Using the MIQE guidelines we compared wild-type (WT) mice across three genetic backgrounds (R129, C57BL/6j and C57BL/10) as well as analyzing the α-actinin-3 knockout (Actn3 KO) mouse, which is a model of the common null polymorphism (R577X) in human ACTN3. Comparing WT mice across three genetic backgrounds, we found that different genes were more tightly regulated in each strain. We have developed a ranked profile of the top performing reference genes in skeletal muscle across these common mouse strains. Interestingly the commonly used reference genes; Gapdh, Rn18s, Hprt1 and Actb were not the most stable. Analysis of our experimental variant (Actn3 KO) also resulted in an altered ranking of reference gene suitability. Furthermore we demonstrate that a poor reference gene results in increased variability in the normalized expression of a gene of interest, and can result in loss of significance. Our data demonstrate that reference genes need to be validated prior to use. For the most accurate normalization, it is important to test several genes and use the geometric mean of at least three of the most stably expressed genes. In the analysis of mouse skeletal muscle, strain and intervention played an important role in selecting the most stable reference genes.

No control genes required: Bayesian analysis of qRT-PCR data

BACKGROUND

Model-based analysis of data from quantitative reverse-transcription PCR (qRT-PCR) is potentially more powerful and versatile than traditional methods. Yet existing model-based approaches cannot properly deal with the higher sampling variances associated with low-abundant targets, nor do they provide a natural way to incorporate assumptions about the stability of control genes directly into the model-fitting process.

RESULTS

In our method, raw qPCR data are represented as molecule counts, and described using generalized linear mixed models under Poisson-lognormal error. A Markov Chain Monte Carlo (MCMC) algorithm is used to sample from the joint posterior distribution over all model parameters, thereby estimating the effects of all experimental factors on the expression of every gene. The Poisson-based model allows for the correct specification of the mean-variance relationship of the PCR amplification process, and can also glean information from instances of no amplification (zero counts). Our method is very flexible with respect to control genes: any prior knowledge about the expected degree of their stability can be directly incorporated into the model. Yet the method provides sensible answers without such assumptions, or even in the complete absence of control genes. We also present a natural Bayesian analogue of the "classic" analysis, which uses standard data pre-processing steps (logarithmic transformation and multi-gene normalization) but estimates all gene expression changes jointly within a single model. The new methods are considerably more flexible and powerful than the standard delta-delta Ct analysis based on pairwise t-tests.

CONCLUSIONS

Our methodology expands the applicability of the relative-quantification analysis protocol all the way to the lowest-abundance targets, and provides a novel opportunity to analyze qRT-PCR data without making any assumptions concerning target stability. These procedures have been implemented as the MCMC.qpcr package in R.

Normalizing gene expression levels in mouse fetal germ cells

Real-time PCR has become a popular method to analyze transcription of genes that are developmentally regulated during organogenesis of the testes and ovaries. However, the heterogenous cell populations and commitment to strikingly different developmental pathways of the germ and somatic cells in these organs complicate analysis of this process. The selection of suitable reference genes for quantifying gene expression in this system is essential, but to date it has not been sufficiently addressed. To rectify this problem, we have used fluorescence-activated cell sorting to purify germ cells from mouse fetal testes and ovaries and examined 16 common housekeeping genes for their suitability as reference genes. In pure populations of germ cells isolated from Embryonic Day 12.5 (E12.5) to E15.5 male and female gonads, Mapk1 and Sdha were identified as the most stable reference genes. Analysis of the heterogenous fraction of gonadal somatic cells revealed that Canx and Top1 were stable in both sexes, whereas a comparative analysis of germ and somatic cell populations identified Canx and Mapk1 as suitable reference genes through these developmental stages. Application of these reference genes to quantification of gene expression in developing gonads revealed that past assays, which employed nonverified reference genes, have in some cases provided misleading gene expression profiles. This study has identified suitable reference genes to directly compare expression profiles of genes expressed in germ and somatic cells of male and female fetal gonads. Application of these reference genes to expression analysis in fetal germ and somatic cells provides a more accurate system in which to profile gene expression in these tissues.

PSMB2 and RPL32 are suitable denominators to normalize gene expression profiles in bronchoalveolar cells

BACKGROUND

For accuracy of quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR), normalisation with suitable reference genes is required. To date, no reference genes have been validated for expression studies of bronchoalveolar (BAL) cells. The aims of this study were to identify gene(s) with stable mRNA expression in BAL cells irrespective of gender, smoking, BAL cellular composition, lung pathology, treatment; and to assess the influence of reference genes on target gene expression data.

RESULTS

The mRNA expression of ten housekeeping genes (ACTB, ARF1, CANX, G6PD, GAPDH, GPS1, GNB2L1, PSMB2, PSMD2, RPL32) was investigated by qRT-PCR in BAL cells from 71 subjects across a spectrum of lung diseases. The analyses were validated in an independent BAL cohort from 63 sarcoidosis patients and 17 control subjects. A second derivative method was used to calculate expression values (CTt); an equivalence test, applets BestKeeper, geNorm and NormFinder were applied to investigate gene expression stability. Of the investigated genes, PSMB2 (CTt +/- SD, 23.66 +/- 0.86) and RPL32 (18.65 +/- 0.92) were the most stable; both were constantly expressed in BAL samples from parallel investigated cohorts irrespective of evaluated variables. Finally, to demonstrate effect of traditional (ACTB/GAPDH) and novel (PSMB2/RPL32) reference genes as denominators, expression of two cytokines known associated with sarcoidosis was investigated in sarcoid BAL cells. While normalization with PSMB2/RPL32 resulted in elevated IFNG mRNA expression (p = 0.004); no change was observed using GAPDH/ACTB (p > 0.05). CCL2 mRNA up-regulation was observed only when PSMB2/RPL32 were used as denominators (p < 0.03).

CONCLUSION

PSMB2 and RPL32 are, therefore, suitable reference genes to normalize qRT-PCR in BAL cells in sarcoidosis, and other interstitial lung disease.

Gene expression analysis of interferon kappa in laser capture microdissected cervical epithelium

Optimal sample handling techniques for tissue preparation and storage, RNA extraction and quantification, and target gene detection are crucial for reliable gene expression analysis. Methods for measuring low-expressing genes, such as interferons, in human cervical samples are not described in the scientific literature. To detect interferon mRNA in human cervical samples we obtained normal and dysplastic frozen and formalin-fixed cervical biopsies from colposcopy. Histopathological diagnosis was performed by one pathologist. Cervical keratinocytes were isolated using laser capture microdissection. Immortalized keratinocytes transduced with or devoid of an HPV oncogene were used for initial method development. RNA from samples was extracted and integrity tested to compare tissue storage and extraction methods. The expression of five housekeeping genes was analyzed in cell lines and patient tissue to permit normalization between samples using quantitative real-time polymerase chain reaction. The usefulness of cDNA amplification was assessed for the detection of low-expressing interferon kappa in cervical tissue. Here we report optimal tissue storage conditions, RNA extraction, sample normalization, and transcript amplification, as well as the sensitivity of quantitative real-time polymerase chain reaction and laser capture microdissection, for interferon kappa detection in cervical tissue. Without these optimized techniques, interferon kappa detection would be unattainable in cervical samples.

Expression levels of the mitochondrial IAP antagonists Smac/DIABLO and Omi/HtrA2 in clear-cell renal cell carcinomas and their prognostic value

PURPOSE

Numerous molecular parameters are thought to be implicated in renal cell carcinoma (RCC) tumor biology and may therefore reflect the malignant potential of individual tumors. Their investigation may thus help to improve the postoperative management of RCC patients. This study characterized the mRNA expression levels and evaluated the prognostic effect of the mitochondrial inhibitor of apoptosis antagonists Smac/DIABLO and Omi/HtrA2 in tumor tissue from clear-cell RCC patients.

METHODS

The relative gene expression (RGE) was analyzed by real-time RT-PCR in tumor tissue obtained from 85 patients (median follow-up: 47 months) following surgical treatment. Expression data was correlated to clinico-pathological variables and outcome.

RESULTS

The RGE of Smac/DIABLO was lowest in patients with primary metastases, intermediate in those who progressed to metastatic disease, and highest in those who did not develop metastases during follow-up (P=0.006). Expression levels of Smac/DIABLO and Omi/HtrA2 were strongly correlated with each other (Pearson coefficient 0.90). Recurrence-free and tumor-specific survival was shorter in patients with low Smac/DIABLO levels (P=0.019 and P=0.001) as well as in those with low Omi/HtrA2 tumor expression (P=0.033 and P=0.032). Contrary to Omi/HtrA2, low Smac/DIABLO levels were still predictive of a reduced time to recurrence (hazard rate 5.31; 95% CI: 1.16-24.21) and tumor-specific survival (hazard rate 4.24; 95% CI: 1.22-14.77) in explorative multivariate analysis.

CONCLUSIONS

The mRNA expression levels of the mitochondrial IAP antagonists Smac/DIABLO and Omi/HtrA2 are strongly inter-correlated, but do not relate to tumor stage or grade of RCC. Our data suggest that expression of Smac/DIABLO, but not Omi/HtrA2, is inversely associated with outcome of RCC patients.

Expression of the polycomb group protein EZH2 and its relation to outcome in patients with urothelial carcinoma of the bladder

PURPOSE

The polycomb group protein Enhancer of Zeste Homolg 2 (EZH2), a repressor of gene transcription, has been linked to the progression of various malignancies. This study was done to examine a potential correlation of EZH2 mRNA expression with clinicopathological parameters and outcome in patients with urothelial carcinoma (UC) of the bladder.

METHODS

We determined the relative EZH2 gene expression by quantitative RT-PCR in tumor specimens from a cohort of 100 patients with UC (mean follow-up 44.2 months). EZH2 expression levels were correlated to pathological tumor features and outcome.

RESULTS

Enhancer of Zeste Homolg 2 was expressed in 90% of the tumor samples. Expression levels increased in parallel with tumor stage (P = 0.002). High grade UC displayed significantly elevated EZH2 levels compared to low grade disease (P < 0.0001). High EZH2 expression was related to an abbreviated time to recurrence in muscle invasive carcinomas (pT >/= 2) (P = 0.028). No such correlation was detected in the group of superficial tumors (pT </= 1) (P = 0.191). High EZH2 expression levels were associated with an increased risk of tumor related death in the univariate analysis (relative risk, 3.1; P = 0.029). This association became non-significant when the prognostic effect of tumor stage was considered in a multivariate model.

CONCLUSIONS

Enhancer of Zeste Homolg 2 expression is related to an aggressive tumor behavior but due to its strong association with pathological features, EZH2 levels do not provide independent prognostic information.

The equilibrium of XIAP and Smac/DIABLO expression is gradually deranged during the development and progression of testicular germ cell tumours

Overexpression of the inhibitor of apoptosis protein (IAP) XIAP (BIRC4) and downregulation of its antagonist Smac/DIABLO (DIABLO) are associated with the onset and progression of various malignancies. In this study, real-time RT-PCR was used to quantify the mRNA expression of XIAP and Smac/DIABLO in normal testicular tissue (n = 19), testicular carcinoma in situ (CIS; n = 4), testicular seminomas (n = 64) and non-seminomatous germ cell tumours (NSGCT; n = 35). XIAP and Smac/DIABLO were commonly expressed in normal and malignant testicular tissue with no apparent differences in XIAP mRNA levels among the histologic subgroups. Smac/DIABLO levels, on the other hand, gradually decreased from normal testicular tissue to CIS and seminomas and finally to NSGCT (p < 0.001). An inverse trend was observed when calculating the XIAP-to-Smac/DIABLO ratio (p < 0.001). This ratio differed when comparing normal testicular tissue with CIS (p = 0.014), seminomas (p < 0.001) and NSGCT (p < 0.001) and when comparing seminomas with NSGCT (p = 0.002), whereas no such difference was observed between CIS and seminomas (p = 0.302). TGCT patients dichotomized by the overall median XIAP-to-Smac/DIABLO ratio were more likely to present with a high ratio in clinical stage (CS) III than in CS I or II (p = 0.034). These data indicate that the balance of mRNA expression between XIAP and Smac/DIABLO is altered in favour of antiapoptotic XIAP during the development and progression of TGCT. Thus the expression of proapoptotic Smac/DIABLO is lowest in NSGCT and stage III tumours.

Methylation of tumour suppressor genes APAF-1 and DAPK-1 and in vitro effects of demethylating agents in bladder and kidney cancer

To examine the significance of the methylation level of the p53 target and tumour suppressor genes apoptotic protease activating factor-1 (APAF-1) and death-associated protein kinase-1 (DAPK-1) in 80 microdissected tumour samples from transitional cell carcinoma (TCC) of the bladder and 80 tumour samples from clear-cell renal cell carcinoma (RCC) as well as from non-tumourous bladder and kidney tissue. Growth-inhibitory effects of the demethylating agents 5-Aza-2′-deoxycytidine (5-Aza-CdR) and zebularine were investigated in TCC and RCC cell lines. The methylation frequency of APAF-1 (DAPK-1) was 100% (77%) in TCC and 100% (33%) in RCC. The methylation levels of APAF-1 could differentiate between the individual tumour stages in TCC as well as in RCC. The APAF-1 methylation levels in RCC were significantly higher in tumours larger than 4 cm and in high-grade tumours. The methylation frequencies in normal tissue for APAF-1 (DAPK-1) were 11% (8%) in bladder tissue and 9% (5%) in kidney tissue. The growth-inhibitory effect of the demethylating agents in TCC (RT4, T24) and RCC (A498, ClearCa-5) cell lines resulted in a 17–132% prolongation of the doubling time (DT). In RCC cell lines, zebularine was superior to 5-Aza-CdR in achieving a DT prolongation. Quantitative real time RT-PCR detected a re-expression of mRNA transcripts of APAF-1 or DAPK-1. In conclusion, demethylating agents effectively retard growth of TCC and RCC cell lines. Methylation level analysis of specific genes has the potential for further tumour characterisation in TCC and RCC.

Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR

Background

Control genes, which are often referred to as housekeeping genes, are frequently used to normalise mRNA levels between different samples. However, the expression level of these genes may vary among tissues or cells and may change under certain circumstances. Thus, the selection of housekeeping genes is critical for gene expression studies. To address this issue, 7 candidate housekeeping genes including several commonly used ones were investigated in isolated human reticulocytes. For this, a simple ΔCt approach was employed by comparing relative expression of 'pairs of genes' within each sample. On this basis, stability of the candidate housekeeping genes was ranked according to repeatability of the gene expression differences among 31 samples.

Results

Initial screening of the expression pattern demonstrated that 1 of the 7 genes was expressed at very low levels in reticulocytes and was excluded from further analysis. The range of expression stability of the other 6 genes was (from most stable to least stable): GAPDH (glyceraldehyde 3-phosphate dehydrogenase), SDHA (succinate dehydrogenase), HPRT1 (hypoxanthine phosphoribosyl transferase 1), HBS1L (HBS1-like protein) and AHSP (alpha haemoglobin stabilising protein), followed by B2M (beta-2-microglobulin).

Conclusion

Using this simple approach, GAPDH was found to be the most suitable housekeeping gene for expression studies in reticulocytes while the commonly used B2M should be avoided.

Epigenetic silencing of the putative tumor suppressor gene testisin in testicular germ cell tumors

PURPOSE

Testisin, a serine protease abundantly expressed only in normal testes, is thought to be a tumor suppressor gene silenced by aberrant methylation in testicular germ cell tumors (TGCT). This study aimed at identifying the CpG sites relevant for testisin gene silencing when methylated and evaluating the potential of aberrant methylation as a biomarker in TGCT.

METHODS

Bisulfite sequencing and subsequent real-time RT-PCR were carried out in germ cell tumor cell lines and a cervical carcinoma cell line to reveal CpG sites implicated in testisin gene silencing. The normalized index of methylation (NIM) and the relative gene expression (RGE) were calculated in 33 TGCT and 19 normal testicular tissue samples by quantitative methylation-specific PCR (QMSP) and real-time RT-PCR.

RESULTS

CpG sites in the 5'untranslated region proved to be relevant for testisin gene silencing when methylated. Targeting these CpG sites by QMSP, we demonstrated that the median NIM was 8.6 times higher in the TGCT group than in normal testicular samples. This was associated with a median 23.6 times lower RGE in the TGCT probes. Non-seminomas had a significantly higher NIM than seminomas, but RGE was downregulated to comparable levels in both subgroups. QMSP was highly sensitive and distinguished TGCT from normal samples with excellent specificity.

CONCLUSIONS

Our results demonstrate for the first time that aberrant methylation of specific CpG sites near the transcription initiation site is an important factor in testisin gene silencing in TGCT.

Gene expression studies in prostate cancer tissue: which reference gene should be selected for normalization?

Using quantitative reverse transcription-polymerase chain reaction (RT-PCR), reference genes are utilized as endogenous controls for relative quantification of target genes in gene profiling studies. The suitability of housekeeping genes for that purpose in prostate cancer tissue has not been sufficiently investigated so far. The objective of this study was to select from a panel of 16 potential candidate reference genes the most stable genes for gene normalization. Expression of mRNA encoding ACTB, ALAS1, ALB, B2M, G6PD, GAPD, HMBS, HPRT1, K-ALPHA-1, POLR2A, PPIA, RPL13A, SDHA, TBP, UBC, and YWHAZ was examined in matched, microdissected malignant and nonmalignant tissue specimens obtained from 17 nontreated prostate carcinomas after radical prostatectomy by real-time RT-PCR. The genes studied displayed a wide expression range with cycle threshold values between 16 and 37. The expression was not different between samples from pT2 and pT3 tumors or between samples with Gleason scores <7 and >or=7 (P>0.05). ACTB, RPL13A, and HMBS showed significant differences (P<0.02 at least) in expressions between malignant and nonmalignant pairs. All other genes did not differ between the matched pairs, and the software programs geNorm and NormFinder were used to ascertain the most suitable reference genes from these candidates. HPRT1, ALAS1, and K-ALPHA-1 were calculated by both programs to be the most stable genes covering a broad range of expression. The expression of the target gene RECK normalized with HRPT1 alone and with the normalization factors generated by the combination of these three reference genes as well as with the unstable genes ACTB or RPL13A is given. That example shows the significance of using suitable reference genes to avoid erroneous normalizations in gene profiling studies for prostate cancer. The use of HPRT1 alone as a reference gene shown in our study was sufficient, but the normalization factors generated from two (HRPT1, ALAS1) or all three genes (HRPT1, ALAS1, K-ALPHA-1) should be considered for an improved reliability of normalization in gene profiling studies of prostate cancer.

Peptide-linked molecular beacons for efficient delivery and rapid mRNA detection in living cells

Real-time visualization of specific endogenous mRNA expression in vivo has the potential to revolutionize medical diagnosis, drug discovery, developmental and molecular biology. However, conventional liposome- or dendrimer-based cellular delivery of molecular probes is inefficient, slow, and often detrimental to the probes. Here we demonstrate the rapid and sensitive detection of RNA in living cells using peptide-linked molecular beacons that possess self-delivery, targeting and reporting functions. We conjugated the TAT peptide to molecular beacons using three different linkages and demonstrated that, at relatively low concentrations, these molecular beacon constructs were internalized into living cells within 30 min with nearly 100% efficiency. Further, peptide-based delivery did not interfere with either specific targeting by or hybridization-induced fluorescence of the probes. We could therefore detect human GAPDH and survivin mRNAs in living cells fluorescently, revealing intriguing intracellular localization patterns of mRNA. We clearly demonstrated that cellular delivery of molecular beacons using the peptide-based approach has far better performance compared with conventional transfection methods. The peptide-linked molecular beacons approach promises to open new and exciting opportunities in sensitive gene detection and quantification in vivo.

Position-specific expression of Hox genes along the gastrointestinal tract

Hox genes play a critical role in morphogenesis of the early embryo along the anteroposterior axis. In mammals, 39 Hox genes with extensive homology are organized into 13 paralogous groups, forming four clusters on four separate chromosomes. The genes within each cluster are arranged in a 3' to 5' direction and expressed in a temporally and spatially coordinated manner along the anteroposterior axis in the vertebrae, limbs and viscera, including the gastrointestinal tract, but little is known about their spatial expression in the adult gastrointestinal tract. We used the quantitative polymerase chain reaction (PCR) intercalater method with SYBR Green to quantify human Hox gene expression in the adult gastrointestinal tract tissue: esophagus, stomach, duodenum, jejunum, ileum, ileocecum, cecum, ascending colon, transverse colon, descending colon and rectum. Hox gene expression was normalized to glyceraldehyde-3-phosphate-dehydrogenase (GAPDH) gene expression. The spatial expression pattern was analyzed by the multivariate method. The expression level of all 39 Hox genes could be measured in a reproducible manner. Genes with higher expression in the foregut-derived segments tended to have lower expression in hindgut-derived segments, whereas those with low expression in the former tended to have higher in the latter. Principal components analysis and permax analysis revealed a position-specific expression pattern of Hox genes along the anteroposterior axis of the adult gastrointestinal tract. The pattern recapitulates the expression pattern in the embryonic gastrointestinal tract. We suggest that Hox genes may play a pivotal role in the position-specific regenerative process of intestinal epithelial cells.

Quantification of cyclin A1 and glyceraldehyde-3-phosphate dehydrogenase expression in testicular biopsies of infertile patients by fluorescence real-time RT-PCR

The objective of this study was to establish a classification of meiotic disorders by detection of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and cyclin A1 mRNA in patients presenting with non-obstructive azoospermia. GAPDH and cyclin A1 expression levels were detected in 37 histologically classified testicular tissue specimens by one-line RT-PCR. Levels of cyclin A1 expression (NCyclinA1) were high in tissue specimens with full spermatogenesis [3.519 +/- 3.141 (mean +/- SD)] but only minimal in those without haploid germ cells. A lack of cyclin A1 expression was seen in most sertoli-cell-only syndrome (SCOS) specimens. The criteria for an ideal internal standard were only partially met by GAPDH, as we detected decreased expression in tissue samples with maturation arrest [(268.2 +/- 106.2 relative gene expression (mean +/- SD)] and SCOS (201.7 +/- 95.2) compared to those with normal histological findings (325.1 +/- 129.3). It was concluded that the level of cyclin A1 mRNA expression predicts meiotic disorders during spermatogenesis. GAPDH is not an ideal internal standard for specific gene expression in testicular tissue specimens.

Relative expression software tool (REST) for group-wise comparison and statistical analysis of relative expression results in real-time PCR

Real-time reverse transcription followed by polymerase chain reaction (RT-PCR) is the most suitable method for the detection and quantification of mRNA. It offers high sensitivity, good reproducibility and a wide quantification range. Today, relative expression is increasingly used, where the expression of a target gene is standardised by a non-regulated reference gene. Several mathematical algorithms have been developed to compute an expression ratio, based on real-time PCR efficiency and the crossing point deviation of an unknown sample versus a control. But all published equations and available models for the calculation of relative expression ratio allow only for the determination of a single transcription difference between one control and one sample. Therefore a new software tool was established, named REST (relative expression software tool), which compares two groups, with up to 16 data points in a sample and 16 in a control group, for reference and up to four target genes. The mathematical model used is based on the PCR efficiencies and the mean crossing point deviation between the sample and control group. Subsequently, the expression ratio results of the four investigated transcripts are tested for significance by a randomisation test. Herein, development and application of REST is explained and the usefulness of relative expression in real-time PCR using REST is discussed. The latest software version of REST and examples for the correct use can be downloaded at http://www.wzw.tum.de/gene-quantification/.

Quantification of telomerase activity, porphobilinogen deaminase and human telomerase reverse transcriptase mRNA in testicular tissue - new parameters for a molecular diagnostic classification of spermatogenesis disorders

The aim of the study was to evaluate the quantitative detection of human telomerase reverse transcriptase (hTERT) mRNA and telomerase activity as new molecular diagnostic parameters for a subclassification of spermatogenesis disorders. Telomerase activity was detected by a quantitative telomerase PCR ELISA, and hTERT mRNA expression was quantified by fluorescence real-time RT-PCR in a LightCycler in cryopreserved testicular tissue specimens. This was paralleled by a histological workup. The discriminant analysis showed that detection of normalized hTERT expression was able to correctly classify 89.0% of the investigated tissue specimens into the subgroups of full spermatogenesis, maturation arrest or Sertoli-cell-only syndrome. In contrast, discriminant analysis revealed an only 58% accuracy of telomerase activity for the investigated tissue specimens. This study shows that the quantification of hTERT expression in testicular tissue by real-time fluorescence RT-PCR is well suited for correctly classifying spermatogenesis disorders and proved to be markedly superior to the determination of telomerase activity.