Analytical sensitivity and efficiency comparisons of SARS-CoV-2 RT-qPCR primer-probe sets.

The recent spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exemplifies the critical need for accurate and rapid diagnostic assays to prompt clinical and public health interventions. Currently, several quantitative reverse transcription-PCR (RT-qPCR) assays are being used by clinical, research and public health laboratories. However, it is currently unclear whether results from different tests are comparable. Our goal was to make independent evaluations of primer-probe sets used in four common SARS-CoV-2 diagnostic assays. From our comparisons of RT-qPCR analytical efficiency and sensitivity, we show that all primer-probe sets can be used to detect SARS-CoV-2 at 500 viral RNA copies per reaction. The exception for this is the RdRp-SARSr (Charité) confirmatory primer-probe set which has low sensitivity, probably due to a mismatch to circulating SARS-CoV-2 in the reverse primer. We did not find evidence for background amplification with pre-COVID-19 samples or recent SARS-CoV-2 evolution decreasing sensitivity. Our recommendation for SARS-CoV-2 diagnostic testing is to select an assay with high sensitivity and that is regionally used, to ease comparability between outcomes.

Molecular probing of TNF: From identification of therapeutic target to guidance of therapy in inflammatory diseases.

Therapy by blocking tumor necrosis factor (TNF) activity is highly efficacious and profoundly changed the paradigm of several inflammatory diseases. However, a significant proportion of patients with inflammatory diseases do not respond to TNF inhibitors (TNFi). Prediction of therapeutic response is required for TNFi therapy. Isotope labeled anti-TNF antibodies or TNF receptor have been investigated to localize TNF production at inflammatory tissue in animal models and in patients with inflammatory diseases. The in vivo detection of TNF has been associated with treatment response. Recently, fluorophore labeled anti-TNF antibody in combination with confocal laser endomicroscopy in patients with Crohn's disease yielded more accurate and quantitative in vivo detection of TNF in the diseased mucosa. More importantly, this method demonstrated high therapeutic predication value. Fluorophore labeled TNF binding aptamers in combination with modern imaging technology offers additional tools for in vivo TNF probing.

Informative or noninformative calls for gene expression: a latent variable approach.

The strength and weakness of microarray technology can be attributed to the enormous amount of information it is generating. To fully enhance the benefit of microarray technology for testing differentially expressed genes and classification, there is a need to minimize the amount of irrelevant genes present in microarray data. A major interest is to use probe-level data to call genes informative or noninformative based on the trade-off between the array-to-array variability and the measurement error. Existing works in this direction include filtering likely uninformative sets of hybridization (FLUSH; Calza et al., 2007) and I/NI calls for the exclusion of noninformative genes using FARMS (I/NI calls; Talloen et al., 2007; Hochreiter et al., 2006). In this paper, we propose a linear mixed model as a more flexible method that performs equally good as I/NI calls and outperforms FLUSH. We also introduce other criteria for gene filtering, such as, R2 and intra-cluster correlation. Additionally, we include some objective criteria based on likelihood ratio testing, the Akaike information criteria (AIC; Akaike, 1973) and the Bayesian information criterion (BIC; Schwarz, 1978 ). Based on the HGU-133A Spiked-in data set, it is shown that the linear mixed model approach outperforms FLUSH, a method that filters genes based on a quantile regression. The linear model is equivalent to a factor analysis model when either the factor loadings are set to a constant with the variance of the latent factor equal to one, or if the factor loadings are set to one together with unconstrained variance of the latent factor. Filtering based on conditional variance calls a probe set informative when the intensity of one or more probes is consistent across the arrays, while filtering using R2 or intra-cluster correlation calls a probe set informative only when average intensity of a probe set is consistent across the arrays. Filtering based on likelihood ratio test AIC and BIC are less stringent compared to the other criteria.

Probe-specific mixed-model approach to detect copy number differences using multiplex ligation-dependent probe amplification (MLPA).

BACKGROUND: MLPA method is a potentially useful semi-quantitative method to detect copy number alterations in targeted regions. In this paper, we propose a method for the normalization procedure based on a non-linear mixed-model, as well as a new approach for determining the statistical significance of altered probes based on linear mixed-model. This method establishes a threshold by using different tolerance intervals that accommodates the specific random error variability observed in each test sample. RESULTS: Through simulation studies we have shown that our proposed method outperforms two existing methods that are based on simple threshold rules or iterative regression. We have illustrated the method using a controlled MLPA assay in which targeted regions are variable in copy number in individuals suffering from different disorders such as Prader-Willi, DiGeorge or Autism showing the best performace. CONCLUSION: Using the proposed mixed-model, we are able to determine thresholds to decide whether a region is altered. These threholds are specific for each individual, incorporating experimental variability, resulting in improved sensitivity and specificity as the examples with real data have revealed.

A statistical framework for consolidating "sibling" probe sets for Affymetrix GeneChip data.

BACKGROUND: Affymetrix GeneChip typically contains multiple probe sets per gene, defined as sibling probe sets in this study. These probe sets may or may not behave similar across treatments. The most appropriate way of consolidating sibling probe sets suitable for analysis is an open problem. We propose the Analysis of Variance (ANOVA) framework to decide which sibling probe sets can be consolidated. RESULTS: The ANOVA model allows us to separate the sibling probe sets into two types: those behave similarly across treatments and those behave differently across treatments. We found that consolidation of sibling probe sets of the former type results in large increase in the number of differentially expressed genes under various statistical criteria. The approach to selecting sibling probe sets suitable for consolidating is implemented in R language and freely available from http://research.stowers-institute.org/hul/affy/. CONCLUSION: Our ANOVA analysis of sibling probe sets provides a statistical framework for selecting sibling probe sets for consolidation. Consolidating sibling probe sets by pooling data from each greatly improves the estimates of a gene expression level and results in identification of more biologically relevant genes. Sibling probe sets that do not qualify for consolidation may represent annotation errors or other artifacts, or may correspond to differentially processed transcripts of the same gene that require further analysis.

The use of EGFR exon 19 and 21 unlabeled DNA probes to screen for activating mutations in non-small cell lung cancer.

Activating mutations in epidermal growth factor receptor-1 (EGFR) are found in 10-15% of Caucasian patients with non-small cell lung carcinoma (NSCLC). Approximately 90% of the mutations are deletions of several amino acids in exon 19 or point mutations in exon 21. Some studies suggest that these mutations identify patients that might benefit from targeted EGFR inhibitor therapy. DNA melting analysis of polymerase chain reaction products can screen for these mutations to identify this patient population. However, amplicon DNA melting analysis, although easily capable of detecting heterozygous mutations by heterodimer formation, becomes more difficult if mutations are homozygous or if the mutant allele is selectively amplified over wild type. Amplification of EGFR is common in NSCLC and this could compromise mutation detection by amplicon melting analysis. To overcome this potential limitation, we developed unlabeled, single-stranded DNA probes, complimentary to EGFR exon 19 and exon 21 where the common activating mutations occur. The unlabeled probes are incorporated into a standard polymerase chain reaction during the amplification of EGFR exons 19 and 21. The probe melting peak is easily distinguished from the amplicon melting peak, and probe melting is altered if mutations are present. This allows for easy identification of activating mutations even in homozygous or amplified states and is useful in the screening of NSCLC for the common EGFR activating mutations.

Detection of Xanthomonas oryzae pv. oryzae in seeds using a specific TaqMan probe.

Xanthomonas oryzae pv. oryzae is the pathogen that causes bacterial leaf blight in rice. Bacterial leaf blight is the main cause for severe rice underproduction in many countries. However, with conventional methods it is difficult to quickly and reliably distinguish this pathogen from other closely related pathogenic bacteria, especially X. oryzae pv. oryzicola, the causal organism of bacterial leaf streak in rice. We have developed a novel and highly sensitive real-time method for the identification of this specific bacteria based on a TaqMan probe. This probe is designed to recognize the sequence of a putative siderophore receptor gene cds specific to X. oryzae pv. oryzae, and can be identified from either a bacterial culture or naturally infected rice seeds and leaves in only 2 h. The sensitivity of the method is 100 times higher than that of the current polymerase chain reaction (PCR) gel electrophoresis method for diagnosis.

A rapid, quantitative assay for direct detection of microRNAs and other small RNAs using splinted ligation.

The discovery and characterization of microRNAs (miRNAs) and other families of short RNAs has led to a rapid expansion of research directed at elucidating their expression patterns and regulatory functions. Here, we describe a convenient, sensitive, and straightforward method to detect and quantitate specific miRNA levels in unfractionated total RNA samples. The method, based on splinted ligation, does not require specialized equipment or any amplification step, and is significantly faster and more sensitive than Northern blotting. We demonstrate that the method can be used to detect various classes of small regulatory RNAs from different organisms.

Simultaneous detection and identification of Candida, Aspergillus, and Cryptococcus species by reverse line blot hybridization.

We report on a reverse line blot (RLB) assay, utilizing fungal species-specific oligonucleotide probes to hybridize with internal transcribed spacer 2 region sequences amplified using a nested panfungal PCR. Reference and clinical strains of 16 Candida species (116 strains), Cryptococcus neoformans (five strains of Cryptococcus neoformans var. neoformans, five strains of Cryptococcus neoformans var. grubii, and six strains of Cryptococcus gatti), and five Aspergillus species (68 strains) were all correctly identified by the RLB assay. Additional fungal species (16 species and 26 strains) not represented on the assay did not exhibit cross-hybridization with the oligonucleotide probes. In simulated clinical specimens, the sensitivity of the assay for Candida spp. and Aspergillus spp. was 10(0.5) cells/ml and 10(2) conidia/ml, respectively. This assay allows sensitive and specific simultaneous detection and identification of a broad range of fungal pathogens.

Multiplex ligation-dependent probe amplification for the detection of chromosomal gains and losses in formalin-fixed tissue.

Molecular analysis on formalin-fixed paraffin-embedded tissue is of increasing importance in diagnostic histopathology and tumor research. Multiplex ligation-dependent probe amplification (MLPA) is a technique that can be used for detection of copy number alterations of up to 45 different DNA sequences in one experiment. It can be performed on partially degraded DNA, which makes this technique very suitable for analysis of formalin-fixed lesions. We tested the reliability of MLPA by analyzing DNA isolated from formalin-fixed melanomas that were previously characterized by comparative genomic hybridization (CGH), and additionally the applicability of MLPA was tested by analyzing 29 routinely processed melanocytic lesions. MLPA appears to be a reliable and efficient method to evaluate DNA copy number changes as 86% of the loci tested revealed concordant CGH results. Discordance mainly involved alterations that were detected by MLPA and not by CGH probably due to a combination of lower resolution of CGH and occasionally false positive MLPA results. For application of MLPA in a diagnostic setting, different probes on a specific region of interest should be used to prevent false positive MLPA results. In a research setting as well as in a diagnostic setting, MLPA is a fast technique to screen large numbers of formalin-fixed lesions for DNA gains and losses.

Highly multiplexed molecular inversion probe genotyping: over 10,000 targeted SNPs genotyped in a single tube assay.

Large-scale genetic studies are highly dependent on efficient and scalable multiplex SNP assays. In this study, we report the development of Molecular Inversion Probe technology with four-color, single array detection, applied to large-scale genotyping of up to 12,000 SNPs per reaction. While generating 38,429 SNP assays using this technology in a population of 30 trios from the Centre d'Etude Polymorphisme Humain family panel as part of the International HapMap project, we established SNP conversion rates of approximately 90% with concordance rates >99.6% and completeness levels >98% for assays multiplexed up to 12,000plex levels. Furthermore, these individual metrics can be "traded off" and, by sacrificing a small fraction of the conversion rate, the accuracy can be increased to very high levels. No loss of performance is seen when scaling from 6,000plex to 12,000plex assays, strongly validating the ability of the technology to suppress cross-reactivity at high multiplex levels. The results of this study demonstrate the suitability of this technology for comprehensive association studies that use targeted SNPs in indirect linkage disequilibrium studies or that directly screen for causative mutations.

The application of alkaline phosphatase labeled HBV probe in serum detection.

A method using non-radioactive material alkaline phosphatase to label HBV DNA as probe has been studied and used in clinical experiments to detect the HBV DNA in hepatitis serum. Alkaline phosphatase coupled with polyethyleneimine (PEI) using P-benzoquine as cross-linking reagent. The modified phosphatase was covalently linked to single strand DNA using glutraldehyde. Such single strand DNA enzyme complexes have been tested for blot hybridization, after hybridization and incubation with a substrate solution, sequences complementary to the probe can be visualized directly in 1 h. The minimum amount about 10 pg of target DNA has been detected in this way, 32P labeled probes are autoradiography 1 h after hybridization can only detect 10 ng, so the enzyme labeled probe is more sensitive than isotope labeled probe in 1 h fast test. Comparing the enzyme-labeled HBV DNA probe with 32P labeled the same one, positive proportion of detecting the HBV DNA in hepatitis patients was about 95.7%. Because the positive patient's serum detected by 32P labeled probe were selected through 1- week radiation, Alkaline Phosphatase labeled probes are color developed for only 1 h. Our experiment certified that it is a sensitive, specific, easy, rapid, safe and economical probe labeling and clinical virus DNA detection method.

An evaluation of the BD ProbeTec ET system for the direct detection of Mycobacterium tuberculosis in respiratory samples.

In controlling the spread of tuberculosis, early detection of disease caused by organisms of the Mycobacterium tuberculosis complex (MTBC) is vital. The BD ProbeTec ET system provides a method for the direct detection of MTBC by strand displacement amplification. Two hundred and five respiratory samples from patients with a high probability of tuberculosis were assessed by ProbeTec and by microscopy and culture for mycobacteria. ProbeTec positive results were obtained with 101 of 109 samples from which MTBC organisms were isolated. ProbeTec correctly signalled 78 of 81 samples that gave growths of mycobacteria other than tubercle bacilli (MOTT) as negative. Three samples gave false-positive results, corrected on repeat testing. Positive and negative predictive values (PPV, NPV) were 0.97 and 0.90 and the system showed a sensitivity and specificity of 92.7% and 96.0%, respectively. These values rose to PPV 0.97, NPV 0.96, sensitivity 97.1% and specificity 96.0% when data from the small number of gastric lavage samples tested were removed from the analysis. The BD ProbeTec ET system offers a robust and reliable molecular biological approach to the detection of MTBC organisms in respiratory samples in a semi-automated format.

DNA copy number analysis by MAPH: molecular diagnostic applications.

DNA copy number variation is an important cause of genetic disease. There are several techniques available to detect copy number changes of various sizes, each with their limitations in resolution and cost. Here we outline the development of multiplex amplifiable probe hybridization (MAPH) into a high-throughput diagnostic technique for detecting copy number variation of almost any size. Its application in testing for genetic mutations causing diseases, such as familial breast cancer, Charcot-Marie-Tooth disease Type 1A, Duchenne/Becker muscular dystrophy and familial colorectal cancer is described, as well as its use in identifying chromosomal changes in some individuals with mental retardation. The analysis of the data produced by MAPH is also considered, along with its potential for automation and development of microarray-based MAPH.

Probe selection algorithms with applications in the analysis of microbial communities.

We propose two efficient heuristics for minimizing the number of oligonucleotide probes needed for analyzing populations of ribosomal RNA gene (rDNA) clones by hybridization experiments on DNA microarrays. Such analyses have applications in the study of microbial communities. Unlike in the classical SBH (sequencing by hybridization) procedure, where multiple probes are on a DNA chip, in our applications we perform a series of experiments, each one consisting of applying a single probe to a DNA microarray containing a large sample of rDNA sequences from the studied population. The overall cost of the analysis is thus roughly proportional to the number of experiments, underscoring the need for minimizing the number of probes. Our algorithms are based on two well-known optimization techniques, i.e. simulated annealing and Lagrangian relaxation, and our preliminary tests demonstrate that both algorithms are able to find satisfactory probe sets for real rDNA data.

Development of internal controls for probe-based nucleic acid diagnostic assays.

A method is described for the design, evaluation, and application of internal control targets and probes for use in probe-based nucleic acid diagnostic assays (i.e., PCR-ELISA). The technique is a modified version of oligonucleotide-directed mutagenesis in conjunction with PCR amplification to develop a novel probe-annealing sequence in a cloned IS1111a gene fragment of Coxiella burnetii. The internal control probe-recognition site with its complementary probe was identical to the wild-type-specific probe in length, base composition, location, and annealing temperature. Neither the internal control nor the wild-type probes annealed to the recognition sequence of the other. As both of the amplified nucleic acid fragments, internal control and wild type, were identical in length and base composition, the amplification conditions for the diagnostic assay were not affected. This allowed small copy numbers of the internal control clone to be loaded into a diagnostic assay without negatively affecting it. In a single reaction we were able to differentiate between an assay reporting a true or false-negative signal. A negative signal is defined as the absence of detectable pathogen genetic material (true) or inhibition/failure of the reaction (false).

Identification of Mycobacterium kansasii by using a DNA probe (AccuProbe) and molecular techniques.

The newly formulated Mycobacterium kansasii AccuProbe was evaluated, and the results obtained with the new version were compared to the results obtained with the old version of this test by using 116 M. kansasii strains, 1 Mycobacterium gastri strain, and 19 strains of several mycobacterial species. The sensitivity of this new formulation was 97.4% and the specificity was 100%. Still, three M. kansasii strains were missed by this probe. To evaluate the variability within the species, genetic analyses of the hsp65 gene, the spacer sequence between the 16S and 23S rRNA genes, and the 16S rRNA gene of several M. kansasii AccuProbe-positive strains as well as all AccuProbe-negative strains were performed. Genetic analyses of the one M. gastri strain from the comparative assay and of two further M. gastri strains were included because of the identity of the 16S rRNA gene in M. gastri to that in M. kansasii. The data confirmed the genetic heterogeneity of M. kansasii. Furthermore, a subspecies with an unpublished hsp65 restriction pattern and spacer sequence was described. The genetic data indicate that all M. kansasii strains missed by the AccuProbe test belong to one subspecies, the newly described subspecies VI, as determined by the hsp65 restriction pattern and the spacer sequence. Since the M. kansasii strains that are missed are rare and all M. gastri strains are correctly negative, the new formulated AccuProbe provides a useful tool for the identification of M. kansasii.