High-throughput Polymerase Chain Reaction Research Articles

Surveillance of Severe Acute Respiratory Syndrome Coronavirus 2 and Variants Using Digital Droplet Polymerase Chain Reaction at a Large University and Healthcare System in California.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants with different infectivity, transmission potential, and morbidity change the characteristics of local epidemics and affect vaccine effectiveness. As part of the University of Southern California COVID-19 Pandemic Research Center's efforts to understand, control, and inform local community on coronavirus disease 2019 (COVID-19), we implemented a SARS-CoV-2 surveillance program among students, employees, and USC Keck Medical Center patients. We present the epidemiology and distribution of SARS-CoV-2 and its variants among the population. We used digital droplet reverse-transcriptase polymerase chain reaction (PCR) to analyze in real-time remnant SARS-CoV-2 PCR-positive saliva specimens stored at the USC Keck Medicine laboratory between September 2020 and April 2022. Samples were tested for the original strain (A20) and 9 SARS-CoV-2 variants: α(B.1.1.7, Q.1-Q.8), β(B.1.351, B.1.351.2, B.1.351.3), γ(P.1, P.1.1, P.1.2), δ(B.1.617.2), δ+(or δ417N), ε(B.1.427 and B.1.429), η(B.1.525), λ(C.37) and ο(B.1.1.529, ΒΑ.1, BA.2). We reviewed deidentified health information from positive cases including demographics, history of COVID-19 (eg, symptoms, hospitalizations, and repeat infections), and COVID-19 vaccination status. We reviewed 1169 cases and determined the variant type of 482 specimens: 77 specimens were original strain, 119 "Delta", 165 "Omicron". The original strain was detected during the third and fourth quarters of 2020. The Delta variant appeared during the second quarter of 2021, whereas Omicron appeared in the fourth quarter of 2021. Prospectively tracking SARS-CoV-2 variants in a university population and a hospital system, utilizing a low-cost, high-throughput PCR assay, was feasible. Local variant monitoring remains important to inform prevention and control efforts among university and clinical settings.

A comparative analysis of RNA isolation methods optimized for high-throughput detection of viral pathogens in California’s regulatory and disease management program for citrus propagative materials

Citrus germplasm programs can benefit from high-throughput polymerase chain reaction (PCR)-based methods for the detection of graft-transmissible pathogens in propagative materials. These methods increase diagnostic capacity, and thus contribute to the prevention of disease spread from nurseries to citrus orchards. High quality nucleic acids, as determined by purity, concentration, and integrity, are a prerequisite for reliable PCR detection of citrus pathogens. Citrus tissues contain high levels of polyphenols and polysaccharides, which can affect nucleic acid quality and inhibit PCR reactions. Various commercially available RNA isolation methods are used for citrus and include: phenol-chloroform (TRIzol®, Thermo Fisher Scientific); silica columns (RNeasy® Plant Mini Kit, Qiagen); and magnetic beads-based methods (MagMAX™-96 Viral RNA Isolation Kit, Thermo Fisher Scientific). To determine the quality of RNA and its impact on the detection of graft-transmissible citrus pathogens in reverse transcription (RT) PCR-based assays, we compared these three RNA isolation methods. We assessed RNA purity, concentration, and integrity from citrus inoculated with different viruses and viroids. All three RNA isolation methods produced high quality RNA, and its use in different RT-PCR assays resulted in the detection of all targeted citrus viruses and viroids with no false positive or negative results. TRIzol® yielded RNA with the highest concentration and integrity values but some samples required serial dilutions to remove PCR inhibitors and detect the targeted pathogens. The RNeasy® kit produced the second highest concentration and purity of RNA, and similar integrity to TRIzol®. MagMAX™ isolation also provided high quality RNA but most importantly produced RNA with consistent results clustered around a median value for concentration, purity, and integrity. Subsequently, MagMAX™-96 was combined with the semi-automated MagMAX™ Express-96 Deep Well Magnetic Particle Processor, for high-throughput sample processing. MagMAX™-96 enabled the diagnostic laboratory of the Citrus Clonal Protection Program-National Clean Plant Network at the University of California, Riverside to process over 16,500 samples from citrus budwood source trees between 2010 and 2019. This high-throughput approach dramatically reduced the incidence of viroids in citrus nurseries and was key to the successful implementation of the mandatory Citrus Nursery Stock Pest Cleanliness Program in California.

Triplet-Primed PCR Assays for Accurate Screening of FMR1 CGG Repeat Expansion and Genotype Verification.

Fragile X syndrome and other fragile X-associated disorders are caused by the full-mutation (>200 copies) and premutation (55 to 200 copies) expansion, respectively, of the CGG short tandem repeat in the fragile X messenger ribonucleoprotein 1 (FMR1) gene. Clinical diagnostic laboratories use Southern blot analysis and polymerase chain reaction (PCR)-based tests to detect and/or size the FMR1 CGG repeats. The development of sensitive and high-throughput triplet-primed PCR (TP-PCR) assays has diminished the need to subject all samples to Southern blot analysis, which is both labor- and time-intensive. In this article, we describe two direct TP-PCR (dTP-PCR) assays for the detection of FMR1 CGG repeat expansions. We outline a protocol that is based on melting curve analysis of dTP-PCR amplicons for a rapid and cost-effective first-tier screening and identification of individuals with premutation and full-mutation expansions. We also describe a protocol that employs capillary electrophoresis to resolve the dTP-PCR amplicon fragments and to estimate the repeat sizes of normal (5 to 44 copies), intermediate (45 to 54 copies), and premutation alleles, as well as to detect full mutations and determine the structure of the FMR1 alleles. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Direct triplet-primed PCR master mix preparation and amplification of the FMR1 CGG repeat locus for melting curve analysis Basic Protocol 2: Melting curve analysis of direct triplet-primed PCR amplicons on the Rotor-Gene Q MD × 5plex high-resolution melt platform Alternate Protocol: Melting curve analysis of direct triplet-primed PCR amplicons on the LightCycler 480 system Basic Protocol 3: Generation of direct triplet-primed PCR melting curve analysis profiles Basic Protocol 4: Direct triplet-primed PCR master mix preparation and amplification of the FMR1 CGG repeat locus for capillary electrophoresis Basic Protocol 5: Generation of control FMR1 plasmids for direct triplet-primed PCR melting curve analysis Basic Protocol 6: Sanger sequencing assay to verify FMR1 CGG repeat size and structure of plasmid DNA controls.

Laboratory Surge Response to the COVID-19 Pandemic: An Incident Command System Approach.

The COVID-19 pandemic has reaffirmed the critical significance of effective diagnostics in outbreak response. In Taiwan, the COVID-19 wave in May 2021 led to a rapidly growing demand for SARS-CoV-2 diagnostic tests. To meet the challenge, an extensive system-wide emergency preparedness plan, hospital emergency incident command system (HEICS), was developed to deal with emergencies involving healthcare systems. During the wave of the COVID-19 outbreak, a 19.4-fold increase in SARS-CoV-2 PCR (polymerase chain reaction) diagnostic tests occurred in the hospital. The incident commander of TCVGH reviewed COVID-19 related events daily and purchased a high-throughput PCR machine for SARS-CoV-2 PCR diagnostic tests. In addition, the Department of Operations was responsible for staff scheduling and educational training. The turn-around times of SARS-CoV-2 diagnostic tests were shortened from 21.2 hours to 5.8 hours in the second week of the COVID-19 wave. Implementation of HEICS integrated resources could be helpful for expanding surge capacity during future outbreaks.

Nucleic Acid Point-of-Care Testing to Improve Diagnostic Preparedness.

Testing programs for severe acute respiratory syndrome coronavirus 2 have relied on high-throughput polymerase chain reaction laboratory tests and rapid antigen assays to meet diagnostic needs. Both technologies are essential; however, issues of cost, accessibility, manufacturing delays, and performance have limited their use in low-resource settings and contributed to the global inequity in coronavirus disease 2019 testing. Emerging low-cost, multidisease point-of-care nucleic acid tests may address these limitations and strengthen pandemic preparedness, especially within primary healthcare where most cases of disease first present. Widespread deployment of these novel technologies will also help close long-standing test access gaps for other diseases, including tuberculosis, human immunodeficiency virus, cervical cancer, viral hepatitis, and sexually transmitted infections. We propose a more optimized testing framework based on greater use of point-of-care nucleic acid tests together with rapid immunologic assays and high-throughput laboratory molecular tests to improve the diagnosis of priority endemic and epidemic diseases, as well as strengthen the overall delivery of primary healthcare services.

High-throughput nanofluidic real-time PCR to discriminate Pneumococcal Conjugate Vaccine (PCV)-associated serogroups 6, 18, and 22 to serotypes using modified oligonucleotides

Current real-time high-throughput Polymerase Chain Reaction (qPCR) methods do not distinguish serotypes 6A from 6B, 18C from 18A/B and 22F from 22A. We established a nanofluidic real-time PCR (Fluidigm) for serotyping that included Dual-Priming-Oligonucleotides (DPO), a Locked-Nucleic-Acid (LNA) probe and TaqMan assay-sets for high-throughput serotyping. The designed assay-sets target capsular gene wciP in serogroup 6, wciX and wxcM in serogroup 18, and wcwA in serogroup 22. An algorithm combining results from published assay-sets (6A/B/C/D; 6C/D; 18A/B/C; 22A/F) and designed assay-sets for 6A/C; 18B/C/F; 18C/F, 18F and 22F was validated through blind analysis of 1973 archived clinical samples collected from South African children ≤ 5-years-old (2009–2011), previously serotyped with the culture-based Quellung method. All assay-sets were efficient (92–101%), had low variation between replicates (R2 > 0.98), and were able to detect targets at a limit of detection (LOD) of < 100 Colony-Forming-Units (CFU)/mL of sample. There was high concordance (Kappa = 0.73–0.92); sensitivity (85–100%) and specificity (96–100%) for Fluidigm compared with Quellung for serotyping 6A; 6B; 6C; 18C and 22F. Fluidigm distinguishes vaccine-serotypes 6A, 6B, 18C, next-generation PCV-serotype 22F and non-vaccine-serotypes 6C, 6D, 18A, 18B, 18F and 22A. Discriminating single serotypes is important for assessing serotype replacement and the impact of PCVs on vaccine- and non-vaccine serotypes.

Design and fabrication of a two-phase diamond nanoparticle aided fast PCR device

Polymerase Chain Reaction (PCR) is an important and prevalent technique in biotechnology because of its crucial role in cloning DNA fragments and diagnostic applications. In the present study, a high-throughput two-phase PCR device is designed and fabricated which utilizes a serpentine microchannel together with a spiral structure. The former is for the droplet-generation and mixing and the latter is for the thermal cycling process. Moreover, the effect of diamond nanoparticles (diamondNP) on the performance of PCR is also investigated while using commercial PCR devices and the fabricated PCR device designed in this study. Using numerical simulation, it is shown that within the simple and easy-to-make microchannel structures designed in this study, there are different transient secondary flows which can help mixing the contents of the droplets including PCR solution and diamondNP. Moreover, a new fabrication process is used for the design of the droplet-generation chip which is applicable for the fabrication of all high-pressure microfluidic devices. It is found that the effect of diamondNPs on the PCR performance depends on the nanoparticle concentration; diamaondNPs can improve the PCR performance more than 5 times. On the other hand, if a high concentration of diamondNPs is used, PCR performance decreases significantly. Moreover, it is shown that the fabricated device is able to do the same PCR procedure faster than the commercial PCR devices.

Effects of Virulence Factors On Streptococcus Pneumoniae in Vitro Growth

Introduction: Streptococcus pneumoniae remains as a major causative agent for morbidity and mortality cases in the world. The pathogenicity of this bacterium is attributed to many virulence factors. These factors, though not all had been extensively investigated at the molecular level in various mutant studies. However, of these studies, none of them were using local Malaysian isolate. Materials and Methods: Therefore, to better understand the growth pattern of local mutants a growth curve study and optochin disk susceptibility test were conducted. Several virulence genes (i.e hyl, ugl, ccpA, nanA, and ply) were targeted for this local mutant construction. Pneumococcal mutants were constructed by employing genome-wide deletion technique using high throughput polymerase chain reaction (PCR). Linear knockout construct was established by fusing the kanamycin resistance protein encoding gene, aphA-3 with 1 Kb homologous sequence up and down stream of the respective targeted genes. The gene was knocked out by allelic replacement mechanism. Results: Glycosaminoglycan (GAG) gene cluster mutants (∆hyl- and ∆ugl-) took two days compared to 3 others to grow on brain heart infusion (BHI)-kanamycin agar plate following transformation. This indicated a variance in the mutant growth pattern. Therefore, a growth curve study was conducted to validate the previous observation. We report different time span of log phase in growth curve pattern of mutants relative to the wild type strain. Meanwhile, comparison of zone of inhibition using optochin disk showed non-identical inhibition diameter (≥ 14mm) corresponding to the wild type (14.3mm). Conclusion: The difference in growth pattern was attributed to nutritional role of certain gene.

A 5-microRNA signature identified from serum microRNA profiling predicts survival in patients with advanced stage non-small cell lung cancer.

Circulating microRNAs (miRNAs) are potential biomarkers for cancer diagnosis, screening and prognosis. This study aimed to identify serum miRNAs as predictors of survival in patients with advanced non-small cell lung cancer (NSCLC). We profiled serum miRNAs in a pilot set of four patients with good survival (>24 months) and four patients with poor survival (<6 months). We selected 140 stably detectable miRNAs and 42 miRNAs reported in literature for further analysis. Expression of these 182 miRNAs was measured using high-throughput polymerase chain reaction assay, and their association with 3-year survival in the discovery (n = 345) and validation (n = 177) cohorts was assessed. Five serum miRNAs (miR-191, miR-28-3p, miR-145, miR-328 and miR-18a) were significantly associated with 3-year overall survival in both cohorts. A combined 5-miRNA risk score was created to assess the cumulative impact of these miRNAs on risk of death. Quartile analysis of the risk score showed significant association with 3-year death risk, with a 4.6-, 6.8- and 9.3-month reduction in median survival time for the second, third and fourth quartiles, respectively. Survival tree analysis also identified distinct risk groups with different 3-year survival durations. Data from The Cancer Genome Atlas revealed all five miRNAs were differentially expressed (P < 0.0001) in paired tumor and normal tissues. Pathway analysis indicated that target genes of these five miRNAs were mainly enriched in inflammatory/immune response pathways and pathways implicated in resistance to chemoradiotherapy and/or targeted therapy. Our results suggested that the 5-miRNA signature could serve as a prognostic predictor in patients with advanced NSCLC.

Heterozygous HTRA1 missense mutation in CADASIL-like family disease.

The aim of this study was to find related pathogenic genes in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy in (CADASIL)-like patients. The direct sequencing and high-throughput multiplex polymerase chain reaction (PCR) was performed to screen for related genes. The clinical and imaging data of a CADASIL-like patient (the pro-band) and his family members were collected. At first, the known hereditary cerebral vascular genes of the pro-band were screened with direct sequencing to find candidate gene mutations. High-throughput multiplex PCR was then used to analyze the single nucleotide polymorphism of the candidate gene in the family members. The results showed that there was missense mutation of the high temperature requirement protease A1 (HTRA1) gene in the pro-band, which may be a pathogenic factor according to the biological software analysis. The following SNP results revealed that the other family members also had the HTRA1 gene mutation. Thus, the CADASIL-like family disease may be caused by heterozygous HTRA1 gene mutation, which leads to autosomal dominant hereditary cerebral small vessel disease.

Stroke and Circulating Extracellular RNAs.

There is increasing interest in extracellular RNAs (ex-RNAs), with numerous reports of associations between selected microRNAs (miRNAs) and a variety of cardiovascular disease phenotypes. Previous studies of ex-RNAs in relation to risk for cardiovascular disease have investigated small numbers of patients and assayed only candidate miRNAs. No human studies have investigated links between novel ex-RNAs and stroke. We conducted unbiased next-generation sequencing using plasma from 40 participants of the FHS (Framingham Heart Study; Offspring Cohort Exam 8) followed by high-throughput polymerase chain reaction of 471 ex-RNAs. The reverse transcription quantitative polymerase chain reaction included 331 of the most abundant miRNAs, 43 small nucleolar RNAs, and 97 piwi-interacting RNAs in 2763 additional FHS participants and explored the relations of ex-RNAs and prevalent (n=63) and incident (n=51) stroke and coronary heart disease (prevalent=286, incident=69). After adjustment for multiple cardiovascular disease risk factors, 7 ex-RNAs were associated with stroke prevalence or incidence; there were no ex-RNA associated with prevalent or incident coronary heart disease. Statistically significant ex-RNA associations with stroke were specific, with no overlap between prevalent and incident events. This is the largest study of ex-RNAs in relation to stroke using an unbiased approach in an observational cohort and the first large study to examine human small noncoding RNAs beyond miRNAs. These results demonstrate that when studied in a large observational cohort, extracellular miRNAs are associated with stroke risk.

Computation of Melting Temperatures (Tm) of oligonucleotides for high throughput PCR using MS-Excel

DNA based molecular markers have enormous potential to improve the efficiency and precision of conventional plant breeding via marker-assisted selection. Most of the molecular markers are individually amplified by oligonucleotide primers using PCR. The efficiency of PCR depends on primer annealing temperature ( Ta) which optimize amplification and minimize non-specific binding of primers to the template. In contrast to the majority of the software programs available to calculate melting temperature (Tm) of primers/oligonucleotides which enables us to get Tm for single sequence/ input at a time. Hence, we developed an MS-Excel based programme to calculate Tm for a large set of primers with one click based on two formulae viz., basic and salt adjusted depending on the size of the primers. A wide range of oligonucleotides with size range between 10 to 30mer covering RAPD, AFLP, ISSR SSR and SNP markers were tested which are widely used for marker-assisted selection. Keywords: PCR, DNA based markers, Marker Assisted Selection (MAS,) Melting Temperature (Tm), Annealing Temperature (Ta), MS-Excel I Introduction One of the major concerns of modern agriculture is the identification and utilization of valuable genes of agronomic importance in crop plants. The development and use of DNA based molecular markers to track loci that are tightly linked to important genes have irrevocably changed the fields of genetics and plant breeding. Molecular markers exhibit a high degree of polymorphism and simple inheritance patterns with minimal influence of environment and epistasis. Therefore, in combination with conventional breeding approaches, DNA based molecular markers can be used to monitor the presence or lack of these genes in breeding populations and monitoring the level of gene expression under biotic and abiotic stress situation through Marker Assisted Selection (MAS). Several techniques have been developed for the past few years for distinguishing the individuals at DNA sequence level. Most of the markers are PCR (Polymerase Chain Reaction) based and are individually amplified by using oligonucleotide primers. If there is no prior sequence information available in the database for a particular species, random markers like Random Amplified polymorphic DNA (RAPD), Amplified Fragment Length Polymorphism (AFLP) and Inter Simple Sequence Repeats (ISSR) can be employed. These are multilocus, mostly dominant genetic markers usually produce multiple DNA fragments (each of which is considered as a locus) allowing the generation of a large number of loci across the genome without prior genome sequence information. On the other hand, if sequence information is available, then species specific markers like microsatellites or Simple Sequence Repeats (SSRs) and Single nucleotide polymorphisms (SNPs) can be used for genotyping. In all the PCR based markers, PCR will be efficient under optimal conditions like template DNA concentration, salt concentrations and primer annealing temperature (Ta). Keeping other parameters in PCR constant , the successful amplification of a particular locus depends on optimum Ta which in turn depends on primer sequence and GC content, complementarities of forward and reverse primers, reaction volume etc. The primers of different markers vary in length and sequence composition (GC content) which in turn leads to the variation in primer annealing temperature (Ta). Primer annealing is a physical process where the primers will jiggle around and hydrogen bonds will be constantly formed and broken between specific bases in the single stranded primers and the single stranded template DNA. More stable bonds last a little bit longer (primers that fit exactly) and on that little double-stranded piece the DNA polymerase can attach and start copying the template and thereby results in doubling target sequence.

The utility of multiple molecular methods including whole genome sequencing as tools to differentiate Escherichia coli O157:H7 outbreaks.

A standardised method for determining Escherichia coli O157:H7 strain relatedness using whole genome sequencing or virulence gene profiling is not yet established. We sought to assess the capacity of either high-throughput polymerase chain reaction (PCR) of 49 virulence genes, core-genome single nt variants (SNVs) or k-mer clustering to discriminate between outbreak-associated and sporadic E. coli O157:H7 isolates. Three outbreaks and multiple sporadic isolates from the province of Alberta, Canada were included in the study. Two of the outbreaks occurred concurrently in 2014 and one occurred in 2012. Pulsed-field gel electrophoresis (PFGE) and multilocus variable-number tandem repeat analysis (MLVA) were employed as comparator typing methods. The virulence gene profiles of isolates from the 2012 and 2014 Alberta outbreak events and contemporary sporadic isolates were mostly identical; therefore the set of virulence genes chosen in this study were not discriminatory enough to distinguish between outbreak clusters. Concordant with PFGE and MLVA results, core genome SNV and k-mer phylogenies clustered isolates from the 2012 and 2014 outbreaks as distinct events. k-mer phylogenies demonstrated increased discriminatory power compared with core SNV phylogenies. Prior to the widespread implementation of whole genome sequencing for routine public health use, issues surrounding cost, technical expertise, software standardisation, and data sharing/comparisons must be addressed.

Fecal microbiome analysis as a diagnostic test for diverticulitis

Disease-specific variations in intestinal microbiome composition have been found for a number of intestinal disorders, but little is known about diverticulitis. The purpose of this study was to compare the fecal microbiota of diverticulitis patients with control subjects from a general gastroenterological practice and to investigate the feasibility of predictive diagnostics based on complex microbiota data. Thirty-one patients with computed tomography (CT)-proven left-sided uncomplicated acute diverticulitis were included and compared with 25 control subjects evaluated for a range of gastrointestinal indications. A high-throughput polymerase chain reaction (PCR)-based profiling technique (IS-pro) was performed on DNA isolates from baseline fecal samples. Differences in bacterial phylum abundance and diversity (Shannon index) of the resulting profiles were assessed by conventional statistics. Dissimilarity in microbiome composition was analyzed with principal coordinate analysis (PCoA) based on cosine distance measures. To develop a prediction model for the diagnosis of diverticulitis, we used cross-validated partial least squares discriminant analysis (PLS-DA). Firmicutes/Bacteroidetes ratios and Proteobacteria load were comparable among patients and controls (p = 0.20). The Shannon index indicated a higher diversity in diverticulitis for Proteobacteria (p < 0.00002) and all phyla combined (p = 0.002). PCoA based on Proteobacteria profiles resulted in visually separate clusters of patients and controls. The diagnostic accuracy of the cross-validated PLS-DA regression model was 84 %. The most discriminative species derived largely from the family Enterobacteriaceae. Diverticulitis patients have a higher diversity of fecal microbiota than controls from a mixed population, with the phylum Proteobacteria defining the difference. The analysis of intestinal microbiota offers a novel way to diagnose diverticulitis.

Multichannel oscillatory-flow PCR micro-fluidic chip with controllable temperature gradient

This study presents a multichannel oscillatory-flow micro-fluidic chip for high-throughput polymerase chain reaction (PCR). The micro-fluidic chip consists of microheaters and temperature sensors integrated on silicon substrates and parallel microchannels fabricated with glass/PDMS laminates. In order to achieve multiplex thermal protocols simultaneously, the micro-fluidic chip combines uniform resistors and gradually changed resistors on the heater chips. By regulating the heating power of the gradually changed resistors, a controllable temperature gradient was obtained on the micro-fluidic chip for same/different annealing temperature. Then the temperature gradient was investigated in the experiment. The results showed that the temperature difference could change from 0 to 20 °C in the range of about 50---70 °C with low power consumption. Finally, the performance of the developed micro-fluidic chip was successfully demonstrated by amplifying a detection gene associated with hepatitis B virus (HBV) at same and different annealing temperature, respectively. The developed micro-fluidic chip may provide a useful platform for high-throughput PCR amplification.

Assessment of a semi-automated protocol for multiplex analysis of sepsis-causing bacteria with spiked whole blood samples.

Sepsis is associated with high morbidity and mortality rates worldwide. Rapid and reliable diagnostic methods are needed for efficient and evidence-based treatment of septic patients. Recently, new molecular tools have emerged to complement the conventional culture-based diagnostic methods. In this study, we used spiked whole blood samples to evaluate together two ready-to-use molecular solutions for the detection of sepsis-causing bacteria. We spiked whole blood with bacterial species relevant in sepsis and extracted bacterial DNA with the NorDiag Arrow device, using the SelectNA Blood pathogen DNA isolation kit. DNA extracts were analyzed by the polymerase chain reaction (PCR)- and microarray-based Prove-it™ Bone and Joint assay, resulting in correctly identified bacterial species with detection limits of 11–600 colony-forming unit/mL (CFU/mL). To understand the recovery losses of bacterial DNA during the sample preparation step and the capability of the PCR- and microarray-based platform to respond to the sensitivity requirements, we also determined the analytical sensitivity of the PCR and microarray platform to be 1–21 genome equivalents for the tested bacterial species. In addition, the inclusivity of the Prove-it™ Bone and Joint assay was demonstrated with methicillin-resistant Staphylococcus aureus (MRSA) clones carrying SCCmec types I, II, IV, or V and a nontypable SCCmec type. The proof-of-concept for accurate multiplex pathogen and antibacterial resistance marker detection from spiked whole blood samples was demonstrated by the selective bacterial DNA extraction method combined with the high-throughput PCR- and microarray-based platform. Further investigations are needed to study the promising potential of the concept for sensitive, semi-automated identification of sepsis-causing pathogens directly from whole blood.

Mutational analysis of therapy-related myelodysplastic syndromes and acute myelogenous leukemia

Therapy-related myelodysplastic syndromes and acute myelogenous leukemia comprise a poor-risk subset of myelodysplastic syndromes and acute myelogenous leukemia. Large-scale mutation profiling efforts in de novo myelodysplastic syndromes have identified mutations that correlate with clinical features, but such mutations have not been investigated in therapy-related myelodysplastic syndromes and acute myelogenous leukemia. Genomic DNA from 38 patient samples were subjected to high throughput polymerase chain reaction and sequenced for TP53, TET2, DNMT3A, ASXL1, IDH1, IDH2, EZH2, EED, SUZ12, RBBP4, SRSF2, U2AF35, and SF3B1. We identified somatic mutations in 16 of 38 (42%) patients. TP53 mutations were the most common lesion, detected in 8 of 38 (21%) patients, followed by TET2 in 4 of 38 (10.5%). Cases with a TP53 mutation or loss of the TP53 locus had a worse overall survival compared to those with wild-type TP53 (8.8 vs. 37.4 months; P=0.0035).

Efficient Sleeping Beauty DNA Transposition From DNA Minicircles

DNA transposon-based vectors have emerged as new potential delivery tools in therapeutic gene transfer. Such vectors are now showing promise in hematopoietic stem cells and primary human T cells, and clinical trials with transposon-engineered cells are on the way. However, the use of plasmid DNA as a carrier of the vector raises safety concerns due to the undesirable administration of bacterial sequences. To optimize vectors based on the Sleeping Beauty (SB) DNA transposon for clinical use, we examine here SB transposition from DNA minicircles (MCs) devoid of the bacterial plasmid backbone. Potent DNA transposition, directed by the hyperactive SB100X transposase, is demonstrated from MC donors, and the stable transfection rate is significantly enhanced by expressing the SB100X transposase from MCs. The stable transfection rate is inversely related to the size of circular donor, suggesting that a MC-based SB transposition system benefits primarily from an increased cellular uptake and/or enhanced expression which can be observed with DNA MCs. DNA transposon and transposase MCs are easily produced, are favorable in size, do not carry irrelevant DNA, and are robust substrates for DNA transposition. In accordance, DNA MCs should become a standard source of DNA transposons not only in therapeutic settings but also in the daily use of the SB system.

Sustained high-throughput polymerase chain reaction diagnostics during the European epidemic of Bluetongue virus serotype 8

A real-time reverse transcription polymerase chain reaction assay (PCR test) based on genome segment 10 of Bluetongue virus (BTV) was developed. The PCR test consists of robotized viral RNA isolation from blood samples and an all-in-one method including initial denaturation of genomic double-stranded RNA, reverse transcription polymerase chain reaction (RT-PCR), and real-time detection and analysis. Reference strains of the 24 recognized BTV serotypes, isolates from different years, and geographic origins were detected. Other orbiviruses such as African horse sickness virus, Epizootic hemorrhagic disease virus, and Equine encephalosis virus were not detected. Experimentally infected animals were PCR positive from 2 days postinoculation, which was earlier than fever, other clinical signs, or seroconversion. The diagnostic sensitivity and specificity were very close to or even 100%. The PCR test played a key role in the detection of BTV serotype 8 in August 2006 in The Netherlands. The outbreak in a completely naive ruminant population allowed for further evaluation of the PCR test with field samples. In 2006, the correlation between enzyme-linked immunosorbent assay and PCR results was estimated to be 95%. In the following years, the PCR test was used for diagnosis of diseased animals, for testing of healthy animals for trade purposes, and for detection of BTV RNA in different species of the insect vector, Culicoides. In the autumn of 2008, BTV serotype 6 unexpectedly emerged in northwest Europe and was also detected with the PCR test developed in the current study. The performance in routine use over 5 years has been recorded and evaluated.

Rodent Evolution: Back to the Root

Some 70 Ma, rodents arose along a branch of our own mammalian lineage. Today, about 40% of all mammalian species are rodents and are found in vast numbers on almost every continent. Not only is their proliferation extensive but also the rates of DNA evolution vary significantly among lineages, which has hindered attempts to reconstruct, especially the root of, their evolutionary history. The presence or absence of rare genomic changes, such as short interspersed elements (SINEs), are, however, independent of high molecular substitution rates and provide a powerful, virtually homoplasy-free source for solving such phylogenetic problems. We screened 12 Gb of rodent genomic information using whole-genome three-way alignments, multiple lineage-specific sequences, high-throughput polymerase chain reaction amplifications, and sequencing to reveal 65 phylogenetically informative SINE insertions dispersed over 23 rodent phylogenetic nodes. Eight SINEs and six indels provide significant support for an early association of the Mouse-related and Ctenohystrica (guinea pig and relatives) clades, the Squirrel-related clade being the sister group. This early speciation scenario was also evident in the genomewide distribution pattern of B1-related retroposons, as mouse and guinea pig genomes share six such retroposon subfamilies, containing hundreds of thousands of elements that are clearly absent in the ground squirrel genome. Interestingly, however, two SINE insertions and one diagnostic indel support an association of Ctenohystrica with the Squirrel-related clade. Lineage sorting or a more complex evolutionary scenario that includes an early divergence of the Squirrel-related ancestor and a subsequent hybridization of the latter and the Ctenohystrica lineage best explains such apparently contradictory insertions.