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A rapid real-time quantitative polymerase chain reaction for hepatitis B virus.

Quantification of hepatitis B virus (HBV) DNA in serum is important for monitoring treatment. A rapid and cost effective alternative to the methods available currently was developed based on a real-time quantitative polymerase chain reaction (PCR) done in the LightCycler apparatus. Primers and a probe for sequences of the surface gene of HBV were designed and quantification achieved by reference to standards containing known concentrations of the target sequence. A single copy of the HBV genome could be detected if present in the reaction mixture. The quantitative range of the assay was from 4 x 10(2) to 1.3 x 10(10) surface gene copies/ml serum. Nested PCR was required for quantification in the lower part of this range (<10(5) copies). The real-time PCR and Amplicor Monitor (Roche) tests performed comparably at virus concentrations below 10(6) copies/ml. The commercial test underestimated higher concentrations of virus.

Computer Systems↗

Identification and quantification of disease-related gene clusters.

MOTIVATION: DNA microarray technology and the completion of human and mouse genome sequencing programs are now offering new avenues for the investigation of complex genetic diseases. In particular, this makes possible the study of the spatial distribution of disease-related genes within the genome. We report on the first systematic search for clustering of genes associated with a polygenic autoimmune disease. RESULTS: Using a set of cDNA microarray chip experiments in two mouse models of rheumatoid arthritis, we have identified approximately 200 genes based on their expression in inflamed joints and mapped them into the genome. We compute the spatial autocorrelation function of the selected genes and find that they tend to cluster over scales of a few megabase pairs. We then identify significant gene clusters using a friends-of-friends algorithm. This approach should aid in discovering functionally related gene clusters in the mammalian genome.

Algorithms↗

Time-course detection of HIV-1 proviral DNA and genomic RNA by polymerase chain reaction in sera from seropositive and seronegative hemophiliacs treated with clotting factor concentrates.

The detection of HIV-1 proviral DNA and genomic RNA was performed by polymerase chain reaction (PCR) in hemophiliacs treated with non-heated clotting factor concentrates. Reamplification with double PCR was performed on those samples that were negative for single PCR. Primer pairs of the gag, env, and pol regions were used for the amplification of HIV-1 proviral DNA sequences. Amplification of the gag region by the SK38/SK39 primer pair was useful for the detection of proviral DNA sequences. With double PCR, 44 of 47 seropositive samples (93.6%) were PCR-positive. All 23 seronegative samples were PCR-negative. Reverse transcription and PCR amplification (RT-PCR) according to the primer pair of the gag region were performed to detect HIV-1 genomic RNA sequences. Double RT-PCR analysis of the HIV-1 RNA sequence in frozen-preserved sera revealed that 49 of 55 seropositive sera (89.1%) were PCR-positive. Although quantification of the PCR method was not performed in this study, we concluded that, in patients in whom proviral DNA or genomic RNA sequences are detected with difficulty with PCR, the onset and progression of HIV-1 infection is delayed.

Blood Coagulation Factors↗

Effects of electron-beam irradiation on whole genome amplification.

Electron-beam (E-beam) irradiation, currently being used to sterilize mail addressed to selected ZIP codes in the United States, has significant negative effects on the genomic integrity of DNA extracted from buccal-cell washes. We investigated the yield, composition, and genotyping performance of whole genome amplified DNA (wgaDNA) derived from 24 matched samples of E-beam-irradiated and nonirradiated genomic DNA (gDNA) as a model for the effects of degraded gDNA on the performance of whole genome amplification. gDNA was amplified using the Multiple Displacement Amplification method. Three methods of DNA quantification analysis were used to estimate the yield and composition of wgaDNA, and 65 short tandem repeat and single nucleotide polymorphism genotyping assays were used to evaluate the genotyping performance of irradiated and nonirradiated gDNA and wgaDNA. Compared with wgaDNA derived from nonirradiated gDNA, wgaDNA derived from irradiated gDNA exhibited a significantly reduced yield of wgaDNA and significantly reduced short tandem repeat and single nucleotide polymorphism genotyping completion and concordance rates (P < 0.0001). Increasing the amount of irradiated gDNA input into whole genome amplification improved genotyping performance of wgaDNA but not to the level of wgaDNA derived from nonirradiated gDNA. Multiple Displacement Amplification wgaDNA derived from E-beam-irradiated gDNA is not suitable for genotyping analysis.

DNA↗

Rapid quantification of DNA methylation by high performance capillary electrophoresis.

The actual methods to evaluate total DNA methylation based on high performance liquid chromatography (HPLC) are long and tedious due to the specific running buffers required. In this work, a new open-tube capillary electrophoresis system has been applied to the separation of acid hydrolyzed genomic DNA and so, to the evaluation of genomic DNA methylation. Several running conditions were tested but separation of cytosine and 5-methyl-cytosine was only possible by sodium dodecyl sulfate (SDS) micelle system. The importance of sample dissolution preparation has also been demonstrated. The results of this study open up the possibility of quantification of the relative methylation degree of rapid genomic DNA by a simple method based on high performance capillary electrophoresis (HPCE).

DNA Methylation↗

Validated method for quantification of genetically modified organisms in samples of maize flour.

Sensitive and accurate testing for trace amounts of biotechnology-derived DNA from plant material is the prerequisite for detection of 1% or 0.5% genetically modified ingredients in food products or raw materials thereof. Compared to ELISA detection of expressed proteins, real-time PCR (RT-PCR) amplification has easier sample preparation and detection limits are lower. Of the different methods of DNA preparation CTAB method with high flexibility in starting material and generation of sufficient DNA with relevant quality was chosen. Previous RT-PCR data generated with the SYBR green detection method showed that the method is highly sensitive to sample matrices and genomic DNA content influencing the interpretation of results. Therefore, this paper describes a real-time DNA quantification based on the TaqMan probe method, indicating high accuracy and sensitivity with detection limits of lower than 18 copies per sample applicable and comparable to highly purified plasmid standards as well as complex matrices of genomic DNA samples. The results were evaluated with ValiData for homology of variance, linearity, accuracy of the standard curve, and standard deviation.

DNA↗

LCR-modules: a collection of workflows for cancer genome analysis.

MOTIVATION: The surge of genomic data from advanced sequencing technologies is outpacing current analytical pipelines. We introduce LCR-modules, an open-source suite of bioinformatics tools designed for flexible and automated cancer genome data analysis. LCR-modules enables reproducible analysis of diverse cancer genomics data at scale. The suite comprises 49 Snakemake-based workflows organized into three levels, facilitating tasks from low-level quality control to complex cohort-level analyses. LCR-modules supports various sequencing types and integrates pipelines such as mutation calling, expression quantification, and cohort-level aggregation, ensuring flexibility and reproducibility. LCR-modules represents a significant advancement in genomic data analysis, reducing barriers in reproducibility and scalability and has already been applied to a combination of exomes and genomes from over 10&#x2009;800 samples. AVAILABILITY: No new data were generated in support of this research. The source code for the LCR-modules is openly available at https://github.com/LCR-BCCRC/lcr-modules.

Software↗

Dual &#x3b2;-lactam therapy against high-risk Pseudomonas aeruginosa isolates: a dynamic in-vitro infection model study integrating population genomics with quantitative systems pharmacology modelling and simulations.

BACKGROUND: Pseudomonas aeruginosa has an extraordinary capacity for resistance emergence during treatment, even with newer antipseudomonals. There is a gap in understanding how resistance mechanisms affect the time-course of bacterial response to these newer agents. Traditional approaches for predicting pathogen response to an antibiotic do not apply to combination therapy. We aimed to develop a modelling framework to predict treatment response based on resistome information, using isolates of the worldwide-disseminated high-risk clone sequence type (ST) 235 and &#x3b2;-lactam antibiotics as the example. METHODS: In this hollow-fibre in-vitro infection study, we used three extensively drug-resistant ST235 clinical isolates from the national collection of the Clinical Microbiology Department of the Hospital Son Espases (Palma de Mallorca, Spain) that were hospital-acquired, were isolated following routine microbiological procedures from different patients between 2017 and 2022, were susceptible to ceftolozane-tazobactam, and had different levels of meropenem resistance. The selected isolates (ST235-05, ST235-09, and ST235-10) showed classical &#x3b2;-lactam resistance mechanisms pre-treatment. The isolates were investigated in 240-h dynamic hollow-fibre in-vitro infection models (HFIMs). The studies exposed the isolates to pharmacokinetic profiles of ceftolozane-tazobactam (simulating 1 g of ceftolozane and 0&#xb7;5 g of tazobactam as a 3-h infusion every 8 h) and meropenem (simulating 6 g per day continuous infusion) as observed in hospitalised patients, as monotherapy and in combination. Treatment response was assessed through the quantification of the time-courses of viable total and resistant bacteria. Whole-genome sequencing identified the mechanisms of emerging resistance. A quantitative systems pharmacology (QSP) approach was used to model total and resistant bacterial counts and corresponding pharmacokinetic data from the HFIM. Monte Carlo simulations were used to predict treatment responses in 1000 virtual infected patients treated with ceftolozane-tazobactam and meropenem as monotherapies or in combination over 10 days. FINDINGS: In the HFIMs, each antibiotic alone amplified resistance by approximately 48 h for all isolates; that is, monotherapies resulted in a higher concentration of resistant bacteria compared with the control treatment at the respective time, except ceftolozane-tazobactam against ST235-10. Combination of ceftolozane-tazobactam and meropenem was synergistic (bacterial counts &#x2265;2 log10 colony forming units [CFU] per mL lower than the best performing monotherapy and initial inoculum) against all isolates and suppressed resistance. Against ST235-10, ceftolozane-tazobactam monotherapy reduced counts to less than 1 log10 CFU per mL from 192 h onwards, whereas the combination reached less than 1 log10 CFU per mL by 24 h. Across strains, population genomics confirmed monotherapy failures were associated with emerging resistance mechanisms (ceftolozane-tazobactam: ampC &#x3a9;-loop mutations; meropenem: ftsl mutation). The developed QSP model incorporated baseline resistance mechanisms and those emerging in resistant mutant subpopulations. The model explained and predicted the monotherapy failures involving amplification of these subpopulations, and synergistic killing and resistance suppression by the combination. Simulations using the model predicted bacterial regrowth above the initial inoculum for more than 90% of patients after 0 to approximately 3 days for meropenem monotherapy across all strains and for ceftolozane-tazobactam monotherapy against ST235-05 and ST235-09. For ceftolozane-tazobactam monotherapy against ST235-10, regrowth was predicted for approximately 30% of patients. In contrast, the simulations predicted sustained bacterial killing of at least 2 log10 CFU per mL compared with the initial inoculum by the combination for more than 89% of patients across all strains. INTERPRETATION: To our knowledge, this model is the first to characterise and predict the time-course of responses of clinical isolates to antibiotics only by the resistance mechanisms present and their complex interplay, representing a step towards pathogen-specific, personalised medicine. FUNDING: Australian National Health and Medical Research Council.

Pseudomonas aeruginosa↗

Tracking of mouse cell lineage using microinjected DNA sequences: analyses using genomic Southern blotting and tissue-section in situ hybridizations.

We examined the feasibility of applying DNA microinjection to label cells for lineage studies of mouse embryos. Tissues from three transgenic mice mosaic due to the insertion of an exogenously introduced mouse beta-major globin gene were analyzed by genomic Southern-blotting and in situ hybridization. These studies allowed the direct quantification and localization of lineage descendants derived from the marked or transformed founder cells. The results of these studies suggested an early segregation of cells in the somatic vs. germ-cell lineages. The in situ hybridization data further demonstrated that cells of the transformed lineages were usually finely dispersed, indicative of extensive cell-cell mixing during mouse development. However, a notable exception to this was the patchy distribution of cells in the kidney (corresponding to individual nephrons), the clustering of transformed cells in individual villi of the small intestine, and the segregation of positive and negative seminiferous tubules in the testis. These data suggest a clonal basis for the organization of development in organs like the kidney, intestine, and testis.

Animals↗

Retroposon mapping in molecular systematics.

Advances in genome sciences are demonstrating the dynamic nature of noncoding DNA regions, which are comprised largely of repetitive elements with no apparent function. Retroposons are one class of mobile genetic elements that amplify and move about the genome via a copy-and-paste mechanism that employs an RNA intermediate. Short and long interspersed elements (SINEs and LINEs, respectively) are types of retroposons of particular interest because of their active role in shaping the architecture of genomes and their diagnostic value as evolutionary markers for studies of phylogeny and population biology. Although the use of SINEs and LINEs for molecular systematic studies is proliferating, a comprehensive laboratory protocol that explicitly outlines how to isolate and characterize retroposons for systematic studies in a detailed, step-by-step fashion has been lacking. The present chapter addresses this gap in the literature by focusing on the strategy for isolating new SINEs from a genomic library, the screening process, the sequencing and characterization of clones into subfamilies, quantification of copy number in host taxa, and the critical diagnosis of phylogenetically informative SINE and LINE insertion patterns. Practical limits to the method are discussed in relation to sampling design, systematic character theory, and the empirical distribution of elements observed in eukaryotic lineages. Major steps in the experimental process are illustrated with case examples from a diversity of taxonomic groups and by published results in the molecular biology and systematics literature.

Animals↗

Efficacy of passive sand filtration in reducing exposure of salmonids to the actinospore of Myxobolus cerebralis.

The aquatic oligochaete Tubifex tubifex parasitized by Myxobolus cerebralis releases triactinomyxon (TAM) actinospores that can infect some species of salmonids and cause salmonid whirling disease. Silica sand was tested as a filtration medium for removal of TAMs from water containing the parasite. Laboratory tests indicated sand filtration removed > 99.99% of TAMs. In 2 different field tests, groups of 1 mo old rainbow trout Oncorhynchus mykiss were exposed for 2 wk to filtered and unfiltered water from a spring-fed pond enzootic for M. cerebralis. In November 2000, the exposure dose was estimated as between 3 and 5 TAMs fish(-1). During a March 2001 exposure, the estimated dose was between 286 and 404 TAMs fish(-1). Fish were held for 6 mo post exposure (p.e.) in laboratory aquaria for observation and evidence of clinical signs of whirling disease. We used 4 diagnostic techniques to assess the prevalence and severity of infection by M. cerebralis among fish exposed to filtered and unfiltered water. These included polymerase chain reaction (PCR) for genomic DNA of the parasite, histological evaluation for tissue damage, tissue digestion for quantification of cranial myxospores of the parasite, and total non-sampling mortality that occurred over 6 mo p.e. All diagnostic tests verified that the prevalence and severity of infection was significantly reduced among fish in treatment groups exposed to filtered water compared to those exposed to unfiltered water in both the low-dose and high-dose exposures.

Animals↗

Rapid and reproducible quantification of hepatitis C virus cDNA by fluorescence correlation spectroscopy.

BACKGROUND/AIMS: Standard methods for hepatitis C virus (HCV) RNA quantification are time-consuming and often hampered by low sensitivity. Therefore, we aimed to test whether fluorescence correlation spectroscopy (FCS) could be used to read out HCV polymerase chain reactions (PCR). METHODS: A single-step reverse transcriptase (RT) PCR system was adjusted to the clinically relevant range of 1 x 10(3) to 5 x 10(6) HCV cDNA copies/ml serum. Unpurified amplification mixtures were analyzed by FCS and controlled by HPLC analysis. RESULTS: The outcome of HCV RNA quantitation was nearly identical no matter whether FCS or HPLC techniques were used. FCS-generated standard curves displayed sufficient linearity to allow reproducible determinations. The intraserial variation of cDNA quantification after PCR amplification was +/-3.2%, the interserial variation +/-4.3%. Repeated quantifications of HCV genotype 1b RNA from the sera of 8 patients revealed titers from 1 x 10(4)-5 x 10(6) genome equivalents/ml. The results correlated significantly (r = 0.755; p = 0.03) with a widely used commercially available assay. CONCLUSION: FCS may become a useful tool for rapid and reproducible HCV RNA quantification in the future.

Base Sequence↗

Radiation-induced genomic rearrangements formed by nonhomologous end-joining of DNA double-strand breaks.

Two major pathways for repairing DNA double-strand breaks (DSBs) have been identified in mammalian cells, nonhomologous end-joining (NHEJ) and homologous recombination (HR). Inactivation of NHEJ is known to lead to an elevated level of spontaneous and radiation-induced chromosomal rearrangements associated with an increased risk of tumorigenesis. This has raised the idea of a caretaker role for NHEJ. It is, however, not known whether NHEJ itself can also cause rearrangements. To investigate, on the DNA level, the influence of a defect in NHEJ on the formation of genomic rearrangements, we applied an assay based on Southern hybridization that allows the identification and quantification of incorrectly rejoined DSB ends produced by ionizing radiation. After 80 Gy of X-irradiation at a high dose rate (23 Gy/min), wild-type cells repaired 50% of the induced DSBs within 24 h by incorrect rejoining. This frequency of DSB misrejoining is considerably reduced in NHEJ-deficient cells. Low-dose-rate experiments, in which the cells were exposed to 80 Gy over a period of 14 days under repair conditions, led to no detectable misrejoining in wild-type cells but revealed a misrejoining frequency of 10% in NHEJ-deficient cells. This shows that in situations of separated breaks, NHEJ deficiency leads to genomic rearrangements, in agreement with chromosomal studies. However, if multiple DSBs coincide, even wild-type cells form genomic rearrangements frequently. These repair events are absent in Ku80-, DNA-PKcs-, and DNA ligase IV-deficient cells but are present in RAD54(-/-) cells. This strongly suggests that NHEJ has, in addition to its caretaker role, also the potential to effect genomic rearrangements. We propose that it serves as an efficient pathway for rejoining correct break ends in situations of separated breaks but generates genomic rearrangements if DSBs are close in time and space.

Animals↗

The role of sperm-mediated gene transfer in genome mutation and evolution.

Contradictory evidence surrounds the claim that sperm cells are able to introduce exogenous DNA into the oocyte at the time of fertilisation. Although strong natural barriers exist against sperm-mediated gene transfer, such barriers are unlikely to be absolutely inviolable. If sperm cells can act as vectors for exogenous DNA, it follows that the genome of sexually reproducing animals may be subject to alteration by exogenous DNA sequences carried by sperm cells. At present there are insufficient data to permit quantification of the rate of sperm-mediated gene transfer. The implications of sperm-mediated gene transfer are significant and include evolutionary effects on the mammalian genome and pathologies in humans from de novo mutations. Despite the absence of firm data, geneticists would be wise to be vigilant to the potential consequences of sperm-mediated gene transfer.

Animals↗

Quantification of homozygosity in consanguineous individuals with autosomal recessive disease.

Individuals born of consanguineous union have segments of their genomes that are homozygous as a result of inheriting identical ancestral genomic segments through both parents. One consequence of this is an increased incidence of recessive disease within these sibships. Theoretical calculations predict that 6% (1/16) of the genome of a child of first cousins will be homozygous and that the average homozygous segment will be 20 cM in size. We assessed whether these predictions held true in populations that have preferred consanguineous marriage for many generations. We found that in individuals with a recessive disease whose parents were first cousins, on average, 11% of their genomes were homozygous (n = 38; range 5%-20%), with each individual bearing 20 homozygous segments exceeding 3 cM (n = 38; range of number of homozygous segments 7-32), and that the size of the homozygous segment associated with recessive disease was 26 cM (n = 100; range 5-70 cM). These data imply that prolonged parental inbreeding has led to a background level of homozygosity increased approximately 5% over and above that predicted by simple models of consanguinity. This has important clinical and research implications.

Chromosome Disorders↗

Validation of single nucleotide polymorphism quantification in pooled DNA samples with SNaPIT. A glycosylase-mediated methods for polymorphism detection method.

Association studies using genome scans to identify quantitative trait loci for multifactorial disorders, with anything approaching reasonable power, have been compromised by the need for a very dense array of genetic markers and large numbers of affected individuals. These requirements impose enormous burdens on the genotyping capacity for most laboratories. DNA pooling has been proposed as a possible approach to reduce genotyping costs and effort. We report on the application of the SNaPIT technology to evaluate allele frequencies in pooled DNA samples and conclude that it offers a cost effective, efficient and accurate estimator and provides several advantages over competing technologies in this regard.

Chromosome Mapping↗

Monitoring S phase progression globally and locally using BrdU incorporation in TK(+) yeast strains.

Eukaryotic chromosome replication is initiated from numerous origins and its activation is temporally controlled by cell cycle and checkpoint mechanisms. Yeast has been very useful in defining the genetic elements required for initiation of DNA replication, but simple and precise tools to monitor S phase progression are lacking in this model organism. Here we describe a TK(+) yeast strain and conditions that allow incorporation of exogenous BrdU into genomic DNA, along with protocols to detect the sites of DNA synthesis in yeast nuclei or on combed DNA molecules. S phase progression is monitored by quantification of BrdU in total yeast DNA or on individual chromosomes. Using these tools we show that yeast chromosomes replicate synchronously and that DNA synthesis occurs at discrete subnuclear foci. Analysis of BrdU signals along single DNA molecules from hydroxyurea-arrested cells reveals that replication forks stall 8-9 kb from origins that are placed 46 kb apart on average. Quantification of total BrdU incorporation suggests that 190 'early' origins have fired in these cells and that late replicating territories might represent up to 40% of the yeast genome. More generally, the methods outlined here will help understand the kinetics of DNA replication in wild-type yeast and refine the phenotypes of several mutants.

Blotting, Southern↗

How quantitative is quantitative PCR with respect to cell counts?

Quantitative diagnostic PCR systems based upon rDNA targeted primer and probe combinations were developed for the detection of Escherichia coli, Pseudomonas aeruginosa, Pseudomonas fluorescens, Pseudomonas alcaligenes, enterococci, Staphylococcus aureus, and Staphylococcus epidermidis. Primers and probes were designed in silico using the ARB software package (TU Munich) in combination with Primer Design software of PE Applied Biosystems. Purified genomic DNA or bacterial cells of target and reference organisms were used for the evaluation of the PCR assays applying the TaqMan technique on an ABI PRISM TM 7700 Sequence Detection System (PE Applied Biosystems). Sensitive, reliable and reproducible quantification of target rDNA could be achieved applying primer-probe combinations that mediate in vitro amplification of DNA fragments smaller than 100 base pairs. Large amounts of non target DNA (1 mg per sample) remarkably affected the quantification potential of the approach resulting in an underestimation of the amounts of target DNA. One of the principal goals was to use quantitative PCR to study the correlation of gene and cell numbers depending on the growth behavior of target organisms and to explore the potential to estimate cell numbers from target DNA quantification. A clear correlation of rDNA quantification and bacterial growth was observed, however, cell numbers cannot directly be estimated from quantitative PCR data, given that the cellular genome content varies with the growth phase of the organisms. In the case of Escherichia coli the cell numbers which could be assigned to a certain number of rDNA targets varied reasonably depending upon the growth phase of batch cultures.

Bacteria↗