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Quantitative analysis of total mitochondrial DNA: competitive polymerase chain reaction versus real-time polymerase chain reaction.

An efficient and effective method for quantification of small amounts of nucleic acids contained within a sample specimen would be an important diagnostic tool for determining the content of mitochondrial DNA (mtDNA) in situations where the depletion thereof may be a contributing factor to the exhibited pathology phenotype. This study compares two quantification assays for calculating the total mtDNA molecule number per nanogram of total genomic DNA isolated from human blood, through the amplification of a 613-bp region on the mtDNA molecule. In one case, the mtDNA copy number was calculated by standard competitive polymerase chain reaction (PCR) technique that involves co-amplification of target DNA with various dilutions of a nonhomologous internal competitor that has the same primer binding sites as the target sequence, and subsequent determination of an equivalence point of target and competitor concentrations. In the second method, the calculation of copy number involved extrapolation from the fluorescence versus copy number standard curve generated by real-time PCR using various dilutions of the target amplicon sequence. While the mtDNA copy number was comparable using the two methods (4.92 +/- 1.01 x 10(4) molecules/ng total genomic DNA using competitive PCR vs 4.90 +/- 0.84 x 10(4) molecules/ng total genomic DNA using real-time PCR), both inter- and intraexperimental variance were significantly lower using the real-time PCR analysis. On the basis of reproducibility, assay complexity, and overall efficiency, including the time requirement and number of PCR reactions necessary for the analysis of a single sample, we recommend the real-time PCR quantification method described here, as its versatility and effectiveness will undoubtedly be of great use in various kinds of research related to mitochondrial DNA damage- and depletion-associated disorders.

DNA, Mitochondrial↗

Comprehensive epitope analysis of human immunodeficiency virus type 1 (HIV-1)-specific T-cell responses directed against the entire expressed HIV-1 genome demonstrate broadly directed responses, but no correlation to viral load.

Cellular immune responses play a critical role in the control of human immunodeficiency virus type 1 (HIV-1); however, the breadth of these responses at the single-epitope level has not been comprehensively assessed. We therefore screened peripheral blood mononuclear cells (PBMC) from 57 individuals at different stages of HIV-1 infection for virus-specific T-cell responses using a matrix of 504 overlapping peptides spanning all expressed HIV-1 proteins in a gamma interferon-enzyme-linked immunospot (Elispot) assay. HIV-1-specific T-cell responses were detectable in all study subjects, with a median of 14 individual epitopic regions targeted per person (range, 2 to 42), and all 14 HIV-1 protein subunits were recognized. HIV-1 p24-Gag and Nef contained the highest epitope density and were also the most frequently recognized HIV-1 proteins. The total magnitude of the HIV-1-specific response ranged from 280 to 25,860 spot-forming cells (SFC)/10(6) PBMC (median, 4,245) among all study participants. However, the number of epitopic regions targeted, the protein subunits recognized, and the total magnitude of HIV-1-specific responses varied significantly among the tested individuals, with the strongest and broadest responses detectable in individuals with untreated chronic HIV-1 infection. Neither the breadth nor the magnitude of the total HIV-1-specific CD8+-T-cell responses correlated with plasma viral load. We conclude that a peptide matrix-based Elispot assay allows for rapid, sensitive, specific, and efficient assessment of cellular immune responses directed against the entire expressed HIV-1 genome. These data also suggest that the impact of T-cell responses on control of viral replication cannot be explained by the mere quantification of the magnitude and breadth of the CD8+-T-cell response, even if a comprehensive pan-genome screening approach is applied.

Acquired Immunodeficiency Syndrome↗

DeepGeSeq: deep learning library for genomic sequence modeling and analysis.

MOTIVATION: Deep learning methods have demonstrated significant potential in genomics, enabling broad applications such as sequence activity prediction, regulatory rule identification, and variant effect quantification. However, their widespread adoption is often hindered by the steep computational learning curve required for model construction, training, and downstream biological interpretation. Here, we introduce DeepGeSeq, a user-friendly Deep-learning library tailored for Genomic Sequence modeling and analysis. RESULTS: By integrating state-of-the-art architectural modules, DeepGeSeq streamlines the entire deep learning workflow, requiring minimal user input via a simple configuration file and an intuitive agentic skill. We comprehensively validate the efficacy of DeepGeSeq through diverse case studies, encompassing pipeline verification using synthetic datasets, the reproduction and application of established models, and model fine-tuning coupled with biological interpretation on user-defined data. Furthermore, we demonstrate DeepGeSeq's versatility in domain-specific applications, including single-cell ATAC-seq modeling for cell-type clustering, and MPRA data modeling coupled with in silico saturation mutagenesis to dissect cis-regulatory elements. Ultimately, DeepGeSeq bridges the gap between computational complexity and biological discovery, providing an accessible resource that facilitates the development and broad application of deep learning methods in genomics research. AVAILABILITY AND IMPLEMENTATION: https://github.com/JiaqiLi1024/DeepGeSeq.

Deep Learning↗

Nucleic acid-based cross-linking assay for detection and quantification of hepatitis B virus DNA.

A nucleic acid photo-cross-linking technology was used to develop a direct assay for the quantification of hepatitis B virus (HBV) DNA levels in serum. Cross-linker-modified DNA probes complementary to the viral genomes of the major HBV subtypes were synthesized and used in an assay that could be completed in less than 6 h. The quantification range of the assay, as determined by testing serial dilutions of Eurohep HBV reference standards and cloned HBV DNA, was 5 x 10(5) to 3 x 10(9) molecules of HBV DNA/ml of serum. Within-run and between-run coefficients of variation (CVs) for the assay were 4. 3 and 4.0%, respectively. The assay was used to determine HBV DNA levels in 302 serum samples, and the results were compared to those obtained after testing the same samples with the Chiron branched-DNA (bDNA) assay for HBV DNA. Of the samples tested, 218 were positive for HBV DNA by both assays and 72 gave results below the cutoff for both assays. Of the remaining 12 samples, 10 were positive for HBV DNA by the cross-linking assay only; the 2 other samples were positive by the bDNA assay only. Twenty-eight samples had to be retested by the bDNA assay (CV, >20% between the results obtained from the testing of each sample in duplicate), whereas only three samples required retesting by the cross-linking assay. The correlation between the HBV DNA levels, as measured by the two tests, was very high (r = 0.902; P = 0.01). We conclude that the cross-linking assay is a sensitive and reproducible method for the detection and quantification of HBV DNA levels in serum.

Cross-Linking Reagents↗

Quantification of mRNA for endothelial NO synthase in mouse blood vessels by real-time polymerase chain reaction.

The mouse is useful in studies of vascular biology because of its well-defined genetics and because the mouse genome can be manipulated. However, because only small amounts of mRNA can be extracted from blood vessels, the quantification of gene expression in individual mice is difficult. Endothelial NO synthase (eNOS) plays a major role in the regulation of vascular tone and growth. In addition, there appear to be sex differences in the production of NO under basal conditions in mouse aortas. The goals of this study were to develop a real-time polymerase chain reaction (PCR) method to quantify eNOS mRNA in blood vessels from mice and to examine eNOS mRNA levels in vessels from male and female mice. Blood vessels were isolated from C57BL/6 mice. Total RNA from individual mice was isolated and reverse-transcribed. The number of molecules of eNOS mRNA (after reverse transcription) was determined against cDNA standards, with 18S rRNA used as a control for RNA input and reverse-transcription efficiency. When expressed as copy numbers per nanogram of total RNA or as the ratio of eNOS to 18S rRNA, eNOS mRNA was lower in the aortas of female mice than in those of male mice at 7 to 9 months of age. In contrast, no difference in eNOS mRNA was found in the aortas of 2-month-old mice. In addition, eNOS mRNA levels were similar in the carotid, cerebral, and coronary arteries. These findings provide the first quantitative measurements of eNOS mRNA by using real-time PCR in the vessels of mice and suggest age- and sex-related differences in the basal levels of eNOS mRNA in mice. In addition, the eNOS region that was used for real-time PCR was amplified and sequenced for monkeys and other species. With modifications, this region may be used to design real-time PCR for eNOS in other species.

Animals↗

ChromCall: assigning chromatin status to defined genomic regions using epigenomic profiling data.

MOTIVATION: Chromatin regulation is crucial for modulating gene expression and cellular function by altering DNA accessibility. Defining and understanding chromatin regulation across diverse biological conditions, including health and disease, requires quantification of both the presence and enrichment level of diverse DNA-binding factors and chromatin modifications across defined genomic regions. Existing approaches mainly rely on peak-based or genome-wide models, which identify high-signal regions but do not annotate chromatin status at predefined functional genomic regions, such as promoters or enhancers. This lack of region-based annotation limits downstream comparative and integrative analyses across multiple factors and datasets, prompting us to create ChromCall. RESULTS: ChromCall is an R package for region-based chromatin enrichment analysis that provides a robust and extensible foundation for transparent and reproducible epigenomic profiling at predefined genomic regions. We applied ChromCall to ChIP-seq data from glioblastoma (GBM) brain tumours and found that the promoters of genes implicated in treatment resistance are significantly more likely to exhibit a combination of histone marks associated with phenotypic plasticity. This highlights a potential novel mechanism of therapeutic escape in these deadly tumours. AVAILABILITY AND IMPLEMENTATION: The R package is available on https://github.com/GliomaGenomics/ChromCall and the version used in this paper is archived at https://doi.org/10.5281/zenodo.19580967.

Chromatin↗

Quantification of murine cytokine mRNAs using real time quantitative reverse transcriptase PCR.

Recently, a novel technique for "real time" quantitative Reverse Transcriptase-PCR which measures PCR-product accumulation during the exponential phase of the PCR reaction using a dual-labelled fluorogenic probe, has been developed. This method allows direct detection of PCR-product formation by measuring the increase in fluorescent emission continuously during the PCR reaction. Here we present data validating this PCR-method for the quantification of murine cytokines and other factors playing a role in immune regulation (IL-1, IL-2, IL-4, IL-5, IL-6, IL-7, IL-10, IL-12p40, IL-13, IL-15, IFN-gammaTNF-alphaTGF-beta and iNOS). For each substance of interest, a set of primers and internal probe was designed, which specifically amplify the target cDNA, not co-amplifying contaminating genomic DNA. Furthermore, a corresponding reference plasmid cDNA clone was constructed, allowing direct quantification. Additionally, normalization to the housekeeping genes beta-actin or GAPDH was performed. The assay is very sensitive and accurate. It is a "closed-tube" PCR reaction, avoiding time-consuming and hazardous post-PCR manipulations and decreasing the potential risk of PCR contamination.

Animals↗

Correlated evolution of genome size and seed mass.

Previous investigators have identified strong positive relationships between genome size and seed mass within species, and across species from the same genus and family. Here, we make the first broad-scale quantification of this relationship, using data for 1222 species, from 139 families and 48 orders. We analyzed the relationship between genome size and seed mass using a statistical framework that included four different tests. A quadratic relationship between genome size and seed mass appeared to be driven by the large genome/seed mass gymnosperms and the many small genome size/large seed mass angiosperms. Very small seeds were never associated with very large genomes, possibly indicating a developmental constraint. Independent contrast results showed that divergences in genome size were positively correlated with divergences in seed mass. Divergences in seed mass have been more closely correlated with divergences in genome size than with divergences in other morphological and ecological variables. Plant growth form is the only variable examined thus far that explains a greater proportion of variation in seed mass than does genome size.

Biological Evolution↗

Molecular genetic analysis of a hybrid gene encoding Sta glycophorin of the human erythrocyte membrane.

Sta is an antigen of the human MNSs blood group system carried by a variant glycophorin residing in the erythrocyte membrane. We examined the structure, organization, and inheritance of Sta gene identified in genomic DNA from an Oriental family. Southern blotting detected a useful genetic marker tightly linked to the Sta gene. Differential hybridization and secondary restriction analyses showed that Sta gene is a fusion hybrid of delta and alpha glycophorin genes. Genomic mapping by extensive use of synthetic oligonucleotides, with overlapping sequence specificity, allowed us to define the delta-alpha junction site and disclose the organization of the variant gene. The junction point of Sta hybrid gene is encompassed by an unexpressed exonlike sequence of the delta gene at the 5' site, and an expressed sequence of the alpha gene spanning codons 59 through 71, at the 3' site. Dosage quantification demonstrated the occurrence of Sta gene as a single copy in the genome. Blood group inheritance, evaluated by DNA typing, established the tight linkage of Sta to the alpha M and delta S genes. The data support a single unequal crossing-over event between misaligned delta and alpha genes on the homologous chromosomes as the mechanism for the origin of Sta gene. The Sta gene is similar in overall structure to another delta-alpha hybrid gene, Dantu, but differs from it in junction structure, copy number, gene linkage, and antigen specificity.

Amino Acid Sequence↗

Quantification of human cytomegalovirus DNA using the polymerase chain reaction.

The important goal of developing quantitative assays for viral nucleic acids in clinical samples has been achieved for human cytomegalovirus (HCMV) by using a modified polymerase chain reaction (PCR). A control PCR target sequence was constructed by PCR mutagenesis to allow the post-amplification quantification of HCMV DNA. The control region was identical to a naturally occurring sequence within the glycoprotein B (gB) coding part of the virus genome, except that a unique restriction site, introduced by the aforementioned mutagenesis step, allowed post-amplification differentiation of control/non-control target amplified product. This technique was initially validated using known amounts of cloned control/non-control target DNA, and was found to be sufficiently sensitive to allow the quantification of a range of 10 to 10(6) genome equivalents of virus. The method was applied to urine samples of congenitally infected infants for which infectious virus titres were available. The results obtained demonstrated that the number of infectious virions determined by conventional cell culture represented a small proportion of the HCMV genome present in the samples, as assessed by the quantitative PCR methodology.

Base Sequence↗

DNA Methylation Analysis by Bisulfite Pyrosequencing of Mouse Embryonic Fibroblasts with Reprogramming Enhanced by Thyroid Hormones.

DNA methylation is a widely studied epigenetic mark which in mammals involves the incorporation of a methyl group to the fifth carbon of cytosines, mainly those belonging to CpG dinucleotides. It has been linked to context-dependent regulatory functions ranging from gene and repetitive DNA silencing to gene body transcriptional activity. Because of its important roles during embryonic development and cell differentiation, DNA methylation can be used to track cell reprogramming by measuring the methylation levels of pluripotency-associated factors. In this scenario, bisulfite pyrosequencing is a simple, robust, and widely used technique which allows for the quantification of DNA methylation levels at small, specific regions of the genome. It involves the amplification and biotin tagging of bisulfite-converted DNA. Single amplified strands are then purified using streptavidin and finally pyrosequenced using a sequencing primer. Thus, it is an ideal method for the quantitative profiling of specific genomic regions, with applications ranging from biomarker discovery and epigenetic clock tracking to omic validation studies.

Animals↗

Chromosomal mapping of genetic loci controlling absence epilepsy phenotypes in the WAG/Rij rat.

PURPOSE: The WAG/Rij rat is among the most appropriate models for the study of spontaneous childhood absence epilepsy, without complex neurologic disorders that are associated with some mouse models for absence epilepsy. Previous studies have allowed the identification of distinct types of spike-wave discharges (SWDs) characterizing seizures in this strain. The purpose of this study was to investigate the genetic basis of electroencephalographic (EEG) properties of SWDs. METHODS: An intercross was derived from WAG/Rij and ACI inbred strains that are known to differ substantially in the number of SWDs. Phenotypic analyses based on 23-h EEG recording in all progenies allowed the quantification of type I and type II SWD phenotypes. A genome-wide scan was performed with 145 microsatellite markers, which were used to test for evidence of genetic linkage to SWD quantitative phenotypes. RESULTS: We were able to map quantitative trait loci independently, controlling type I and type II SWD variables to rat chromosomes 5 and 9. Strongest linkages were obtained for D5Mgh15 and total duration of type II SWD (lod, 3.64) and for D9Rat103 and the average duration of type I SWD (lod, 3.91). These loci were denoted T2swd/wag and T1swd/wag, respectively. CONCLUSIONS: The independent genetic control of type I and type II SWDs underlines the complexity of the molecular mechanisms participating in SWDs. The identification of these genetic loci represents an important step in our fundamental knowledge of the architecture of SWDs and may provide new insights for resolving the genetic heterogeneity of absence epilepsy.

Animals↗

Development of a quantitative PCR assay for monitoring HCV viraemia levels in patients with chronic hepatitis C.

The need to improve the efficacy of anti-viral agents directed against the hepatitis C virus (HCV) has prompted the development of quantitative tests to monitor viraemia levels in relation to therapy. In this respect, we have produced a non-competitive, quantitative PCR assay (Amplicor HCV Monitor) which is based on the single, combined, reverse transcription and amplification of the 5' non-coding region of HCV RNA as well as of an internal standard which serves to assess the overall efficiency of the system. The dynamic range of the assay and its precision allows for an accurate quantification between 1000 and 1,000,000 copies of the viral genome per ml. The results of the first clinical evaluation of the test indicated that determination of viraemia may have predictive value when assessed prior to treatment, as patients with less than 50,000 HCV RNA copies per ml tend to show a long-term response to interferon-alpha (IFN-alpha) treatment. Moreover, a decrease of more than 1.5-2 logarithms occurring at 1 month post-initiation of therapy predicts response in a more timely and accurate fashion than ALT measurement. This may help in a better selection of patients to treat, therapy approaches and schedules and in the optimization of the cost-benefit balance.

Chronic Disease↗

Approaches to determine stoichiometry of viral assembly components.

Due to the rapidity of biological reactions, it is difficult to isolate intermediates or to determine the stoichiometry of participants in intermediate reactions. Instead of determining the absolute amount of each component, this study involved the use of relative parameters, such as dilution factors, percentages probabilities, and slopes of titration curves, that can be more accurately quantified to determine the stoichiometry of components involved in bacteriophage phi29 assembly. This work takes advantage of the sensitive in vitro phage phi29 assembly system, in which 10(8) infectious virions per ml without background can be assembled from eight purified components. It provides a convenient assay for quantification of the stoichiometry of packaging components, including the viral procapsid, genomic DNA, DNA-packaging pRNA, and other structural proteins and enzymes. The presence of a procapsid binding domain and another essential functional domain within the pRNA makes it an ideal component for constructing lethal mutants for competitive procapsid binding. Two methods were used for stoichiometry determination. Method 1 was to determine the combination probability of mutant and wild-type pRNAs bound to procapsids. The probability of procapsids that possess a certain amount of mutant and a certain amount of wild-type pRNA, both with an equal binding affinity, was predicted with the binomial equation [EQUATION IN TEXT] where Z is the total number of pRNAs per procapsid, M is the number of mutant pRNAs bound to one procapsid, and (ZM) is equal to [FORMULA IN TEXT]. With various ratios of mutant to wild-type pRNA in in vitro viral assembly, the percent mutant pRNA versus the yield of virions was plotted and compared to a series of predicted curves to find a best fit. It was determined that five or six copies of pRNA were required for one DNA-packaging event, while only one mutant pRNA per procapsid was sufficient to block packaging. Method 2 involved the comparison of slopes of curves of dilution factors versus the yield of virions. Components with known stoichiometries served as standard controls. The larger the stoichiometry of the component, the more dramatic the influence of the dilution factor on the reaction. A slope of 1 indicates that one copy of the component is involved in the assembly of one virion. A slope larger than 1 would indicate multiple-copy involvement. By this method, the stoichiometry of gp11 in phi29 particles was determined to be approximately 12. These approaches are useful for the determination of the stoichiometry of functional units involved in viral assembly, be they single molecules or oligomers. However, these approaches are not suitable for the determination of exact copy numbers of individual molecules involved if the functional unit is composed of multiple subunits prior to assembly.

Bacillus Phages↗

Identification of QTLs controlling gene expression networks defined a priori.

BACKGROUND: Gene expression microarrays allow the quantification of transcript accumulation for many or all genes in a genome. This technology has been utilized for a range of investigations, from assessments of gene regulation in response to genetic or environmental fluctuation to global expression QTL (eQTL) analyses of natural variation. Current analysis techniques facilitate the statistical querying of individual genes to evaluate the significance of a change in response, also known as differential expression. Since genes are also known to respond as groups due to their membership in networks, effective approaches are needed to investigate transcriptome variation as related to gene network responses. RESULTS: We describe a statistical approach that is capable of assessing higher-order a priori defined gene network response, as measured by microarrays. This analysis detected significant network variation between two Arabidopsis thaliana accessions, Bay-0 and Shahdara. By extending this approach, we were able to identify eQTLs controlling network responses for 18 out of 20 a priori-defined gene networks in a recombinant inbred line population derived from accessions Bay-0 and Shahdara. CONCLUSION: This approach has the potential to be expanded to facilitate direct tests of the relationship between phenotypic trait and transcript genetic architecture. The use of a priori definitions for network eQTL identification has enormous potential for providing direction toward future eQTL analyses.

Arabidopsis↗

Association between NAFLD and liver cancer: A two-sample Mendelian randomization study.

Observational studies suggest an association between nonalcoholic fatty liver disease (NAFLD) and liver cancer, but its causal nature remains unclear. A 2-sample Mendelian randomization (MR) analysis was performed using NAFLD and liver cancer summary statistics from genome-wide association study databases. Instrumental variables satisfying the 3 core MR assumptions were selected. Causal effects were estimated using inverse-variance weighted, MR-Egger, weighted median, and other methods, followed by sensitivity and power analyses. All 4 MR analyses demonstrated a positive causal association between NAFLD and liver cancer risk [odds ratio&#x2005;>&#x2005;1, inverse-variance weighted P&#x2005;<&#x2005;.001]. Sensitivity analysis indicated no significant level of multiplicity or heterogeneity in the instrumental variables, and individual single nucleotide polymorphisms had no significant impact on the results. However, statistical power was insufficient. This study provides the first MR evidence demonstrating a genetically predicted causal relationship between NAFLD and liver cancer that is consistent across subtypes. Sensitivity analyses confirmed the absence of horizontal pleiotropy or heterogeneity, strengthening the robustness of the findings. These results offer genetic support for early NAFLD intervention to reduce the risk of liver cancer. However, the limited statistical power highlights the need for larger-scale genome-wide association study to identify more and stronger genetic instruments for a more precise quantification of the causal effect of NAFLD on liver cancer risk.

Humans↗

Quantification of 5-methylcytosine in DNA by the chloroacetaldehyde reaction.

The study of changes in genome-wide levels of DNA methylation has become a key focus for understanding the epigenetic regulation of gene expression. Many procedures exist to study DNA methylation, falling into two categories: gene-specific and genome-wide. Genome-wide methylation analysis is best performed by DNA hydrolysis followed by HPLC; however, it requires access to an HPLC machine, which is not always available. Alternative procedures, such as the radioactive labeling of CpG sites using SssI DNA methyltransferase, have been developed to address this problem, but it can only monitor CpG methylation changes, and CpNpG methylation is not detected. Here, we present a method for the analysis of DNA methylation in any sequence context by fluorescent labeling. We present control analyses using synthetic oligonucleotides of known methylation levels and a comparison of genomic DNA from two transgenic tobacco lines known to differ in their methylation levels. The results indicate that hygromycin-induced hypermethylation acts equally on all classes of methylatable cytosine, perhaps indicating a common mechanism.

5-Methylcytosine↗

[Genotyping and the quantification of hepatitis C virus by the melting curves in light cycler].

Detection of the HCV genome is crucial for diagnosis of HCV infection and for monitoring the efficacy of interferon treatment for patients with HCV. We developed a convenient screening test for HCV genotypes 1 and 2 based on the melting curve analysis with SYBER green I. Serum samples were drawn from 114 patients with known chronic HCV infection confirmed to be antibody-positive by immunoblot assay. A characteristic melting profile for each genotype was obtained by monitoring the fluorescence as the temperature increases through the melting point of the PCR product. Serum samples with HCV-RNA genotype (1b, 2a and 2b) were analyzed every test as standard samples and the genotype of unknown samples was determined by the comparison with the melting point of standard samples. Serum samples with known HCV-RNA genotype (1b, 2a and 2b) and HCV-RNA-negative sample were tested using the Light cycler system. The melting curve analysis indicated that melting points are 93.08 +/- 0.56 degrees C for genotype 1b (n = 63), 91.08 +/- 0.49 degrees C for genotype 2a (n = 33), and 91.77 +/- 0.28 degrees C for genotype 2b (n = 18). The melting points for genotypes 1b, 2a, and 2b differed by approximately 1 degree C in each other. The genotype was determined for all samples using Okamoto's method and Light cycler system, and both systems produced absolutely identical results for all the samples studied. Sixty-three of 114 were genotype 1b, 33 samples were genotype 2a, and 18 were genotype 2b. This melting curve analysis is a rapid and convenient screening test for differentiation of HCV genotypes 1 and 2.

Benzothiazoles↗