Understanding intercalative modulation of G-rich sequence folding: solution structure of a TINA-conjugated antiparallel DNA triplex

We present here the high-resolution structure of an antiparallel DNA triplex in which a monomer of para-twisted intercalating nucleic acid (para-TINA: (R)-1-O-[4-(1-pyrenylethynyl)phenylmethyl]glycerol) is covalently inserted as a bulge in the third strand of the triplex. TINA is a potent modulator of the hybridization properties of DNA sequences with extremely useful properties when conjugated in G-rich oligonucleotides. The insertion of para-TINA between two guanines of the triplex imparts a high thermal stabilization (ΔTM = 9ºC) to the structure and enhances the quality of NMR spectra by increasing the chemical shift dispersion of proton signals near the TINA location. The structural determination reveals that TINA intercalates between two consecutive triads, causing only local distortions in the structure. The two aromatic moieties of TINA are nearly coplanar, with the phenyl ring intercalating between the flanking guanine bases in the sequence, and the pyrene moiety situated between the Watson-Crick base pair of the two first strands. The precise position of TINA within the triplex structure reveals key TINA-DNA interactions, which explains the high stabilization observed and will aid in the design of new and more efficient binders to DNA.

Using custom-built primers and nanopore sequencing to evaluate CO-utilizer bacterial and archaeal populations linked to bioH2 production

The microbial community composition of five distinct thermophilic hot springs was effectively described in this work, using broad-coverage nanopore sequencing (ONT MinION sequencer). By examining environmental samples from the same source, but from locations with different temperatures, bioinformatic analysis revealed dramatic changes in microbial diversity and archaeal abundance. More specifically, no archaeal presence was reported with universal bacterial primers, whereas a significant archaea presence and also a wider variety of bacterial species were reported. These results revealed the significance of primer preference for microbiomes in extreme environments. Bioinformatic analysis was performed by aligning the reads to 16S microbial databases for identification using three different alignment methods, Epi2Me (Fastq 16S workflow), Kraken, and an in-house BLAST tool, including comparison at the genus and species levels. As a result, this approach to data analysis had a significant impact on the genera identified, and thus, it is recommended that use of multiple analysis tools to support findings on taxonomic identification using the 16S region until more precise bioinformatics tools become available. This study presents the first compilation of the ONT-based inventory of the hydrogen producers in the designated hot springs in Türkiye.

Evaluation of lateral flow and ELISA techniques for detecting IgG and IgM antibodies in COVID-19 cases in Türkiye

Background

Antibody testing can complement molecular assays for detecting COVID-19.

Aims

We evaluated the concurrence between lateral flow assay and enzyme-linked immunosorbent assay (ELISA) for the detection of antibodies in severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2).

Methods

The study was conducted at Kocaeli University, Türkiye. We used a lateral flow assay and ELISA to test serum samples from COVID-19 cases, confirmed by polymerase chain reaction assays (study group) and pre-pandemic stored serum samples (control group). We used Deming regression to evaluate the antibody measurements.

Results

The study group included 100 COVID-19 cases, and the control group included pre-pandemic samples from 156 individuals. The lateral flow assay detected immunoglobulin M (IgM) and G (IgG) antibodies in 35 and 37 study group samples. ELISA detected IgM nucleocapsid (N) antibodies in 18 samples, and IgG (N) and IgG spike 1 (S1) antibodies in 31 and 29 samples, respectively. None of the techniques detected antibodies in the control samples. Strong correlations were found between lateral flow IgG (N+ receptor-binding domain + S1) and ELISA IgG (S) (r = 0.93, P < 0.01) and ELISA IgG (N) (r = 0.81, P < 0.01). Weaker correlations were seen between ELISA IgG S and IgG N (r = 0.79, P < 0.01) and lateral flow assay and ELISA IgM (N) (r = 0.70, P < 0.01).

Conclusion

Lateral flow assay and ELISA techniques gave consistent results for IgG/IgM antibody measurements towards spike and nucleocapsid proteins, suggesting that both methods can be used to detect COVID-19 where access to molecular test kits is difficult.

A novel method for conserved sequence extraction with prospective mutation prediction for SARS-CoV-2 PCR primer design

While the whole genomic sequence of SARS-CoV-2 had been revealed, it was also demonstrated that the genome of SARS-CoV-2 exhibits identity with the genome of SARS-CoV and MERS-CoV with ratios of 80 % and 50 % respectively. In the light of SARS-CoV-2 infection and mortality data, diagnosis and treatment of COVID-19 came into prominence around the world. As such many RT-PCR kits have been developed by biotechnology scientists. However viruses are fast mutating organisms and in order to increase accuracy, feasibility in long term and avoid the off target results of RT-PCR assays, regions of viral genome with low mutation rate and designing of primers targeting these regions are quite important. In this scope, we are presenting a novel algorithm that could be used for finding low mutation rate regions of SARS-CoV-2 and primers that were designed according to findings from our algorithm in this study.

A comprehensive drug repurposing study for COVID19 treatment: novel putative dihydroorotate dehydrogenase inhibitors show association to serotonin-dopamine receptors

Dihydroorotate dehydrogenase (DHODH) is a key enzyme required for de novo pyrimidine synthesis and it is suggested as a target for COVID19 treatment due to high pyrimidine demand by the virus replication in the infected host cells as well as its proven effect of blocking of cytokine release by the immune cells to prevent inflammation leading to acute respiratory distress. There are a number of clinical trials underway for COVID19 treatment using DHODH inhibitors; however, there are only a small number of known DHODH antagonists available for testing. Here, we have applied a methodology to identify DHODH antagonist candidates, and compared them using in silico target prediction tools. A large set of 7900 FDA-approved and clinical stage drugs obtained from DrugBank were docked against 20 different structures DHODH available in PDB. Drugs were eliminated according to their predicted affinities by Autodock Vina. About 28 FDA-approved and 79 clinical trial ongoing drugs remained. The mode of interaction of these molecules was analyzed by repeating docking using Autodock 4 and DS Visualiser. Finally, the target region predictions of 28 FDA-approved drugs were determined through PASS and SwissTargetPrediction tools. Interestingly, the analysis of in silico target predictions revealed that serotonin-dopamine receptor antagonists could also be potential DHODH inhibitors. Our candidates shared a common attribute, a possible interaction with serotonin-dopamine receptors as well as other oxidoreductases, like DHODH. Moreover, the Bruton Tyrosine Kinase-inhibitor acalabrutunib and serotonin-dopamine receptor inhibitor drugs on our list have been found in the literature that have shown to be effective against Sars-CoV-2, while the path of activity is yet to be identified. Identifying an effective drug that can suppress both inflammation and virus proliferation will play a crucial role in the treatment of COVID. Therefore, we suggest experimental investigation of the 28 FDA-approved drugs on DHODH activity and Sars-CoV-2 virus proliferation. Those who are found experimentally effective can play an important role in COVID19 treatment. Moreover, we suggest investigating COVID19 case conditions in patients using schizophrenia and depression drugs.

NeuMoDx random access molecular diagnostic system for detection and quantification of hepatitis B virus in clinical samples

INTRODUCTION

Currently, several molecular assays are available to detect and quantify HBV DNA in clinical samples. We aimed to characterize and compare the clinical performance of newly designed NeuMoDx PCR to the existing artus PCR.

METHODOLOGY

The plasma HBV DNA levels of 96 clinical and 5 external quality control samples were measured by NeuMoDx and artus assays simultaneously in Kocaeli University, Turkey. The linearity, agreement and the correlation between two assays were determined by Deming regression analysis, Bland-Altman plotting, the chi-square and the relative absolute error statistical analyzes. For all statistical analyzes, the XLSTAT statistical program was used.

RESULTS

The mean (standard deviation; SD) age was 45.07 ± 12.29. HBsAg S/Co median (range) was 4,273.4 ± 1,138.1 and ALT U/L median (range) was 27 ± 16. The mean (SD) of HBV DNA was 1.46+E6 ± 1.0+E4 for NeuMoDx and 1.54+E5 ± 4.7 + E4 for artus assays. The Deming regression indicates a linear correlation (95% confidence). The chi-square test indicates strong correlation (p < 0.001). Bland-Altman analysis confirms that the measurement difference is acceptable. The relative absolute error analysis for artus showed relatively less and more consistent error rate. With 5 external quality check samples, the statistical significance was low (p = 0.566).

CONCLUSIONS

The NeuMoDx HBV assay showed an excellent analytical performance by providing a rapid, high throughput technology in a random-access testing system in clinical samples and may be a new solution for viral load quantification in the management of HBV infections.

Investigation of compatibility of severe acute respiratory syndrome coronavirus 2 reverse transcriptase-PCR kits containing different gene targets during coronavirus disease 2019 pandemic

Aim:

In the diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), reverse transcriptase-PCR (RT-PCR) technique is often used. We evaluated the compatibility of SARS-CoV-2 RT-PCR kits containing different gene targets during the pandemic.

Materials & methods:

Samples were tested by Bio-Speddy^® (RdRp gene) and Diagnovital^® (RdRp + E genes). The correlation between two assays were determined by Deming regression analysis and chi-square analyses.

Results:

Diagnovital PCR kit showed amplification in a narrow Ct range and conveniently sharper exponential amplification curves than Bio-Speedy PCR kit. While the correlation between the findings of the two kits was apparent even with single gene target, this correlation increased when a secondary biomarker was added to the correlation calculations.

Conclusion:

We have observed high correlation between different PCR kits, however, using different PCR kits during the pandemic may provide a more accurate diagnosis of SARS-CoV-2, since despite correlation there are a number of patients showing contradicting diagnosis.

G4Catchall: A G-quadruplex prediction approach considering atypical features

MOTIVATION

In vivo discovery of G-quadruplex-forming sequences would provide the most relevant G-quadruplexes along a genomic DNA or an RNA molecule, however it is difficult to perform due to the small size of G-quadruplexes, the existence of different topologies, and the additional influence of environmental factors and ligands present during experimentation. In vitro discovery on the other hand is not only unable to simulate in vivo conditions but also, is not practical for large sequences due to limited resources. The immediate solution continues to be the computational prediction although, not always in agreement with experimental findings. This is often due to features that are not conventionally accepted for G-quadruplexes such as disrupted G-tracts or extremely long loops.

RESULTS

Here, we propose a novel tool for the discovery of putative G-quadruplexes with better accuracy through consideration of the features of previously missed G-quadruplex-forming sequences. Comparing against a set of experimentally confirmed sequences, a sensitivity as high as 99% and Youden's J-statistics of as high as 0.91 is achieved; an improvement over other computational approaches. More importantly, we showed that the allowance of a single atypical G-tract which includes a mismatched or a bulging non-guanine nucleotide, and a single loop of extreme size benefits the overall prediction.

AVAILABILITY AND IMPLEMENTATION

The python code may be found at http://github.com/odoluca/G4Catchall and the web application at http://homes.ieu.edu.tr/odoluca/G4Catchall.

G-quadruplex prediction in E. coli genome reveals a conserved putative G-quadruplex-Hairpin-Duplex switch

Many studies show that short non-coding sequences are widely conserved among regulatory elements. More and more conserved sequences are being discovered since the development of next generation sequencing technology. A common approach to identify conserved sequences with regulatory roles relies on topological changes such as hairpin formation at the DNA or RNA level. G-quadruplexes, non-canonical nucleic acid topologies with little established biological roles, are increasingly considered for conserved regulatory element discovery. Since the tertiary structure of G-quadruplexes is strongly dependent on the loop sequence which is disregarded by the generally accepted algorithm, we hypothesized that G-quadruplexes with similar topology and, indirectly, similar interaction patterns, can be determined using phylogenetic clustering based on differences in the loop sequences. Phylogenetic analysis of 52 G-quadruplex forming sequences in the Escherichia coli genome revealed two conserved G-quadruplex motifs with a potential regulatory role. Further analysis revealed that both motifs tend to form hairpins and G quadruplexes, as supported by circular dichroism studies. The phylogenetic analysis as described in this work can greatly improve the discovery of functional G-quadruplex structures and may explain unknown regulatory patterns.

Interdependence of pyrene interactions and tetramolecular G4-DNA assembly

Our results demonstrate the expanded capabilities of G-quadruplex DNAs for directed chromophore arrangements and show new perspectives in the design of G-quadruplexes governed by non-guanine moieties.

Assembly Dependent Fluorescence Enhancing Nucleic Acids in Sequence-Specific Detection of Double-Stranded DNA

Invited for this month's cover is the group of Dr. Vyacheslav V. Filichev from Massey University, New Zealand and a collaborator from the Instituto de Química Física Rocasalano, CSIC, Spain. The cover picture shows how a DNA strand that forms a highly stable G-quadruplex can be converted into an efficient DNA triplex-forming oligonucleotide by incorporating a pyrene intercalator into the sequence. Read the full text of the article at 10.1002/cplu.201300310.

Assembly Dependent Fluorescence Enhancing Nucleic Acids in Sequence-Specific Detection of Double-Stranded DNA

In this study the position of the thiazole orange derivative in triplex-forming oligonucleotides (TFOs) is varied and the fluorescence of the resulting complexes with DNA duplexes, single-stranded DNAs and RNAs are evaluated. Under similar conditions single attachment of the TO-dye to 2'-O-propargyl nucleotides in the TFOs (assembly dependent fluorescence enhancing nucleic acids, AFENA) led to probes with low fluorescent intensity in the single-stranded state with fluorescence quantum yield (Φ_F ) of 0.9 %-1.5 %. Significant increase in fluorescence intensity was detected after formation of DNA triplexes (Φ_F =23.5 %-34.9 %). Under similar conditions, Watson-Crick-type duplexes formed by the probes with single stranded (ss) RNA and ssDNA showed lower fluorescence intensities. Bugle insertions of twisted intercalating nucleic acid (TINA) monomers were shown to improve the fluorescent characteristics of GT/GA-containing antiparallel AFENA-TFOs. Self-aggregation of TFOs caused by guanosines was eliminated by TINA insertion which also promoted DNA triplex formation at pH 7.2. Importantly these AFENA-TINA-TFOs can bind to the duplex in the presence of complementary RNA at 37 °C.