Nucleotide RNA Research Articles

Long-read transcriptomics of Ostreid herpesvirus 1 uncovers a conserved expression strategy for the capsid maturation module and pinpoints a mechanism for evasion of the ADAR-based antiviral defence

Abstract Ostreid herpesvirus 1 (OsHV-1), a member of the family Malacoherpesviridae (order Herpesvirales), is a major pathogen of bivalves. However, the molecular details of the malacoherpesvirus infection cycle and its overall similarity to the replication of mammalian herpesviruses (family Orthoherpesviridae) remain obscure. Here, to gain insights into the OsHV-1 biology, we performed long read sequencing of infected blood clams, Anadara broughtonii, which yielded over one million OsHV-1 long reads. This data enabled the annotation of the viral genome with 78 gene units and 274 transcripts, of which 67 were polycistronic mRNAs, 35 ncRNAs and 20 natural antisense transcripts (NATs). Transcriptomics and proteomics data indicate preferential transcription and independent translation of the capsid scaffold protein as an OsHV-1 capsid maturation protease isoform. The conservation of this transcriptional architecture across Herpesvirales likely indicates its functional importance and ancient origin. Moreover, we traced RNA editing events using short read sequencing and supported the presence of inosine nucleotides in native OsHV-1 RNA, consistent with the activity of ADAR1. Our data suggests that, whereas RNA hyper-editing is concentrated in specific regions of the OsHV-1 genome, single nucleotide editing is more dispersed along the OsHV-1 transcripts. In conclusion, we reveal the existence of a conserved pan-Herpesvirales transcriptomic architecture of the capsid maturation module and uncover a transcription-based viral counter defence mechanism, which presumably facilitates the evasion of the host ADAR antiviral system.

Associations between clinical data, vaccination status, antibody responses, and post-COVID-19 symptoms in Thais infected with SARS-CoV-2 Delta and Omicron variants: a 1-year follow-up study

BackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), led to a global pandemic from 2020. In Thailand, five waves of outbreaks were recorded, with the fourth and fifth waves driven by the Delta and Omicron variants, resulting in over 20,000 new confirmed cases daily at their peaks.MethodsThis cross-sectional study investigated the associations between clinical symptoms, vaccination status, antibody responses, and post-COVID-19 sequelae in COVID-19 patients. Plasma samples and clinical data were collected from participants admitted to hospitals in Thailand between July 2021 and August 2022, with follow-ups conducted for one year. The study included 110 participants infected with either the Delta (n = 46) or Omicron (n = 64) variants. Virus genotypes were confirmed by RT-PCR of nasal swab RNA and partial nucleotide sequencing of the S gene. IgG and IgA antibody levels against the receptor-binding domain (RBD) of SARS-CoV-2 Delta and Omicron variants were measured in plasma samples using ELISA.ResultsPneumonia was found to be associated with Delta variant infections, while sore throat, congestion or runny nose, and headache were linked to Omicron infections. Vaccination with fewer than two doses and diabetes mellitus were significantly associated with higher disease severity. Specific IgG and IgA antibodies against the RBD of the Delta variant generally rose by day 14 and were maintained for up to two months, whereas the pattern of antibody response to the Omicron variant was less clear. Antibody risings were found to be positively associated with pneumonia, certain underlying conditions (obesity, hypertension, dyslipidemia, and diabetes mellitus), and age ≥ 60 years. Delta variant infections were associated with forgetfulness, hair loss, and headache during the 1-year post-infection period. Females were more likely to experience hair loss, forgetfulness, and joint pain, while older age was associated with joint pain.ConclusionsThis study enhances our understanding of SARS-CoV-2 infections in Thais, particularly concerning the Delta and Omicron variants. The findings can inform public health planning and response strategies for future outbreaks of SARS-CoV-2 or other emerging viral diseases.

Thg1 family 3'-5' RNA polymerases as tools for targeted RNA synthesis.

Members of the 3'-5' RNA polymerase family, comprised of tRNAHis guanylyltransferase (Thg1) and Thg1-like proteins (TLPs), catalyze templated synthesis of RNA in the reverse direction to all other known 5'-3' RNA and DNA polymerases. The discovery of enzymes capable of this reaction raised the possibility of exploiting 3'-5' polymerases for posttranscriptional incorporation of nucleotides to the 5'-end of nucleic acids without ligation, and instead by templated polymerase addition. To date, studies of these enzymes have focused on nucleotide addition to highly structured RNAs, such as tRNA and other noncoding RNAs. Consequently, general principles of RNA substrate recognition and nucleotide preferences that might enable broader application of 3'-5' polymerases have not been elucidated. Here, we investigated the feasibility of using Thg1 or TLPs for multiple nucleotide incorporation to the 5'-end of a short duplex RNA substrate, using a templating RNA oligonucleotide provided in trans to guide 5'-end addition of specific sequences. Using optimized assay conditions, we demonstrated a remarkable capacity of certain TLPs to accommodate short RNA substrate-template duplexes of varying lengths with significantly high affinity, resulting in the ability to incorporate a desired nucleotide sequence of up to eight bases to 5'-ends of the model RNA substrates in a template-dependent manner. This work has further advanced our goals to develop this atypical enzyme family as a versatile nucleic acid 5'-end labeling tool.

Hydroxyl radical-induced C1'-H abstraction reaction of different artificial nucleotides.

Recently, a few antiviral drugs viz Molnupiravir (EIDD-1931), Favipiravir, Ribavirin, Sofosbuvir, Galidesivir, and Remdesivir are shown to be beneficial against COVID-19 disease. These drugs bind to the viral RNA single strand to inhibit the virus genome replication. Similarly, recently, some artificial nucleotides, such as P, J, B, X, Z, V, S, and K were proposed to behave as potent antiviral candidates. However, their activity in the presence of the most reactive hydroxyl (OH) radical is not yet known. Here, the possibility of RNA strand break due to the OH radical-induced C1'-hydrogen (H) abstraction reaction of the above molecules (except Remdesivir) is studied in detail by considering their nucleotide conformation. The results are compared with those of the natural RNA nucleotides (G, C, A, and U). Due to low Gibbs barrier-free energy and high exothermicity,all these nucleotides (except Remdesivir) are prone to OH radical-inducedC1'-H abstraction reaction.As Remdesivir contains a C1'-CN bond,the OH radical substitution reactions at theCN and C1' siteswould likely liberate the catalytically important CN group, thereby downgrading its activity. Initially, the B3LYP-D3 dispersion-corrected density functional theory method and 6-31 + G* basis set were used to optimize all reactant, transition state, and product complexes in the implicit aqueous medium. Subsequently, the structures of these complexes were further optimized by using the ωB97X-D dispersion-corrected density functional theory method and cc-PVTZ basis set in the aqueous medium. The IEFPCM method was used to model the aqueous medium.

Predicting Small Molecule Binding Nucleotides in RNA Structures Using RNA Surface Topography.

RNA small molecule interactions play a crucial role in drug discovery and inhibitor design. Identifying RNA small molecule binding nucleotides is essential and requires methods that exhibit a high predictive ability to facilitate drug discovery and inhibitor design. Existing methods can predict the binding nucleotides of simple RNA structures, but it is hard to predict binding nucleotides in complex RNA structures with junctions. To address this limitation, we developed a new deep learning model based on spatial correlation, ZHmolReSTasite, which can accurately predict binding nucleotides of small and large RNA with junctions. We utilize RNA surface topography to consider the spatial correlation, characterizing nucleotides from sequence and tertiary structures to learn a high-level representation. Our method outperforms existing methods for benchmark test sets composed of simple RNA structures, achieving precision values of 72.9% on TE18 and 76.7% on RB9 test sets. For a challenging test set composed of RNA structures with junctions, our method outperforms the second best method by 11.6% in precision. Moreover, ZHmolReSTasite demonstrates robustness regarding the predicted RNA structures. In summary, ZHmolReSTasite successfully incorporates spatial correlation, outperforms previous methods on small and large RNA structures using RNA surface topography, and can provide valuable insights into RNA small molecule prediction and accelerate RNA inhibitor design.

Structural analysis of noncanonical translation initiation complexes

Translation initiation is a highly regulated, multi-step process that is critical for efficient and accurate protein synthesis. In bacteria, initiation begins when mRNA, initiation factors, and a dedicated initiator fMet-tRNAfMet bind the small (30S) ribosomal subunit. Specific binding of fMet-tRNAfMet in the peptidyl (P) site is mediated by the inspection of the fMet moiety by initiation factor IF2 and of three conserved G-C base pairs in the tRNA anticodon stem by the 30S head domain. Tandem A-minor interactions form between 16S ribosomal RNA nucleotides A1339 and G1338 and tRNA base pairs G30-C40 and G29-C41, respectively. Swapping the G30-C40 pair of tRNAfMet with C-G (called tRNAfMet M1) reduces discrimination against the noncanonical start codon CUG invitro, suggesting crosstalk between the gripping of the anticodon stem and recognition of the start codon. Here, we solved electron cryomicroscopy structures of Escherichia coli 70S initiation complexes containing the fMet-tRNAfMet M1 variant paired to the noncanonical CUG start codon, in the presence or absence of IF2 and the non-hydrolyzable GTP analog GDPCP, alongside structures of 70S initiation complexes containing this tRNAfMet variant paired to the canonical bacterial start codons AUG, GUG, and UUG. We find that the M1 mutation weakens A-minor interactions between tRNAfMet and 16S nucleotides A1339 and G1338, with IF2 strengthening the interaction of G1338 with the tRNA minor groove. These structures suggest how even slight changes to the recognition of the fMet-tRNAfMet anticodon stem by the ribosome can impact the start codon selection.

Rho-dependent transcriptional switches regulate the bacterial response to cold shock

Binding of the bacterial Rho helicase to nascent transcripts triggers Rho-dependent transcription termination (RDTT) in response to cellular signals that modulate mRNA structure and accessibility of Rho utilization (Rut) sites. Despite the impact of temperature on RNA structure, RDTT was never linked to the bacterial response to temperature shifts. We show that Rho is a central player in the cold-shock response (CSR), challenging the current view that CSR is primarily a posttranscriptional program. We identify Rut sites in 5'-untranslated regions of key CSR genes/operons (cspA, cspB, cspG, and nsrR-rnr-yjfHI) that trigger premature RDTT at 37°C but not at 15°C. High concentrations of RNA chaperone CspA or nucleotide changes in the cspA mRNA leader reduce RDTT efficiency, revealing how RNA restructuring directs Rho to activate CSR genes during the cold shock and to silence them during cold acclimation. These findings establish a paradigm for how RNA thermosensors can modulate gene expression.

Comparative analyses suggest a link between mRNA splicing, stability, and RNA covalent modifications in flowering plants

BackgroundIn recent years, covalent modifications on RNA nucleotides have emerged as pivotal moieties influencing the structure, function, and regulatory processes of RNA Polymerase II transcripts such as mRNAs and lncRNAs. However, our understanding of their biological roles and whether these roles are conserved across eukaryotes remains limited.ResultsIn this study, we leveraged standard polyadenylation-enriched RNA-sequencing data to identify and characterize RNA modifications that introduce base-pairing errors into cDNA reads. Our investigation incorporated data from three Poaceae (Zea mays, Sorghum bicolor, and Setaria italica), as well as publicly available data from a range of stress and genetic contexts in Sorghum and Arabidopsis thaliana. We uncovered a strong enrichment of RNA covalent modifications (RCMs) deposited on a conserved core set of nuclear mRNAs involved in photosynthesis and translation across these species. However, the cohort of modified transcripts changed based on environmental context and developmental program, a pattern that was also conserved across flowering plants. We determined that RCMs can partly explain accession-level differences in drought tolerance in Sorghum, with stress-associated genes receiving a higher level of RCMs in a drought tolerant accession. To address function, we determined that RCMs are significantly enriched near exon junctions within coding regions, suggesting an association with splicing. Intriguingly, we found that these base-pair disrupting RCMs are associated with stable mRNAs, are highly correlated with protein abundance, and thus likely associated with facilitating translation.ConclusionsOur data point to a conserved role for RCMs in mRNA stability and translation across the flowering plant lineage.

How Natural Enzymes and Synthetic Ribozymes Generate Methylated Nucleotides in RNA.

Methylation of RNA nucleotides represents an important layer of gene expression regulation, and perturbation of the RNA methylome is associated with pathophysiology. In cells, RNA methylations are installed by RNA methyltransferases (RNMTs) that are specialized to catalyze particular types of methylation (ribose or different base positions). Furthermore, RNMTs must specifically recognize their appropriate target RNAs within the RNA-dense cellular environment. Some RNMTs are catalytically active alone and achieve target specificity via recognition of sequence motifs and/or RNA structures. Others function together with protein cofactors that can influence stability, S-adenosyl-L-methionine binding, and RNA affinity as well as aiding specific recruitment and catalytic activity. Association of RNMTs with guide RNAs represents an alternative mechanism to direct site-specific methylation by an RNMT that lacks intrinsic specificity. Recently, ribozyme-catalyzed methylation of RNA has been achieved in vitro, and here, we compare these different strategies for RNA methylation from structural and mechanistic perspectives.

Mapping the Escherichia coli DnaA-binding landscape reveals a preference for binding pairs of closely spaced DNA sites.

DnaA is a widely conserved DNA-binding protein that is essential for the initiation of DNA replication in many bacterial species, including Escherichia coli. Cooperative binding of ATP-bound DnaA to multiple 9mer sites ('DnaA boxes') at the origin of replication results in local unwinding of the DNA and recruitment of the replication machinery. DnaA also functions as a transcription regulator by binding to DNA sites upstream of target genes. Previous studies have identified many sites of direct positive and negative regulation by E. coli DnaA. Here, we use a ChIP-seq to map the E. coli DnaA-binding landscape. Our data reveal a compact regulon for DnaA that coordinates the initiation of DNA replication with expression of genes associated with nucleotide synthesis, replication, DNA repair and RNA metabolism. We also show that DnaA binds preferentially to pairs of DnaA boxes spaced 2 or 3 bp apart. Mutation of either the upstream or downstream site in a pair disrupts DnaA binding, as does altering the spacing between sites. We conclude that binding of DnaA at almost all target sites requires a dimer of DnaA, with each subunit making critical contacts with a DnaA box.

Complete substitution with modified nucleotides in self-amplifying RNA suppresses the interferon response and increases potency.

The use of modified nucleotides to suppress the interferon response and maintain translation of self-amplifying RNA (saRNA), which has been achieved for mRNA, has not yet succeeded. We identify modified nucleotides that, when substituted at 100% in saRNA, confer innate immune evasion and robust long-term protein expression, and when formulated as a vaccine, protect against lethal SARS-CoV-2 challenge in mice. This discovery advances saRNA therapeutics by enabling prolonged protein expression at low doses.

PiRNA expression patterns in high vs. low fertility bovine sperm

PIWI-interacting RNAs (piRNAs) are 24–32 nucleotide RNA sequences primarily expressed in germ cells and developing embryos that suppress transposable element expression to protect genomic integrity during epigenetic reprogramming events. We characterized the expression of piRNA sequences and their encoding clusters in sperm samples from an idiopathic fertility model of Holstein bulls with high and low Sire Conception Rates. The piRNA populations were determined to be mostly similar between fertility conditions when investigated by principal component and differential expression analysis, suggesting that a high degree of conservation in the piRNA system is likely necessary for the production of viable sperm. Both fertility conditions demonstrated evidence of ‘ping-pong’ activity – a secondary biogenesis pathway associated with active transposable element targeting and suppression. Most sperm-borne piRNAs were between 29-30 nucleotides in length and originated from 226 clusters across the genome, with the exception of chromosome 20. Mapping analysis revealed abundant targeting of several transposable element families, suggesting a suppressive function of sperm piRNAs consistent with their established roles. Expression of genes targeted by sperm-borne piRNAs is significantly reduced throughout early embryogenesis compared to the mRNA population. Limited transposable element expression is known to be essential for spermatogenesis, thus epigenetic regulation of this pathway is likely to influence sperm quality and fertilizing capacity.

The cryoEM structure of the Hendra henipavirus nucleoprotein reveals insights into paramyxoviral nucleocapsid architectures

We report the first cryoEM structure of the Hendra henipavirus nucleoprotein in complex with RNA, at 3.5 Å resolution, derived from single particle analysis of a double homotetradecameric RNA-bound N protein ring assembly exhibiting D14 symmetry. The structure of the HeV N protein adopts the common bi-lobed paramyxoviral N protein fold; the N-terminal and C-terminal globular domains are bisected by an RNA binding cleft containing six RNA nucleotides and are flanked by the N-terminal and C-terminal arms, respectively. In common with other paramyxoviral nucleocapsids, the lateral interface between adjacent Ni and Ni+1 protomers involves electrostatic and hydrophobic interactions mediated primarily through the N-terminal arm and globular domains with minor contribution from the C-terminal arm. However, the HeV N multimeric assembly uniquely identifies an additional protomer-protomer contact between the Ni+1 N-terminus and Ni−1 C-terminal arm linker. The model presented here broadens the understanding of RNA-bound paramyxoviral nucleocapsid architectures and provides a platform for further insight into the molecular biology of HeV, as well as the development of antiviral interventions.

Abstract 3104: Adenine Base Editing To Correct Pathogenic Variants Causing Pseudoxanthoma Elasticum

Pseudoxanthoma elasticum (PXE) is a rare, autosomal recessive disorder caused by pathogenic variants in ABCC6 , resulting in systemic depletion of the anti-mineralization compound pyrophosphate. Pyrophosphate depletion drives ectopic calcification of elastic fibers within the skin, retina, and vasculature. Arterial calcification can lead to intermittent claudication of peripheral arteries and coronary artery disease. There are currently no targeted therapies for PXE. Genome editing may be a promising therapeutic option because ABCC6 is predominantly expressed in the liver, a site that is amenable to current genome editing delivery modalities. We sought to assess whether adenine base editing could efficiently correct one of the most frequent ABCC6 variants in PXE patients, c.3490C>T (p.R1164X) in human hepatocytes and a humanized mouse model. We used prime editing to generate a homozygous R1164X human hepatoma cell line. Treatment of R1164X cells with mRNA encoding the adenine base editor ABE8.8 and a synthetic guide RNA (gRNA) resulted in efficient correction of the variant. OligoNucleotide Enrichment and sequencing (ONE-seq) was used to nominate candidate off-target sites, which were evaluated by targeted amplicon sequencing of edited R1164X cells. To mitigate off-target editing, we generated 21 hybrid gRNAs in which various RNA nucleotides in the protospacer were replaced by DNA nucleotides. All hybrid gRNAs maintained on-target editing, and interestingly, several hybrid gRNAs improved on-target editing compared to the standard gRNA. All hybrid gRNAs improved off-target editing, with multiple hybrid gRNAs eliminating off-target editing at multiple off-target sites. To assess in vivo correction of the R1164X variant, we generated a homozygous R1164X humanized mouse model which displays depletion of plasma pyrophosphate. Studies to correct the variant in the humanized mouse model by lipid nanoparticle delivery of the lead candidate hybrid gRNA are underway. Efficient correction of the R1164X variant in the liver by adenine base editing and restoration of pyrophosphate would represent one of the first examples of using genome editing to improve the multisystemic manifestations of a heritable connective tissue disorder.

Прогнозування РНК, siRNA з подальшим визначенням імунологічної відповіді запропонованої вакцини (Vac534) проти COVID-19

Despite the decline in Coronavirus infections, care must be taken to avoid new mutations that allow the virus to escape vaccination and treatment. Viral RNA is responsible for virus replication and assembly in the host cell. Aim. The goal of this work was to predict the RNA secondary structure of the vaccination we developed before (Vac534). In addition, the degree of RNA overlaps while translating into ribosomes, refolding, and evaluating the protein immune response are all considered. Methods. Different immunobioinformatics tools and servers were utilized for analysis. RNA folding was executed through the application of RNAstructure 6.4 and RNAfold software. The unique sequence context led to the emergence of potential RNA structures at the site where ribosome binding occurs. A new method, C-IMMSIM, which relies on immune cell epitope prediction, was employed to gain fresh insights into comprehending the immune system. Results. А high probability of ≥ 99% is shown between nucleotides with the stability of loops and motifs of the RNA 2D structure. The predicted siRNA sequences, which were located in three places, were used to calculate total energy, self-folding, and a free end with a high accessibility score. RNA translation into the ribosome is required to determine the optimum direction of translation. The short docking fragment of 24 nucleotides of RNA (Vac534) generated six robust binds with MPRO at high energy. Conclusions. The immunological evaluation of the vaccination is critical for stimulating immune cells and detecting interleukins and cytokine production. This study is viewed as a step toward developing Coronavirus treatments. The number of loops and motifs is increasing, with a probability of above 99% for most sequences. The predicted siRNA sequences, which were located in three places, were used to calculate total energy, self-folding, and a free end with a high accessibility score.

Detecting m6A at single-molecular resolution via direct RNA sequencing and realistic training data.

Direct RNA sequencing offers the possibility to simultaneously identify canonical bases and epi-transcriptomic modifications in each single RNA molecule. Thus far, the development of computational methods has been hampered by the lack of biologically realistic training data that carries modification labels at molecular resolution. Here, we report on the synthesis of such samples and the development of a bespoke algorithm, mAFiA (m6A Finding Algorithm), that accurately detects single m6A nucleotides in both synthetic RNAs and natural mRNA on single read level. Our approach uncovers distinct modification patterns in single molecules that would appear identical at the ensemble level. Compared to existing methods, mAFiA also demonstrates improved accuracy in measuring site-level m6A stoichiometry in biological samples.

Genome editing and kidney health.

Genome editing technologies, clustered regularly interspaced short palindromic repeats (CRISPR)-Cas in particular, have revolutionized the field of genetic engineering, providing promising avenues for treating various genetic diseases. Chronic kidney disease (CKD), a significant health concern affecting millions of individuals worldwide, can arise from either monogenic or polygenic mutations. With recent advancements in genomic sequencing, valuable insights into disease-causing mutations can be obtained, allowing for the development of new treatments for these genetic disorders. CRISPR-based treatments have emerged as potential therapies, especially for monogenic diseases, offering the ability to correct mutations and eliminate disease phenotypes. Innovations in genome editing have led to enhanced efficiency, specificity and ease of use, surpassing earlier editing tools such as zinc-finger nucleases and transcription activator-like effector nucleases (TALENs). Two prominent advancements in CRISPR-based gene editing are prime editing and base editing. Prime editing allows precise and efficient genome modifications without inducing double-stranded DNA breaks (DSBs), while base editing enables targeted changes to individual nucleotides in both RNA and DNA, promising disease correction in the absence of DSBs. These technologies have the potential to treat genetic kidney diseases through specific correction of disease-causing mutations, such as somatic mutations in PKD1 and PKD2 for polycystic kidney disease; NPHS1, NPHS2 and TRPC6 for focal segmental glomerulosclerosis; COL4A3, COL4A4 and COL4A5 for Alport syndrome; SLC3A1 and SLC7A9 for cystinuria and even VHL for renal cell carcinoma. Apart from editing the DNA sequence, CRISPR-mediated epigenome editing offers a cost-effective method for targeted treatment providing new avenues for therapeutic development, given that epigenetic modifications are associated with the development of various kidney disorders. However, there are challenges to overcome, including developing efficient delivery methods, improving safety and reducing off-target effects. Efforts to improve CRISPR-Cas technologies involve optimizing delivery vectors, employing viral and non-viral approaches and minimizing immunogenicity. With research in animal models providing promising results in rescuing the expression of wild-type podocin in mouse models of nephrotic syndrome and successful clinical trials in the early stages of various disorders, including cancer immunotherapy, there is hope for successful translation of genome editing to kidney diseases.

Single-molecule epitranscriptomic analysis of full-length HIV-1 RNAs reveals functional roles of site-specific m6As

Although the significance of chemical modifications on RNA is acknowledged, the evolutionary benefits and specific roles in human immunodeficiency virus (HIV-1) replication remain elusive. Most studies have provided only population-averaged values of modifications for fragmented RNAs at low resolution and have relied on indirect analyses of phenotypic effects by perturbing host effectors. Here we analysed chemical modifications on HIV-1 RNAs at the full-length, single RNA level and nucleotide resolution using direct RNA sequencing methods. Our data reveal an unexpectedly simple HIV-1 modification landscape, highlighting three predominant N6-methyladenosine (m6A) modifications near the 3′ end. More densely installed in spliced viral messenger RNAs than in genomic RNAs, these m6As play a crucial role in maintaining normal levels of HIV-1 RNA splicing and translation. HIV-1 generates diverse RNA subspecies with distinct m6A ensembles, and maintaining multiple of these m6As on its RNAs provides additional stability and resilience to HIV-1 replication, suggesting an unexplored viral RNA-level evolutionary strategy.

Switching from combination therapy with entecavir hydrate plus tenofovir alafenamide fumarate to tenofovir alafenamide fumarate monotherapy in patients with chronic hepatitisB based on nucleotide sequences of hepatitisB virus pregenome RNA.

Patients with chronic hepatitisB virus (HBV) infection experiencing viral breakthrough (BTH) or partial response (PR) during lamivudine (LAM) or entecavir hydrate (ETV) administration often took ETV plus tenofovir alafenamide fumarate (TAF) due to the emergence of a drug-resistance mutation. However, in patients lacking drug-resistance mutation against TAF, sufficient antiviral effects may be achievable with TAF monotherapy. We assessed the drug-resistance profile through nucleotide sequences of HBV pregenome RNA, and subsequently changed to TAF monotherapy from ETV plus TAF. This prospective study included 25 patients with serum HBV-DNA below 20IU/mL under ETV plus TAF administration. Pregenome RNA nucleotide sequences of HBV in the sera were analyzed using direct sequencing and deep sequencing. ETV was discontinued in patients without rtA194T and rtS106C+rtH126Y +rtD134E +rtL269I quadruple mutations in direct sequencing. LAM-PR, LAM-BTH, ETV-PR, and ETV-BTH were observed in 1, 16, 7, and 1 patient(s), respectively. Pregenome RNA nucleotide sequences were analyzable in 20 patients. Among the 12 patients classified as LAM-BTH, six patients showed rtL180M+rtM204V/I in direct sequencing, and one patient showed minor clones containing rtL180M+rtM204V+A194T in deep sequencing at a frequency of 0.3%. In the six patients classified as ETV-PR, one patient harbored rtM204I. No clones showing rtS106C+rtH126Y+rtD134E+rtL269I quadruple mutation were detected in deep sequencing. Subsequently, ETV was discontinued, and serum HBV-DNA remained undetectable up to 48weeks in all patients. Patients receiving ETV plus TAF due to partial response or BTH during initial LAM or ETV administration were able to safely transition to TAF monotherapy based on nucleotide sequences of HBV pregenome RNA in the sera.

Electrochemical genosensor based on RNA-responsive human telomeric G-quadruplex DNA: A proof-of-concept with SARS-CoV-2 RNA

In this report, a facile and label-free electrochemical RNA biosensor is developed by exploiting methylene blue (MB) as an electroactive positive ligand of G-quadruplex. The electrochemical response mechanism of the nucleic acid assay was based on the change in differential pulse voltammetry (DPV) signal of adsorbed MB on the immobilized human telomeric G-quadruplex DNA with a loop that is complementary to the target RNA. Hybridization between synthetic positive control RNA and G-quadruplex DNA probe on the transducer platform rendered a conformational change of G-quadruplex to double-stranded DNA (dsDNA), and increased the redox current of cationic MB π planar ligand at the sensing interface, thereby the electrochemical signal of the MB-adsorbed duplex is proportional to the concentration of target RNA, with SARS-CoV-2 (COVID-19) RNA as the model. Under optimal conditions, the target RNA can be detected in a linear range from 1 zM to 1 μM with a limit of detection (LOD) obtained at 0.59 zM for synthetic target RNA and as low as 1.4 copy number for positive control plasmid. This genosensor exhibited high selectivity towards SARS-CoV-2 RNA over other RNA nucleotides, such as SARS-CoV and MERS-CoV. The electrochemical RNA biosensor showed DPV signal, which was proportional to the 2019-nCoV_N_positive control plasmid from 2 to 200000 copies (R2 = 0.978). A good correlation between the genosensor and qRT-PCR gold standard was attained for the detection of SARS-CoV-2 RNA in terms of viral copy number in clinical samples from upper respiratory specimens.