Efficient Expression Research Articles

Establishment of an RNA-based transient expression system in the green alga Chlamydomonas reinhardtii

Chlamydomonas reinhardtii, a unicellular green alga, is a prominent model for green biotechnology and for studying organelles’ function and biogenesis, such as chloroplasts and cilia. However, the stable expression of foreign genes from the nuclear genome in C. reinhardtii faces several limitations, including low expression levels and significant differences between clones due to genome position effects, epigenetic silencing, and time-consuming procedures. We developed a robust transient expression system in C. reinhardtii to overcome these limitations. We demonstrated efficient entry of in vitro-transcribed mRNA into wall-less cells and enzymatically dewalled wild-type cells via electroporation. The endogenous or exogenous elements can facilitate efficient transient expression of mRNA in C. reinhardtii, including the 5’ UTR of PsaD and the well-characterized Kozak sequence derived from the Chromochloris zofingiensis. In the optimized system, mRNA expression was detectable in 120 h with a peak around 4 h after transformation. Fluorescently tagged proteins were successfully transiently expressed, enabling organelle labeling and real-time determination of protein sub-cellular localization. Remarkably, transiently expressed IFT46 compensated for the ift46–1 mutant phenotype, indicating the correct protein folding and function of IFT46 within the cells. Additionally, we demonstrated the feasibility of our system for studying protein-protein interactions in living cells using bimolecular fluorescence complementation. In summary, the established transient expression system provides a powerful tool for investigating protein localization, function, and interactions in C. reinhardtii within a relatively short timeframe, which will significantly facilitate the study of gene function, genome structure, and green biomanufacturing in C. reinhardtii and potentially in other algae.

Kinematic Hopf algebra and Bern-Carrasco-Johansson numerators at finite α′

We significantly extend recent work on the kinematic Hopf algebra, a structure that was shown to underlie the color-kinematics duality in Yang-Mills (YM) theory coupled to two heavy scalars, known as the heavy-mass effective theory (HEFT) limit. First, staying in the HEFT limit, we show the same kinematic Hopf algebra can be used to obtain Bern-Carrasco-Johansson (BCJ) numerators in DF2+YM theory, a theory containing an infinite number of higher derivative corrections to YM, used to obtain string amplitudes via the double copy. Second, we exploit the intricate structure induced by the massive poles to obtain an efficient and direct expression for local BCJ numerators in pure YM based on the same kinematic Hopf algebra. This demonstrates that the kinematic Hopf algebra works even beyond the HEFT limit, strongly suggesting this structure universally underlies the color-kinematics duality. Published by the American Physical Society 2024

Performance of massive MIMO‐NOMA systems with low complexity group SIC receivers and low‐resolution ADCs

AbstractMassive multiple‐input multiple‐output and non‐orthogonal multiple access (MIMO‐NOMA) with low‐resolution analog‐to‐digital converters (ADCs) have been widely considered for the next‐generation wireless communication systems. However, the performance of the system including power‐scaling law has not been well investigated for the practical low complexity receivers. Employing the additive quantization noise model, we derive asymptotic approximate expressions of the spectrum efficiency for the system with group successive interference cancellation (GSIC) receivers over Rician fading channels. Based on these approximations, we conduct a unified asymptotic analysis for the system with linear, SIC, and GSIC receivers. The analysis reveals the transmission power can be scaled by the number of antennas for the system with GSIC receivers and shows the effects of crucial parameters including the number of groups, resolution bits, and antennas on the performance. Given a quality of service, the minimum data transmission power is also calculated for each user and the corresponding approximate power allocation is derived. The asymptotic analysis and the accuracy of the power allocation approximation are then verified by simulation results. Numerical results also demonstrate that high spectrum efficiency and energy efficiency can be achieved by the system with medium‐resolution ADCs and low complexity maximum ratio combining‐GSIC receivers with a small number of groups.

A promoter-RBS library for fine-tuning gene expression in Methanosarcina acetivorans.

Methanogenic archaea are potent producers of the greenhouse gas methane and thus contribute substantially to global warming. Under controlled conditions, these microbes can catalyze the production of biogas, which is a renewable fuel, and might help counter global warming and its effects. Engineering the primary metabolism of Methanosarcina acetivorans to render it better and more useful requires controllable gene expression, yet only a few well-characterized promoters and RBSs are presently available. Our study rectifies this situation by providing a library of 33 different promoter-RBS combinations with a 140-fold dynamic range in expression strength. Future metabolic engineering projects can take advantage of this library by using these promoter-RBS combinations as an efficient and tunable gene expression system for M. acetivorans. Furthermore, the methodologies we developed in this study could also be utilized to construct promoter libraries for other types of methanogens.

The power control and efficiency optimization strategy of dynamic wireless charging system for multiple electric vehicles

PurposeThis study aims to solve the problem that both the speed and the required driving power of electric vehicles (EVs) will change during the dynamic wireless charging (DWC) process, making it difficult to charge EVs with a constant power considering the overall efficiency of DWC system, the numbers of EVs and the power supply capacity. Therefore, this paper proposes the power control and efficiency optimization strategies for multiple EVs.Design/methodology/approachThe wireless power charging system for multiple loads with a structure of double-sided LCC compensation topology is established. The expressions of optimal transmission efficiency and optimal equivalent impedance are derived. Taking the Tesla Model 3 as an example, a method to determine the number of EVs allowed by one transmitter coil and the overall charging power is proposed considering EV speed, power supply capacity, safe braking distance and overall efficiency. Then, the power control strategy, which can adapt to the changes of EV speed and the efficiency optimization strategy under different numbers of EVs are proposed.FindingsIn this paper, a method to determine the numbers of EVs allowed by one transmitter coil and the overall charging power is proposed considering EVs speed, power supply capacity, safe braking distance and overall efficiency. The accuracy of the charging power is good enough and the overall efficiency reaches a maximum of 91.79% when the load resistance changes from 5Ω to 20Ω.Originality/valueIn this paper, the power control and efficiency optimization strategy of DWC system for multiple EVs are proposed. Specifically, a method of designing the number of EVs and charging power allowed by one transmitter coil considering the factors of EV speed, power supply capacity, safe braking distance and overall efficiency is designed. The overall efficiency of the experiment reaches a maximum of 91.79% after adopting the optimization strategy.

Computational modeling study of IL-15-NGR peptide fusion protein: a targeted therapeutics for hepatocellular carcinoma

The primary challenge to improving existing cancer treatment is to develop drugs that specifically target tumor cell. NGR peptide is tumor homing peptide that selectively target cancer cells while interleukin 15 is a pleiotropic cytokine with anticancer properties. This study computationally engineered a IL15-NGR fusion peptide by linking the homing peptide NGR with the targeting peptide IL-15. After evaluating and validating the chimeric peptide, we docked it to the IL-15Rα/IL-15Rβ/γc heterodimer receptor, examining the interactions and binding energy and lastly, molecular dynamics simulations were performed. The secondary and tertiary structures, along with physicochemical properties of the designed IL-15-NGR chimeric protein, were predicted using GOR IV, trRosetta and ProtParam online servers respectively. The quality and 3D structure validation were confirmed via ProSA-web and SAVES 6.0 analysis which predicted an ERRAT score of 96.72%, with 97.6% of residues in the Ramachandran plot, validating its structure. Finally, Docking, MD simulations and interaction analysis were performed using ClusPro 2.0 and GROMACS and PDBsum, which exhibited significant hydrogen bonding and salt bridges, confirming the formation of a stable docked complex. These results were further corroborated by simulation analysis, which demonstrated a stable and dynamic behavior of the docked complex in a biological environment. The predicted high expression value of fusion protein was 0.844 in E.coli using SOLUPROT tool. These findings suggest efficient expression of the IL15-NGR fusion protein if its gene is inserted into E. coli and indicates its potential as a safe and effective anticancer treatment, paving the way for targeted therapeutic interventions.Graphical abstract

Biodegradable silica nanoparticles for efficient linear DNA gene delivery

Targeting, safety, scalability, and storage stability of vectors are still challenges in the field of nucleic acid delivery for gene therapy. Silica-based nanoparticles have been widely studied as gene carriers, exhibiting key features such as biocompatibility, simplistic synthesis, and enabling easy surface modifications for targeting. However, the ability of the formulation to incorporate DNA is limited, which restricts the number of DNA molecules that can be incorporated into the particle, thereby reducing gene expression. Here we use polymerase chain reaction (PCR)-generated linear DNA molecules to augment the coding sequences of gene-carrying nanoparticles, thereby maximizing nucleic acid loading and minimizing the size of these nanocarriers. This approach results in a remarkable 16-fold increase in protein expression six days post-transfection in cells transfected with particles carrying the linear DNA compared with particles bearing circular plasmid DNA. The study also showed that the use of linear DNA entrapped in DNA@SiO2 resulted in a much more efficient level of gene expression compared to standard transfection reagents. The system developed in this study features simplicity, scalability, and increased transfection efficiency and gene expression over existing approaches, enabled by improved embedment capabilities for linear DNA, compared to conventional methods such as lipids or polymers, which generally show greater transfection efficiency with plasmid DNA. Therefore, this novel methodology can find applications not only in gene therapy but also in research settings for high-throughput gene expression screenings.

Optimizing Facial Expression Recognition with Biogeography-Based Feature Selection

Facial expression recognition is a challenging research field in computer vision due to various issues such as occlusion, lighting conditions, camera pose angles, and the selection of relevant features. Extracting and selecting pertinent features from facial images is crucial in achieving efficient expression recognition. This paper proposes a metaheuristic-based feature selection and classification methodology using the Biogeography-Based Optimization (BBO) algorithm to select the best-performing features and optimize the recognition accuracy of the classifier. The cross-validation recognition accuracy of the Support Vector Machine (SVM) is used as the evaluation criterion in the BBO algorithm to choose the optimal feature subset from the extracted features. The performance of the proposed BBO-SVM feature selection model is compared with other filter-based approaches. Experiments are conducted on three publicly available databases: JAFFE, MUG, and CK+, to validate the performance of the proposed system. The model achieves promising recognition accuracy across all datasets, with results compared to similar works presented in the literature.

Development of a 2A peptide-based multigene expression system and its application for enhanced production of ganoderic acids in Ganoderma lucidum

Ganoderma has received much attention for its medicinal value, but the manipulation of multiple genes remains a challenge, hindering the genetic engineering of this species for the development of cell factories. Here, we first showed that the presence of an intron is necessary for the efficient expression of the endogenous cDNA of carboxin-resistant gene (cbx) in G. lucidum. Then, the self-cleaving function of 2 A peptide was investigated in G. lucidum by linking cbx cDNA to the codon-optimized hygromycin B-resistant gene (ophph) using the 2A-peptide sequence. The results showed that cbx cDNA and ophph can be successfully expressed in G. lucidum in a bicistronic manner from a single transcript. Moreover, the expression of both genes was not affected by the order within the 2 A cassette. In addition, simultaneous expression of cbx cDNA, ophph, and codon-optimized yellow fluorescent protein gene (opyfp) was conducted for the first time in G. lucidum using the 2 A peptide-based approach. The developed method was successfully applied to express both cDNA of the 3-hydroxy-3-methylglutaryl coenzyme A reductase (hmgr) and squalene epoxidase gene (se) for enhanced production of ganoderic acids (GAs) in G. lucidum. The engineered strain produced the maximum content of GA-Mk, GA-T, GA-S, and GA-Me were 26.56±3.53,39.58±3.75, 16.54±2.16, and 19.1±1.87 μg/100 mg dry weight, respectively. These values were 3.85-, 4.74-, 3.65-, and 3.23-fold higher than those produced by the control strain. The developed method will be useful for the manipulation of complex metabolic or regulatory pathways involving multiple genes in Ganoderma.

Circular RNA-based neoantigen vaccine for hepatocellular carcinoma immunotherapy.

mRNA vaccines are regarded as a highly promising avenue for next-generation cancer therapy. Nevertheless, the intricacy of production, inherent instability, and low expression persistence of linear mRNA significantly restrict their extensive utilization. Circular RNAs (circRNAs) offer a novel solution to these limitations due to their efficient protein expression ability, which can be rapidly generated in vitro without the need for extra modifications. Here, we present a novel neoantigen vaccine based on circRNA that induces a potent anti-tumor immune response by expressing hepatocellular carcinoma-specific tumor neoantigens. By cyclizing linearRNA molecules, we were able to enhance the stability of RNA vaccines and form highly stable circRNA molecules with the capacity for sustained protein expression. We confirmed that neoantigen-encoded circRNA can promote dendritic cell (DC) activation and enhance DC-induced T-cell activation in vitro, thereby enhancing T-cell killing of tumor cells. Encapsulating neoantigen-encoded circRNA within lipid nanoparticles for in vivo expression has enabled the creation of a novel circRNA vaccine platform. This platform demonstrates superior tumor treatment and prevention in various murine tumor models, eliciting a robust T-cell immune response. Our circRNA neoantigen vaccine offers new options and application prospects for neoantigen immunotherapy in solid tumors.

Efficient heterologous expression of cellobiose 2-epimerase gene in Escherichia coli under the control of T7 lac promoter without addition of IPTG and lactose

In this study, the cellobiose 2-epimerase gene csce from Caldicellulosiruptor saccharolyticus was expressed in Escherichia coli using TB medium containing yeast extract Oxoid and tryptone Oxoid. Interesting, it was found that when the concentration of isopropyl-beta-d-thiogalactopyranoside (IPTG) and lactose was 0 (no addition), the activity of cellobiose 2-epimerase reached 5.88 U/mL. It was 3.70-fold higher than the activity observed when 1.0 mM IPTG was added. When using M9 medium without yeast extract Oxoid and tryptone Oxoid, cellobiose 2-epimerase gene could not be expressed without IPTG and lactose. However, cellobiose 2-epimerase gene could be expressed when yeast extract Oxoid or tryptone Oxoid was added, indicating that these supplements contained inducers for gene expression. In the absence of IPTG and lactose, the addition of soy peptone Angel-1 or yeast extract Angel-1 to M9 medium significantly upregulated the expression of cellobiose 2-epimerase gene in E. coli BL21 pET28a-csce, and these inductions led to higher expression levels compared to tryptone Oxoid or yeast extract Oxoid. The relative transcription level of csce was consistent with its expression level in E. coli BL21 pET28a-csce. In the medium TB without IPTG and lactose and containing yeast extract Angel-1 and soy peptone Angel-1, the activity of cellobiose 2-epimerase reached 6.88 U/mL, representing a 2.2-fold increase compared to previously reported maximum activity in E. coli. The significance of this study lies in its implications for efficient heterologous expression of recombinant enzyme proteins in E. coli without the need for IPTG and lactose addition.

Efficient expression of OUC-Sb-lip2 in Yarrowia lipolytica and its comprehensive utilization in the enrichment of DHA and EPA from fish oil

Lipases are widely used in the modification of functional lipids, particularly in the enrichment of docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA). In this study, a lipase named OUC-Sb-lip2 was expressed in Yarrowia lipolytica, achieving a promising enzyme activity of 472.6 U/mL by optimizing the culture medium, notably through olive oil supplementation. A significant proportion (58.8%) of the lipase activity was located in the cells, whereas 41.2% was secreted into the supernatant. Both whole-cell and immobilized OUC-Sb-lip2 were used to enrich DHA and EPA from fish oil. The whole-cell approach increased the DHA and EPA contents to 2.59 and 2.55 times that of the original oil, respectively. Similarly, the immobilized OUC-Sb-lip2 resulted in a 2.00-fold increase in DHA and an 1.99-fold increase in EPA after a 6-h hydrolysis period. Whole cell and the immobilized OUC-Sb-lip2 retained 48.7% and 52.7% of their activity after six cycles of reuse, respectively.

Construction of an expression platform for fungal secondary metabolite biosynthesis in Penicillium crustosum

Filamentous fungi are prolific producers of bioactive natural products and play a vital role in drug discovery. Yet, their potential cannot be fully exploited since many biosynthetic genes are silent or cryptic under laboratory culture conditions. Several strategies have been applied to activate these genes, with heterologous expression as one of the most promising approaches. However, successful expression and identification of new products are often hindered by host-dependent factors, such as low gene targeting efficiencies, a high metabolite background, or a lack of selection markers. To overcome these challenges, we have constructed a Penicillium crustosum expression host in a pyrG deficient strain by combining the split-marker strategy and CRISPR-Cas9 technology. Deletion of ligD and pcribo improved gene targeting efficiencies and enabled the use of an additional selection marker in P. crustosum. Furthermore, we reduced the secondary metabolite background by inactivation of two highly expressed gene clusters and abolished the formation of the reactive ortho-quinone methide. Finally, we replaced the P. crustosum pigment gene pcr4401 with the commonly used Aspergillus nidulans wA expression site for convenient use of constructs originally designed for A. nidulans in our P. crustosum host strain. As proof of concept, we successfully expressed a single polyketide synthase gene and an entire gene cluster at the P. crustosum wA locus. Resulting transformants were easily detected by their albino phenotype. With this study, we provide a highly efficient platform for heterologous expression of fungal genes.Key pointsConstruction of a highly efficient Penicillium crustosum heterologous expression hostReduction of secondary metabolite background by genetic dereplication strategyIntegration of wA site to provide an alternative host besides Aspergillus nidulansGraphical

Ornaments for efficient allele-specific expression estimation with bias correction

Allele-specific expression plays a crucial role in unraveling various biological mechanisms, including genomic imprinting and gene expression controlled by cis-regulatory variants. However, existing methods for quantification from RNA-sequencing (RNA-seq) reads do not adequately and efficiently remove various allele-specific read mapping biases, such as reference bias arising from reads containing the alternative allele that do not map to the reference transcriptome or ambiguous mapping bias caused by reads containing the reference allele that map differently from reads containing the alternative allele. We present Ornaments, a computational tool for rapid and accurate estimation of allele-specific transcript expression at unphased heterozygous loci from RNA-seq reads while correcting for allele-specific read mapping biases. Ornaments removes reference bias by mapping reads to a personalized transcriptome and ambiguous mapping bias by probabilistically assigning reads to multiple transcripts and variant loci they map to. Ornaments is a lightweight extension of kallisto, a popular tool for fast RNA-seq quantification, that improves the efficiency and accuracy of WASP, a popular tool for bias correction in allele-specific read mapping. In experiments with simulated and human lymphoblastoid cell-line RNA-seq reads with the genomes of the 1000 Genomes Project, we demonstrate that Ornaments improves the accuracy of WASP and kallisto, is nearly as efficient as kallisto, and is an order of magnitude faster than WASP per sample, with the additional cost of constructing a personalized index for multiple samples. Additionally, we show that Ornaments finds imprinted transcripts with higher sensitivity than WASP, which detects imprinted signals only at gene level.

P4Rex: Accelerating regular expression matching with programmable switches

Regular expression matching is pivotal in numerous network applications. With the ever-increasing scale of data center traffic, deploying regular expression matching modules on traditional servers struggles to meet throughput demands. Emerging programmable switches have brought new prospects for high-speed pattern matching. However, deploying regular expression matching onto programmable switches presents the challenge of space explosion incurred by compiling regular expressions into a Deterministic Finite Automata (DFA). In this paper, we introduce P4Rex, a regular expression matching system designed for programmable switches. P4Rex synergistically leverages two following techniques: an efficient regular expression grouping algorithm that partitions regular expressions into different groups to reduce memory consumption, and DFA compression technology to achieve transition sharing. Experimental results demonstrate that P4Rex exhibits an average improvement of 17% and maximum improvement of 30% on memory consumption compared to prior regular expression grouping schemes and saves more than 10x memory consumption compared to deploying DFA directly on programmable switch.

Stop Codon Usage of Three Gene Families in Selected Medical Insects, and their Phylogenetic Relationships

Medical insects pose significant health risks, transmitting disease causing agents with significant morbidity and mortality globally. Understanding their genetic composition and evolutionary relationship is crucial to developing control techniques to combat them. This study aims to compare the stop codon usage of gustatory, odorant and kinase genes, and assess their use as markers for evaluating the phylogenetic relationship between selected medical insects. Fifteen genes from three gene families including gustatory receptors, odorant receptors, and kinases were studied in thirty-four insect species. Gene and transcript sequences were retrieved from Ensembl Metazoa database. The stop codon usage was obtained by identifying the stop codon present at the end of the transcript sequences. Multiple sequence alignment of the gene sequences was performed and phylogenetic trees were computed. There were variations in the stop codon usage across the different insect species. The odorant receptor and kinase genes grouped the insects into two major clusters. The stop codon usage highlighted the variation within and among the species. The phylogenetic analysis results supported existing insect classification. These approaches could be considered for phylogenetic analyses of other arthropod groups. Accurate measurement of stop codon usage will be important for understanding natural selection, the genetic variation of coding sequences of genes, and useful in design of more efficient expression constructs in gene-editing techniques for vector control.

Impact of the interaction between herpes simplex virus 1 ICP22 and FACT on viral gene expression and pathogenesis.

Facilitates chromatin transcription (FACT) interacts with nucleosomes to promote gene transcription by regulating the dissociation and reassembly of nucleosomes downstream and upstream of RNA polymerase II (Pol II). A previous study reported that herpes simplex virus 1 (HSV-1) regulatory protein ICP22 interacted with FACT and was required for its recruitment to the viral DNA genome in HSV-1-infected cells. However, the biological importance of interactions between ICP22 and FACT in relation to HSV-1 infection is unclear. Here, we mapped the minimal domain of ICP22 required for its efficient interaction with FACT to a cluster of five basic amino acids in ICP22. A recombinant virus harboring alanine substitutions in this identified cluster led to the decreased accumulation of viral mRNAs from UL54, UL38, and UL44 genes, reduced Pol II occupancy of these genes in MRC-5 cells, and impaired HSV-1 virulence in mice following ocular or intracranial infection. Furthermore, the treatment of mice infected with wild-type HSV-1 with CBL0137, a FACT inhibitor currently being investigated in clinical trials, significantly improved the survival rate of mice. These results suggested that the interaction between ICP22 and FACT was required for efficient HSV-1 gene expression and pathogenicity. Therefore, FACT might be a potential therapeutic target for HSV-1 infection.IMPORTANCEICP22 is a well-known regulatory factor of HSV-1 gene expression, but its mechanism(s) are poorly understood. Although the interaction of FACT with ICP22 was reported previously, its significance in HSV-1 infection is unknown. Given that FACT is involved in gene transcription, it is of interest to investigate this interaction as it relates to HSV-1 gene expression. To determine a direct link between the interaction and HSV-1 infection, we mapped a minimal domain of ICP22 required for its efficient interaction with FACT and generated a recombinant virus carrying mutations in the identified domain. Using the recombinant virus, we obtained evidence suggesting that the interaction between ICP22 and FACT promoted Pol II transcription from HSV-1 genes and viral virulence in mice. In addition, CBL0137, an inhibitor of FACT, effectively protected mice from lethal HSV-1 infection, suggesting FACT might be a potential target for the development of novel anti-HSV drugs.

Efficient Secretory Expression and Purification on Three Insoluble Amidohydrolases for Ochratoxin A Hydrolysis by Pichia pastoris.

As a highly toxic mycotoxin, ochratoxin A (OTA) is widely contaminating agricultural products and has various toxicological effects. Bioenzymes for OTA degradation have shown promising potential for detoxification. Other than the efficient amidohydrolase ADH3 previously, two novel amidohydrolases ADH1 and AMD3 were obtained in this study. During Escherichia coli expression, the expressed protein solubility was very low and will limit future industrial application. Here, high copy number integrations were screened, and the amidohydrolases were efficiently secretory expressed by Pichia pastoris GS115. The protein yields from 1.0 L of fermentation supernatant were 53.5 mg for ADH1, 89.15 mg for ADH3, and 79.5 mg for AMD3. The catalytic efficiency (Kcat/Km) of secretory proteins was 124.95 s-1 mM-1 for ADH3, 123.21 s-1 mM-1 for ADH1, and 371.99 s-1 mM-1 for AMD3. In comparison to E. coli expression, the active protein yields substantially increased 15.78-51.53 times. Meanwhile, two novel amidohydrolases (ADH1 and AMD3) showed much higher activity than ADH3 that produced by secretory expression.

Structural proteomics guided annotation of vaccine targets and designing of multi-epitopes vaccine to instigate adaptive immune response against Francisella tularensis

Francisella tularensis can cause severe disease in humans via the respiratory or cutaneous routes and a case fatality ratio of up to 10 % is reported due to lack of proper antibiotic treatment, while F. novicida causes disease in severely immunocompromised individuals. Efforts are needed to develop effective vaccine candidates against Francisella species. Thus, in this study, a systematic computational work frame was used to deeply investigate the whole proteome of Francisella novicida containing 1728 proteins to develop vaccine against F. tularensis and related species. Whole-proteome analysis revealed that four proteins including (A0Q492) (A0Q7Y4), (A0Q4N4), and (A0Q5D9) are the suitable vaccine targets after the removal of homologous, paralogous and prediction of subcellular localization. These proteins were used to predict the T cell, B cell, and HTL epitopes which were joined together through suitable linkers to construct a multi-epitopes vaccine (MEVC). The MEVC was found to be highly immunogenic and non-allergenic while the physiochemical properties revealed the feasible expression and purification. Moreover, the molecular interaction of MEVC with TLR2, molecular simulation, and binding free energy analyses further validated the immune potential of the construct. According to Jcat analysis, the refined sequence demonstrates GC contents of 41.48 % and a CAI value of 1. The in-silico cloning and optimization process ensured compatibility with host codon usage, thereby facilitating efficient expression. Computational immune simulation studies underscored the capacity of MEVC to induce both primary and secondary immune responses. The conservation analysis further revealed that the selected epitopes exhibit 100 % conservation across different species and thus provides wider protection against Francisella.

Josephson diode effect in a ballistic single-channel nanowire

When time-reversal and inversion symmetry are broken, superconducting circuits may exhibit a so-called diode effect, where the critical currents for opposite directions of the current flow differ. In recent years, this effect has been observed in a multitude of systems, and the different physical ingredients that may yield such an effect are well understood. On a microscopic level, the interplay between spin–orbit coupling and a Zeeman field may give rise to a diode effect in a single Josephson junction. However, so far, there is no analytical description of the effect within a simple model. Here, we study a single-channel nanowire with Rashba spin–orbit coupling and in the presence of a Zeeman field. We show that the different Fermi velocities and spin projections of the two pseudo-spin bands lead to a diode effect. Simple analytical expressions for the diode efficiency can be obtained in limiting cases.