Identification of promising CD8 and CD4 T cell epitopes for peptide vaccine formulation against SARS-CoV-2.

The novel virus "severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)" has been responsible for the worldwide pandemic causing huge devastation and deaths since December 2019. The disease caused by this virus is known as COVID-19. The present study is based on immuno-informatics approach to develop a multi-epitope-loaded peptide vaccine to combat the COVID-19 menace. Here, we have reported the 9-mer CD8 T cell epitopes and 15-mer CD4 T cell epitopes, free from glycosylation sites, belonging to three proteins, viz. surface glycoprotein, membrane glycoprotein and envelope protein of this virus. Immunogenicity, aliphatic amino acid, antigenicity and hydrophilicity scores of the predicted epitopes were estimated. In addition, other physicochemical parameters, namely net charge, Boman index and amino acid contents, were also accounted. Out of all the epitopes, three CD8 T cell epitopes viz. PDPSKPSKR, DPSKPSKRS and QTQTNSPRR and three CD4 T cell epitopes viz. ASYQTQTNSPRRARS, RIGNYKLNTDHSSSS and RYRIGNYKLNTDHSS were found to be efficient targets for raising immunity in human against this virus. With the help of our identified potent epitopes, various pharma industries might initiate efforts to incorporate those epitopes with carrier protein or adjuvant to develop a multi-epitope-loaded peptide vaccine against SARS-CoV-2. The peptide vaccines are usually cost-effective and therefore, could be administered as a preventive measure to combat the spread of this disease. Proper clinical trials must be conducted prior to the use of identified epitopes as vaccine candidates.

Composition, codon usage pattern, protein properties, and influencing factors in the genomes of members of the family Anelloviridae.

The present study was carried out on 62 genome sequences of members of the family Anelloviridae, as there have been no reports of genome analysis of these DNA viruses using a bioinformatics approach. The genes were found to be rich in AC content with low codon usage bias (CUB). Relative synonymous codon usage (RSCU) values identified the preferred codons for each amino acid in the family. The codon AGA was overrepresented, while the codons TCG, TTG, CGG, CGT, ACG, GCG and GAT were underrepresented in all of the genomes. A significant correlation was found between the effective number of codons (ENC) and base constraints, indicating that compositional properties might have influenced the CUB. A highly significant correlation was observed between the overall base content and the base content at the third codon position, indicating that mutations might have affected the CUB. A highly significant positive correlation was observed between GC12 and GC3 (r = 0.904, p < 0.01), which indicated that directional mutation pressure influenced all three codon positions. A neutrality plot revealed that the contribution of mutation and natural selection in determining the CUB was 58.6% and 41.4%, respectively.

A glance at genome editing with CRISPR-Cas9 technology.

In recent years, CRISPR-Cas9 technology is widely acknowledged for having major applications in the field of biotechnology for editing genome of any organism to treat a variety of complex diseases and for other purposes. The acronym 'CRISPR-Cas' stands for clustered regularly interspaced short palindromic repeats-CRISPR-associated genes. This genetic organization exists in prokaryotic organisms and aids in the development of adaptive immunity since a protein called Cas9 nuclease cleaves specific target nucleic acid sequences from foreign invaders and destroys them. This mode of action has gained interest of the researchers to understand the insights of CRISPR-Cas9 technology. Here, we review that CRISPR-Cas organization is restricted to two classes and possesses different protein effectors. We also review the architecture of CRISPR loci, mechanism involved in genome editing by CRISPR-Cas9 technology and pathways of repairing double-strand breaks (DSBs) generated during the process of genome editing. This review also presents the strategies to increase the Cas9 specificity and reduce off-target activity to achieve accurate genome editing. Further, this review provides information on CRISPR tools used for genome editing, databases that are required for storing data on loci, strategies for delivering CRISPR-Cas9 to cells under study and applications of CRISPR-Cas9 to various fields. Safety measures are implemented on this technology to avoid misuse or ethical issues. We also discuss about the future aspects and potential applications of CRISPR-Cas9 technology required mainly for the treatment of dreadful diseases, crop improvement as well as genetic improvement in human.

Codon usage pattern and its influencing factors in different genomes of hepadnaviruses.

Codon usage bias (CUB) arises from the preference for a codon over codons for the same amino acid. The major factors contributing to CUB are evolutionary forces, compositional properties, gene expression, and protein properties. The present analysis was performed to investigate the compositional properties and the extent of CUB across the genomes of members of the family Hepadnaviridae, as previously no work using bioinformatic tools has been reported. The viral genes were found to be AT rich with low CUB. Analysis of relative synonymous codon usage (RSCU) was used to identify overrepresented and underrepresented codons for each amino acid. Correlation analysis of overall nucleotide composition and its composition at the third codon position suggested that mutation pressure might influence the CUB. A highly significant correlation was observed between GC12 and GC3 (r = 0.910, p < 0.01), indicating that directional mutation affected all three codon positions across the genome. Translational selection (P2) and mutational responsive index (MRI) values of genes suggested that mutation plays a more important role than translational selection in members of the family Hepadnaviridae.

miRNAs and ovarian cancer: An overview.

Ovarian cancer (OC) is the sixth most common cancer in women globally. However, even with the advances in detection and therapeutics it still represents the most dangerous gynecologic malignancy in women of the industrialized countries. The discovery of micro-RNAs (miRNA), a small noncoding RNA molecule targeting multiple mRNAs and regulation of gene expression by triggering translation repression and/or RNA degradation, has revealed the existence of a new array for regulation of genes involved in cancer. This review summarizes the current knowledge regarding the role of miRNAs expression in OC. It also provides information about potential clinical relevance of circulating miRNAs for OC diagnosis, prognosis, and therapeutics. The identification of functional targets for miRNAs represents a major obstacle in our understanding of microRNA function in OC, but significant progress is being made. The better understanding of the role of microRNA expression in ovarian cancer may provide new array for the detection, diagnosis, and therapy of the OC.

Analysis of codon usage of Horseshoe Bat Hepatitis B virus and its host.

In the present analysis, codon usage strategies and base distribution of Horseshoe bat hepatitis B virus (HBHBV) were analyzed and compared with its host Rhinolophus sinicus, as no work was yet reported. The magnitude of synonymous codon usage bias (CUB) in the virus and its host was low with higher proportion of the base C. Notably, 21 more frequently used codons, 19 less frequently used codons and 3 underrepresented codons (TCG, ACG and GCG) were found to be similar in both virus and its host coding sequences. Neutrality plot analysis reported greater role of natural selection in HBHBV (67.84%) and R. sinicus (76.90%) over mutation pressure. Base skewness and protein properties also influenced the CUB of genes. Further, codon usage analysis depicted, HBHBV and R. sinicus had many similarities in codon usage patterns that might reflect viral adaptation to its host.

Genome-wide analysis of codon usage pattern in herpesviruses and its relation to evolution.

The preferential use of a specific codon, out of a group of synonymous codons encoding the same amino acid, in a gene transcript results from the bias in codon choice. Various evolutionary forces namely mutation pressure and natural selection influence the pattern of codon usage i.e. distinct for each gene/genome. We investigated the pattern of codon usage of eight human herpesvirus genomes and compared them with two other herpesvirus genomes namely murine herpesvirus 68 and bovine herpesvirus type 1.1 to elucidate its compositional features, pattern of codon usage across the genomes and report the differences of codon usage pattern of human herpesviruses from that of other two other viruses. We also identified the similarity of the codon usage of human herpesviruses with its host (human). The genes were found to be CG rich in HHV2, HHV3, HHV4, HHV6, HHV7 and BH genomes while TA rich in HHV1, HHV5, HHV8 and MH genomes. The codon usage bias (CUB) of genes was low. A highly significant correlation was found among compositional contents depicting the role of mutational pressure along with natural selection in framing CUB. Several more frequently used codons as well as less frequently used codons were identified to be similar between each human virus and its host (human), while murine herpesvirus 68 and bovine herpesvirus type 1.1 genomes did not possess similar adaptation strategy as human herpesviruses to human (host), thus we could conclude that viral CUB might have been shaped as per their host's nature for better surveillance. Neutrality plot revealed mutational pressure mostly influenced the CUB of HHV1, HHV8 and MH viruses, while natural selection had a major impact in the CUB of HHV2, HHV3, HHV4, HHV5, HHV6, HHV7 and BH genomes.

Japanese encephalitis virus: A multi-epitope loaded peptide vaccine formulation using reverse vaccinology approach.

Japanese encephalitis (JE) is a serious leading health complication emerging expansively that has severely affected the survival rate of human beings. This fatal disease is caused by JE Virus (JEV). The current study was carried out for designing a multi-epitope loaded peptide vaccine to prevent JEV. Based on reverse vaccinology and in silico approaches, octapeptide B-cell and hexapeptide T-cell epitopes belonging to five proteins, viz. E, prM, NS1, NS3 and NS5 of JEV were determined. Hydrophilicity, antigenicity, immunogenicity and aliphatic amino acids of the epitopes were estimated. Further, the epitopes were analyzed for different physicochemical parameters, e.g. total net charges, amino acid composition and Boman index. Out of all the epitopes, a total of four T-cell epitopes namely KRADSS, KRSRRS, SKRSRR and KECPDE and one B-cell epitope i.e. PKPCSKGD were found to have potential for raising immunity in human against the pathogen. Taking into account the outcome of this study, the pharmaceutical industries could initiate efforts to combine the identified epitopes together with adjuvant or carrier protein to develop a multi-epitope-loaded peptide vaccine against JEV. The peptide vaccine, being cost effective, could be administered as a prophylactic measure and in JEV infected individuals to combat the spread of this virus in human population. However, prior to administration into human beings, the vaccine must pass through several clinical trials.

Prediction of Potential Epitopes for Peptide Vaccine Formulation Against Teschovirus A Using Immunoinformatics.

Teschovirus A belongs to the family Picornaviridae and is a causal agent of the disease Teschovirus encephalomyelitis and other infections that remain asymptomatic. The present study was performed to design epitope-based peptide vaccine against Teschovirus A by identifying the potential T cell and B-cell epitopes from capsid proteins (VP1, VP3 and VP2) of the virus using reverse vaccinology and immunoinformatics approaches. In the current study, hexapeptide T-cell and octapeptide B-cell epitopes were analyzed for immunogenicity, antigenicity and hydrophilicity scores of each epitope. Each potential epitope was further characterized using ExPASy-ProtParam and Antimicrobial Peptide Database (APD3) tools for determining various physical and chemical parameters of the epitope. One linear hexapeptide T-cell epitope, i.e., RPVNDE (epitope position 77-82) and one linear octapeptide B-cell epitope, i.e., AYSRSHPQ (236-243) were identified from the viral capsid protein as they possess the capability to raise effective immunogenic reaction in the host organism against the virus. Pharmaceutical industries could harness the results of this investigation to develop epitope-based peptide vaccines by loading the identified epitopes in combination with targeting signal peptides of T-cells and B-cells and then inserting the combination into virus like particle (vlp) or constructing subunit vaccines for further trial.

Allele frequency analysis of GALC gene causing Krabbe disease in human and its codon usage.

Krabbe disease is one of the rarest autosomal recessive disorders in human, caused by mutation in the GALC (ß-galactosylceramidase) gene, resulting in several mental and physical health issues. Due to its rarity and phenotypic heterogeneity, diagnosis rate of this disease is very low. This study generated information on the recessive allele frequency dynamics of GALC gene across 15 global populations, with the highest frequency detected in Druze (Israel) population and the lowest frequency in Turkey and the United States. The recessive allele would take more time period (about 24,975 years) to be completely removed from the population having the lowest frequency and vice versa. The codon usage patterns of four isoforms of GALC gene revealed that a few synonymous codons were used more frequently than others in the isoforms. The codon AGA (arginine) was found to be overrepresented in GALC gene, except for galactocerebrosidase isoform a precursor. Further, GALC gene showed low codon usage bias (CUB) as evident from high ENC values (55.7-58.2), with A/T ending codons more preferred to G/C ending codons. CUB analysis elucidated the dual role of mutational pressure (major role) and natural selection (minor role) in GALC gene evolution.

Analysis of codon usage patterns and influencing factors in Nipah virus.

Codon usage bias (CUB) is the unequal usage of synonymous codons of an amino acid in which some codons are used more often than others and is widely used in understanding molecular biology, genetics, and functional regulation of gene expression. Nipah virus (NiV) is an emerging zoonotic paramyxovirus that causes fatal disease in both humans and animals. NiV was first identified during an outbreak of a disease in Malaysia in 1998 and then occurred periodically since 2001 in India, Bangladesh, and the Philippines. We used bioinformatics tools to analyze the codon usage patterns in a genome-wide manner among 11 genomes of NiV as no work was reported yet. The compositional properties revealed that the overall GC and AT contents were 41.96 and 58.04%, respectively i.e. Nipah virus genes were AT-rich. Correlation analysis between overall nucleotide composition and its 3rd codon position suggested that both mutation pressure and natural selection might influence the CUB across Nipah genomes. Neutrality plot revealed natural selection might have played a major role while mutation pressure had a minor role in shaping the codon usage bias in NiV genomes.

Compositional features and codon usage pattern of TP63 gene.

The tumor protein p63encoded by the gene TP63 acts as a homologue of p53 protein. TP63 gene is the transformation factor with two initiation sites for transcriptional process and is related with stress, signal transduction and cell cycle control. The biasness in the preference of a few codons more frequently over other synonymous codons is the codon usage bias (CUB). Natural selection and mutational pressure are the two prime evolutionary forces acting on CUB. Here, the bioinformatic based analysis was performed to investigate the base distribution and CUB of TP63transcript variants (isoforms) as no work was performed earlier. Analysis of compositional features revealed variation in base content across TP63 gene isoforms and the GC content was more than 50%, indicating GC richness of its isoforms. The mean effective number of codons (ENC), a measure of CUB, was 51.83, i.e. overall CUB of TP63 gene was low. Among 13 isoforms of TP63 gene, nature selected against the CTA codon in 8 isoforms and favored five over-represented (RSCU > 1.6) codons namely CTG, CAG, ATC, AAC and GCC during evolution. Correlation between overall nucleotide composition and its 3rd codon position revealed that both mutational pressure and natural selection moulded its CUB. Further, the correlation between ENC and aromaticity depicted that variation of CUB was related to the degree of aromaticity of p63 protein.

Analysis of codon usage pattern of mitochondrial protein-coding genes in different hookworms.

The phenomenon of unequal usage of synonymous codons encoding an amino acid in which some codons are more preferred to others is the codon usage bias (CUB) and it is species specific. Analysis of CUB helps in understanding evolution at molecular level and acquires significance in mRNA translation, design of transgenes and new gene discovery. In our current study, we analyzed synonymous codon usage pattern and the factors influencing it on mitochondrial protein coding genes of 6 different hookworms i.e. Ancylostoma ceylanicum, Ancylostoma duodenale, Necator americanus, Ancylostoma tubaeforme, Ancylostoma caninum and Uncinaria sanguinis as no work was reported yet. The effective number of codons for mitochondrial genes suggested that codon usage bias was high in most species. The GC content was lower than AT content i.e. genes were AT rich as indicated by nucleotide composition analysis. The overall nucleotide composition along with its composition at 3rd codon position and correspondence analysis suggested that both natural selection and mutation pressure might have affected the codon usage bias in mitochondrial genes. However, neutrality plot revealed that mutation pressure might have played a major role in A. ceylanicum while natural selection might have played the dominant role in Ancylostoma duodenale, Necator americanus, Ancylostoma tubaeforme, Ancylostoma caninum and Uncinaria sanguinis.