Association of T/A polymorphism in miR-1302 binding site in CGA gene with male infertility in Isfahan population

Infertility occurs in 10–15% of couples worldwide and close to half of it is caused by male factors. One of the genes that can affect male infertility is CGA. Polymorphisms in CGA gene may affect gene expression, therefore affecting male infertility by disrupting the regulation of this gene. One of the polymorphisms is the substitution of T with A in the miR-1302 binding site in the 3′ untranslated region of the CGA gene. In this study, we explored this polymorphism in Isfahan population. In this case-control study, by the use of Tetra primer-ARMS–PCR technique, rs6631 has been investigated in 224 infertile men and 196 controls. Infertile men were recruited from Isfahan Fertility and Infertility Center. Analysis of genotype and allele frequencies indicated that the differences between case and control populations were significant for rs6631 because P?=?0.00 which is above the threshold. We found a significant relationship between this polymorphism and male infertility. This study which performed for the first time in Iran suggests that polymorphism in CGA gene can affect male infertility. Also, this polymorphism has high heterozygosity, so it can be used for further studies in different populations.     

Crystal structure of a novel prolidase from Deinococcus radiodurans identifies new subfamily of bacterial prolidases

Xaa‐Pro peptidases (XPP) are dinuclear peptidases of MEROPS M24B family that hydrolyze Xaa‐Pro iminopeptide bond with a trans‐proline at the second position of the peptide substrate. XPPs specific towards dipeptides are called prolidases while those that prefer longer oligopeptides are called aminopeptidases P. Though XPPs are strictly conserved in bacterial and archaeal species, the structural and sequence features that distinguish between prolidases and aminopeptidases P are not always clear. Here, we report 1.4 Å resolution crystal structure of a novel XPP from Deinococcus radiodurans (XPPdr). XPPdr forms a novel dimeric structure via unique dimer stabilization loops of N‐terminal domains such that their C‐terminal domains are placed far apart from each other. This novel dimerization is also the consequence of a different orientation of N‐terminal domain in XPPdr monomer than those in other known prolidases. The enzymatic assays show that it is a prolidase with broad substrate specificity. Our structural, mutational, and molecular dynamics simulation analyses show that the conserved Arg46 of N‐terminal domain is important for the dipeptide selectivity. Our BLAST search found XPPdr orthologs with conserved sequence motifs which correspond to unique structural features of XPPdr, thus identify a new subfamily of bacterial prolidases.     

Are genetic variations in IL-21–IL-23R–IL-17A cytokine axis involved in a pathogenic pathway of rheumatoid arthritis? Bayesian hierarchical meta-analysis

Inflammatory cytokines have been established to be involved in the pathogenesis of rheumatoid arthritis (RA). The genetic polymorphisms in the interleukin (IL) 23 receptor (IL23R), IL21, and IL17 have been associated with RA risk. However, there is no conclusive understanding of the genes encoding the immunoinflammatory IL-21–IL-23R–IL-17A pathway in RA aetiopathogenesis. This meta-analysis was conducted to attain this goal. A comprehensive literature search was conducted in Scopus and PubMed to look for the relevant case–control studies up until 2018. A Bayesian hierarchical meta-analysis was carried out to assess the association between the polymorphisms and the risk of RA. The association was estimated by calculating the logarithm of odds ratio (Log OR) and 95% credible interval (95% CI). In this meta-analysis, 37 case–control studies comprising 23,506 RA patients and 25,984 healthy individuals were found for analyzing the IL23R, IL21, and IL1A gene polymorphism and risk of RA. In the IL23R gene rs1343151 SNP, the minor A allele significantly increased the risk of RA (Log OR = 0.085, 95% CI = 0.008, 0.156). Moreover, the minor AA genotype was significantly associated with increased RA risk (Log OR = 0.176, 95% CI = 0.028, 0.321). In addition, the C allele of the IL23R gene rs2201841 SNP significantly decreased the disease risk (Log OR = −0.544, 95% CI = −1.0, −0.065). Since Bayesian meta-analysis is a powerful strategy to pool the data, it can be mentioned that genetic polymorphisms of IL23R, but not IL21 and IL17A, are involved in susceptibility to RA.     

Umbelliprenin shows antitumor,antiangiogenesis, antimetastatic,anti‐inflammatory,and immunostimulatory activities in 4T1 tumor‐bearing Balb/c mice

Umbelliprenin (UMB) has shown various pharmacological properties in vitro. We investigated the antineoplastic and immunostimulatory effects of UMB in 4T1 mammary‐tumor‐bearing mice. Two‐hundred microliter of UMB (12.5 mg/ml) was intraperitoneally administrated to healthy and tumor‐bearing female Balb/c mice for a period of 18 days. Data was analyzed using GraphPad Prism 5 software for Windows (version 5, La Jolla, CA). UMB caused a significant decrease in tumor size (P < 0.01). Serum interferon gamma (IFNγ) was augmented in both healthy and tumor‐bearing animals (P < 0.01), and IL‐4 declined in healthy animals (P < 0.01) treated with UMB. Expressions of Ki‐67, VEGF, CD31, MMP2, MMP9, VCAM1, and NF‐κB were significantly decreased in tumors from UMB‐treated animals (P < 0.001), whereas E‐Cadherin and TNFR1 expressions were markedly increased (P < 0.001). The rates of liver and lung metastases in UMB‐administrated animals were smaller compared to the control. UMB can potently inhibit tumor growth, angiogenesis, metastasis, and inflammation and potentiate an antitumor immune response in vivo. However, further investigations are required to evaluate the UMB mechanisms of action in cancerous cells.     

RNA Interference: Biology, Mechanism, and Applications

Double-stranded RNA-mediated interference (RNAi) is a simple and rapid method of silencing gene expression in a range of organisms. The silencing of a gene is a consequence of degradation of RNA into short RNAs that activate ribonucleases to target homologous mRNA. The resulting phenotypes either are identical to those of genetic null mutants or resemble an allelic series of mutants. Specific gene silencing has been shown to be related to two ancient processes, cosuppression in plants and quelling in fungi, and has also been associated with regulatory processes such as transposon silencing, antiviral defense mechanisms, gene regulation, and chromosomal modification. Extensive genetic and biochemical analysis revealed a two-step mechanism of RNAi-induced gene silencing. The first step involves degradation of dsRNA into small interfering RNAs (siRNAs), 21 to 25 nucleotides long, by an RNase III-like activity. In the second step, the siRNAs join an RNase complex, RISC (RNA-induced silencing complex), which acts on the cognate mRNA and degrades it. Several key components such as Dicer, RNA-dependent RNA polymerase, helicases, and dsRNA endonucleases have been identified in different organisms for their roles in RNAi. Some of these components also control the development of many organisms by processing many noncoding RNAs, called micro-RNAs. The biogenesis and function of micro-RNAs resemble RNAi activities to a large extent. Recent studies indicate that in the context of RNAi, the genome also undergoes alterations in the form of DNA methylation, heterochromatin formation, and programmed DNA elimination. As a result of these changes, the silencing effect of gene functions is exercised as tightly as possible. Because of its exquisite specificity and efficiency, RNAi is being considered as an important tool not only for functional genomics, but also for gene-specific therapeutic activities that target the mRNAs of disease-related genes.     

The subsystems approach to genome annotation and its use in the project to annotate 1000 genomes

The release of the 1000^th complete microbial genome will occur in the next two to three years. In anticipation of this milestone, the Fellowship for Interpretation of Genomes (FIG) launched the Project to Annotate 1000 Genomes. The project is built around the principle that the key to improved accuracy in high-throughput annotation technology is to have experts annotate single subsystems over the complete collection of genomes, rather than having an annotation expert attempt to annotate all of the genes in a single genome. Using the subsystems approach, all of the genes implementing the subsystem are analyzed by an expert in that subsystem. An annotation environment was created where populated subsystems are curated and projected to new genomes. A portable notion of a populated subsystem was defined, and tools developed for exchanging and curating these objects. Tools were also developed to resolve conflicts between populated subsystems. The SEED is the first annotation environment that supports this model of annotation. Here, we describe the subsystem approach, and offer the first release of our growing library of populated subsystems. The initial release of data includes 180177 distinct proteins with 2133 distinct functional roles. This data comes from 173 subsystems and 383 different organisms.