Summary Phigaro is a standalone command-line application that is able to detect prophage regions taking raw genome and metagenome assemblies as an input. It also produces dynamic annotated ‘prophage genome maps’ and marks possible transposon insertion spots inside prophages. It is applicable for mining prophage regions from large metagenomic datasets. Availability and implementation Source code for Phigaro is freely available for download at https://github.com/bobeobibo/phigaro along with test data. The code is written in Python. Supplementary information Supplementary data are available at Bioinformatics online.
G-quadruplex (G4) sites in the human genome frequently colocalize with CCCTC-binding factor (CTCF)-bound sites in CpG islands (CGIs). We aimed to clarify the role of G4s in CTCF positioning. Molecular modeling data suggested direct interactions, so we performed in vitro binding assays with quadruplex-forming sequences from CGIs in the human genome. G4s bound CTCF with Kd values similar to that of the control duplex, while respective i-motifs exhibited no affinity for CTCF. Using ChIP-qPCR assays, we showed that G4-stabilizing ligands enhance CTCF occupancy at a G4-prone site in STAT3 gene. In view of the reportedly increased CTCF affinity for hypomethylated DNA, we next questioned whether G4s also facilitate CTCF recruitment to CGIs via protecting CpG sites from methylation. Bioinformatics analysis of previously published data argued against such a possibility. Finally, we questioned whether G4s facilitate CTCF recruitment by affecting chromatin structure. We showed that three architectural chromatin proteins of the high mobility group colocalize with G4s in the genome and recognize parallel-stranded or mixed-topology G4s in vitro. One of such proteins, HMGN3, contributes to the association between G4s and CTCF according to our bioinformatics analysis. These findings support both direct and indirect roles of G4s in CTCF recruitment.
The microbiota of the respiratory tract remains a relatively poorly studied subject. At the same time, like the intestinal microbiota, it is involved in modulating the immune response to infectious agents in the host organism. A causal relationship between the composition of the respiratory microbiota and the likelihood of development and the severity of COVID-19 may be hypothesized. We analyze biomaterial from nasopharyngeal smears from 336 patients with a confirmed diagnosis of COVID-19, selected during the first and second waves of the epidemic in Russia. Sequences from a similar study conducted in Spain were also included in the analysis. We investigated associations between disease severity and microbiota at the level of microbial community (community types) and individual microbes (differentially represented species). To search for associations, we performed multivariate analysis, taking into account comorbidities, type of community and lineage of the virus. We found that two out of six community types are associated with a more severe course of the disease, and one of the community types is characterized by high stability (very similar microbiota profiles in different patients) and low level of lung damage. Differential abundance analysis with respect to comorbidities and community type suggested association of Rothia and Streptococcus genera representatives with more severe lung damage, and Leptotrichia, unclassified Lachnospiraceae and Prevotella with milder forms of the disease.
COVID-19 caused by SARS-CoV-2 is continuing to spread around the world and drastically affect our daily life. New strains appear, and the severity of the course of the disease itself seems to be decreasing, but even people who have been ill on an outpatient basis suffer post-COVID consequences. Partly, it is associated with the autoimmune reactions, so debates about the development of new vaccines and the need for vaccination/revaccination continue. In this study we performed an analysis of the antibody response of patients with COVID-19 to linear and conformational epitopes of viral proteins using ELISA, chip array and western blot with analysis of correlations between antibody titer, disease severity, and complications. We have shown that the presence of IgG antibodies to the nucleoprotein can deteriorate the course of the disease, induce multiple direct COVID-19 symptoms, and contribute to long-term post-covid symptoms. We analyzed the cross reactivity of antibodies to SARS-CoV-2 with own human proteins and showed that antibodies to the nucleocapsid protein can bind to human proteins. In accordance with the possibility of HLA presentation, the main possible targets of the autoantibodies were identified. People with HLA alleles A01:01; A26:01; B39:01; B15:01 are most susceptible to the development of autoimmune processes after COVID-19.
Inflammatory bowel diseases (IBD), which include ulcerative colitis (UC) and Crohn's disease (CD), are chronic intestinal inflammatory disorders with an unknown etiology. They are characterized by chronic recurrent inflammation of the intestinal mucosa and lead to a significant decrease in the quality of life and death of patients. IBD are associated with suppression of normal intestinal microflora, including a decrease in bacteria, producers of short chain fatty acids (SCFAs), exhibiting anti-inflammatory and protective properties. Among the various methods of intestinal microflora correction, fecal microbiota transplantation (FMT), which engrafts the fecal microbiota from a healthy donor into a patient recipient, is of a particular interest. As a result, a positive therapeutic effect is observed, accompanied by the restoration of the normal intestinal microflora of the patient. A significant drawback of the method is the lack of standardization. Metabolites produced by intestinal microflora, namely SCFAs, allow objective assessment of the functional state of the intestinal microbiota and, consequently, the success of the FMT procedure. Using gas chromatography and nuclear magnetic resonance spectroscopy techniques, we have analyzed concentrations and molar ratios of SCFAs in fecal samples of 60 healthy donors. Results were in good accord when comparing two methods as well as with published data. Analysis of SCFAs in feces of patients with UC (19 patients) and CD (17 patients) revealed a general decrease in the concentration of fatty acids in the experimental groups with significant fluctuations in the values in experimental groups compared to control group of healthy donors. On the limited group of IBD patients (6 patients with UC and 5 patients with CD) concentration of SCFAs before and within 30 days of observation after FMT was determined. It was shown that FMT had a significant impact on the SCFAs levels within 1 month term; tendency to reach characteristics of healthy donors is unambiguously traced for both diseases.
Numerous studies confirm the high degree of involvement of the intestinal microbiota in most processes in the human body. There is evidence for the effect of intestinal microbiota on the success of chemo and immunotherapy of oncological diseases. It is assumed that the intestinal microbiota exhibits an indirect effect on the antitumor therapy through such mechanisms as general immunomodulation, an increase in cells that specifically respond to antigens of both microbial and tumor origin, metabolism, degradation (utilization) of drug compounds. The intestinal microbiota is currently considered as an additional, but important target for studying the effective use of antitumor therapy and reducing its toxicity, as well as a predictor of the success of immunotherapy. In this review, we highlight the results of studies published to date that confirm the relationship between gut microbiome and antitumor efficacy of immune checkpoint inhibitors. Despite the promising and theoretically substantiated conclusions, there are still some discrepancies among the existing data that will have to be addressed in order to facilitate the further development of this direction.
The SARS-CoV-2 pandemic is a big challenge for humanity. The COVID-19 severity differs significantly from patient to patient, and it is important to study the factors protecting from severe forms of the disease. Respiratory microbiota may influence the patient's susceptibility to infection and disease severity due to its ability to modulate the immune system response of the host organism. This data article describes the microbiome dataset from the upper respiratory tract of SARS-CoV-2 positive patients from Russia. This dataset reports the microbial community profile of 335 human nasopharyngeal swabs collected between 2020-05 and 2021-03 during the first and the second epidemic waves. Samples were collected from both inpatients and outpatients in 4 cities of the Russian Federation (Moscow, Kazan, Irkutsk, Nizhny Novgorod) and sequenced using the 16S rRNA gene amplicon sequencing of V3-V4 region. Data contains information about the patient such as age, sex, hospitalization status, percent of damaged lung tissue, oxygen saturation (SpO2), respiratory rate, need for supplemental oxygen, chest computer tomography severity score, SARS-CoV-2 lineage, and also information about smoking and comorbidities. The amplicon sequencing data were deposited at NCBI SRA as BioProject PRJNA751478.
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