Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.
Project description:Wastewater treatment plants (WWTPs) and Drinking water treatment plants (DWTPs) are critical points for public health for persistently remaining microorganisms after treatment may pose a risk. This study aimed to conduct microbial metagenomic analyses on waters from both DWTPs and WWTPs under the Istanbul Water and Sewerage Administration (ISKI). In this study a total of 52 samples were included, comprising 18 samples from DWTPs and 34 from WWTPs. All water samples underwent pre-isolation filtration. DNA isolation was conducted using filter material, followed by library preparation and sequencing on a NovaSeq 6000 instrument following the manufacturer's guidelines.
Project description:Apple is one of the most important fruits that is propagated vegetatively, facilitating frequent transmission of viruses. The causative agent of the apple rubbery wood disease, apple rubbery wood virus 2 (ARWV2), can infect apple and pear. The branches of ARWV2-infected, symptomatic trees are flexible due to the decreased lignification of the xylem. In this research, we reanalysed our sRNA HTS datasets to survey the presence of ARWV2 in Hungary. Validation of HTS using RT-PCR revealed infection in several cultivars. The following RT-PCR-based survey revealed the infection of 15 trees, including pear and quince, without showing any rubbery wood symptoms. Analysis of the sRNA datasets allowed us to profile the sRNA pattern of ARWV2-infected and non-infected trees, and characterise the differential expression pattern of vsiRNAs and miRNAs targeting the lignin biosynthetic pathway. The results confirmed that neither the symptoms nor the gene-expression changes in the ARWV2-infected trees can be directly correlated with the presence of the virus, which can explain its frequent latent presence. Its variable concentration, sequence, and the mixed-infection status of the trees, make difficult its reliable diagnostics, which, although it would be highly needed, could be achieved as a result of further research.
Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.
Project description:Here we report metagenomic sequencing data in gut microbiota of autism spectrum disorders (ASD) compared with healthy volunteers (30 for ASD children and 30 for healthy controls, respectively). The genes changed in autistic subjects involved 1,312,364 analytes that compare to 1,335,835 analytes in healthy controls. The number of taxa in autistic subjects were significantly increased as compared to the healthy controls based on the phylum and genus level (P = 0.001). However, the number of species were significantly decreased in autistic subjects (P = 0.001).
Project description:Maternal obesity impacts neonatal outcomes; however, its influence on fetal gene expression and early gut microbiota composition remains insufficiently characterized. This prospective study was conducted in 62 full-term neonates between 2022 and 2024, analyzing transcriptomic profiles from umbilical-cord blood and metagenomic sequencing of fecal samples at 4 months. The cohort included 31 neonates born to mothers with normal BMI (NBMI) and 31 neonates born to mothers with overweight or obesity (OBMI). Major congenital anomalies, maternal exposure to drugs or antibiotics were exclusion criteria. OBMI neonates demonstrated significant upregulation of genes related to inflammation (MPO, OLR1) and cell-cycle dysregulation (GADD45G, CCNA1). Evidence of altered lysosomal function was observed, with increased expression of CTSG and CLTCL1 and reduced expression of HYAL1. Microbiome analysis revealed a decrease in Bacteroidota and an increase in Proteobacteria in cesarean-delivered neonates. Holdemanella was enriched in vaginally delivered OBMI neonates, suggesting a potential adaptive microbial response. Enrichment of opportunistic pathogens, including Klebsiella, Morganella, and Enterococcus, was observed in cesarean-delivered neonates, indicating a combined effect of maternal obesity and delivery mode on early microbial colonization. These findings suggest that maternal obesity modifies neonatal immune and metabolic gene expression while reshaping gut microbiome composition, with potential implications for long-term health.
Project description:After characterizing super-enhancer-associated chromatin dynamics accompanied by malignant progression of skin stem cells, we show that ETS family members auto-regulate themselves and a cohort of cancer-associated super-enhancer transcription factors which together are essential for tumor maintenance. Mouse skin squamouse cell carcinoma (SCC) tumor-initiating stem cells (SCs) were FACS-purified for ChIP-sequencing.