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.

2021-07-26 | E-MTAB-9189 | biostudies-arrayexpress

HOME-BIO (sHOtgun MEtagenomic analysis of BIOlogical entities): from reads to pathogens. A specific and exhaustive pipeline for handling metagenomic shotgun sequencing data.

2021-07-26 | E-MTAB-9191 | biostudies-arrayexpress

Shotgun metagenomics of infant formula study

Project description:Shotgun Sequencing infant stool samples

| PRJEB53994 | ENA

Altered fecal small RNA profiles in colorectal cancer reflect gut microbiome composition in stool samples

Project description:Dysbiotic configurations of the human gut microbiota have been linked with colorectal cancer (CRC). Human small non-coding RNAs are also implicated in CRC and recent findings suggest that their release in the gut lumen contributes to shape the gut microbiota. Bacterial small RNAs (bsRNAs) may also play a role in carcinogenesis but their role is less explored. Here, we performed small RNA and shotgun sequencing on 80 stool specimens of patients with CRC, or adenomas, and healthy subjects collected in a cross-sectional study to evaluate their combined use as a predictive tool for disease detection. We reported a considerable overlap and correlation between metagenomic and bsRNA quantitative taxonomic profiles obtained from the two approaches. Furthermore, we identified a combined predictive signature composed by 32 features from human and microbial small RNAs and DNA-based microbiome able to accurately classify CRC from healthy and adenoma samples (AUC= 0.87). In summary we reported evidence that host-microbiome dysbiosis in CRC can be observed also by altered small RNA stool profiles. Integrated analyses of the microbiome and small RNAs in the human stool may provide insights for designing more accurate tools for diagnostic purposes.

2019-08-30 | GSE132236 | GEO

Enterovirus A71 isolate:Human (infant) Stool

Project description:Enterovirus A71 isolate:Human (infant) Stool Genome sequencing

| PRJNA647631 | ENA

Infant stool sample

Project description:Infant gut microbiome meta-transcriptomics

| PRJNA505710 | ENA

Metaproteomics on preterm infant stool

Project description:Development of the gut microbiota is greatly impacted in preterm infants. Despite increasing knowledge about microbiota composition in preterm infants, knowledge about the functional signatures of the intestinal microbiota remains limited. The aim was to study transitions in microbiota activity during the first six postnatal weeks in ten preterm infants. A total of 64 stool samples were measured by LC-MS/MS.

2017-07-14 | PXD005574 | Pride

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