Project description:The objective of this study was to identify potentially remaining CeD-active peptides in the hydrolyzed and fermented food products BME, barley malt vinegar (BMV), and soy sauce with high resolution untargeted nanoLC-MS/MS method. Secondly, we aimed to quantitate the absolute concentrations of selected CeD-active peptides in the samples by targeted nanoLC-MS/MS with SIDA. The knowledge of the remaining concentrations of CeD-active peptides in fermented and hydrolyzed products enables a more reliable scientific basis for risk assessment of such food products.
2025-12-19 | PXD068276 | Pride
Project description:fermented food sequencing
| PRJNA626078 | ENA
Project description:Metagenomic sequencing of Chinese baijiu fermented samples
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:Multiomics of faecal samples collected from individuals in families with multiple cases of type 1 diabetes mellitus (T1DM) over 3 or 4 months. Metagenomic and metatranscriptomic sequencing and metaproteomics were carried out, as well as whole human genome sequencing. Phenotypic data is available.
