DOI: 10.57760/sciencedb.32707
title: Probiotic intervention for obesity
title: Probiotic intervention for obesity

description: Dataset Description: Gut Microbiome and Metabolomics DatasetData Generation Process and Processing Methods:This dataset contains integrated data from gut microbiome and metabolomics analyses performed on C57BL/6J mice to investigate the relationship between gut microbiota composition and host metabolic status. The data generation process includes the following steps:Microbiome Data: Gut microbiome data were generated using 16S rRNA gene sequencing. DNA was extracted from mouse fecal samples, amplified with specific primers, and sequenced on an Illumina MiSeq platform. Data were processed using the QIAseq 16S RNA analysis pipeline.Metabolomics Data: Metabolomics data were obtained via liquid chromatography-mass spectrometry (LC-MS). An Agilent 1290 Infinity LC system coupled with an Agilent 6460 QQQ mass spectrometer was used for analysis. Samples were extracted using acetonitrile-water mixtures, and analyzed over a 0-15 minute window on the LC-MS system.Data Processing: The microbiome data were processed with QIIME2 for quality control and sequence joining. Metabolomics data were analyzed using MassHunter software for peak detection and quantification. All data were normalized and subjected to statistical analyses (e.g., ANOVA, multiple comparisons).Missing Data Information:No systemic missing data were observed during sample collection. However, in some experimental groups, due to technical issues or insufficient sample sizes, a small percentage of metabolomics or microbiome data were missing. Software and Format Information:The data files are in CSV format, which is compatible with software such as Excel, R, and Python for data analysis.Microbiome data processing was performed using the QIIME2 platform, and further statistical analyses were conducted using R.
description: Dataset Description: Gut Microbiome and Metabolomics DatasetData Generation Process and Processing Methods:This dataset contains integrated data from gut microbiome and metabolomics analyses performed on C57BL/6J mice to investigate the relationship between gut microbiota composition and host metabolic status. The data generation process includes the following steps:Microbiome Data: Gut microbiome data were generated using 16S rRNA gene sequencing. DNA was extracted from mouse fecal samples, amplified with specific primers, and sequenced on an Illumina MiSeq platform. Data were processed using the QIAseq 16S RNA analysis pipeline.Metabolomics Data: Metabolomics data were obtained via liquid chromatography-mass spectrometry (LC-MS). An Agilent 1290 Infinity LC system coupled with an Agilent 6460 QQQ mass spectrometer was used for analysis. Samples were extracted using acetonitrile-water mixtures, and analyzed over a 0-15 minute window on the LC-MS system.Data Processing: The microbiome data were processed with QIIME2 for quality control and sequence joining. Metabolomics data were analyzed using MassHunter software for peak detection and quantification. All data were normalized and subjected to statistical analyses (e.g., ANOVA, multiple comparisons).Missing Data Information:No systemic missing data were observed during sample collection. However, in some experimental groups, due to technical issues or insufficient sample sizes, a small percentage of metabolomics or microbiome data were missing. Software and Format Information:The data files are in CSV format, which is compatible with software such as Excel, R, and Python for data analysis.Microbiome data processing was performed using the QIIME2 platform, and further statistical analyses were conducted using R.