Mouse Gut Microbiota, Transcriptome, and Metabolome Data Across Six Circadian Time Points
by Zhenting Zhao·Updated 2mo ago
483.7 MB1files
Available on 1 platform
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Description
483.7 MB of data supporting a study on obesity-induced colonic inflammation. The dataset includes colon transcriptomes from bulk RNA-seq, gut microbiota profiles from 16S rRNA sequencing, and untargeted fecal metabolomics from LC–MS for male C57BL/6J mice sampled at six circadian time points (ZT0, ZT4, ZT8, ZT12, ZT16, ZT20). It was authored by Zhenting Zhao and last updated on 2026-04-20.
Use Cases
Identify circadian rhythmicity in gene expression and metabolite levels based on the JTK_CYCLE analysis mentioned in the description
Perform integrated multi-omics analysis to link gut microbiota rhythms with glutathione metabolism based on the described transcriptome–metabolome integration
Validate causal relationships in gut-microbiota-host signaling using data from antibiotic depletion and fecal transplantation experiments described
Analyze histological changes in colon tissue based on the included histology images mentioned in the title
Strengths
Includes multi-modal data: transcriptomics, 16S rRNA sequencing, metabolomics, and histology images
Data spans six specific circadian time points (ZT0 to ZT20) for temporal analysis
File size is 483.7 MB, suggesting substantial data volume
Limitations
Column-level documentation is absent; field semantics must be inferred after download
Row count is unknown, which may limit suitability assessment
Data is from a controlled mouse model (C57BL/6J males), which may limit direct human applicability
Provenance
Source
figshare
Collection Method
Experimental data from mouse models, with sequencing and mass spectrometry analysis.
Time Range
Circadian sampling at ZT0, ZT4, ZT8, ZT12, ZT16, ZT20.
Freshness
Last updated 2026-04-20 08:56:25; freshness should be verified
Geography
Laboratory study; geographic origin is unknown.
License is CC-BY-4.0, requiring attribution. Primary file format is XLSX.