Integrated 16S rRNA and RNA-seq Data from Engineered Probiotic Treatment in Colitis Mice

Integrated 16S rRNA gene sequencing and RNA sequencing data were generated from a mouse model of dextran sulfate sodium-induced colitis treated with an engineered probiotic yeast strain (SB12), wild-type Saccharomyces boulardii, or control conditions. The dataset includes relative abundance matrices of gut microbial taxa from fecal samples and processed gene expression matrices from colonic tissues. It provides a resource for studying multi-omics responses to engineered probiotic intervention in inflammatory bowel disease.

Use Cases

• Assessing microbiota alterations following probiotic treatment based on 16S rRNA relative abundance matrices.
• Profiling host transcriptional responses in colitis based on RNA-seq normalized count matrices.
• Analyzing correlations between gut microbial community composition and host gene expression changes.
• Evaluating the efficacy of an engineered probiotic yeast strain (SB12) compared to wild-type controls.

Strengths

• Dataset integrates two complementary omics data types (16S rRNA and RNA-seq) for a unified host-microbiome analysis.
• Data is structured for analysis with provided abundance and gene expression matrices and associated sample metadata.
• Available under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Column names and exact row counts are not provided, limiting precise assessment of dataset scale and structure.
• Dataset is derived from a controlled mouse model, which may limit direct translatability to human inflammatory bowel disease.

Provenance

Source

Author hy Liu, associated with a corresponding manuscript.

Collection Method

Generated from a mouse model of DSS-induced colitis, with 16S rRNA sequencing of fecal samples and RNA-seq of colonic tissues.

Time Range

Experimental time range not specified.

Freshness

Last updated on 2026-03 24.

Geography

Spatial coverage not specified; data is from a laboratory mouse model.