Data Sheet 1_Multi-omics analysis identifies gut microbiota-glutamine axis contributing to

A 1.6 MB dataset from figshare, last updated on 2026-05-25. It contains integrated multi-omics data from a study characterizing gut microbiota and serum metabolites in patients with reflux esophagitis. The data was generated by author Yu Wu and is shared under a CC-BY-4.0 license.

Use Cases

• Correlating gut microbiota dysbiosis with serum metabolite levels based on the described Pearson correlation analysis.
• Investigating the glutamine-glutamate metabolic pathway's role in inflammation based on the described qPCR and metabolite concentration data.
• Validating computational models of mucosal barrier function based on the described markers ZO-1 and Occludin.
• Exploring associations between specific bacterial taxa (e.g., Bacteroidota, Escherichia coli) and inflammatory cytokines (e.g., IL-8, TNF-α).

Strengths

• Integrates two omics layers: fecal metagenomic sequencing and serum untargeted metabolomics.
• Includes in vitro experimental validation data from human esophageal epithelial cells under different treatment conditions.
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is relatively small at 1.6 MB, suggesting it may be a summary or processed results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Fecal metagenomic sequencing and serum untargeted metabolomics (LC-MS/MS) performed on reflux esophagitis patients and healthy controls, followed by in vitro cell experiments.

Freshness

Last updated 2026-05-25 06:03:08; freshness should be verified.