MAIT Cell and Sepsis-Related Liver Injury Study Data
by Wei Bu·Updated 2mo ago
12.8 KB1files
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Description
Wei Bu's research data on figshare, last updated April 2026, investigates the role of Mucosal-associated invariant T (MAIT) cells in sepsis-related liver injury. The study includes data from a clinical cohort of 47 SRLI patients, 37 NSLI patients, 34 NLIS patients, and 115 healthy controls, alongside a murine model. The 12.8 KB file is a document describing the study's background, methods, results, and conclusions.
Use Cases
Analyze MAIT cell frequency and phenotype changes in sepsis-related liver injury based on flow cytometry data described.
Model the effects of bilirubin on MAIT cell activation and exhaustion based on in vitro assay results.
Compare liver injury severity and inflammatory cytokine levels between wild-type and MAIT-deficient mice based on murine model findings.
Investigate the Th17-like differentiation bias of MAIT cells based on cytokine production profiles (IL-17A, TNF-α, granzyme B).
Strengths
Includes data from a defined clinical cohort of 233 total participants (47 SRLI, 37 NSLI, 34 NLIS, 115 HC).
Combines human clinical data with a controlled murine model for experimental validation.
Released under a permissive CC-BY-4.0 license for reuse.
Limitations
The primary data file is a 12.8 KB DOCX document; the underlying raw numerical or tabular data is not directly accessible.
Row count and column-level documentation are unknown; data structure and semantics must be inferred from the text.
Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
Wei Bu via figshare
Collection Method
Clinical cohort study and murine model experiments, with MAIT cells characterized by flow cytometry.
Time Range
Study period not specified; dataset updated April 2026.
Freshness
Last updated 2026-04-15 05:44:19; freshness should be verified.
Geography
Geographic origin of the clinical cohort not specified.
Data is embedded within a DOCX document; extraction of structured data may require manual effort.