Multiparameter Antigen-Specific T-Cell Immunoprofiling in IGRA-Negative Subjects

A study of 54 Interferon-γ release assay (IGRA) and tuberculin skin test (TST) negative subjects, including 27 individuals at risk for prior Mycobacterium tuberculosis exposure. The dataset, authored by Balaji Pathakumari and shared via figshare, uses flow cytometric multiparameter profiling of T-cell activation markers to differentiate between potentially exposed and unexposed individuals. The data was last updated on 2026-05-01.

Use Cases

• Identify novel T-cell activation signatures for tuberculosis exposure based on flow cytometric profiling of CD4+ and CD8+ T-cells.
• Validate immunoprofiling assays for detecting prior Mycobacterium tuberculosis exposure based on responses to RD1 peptides and PPD antigens.
• Train machine learning models to classify infection status based on polyfunctional T-cell subset data mentioned in the description.

Strengths

• Includes data from 54 IGRA(-)/TST(-) subjects, providing a specific cohort for analysis.
• Results include statistically significant ROC analysis with AUCs >0.7 for certain antigen responses.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small in scale at 294.3 KB.

Provenance

Source

figshare

Collection Method

Flow cytometric multiparameter profiling of T-cell activation markers in peripheral blood.

Freshness

Last updated 2026-05-01 05:25:06; freshness should be verified.