Multiparameter Antigen-Specific Immunoprofiling in IGRA/TST-Negative Subjects

Balaji Pathakumari published a dataset on figshare in 2026 containing flow cytometric immunoprofiling data from 54 subjects. The data was collected to differentiate between tuberculosis-unexposed individuals and those with potential Mycobacterium tuberculosis exposure, despite negative standard test results. It includes measurements of T-cell activation markers after stimulation with specific antigens.

Use Cases

• Identify novel immune signatures for tuberculosis exposure based on flow cytometric profiling of T-cell activation markers.
• Train classifiers to differentiate exposed from unexposed individuals based on antigen-specific T-cell responses.
• Validate the performance of new immunoprofiling assays using the provided ROC analysis metrics.
• Investigate polyfunctional T-cell subsets as potential correlates of prior mycobacterial exposure.

Strengths

• Includes data from 54 subjects, with 27 categorized as at-risk for prior exposure.
• Reports specific statistical results, including AUC values >0.7 and P-values <0.05 for key markers.
• Focuses on a clinically relevant population with negative standard test results.

Limitations

• Dataset size is small at 213.2 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

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

Freshness

Last updated 2026-05-01 05:25:05