Effects of testosterone and estrogen on human CD4+ T-cell subsets during gender-affirming

34 participants (19 transmen and 15 transwomen) provided peripheral blood samples at baseline and after 3 months of gender-affirming hormone therapy. CD4⁺ T cells were characterized using 14-color flow cytometry and clustered into 20 biologically annotated metaclusters. Sebastian Riemann published this dataset on figshare in 2026 under a CC-BY-4.0 license.

Use Cases

• Train models to predict immune cell subset changes based on hormone therapy protocols using the provided feature matrix.
• Benchmark unsupervised clustering algorithms for flow cytometry data against the included trained FlowSOM model.
• Analyze longitudinal changes in CD4⁺ T-cell abundances in response to testosterone or estrogen administration.
• Investigate canonical marker expression patterns across 20 biologically annotated metaclusters of T-cells.

Strengths

• Includes a trained FlowSOM model and a feature matrix, providing both raw data and a processed analytical artifact.
• Data from 34 participants collected at two time points enables paired longitudinal analysis.
• Standardized 14-color flow cytometry panel (EuroFlow) suggests consistent, high-dimensional cell characterization.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for some modeling tasks.
• The 345.1 MB size and RDS format require specific tools (R) for full access and analysis.

Provenance

Source

Sebastian Riemann via figshare.

Collection Method

Peripheral blood samples analyzed via standardized 14-color flow cytometry, with preprocessing and unsupervised clustering via FlowSOM.

Time Range

Samples collected at baseline and after 3 months of therapy.

Freshness

Last updated 2026-05-27 10:01:20; freshness should be verified.