Patient Demographics and Disease Characteristics for Chronic Lymphocytic Leukemia Study

Julie David's dataset on figshare contains patient demographics and disease characteristics for a study on chronic lymphocytic leukemia (CLL) and γδ T cell immunotherapy. The data, last updated on 2026-04-20, is stored in a 9.5 KB XLS file. The study compares CLL patients with age-matched healthy donors, analyzing cell frequencies and expression levels.

Use Cases

• Compare γδ T cell subset frequencies between CLL patients and healthy donors based on flow cytometry data mentioned in the description.
• Analyze the effects of ATRA and AM580 treatments on CD1d and ULBP3 expression levels on B cells.
• Investigate correlations between patient demographics and disease characteristics in the context of CLL.
• Assess cytotoxicity outcomes from co-culture experiments of γδ T cells with B cells.

Strengths

• Data is openly licensed under CC-BY-4.0, permitting reuse and redistribution.
• The dataset is focused on a specific, well-described research context involving CLL patients and healthy donors.
• File size is 9.5 KB, indicating a compact and likely manageable dataset for initial inspection.

Limitations

• Row count is unknown, which may limit suitability assessment for statistical analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's small size suggests a limited scope, potentially containing summary or aggregated results rather than raw patient-level data.

Provenance

Source

Julie David, published on figshare.

Collection Method

Data likely generated from peripheral blood samples using magnetic bead separation and flow cytometry, as described.

Time Range

null

Freshness

Last updated 2026-04-20 17:46:45; freshness should be verified.

Geography

null