Data Sheet 1_Differential expression of immune activation markers in T cells from patients

Bone marrow samples from 18 newly diagnosed multiple myeloma patients and 12 healthy controls were analyzed via multiparameter flow cytometry. The dataset, authored by Jiaoya Lin and last updated on 2026-05-20, reveals differences in T cell subset composition and activation marker frequencies. It is a small dataset (169.7 KB) shared under a CC-BY-4.0 license on figshare.

Use Cases

• Compare T cell subset proportions (e.g., CD4+ central memory vs. effector memory) between multiple myeloma patients and healthy controls based on the described results.
• Analyze differential expression of activation markers (CD95, CD278, HLA-DR) across T cell subsets in the bone marrow tumor microenvironment.
• Investigate potential immune correlates of disease or therapy resistance in multiple myeloma based on the identified T cell activation profiles.

Strengths

• Includes data from a defined cohort of 18 patients and 12 matched healthy controls.
• Analyzes specific T cell subsets and activation markers (CD95, CD278, HLA-DR) as detailed in the description.
• Shared under a permissive CC-BY-4.0 license, facilitating reuse.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is very small (169.7 KB), indicating limited scope.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare, author Jiaoya Lin.

Collection Method

Multiparameter flow cytometry analysis of bone marrow samples.

Freshness

Last updated 2026-05-20 05:44:06; freshness should be verified.