Imaging Mass Cytometry of the Immune Microenvironment in Alveolar Echinococcosis

Yanyan Ma's dataset provides spatially resolved immune profiling data from liver tissue sections of six patients with alveolar echinococcosis. It includes imaging mass cytometry data comparing lesion-proximal and lesion-distal regions, profiling 16 immune cell types and immune checkpoint expression. The dataset was last updated on 2026-05-08.

Use Cases

• Analyze spatial distribution patterns of immune cell types based on the described 16 resolved cell populations.
• Investigate correlations between myeloid and lymphoid cell populations based on the described negative correlation between M2 macrophages and T cells.
• Study immune checkpoint molecule expression and co-localization based on the described PD-1/PD-L1 and CD47 distribution.
• Compare immune microenvironment subtypes based on the described TIMELASER classification system.
• Examine age-related differences in neutrophil infiltration based on the described comparison between pediatric and adult patients.

Strengths

• Data profiles 16 distinct immune cell types, providing high-dimensional cellular resolution.
• Includes comparative analysis from six patients with confirmed disease, offering a multi-sample perspective.
• Integrates complementary immunofluorescence and immunohistochemistry data for validation.
• Data is spatially resolved, enabling analysis of tissue architecture and cell localization.

Limitations

• Dataset size is 151.4 KB, indicating a very limited scope of data.
• Row count and column-level documentation are unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific six-patient sample from the figshare platform.

Provenance

Source

Yanyan Ma via figshare.

Collection Method

High-dimensional imaging mass cytometry performed on liver tissue sections from six patients.

Freshness

Last updated 2026-05-08 05:56:02; freshness should be verified.