Imaging Mass Cytometry of the Immune Microenvironment in Alveolar Echinococcosis

Imaging mass cytometry data from liver tissue sections of six patients with alveolar echinococcosis. The dataset profiles 16 immune cell types and immune checkpoint molecules across lesion-proximal and lesion-distal regions. It was created by Yanyan Ma and last updated on 2026-05-08.

Use Cases

• Analyze spatial organization of immune cell types based on the 16 resolved cell populations.
• Investigate immune checkpoint expression patterns based on PD-1, PD-L1, CD47, NKG2A, and TIGIT markers.
• Compare immune microenvironment subtypes based on the TIMELASER classification system.
• Study age-related differences in neutrophil subsets based on pediatric versus adult patient data.

Strengths

• Data is derived from six patient samples with histologically confirmed disease.
• Profiles 16 distinct immune cell types with high-dimensional spatial resolution.
• Includes complementary immunofluorescence and immunohistochemistry validation.

Limitations

• Dataset is small, with a file size of 116.4 KB, indicating limited scope.
• Row count and column-level documentation are unknown.
• Data may reflect bias inherent to the specific six-patient sample.

Provenance

Source

figshare

Collection Method

High-dimensional imaging mass cytometry performed on human liver tissue sections.

Freshness

Last updated 2026-05-08 05:56:04