Imaging Mass Cytometry of the Immune Microenvironment in Alveolar Echinococcosis

Six patient liver tissue sections were analyzed using high-dimensional imaging mass cytometry to profile the immune landscape in alveolar echinococcosis. The dataset, authored by Yanyan Ma and last updated in May 2026, resolves sixteen immune cell types and their spatial distributions, comparing lesion-proximal and lesion-distal regions. It includes complementary immunofluorescence and immunohistochemistry data evaluating age-related differences in neutrophil subsets.

Use Cases

• Analyze spatial heterogeneity and immune cell infiltration patterns based on the resolved sixteen cell types and their distinct distributions.
• Study immune checkpoint expression and immunosuppressive mechanisms based on the profiling of PD-1/PD-L1, CD47, NKG2A, and TIGIT.
• Investigate myeloid–lymphoid crosstalk and T cell exhaustion based on the correlations between M2 macrophages, T cells, and neutrophil subsets.
• Compare age-related immune responses based on the higher densities of CD15+ and CD15- neutrophils observed in pediatric versus adult patients.

Strengths

• High-dimensional spatial profiling enabled by imaging mass cytometry on tissue from six patients.
• Sixteen distinct immune cell types were resolved, revealing specific spatial patterns and correlations.
• Includes complementary validation data from immunofluorescence and immunohistochemistry.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small in scale (294.7 KB), indicating limited raw data volume.

Provenance

Source

figshare

Collection Method

Imaging mass cytometry performed on liver tissue sections from six patients with histologically confirmed alveolar echinococcosis.

Time Range

Patient sample collection date is unknown.

Freshness

Last updated 2026-05-08 05:56:03; freshness should be verified.

Geography

Patient geography is unknown.