Spatial Frequency Allocation of 77 Cell Types in 19 Human Lymph Nodes

A high-dimensional proteomic dataset maps the spatial organization of cells within healthy human lymph nodes. It was created by Maddalena M. Bolognesi using the MILAN cyclic staining method and BRAQUE bioinformatic pipeline, and was last updated in April 2026. The data comprehensively classifies 77 cell types, including T, B, innate immune, and stromal cells, based on a 78-marker antibody panel.

Use Cases

• Mapping the spatial distribution of immune cell subsets based on protein marker expression profiles.
• Analyzing statistically controlled pairwise neighborhood interactions between cell types.
• Identifying novel landscape niches and cell-cell interactions within lymphoid organs.
• Classifying T-cell subsets based on expression of TCF7 and co-inhibitory receptors.
• Characterizing the location of B-cell types defined by CD5 and TCF7 expression.

Strengths

• Data is derived from 19 human lymph nodes free of pathology, providing a baseline of normal tissue.
• Classification encompasses 77 distinct cell types using a 78-marker antibody panel.
• Analysis includes spatial distribution data and statistically controlled pairwise neighborhood analysis.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The dataset is very small at 83.4 KB, indicating limited scope or highly summarized data.

Provenance

Source

figshare, authored by Maddalena M. Bolognesi.

Collection Method

Hyperplexed cyclic staining method (MILAN) and analytical bioinformatic pipeline (BRAQUE) applied to tissue samples.

Time Range

null

Freshness

Last updated 2026-04-21 17:54:17

Geography

Human tissue samples; specific geographic origin is not stated.