Home Immunology Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment
Immunology JoVE (Open Access) Citable · DOI

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

DOI: 10.3791/60740-v
What you'll learn
  • Perform heat-induced antigen retrieval and immunofluorescence labeling on FFPE tumor tissue
  • Apply digital image alignment and tissue segmentation to identify regions of interest
  • Quantify and map immune cell populations using multiparameter analysis
  • Generate spatial heatmaps visualizing immune cell distribution in tumor microenvironment
Protocol

Here, we describe a simple and accessible strategy for visualizing, quantifying, and mapping immune cells in formalin-fixed paraffin-embedded tumor tissue sections. This methodology combines existing imaging and digital analysis techniques with the purpose of expanding the multiplexing capability and multiparameter analysis of imaging assays.

Difficulty
advanced
Total time
~4–6 hours per tissue section (excluding antigen retrieval incubation and staining overnight steps)
Biosafety
BSL-1

Steps

1
Perform heat-induced antigen retrieval on tissue sections

Heat FFPE tissue sections using a standard protocol to expose epitopes for antibody binding. This critical preprocessing step enables subsequent immunofluorescence labeling.

▶ 01:03
2
Block nonspecific antibody binding on tissue

Apply blocking solution to FFPE sections to reduce background and nonspecific staining before immunofluorescence labeling.

▶ 01:46
3
Apply multiplexed immunofluorescence labels to tissue

Incubate tissue sections with primary and fluorescent secondary antibodies targeting immune cell markers to enable multiparameter visualization.

▶ 02:28
4
Align and register digital image layers

Use computational methods to align multichannel fluorescence images and correct spatial drift to ensure accurate colocalization analysis.

▶ 03:36
5
Detect and define tissue boundaries in images

Apply image processing algorithms to identify tumor tissue region and distinguish it from background or non-tissue areas.

▶ 04:36
6
Segment tissue into regions of analysis

Subdivide tissue area into defined regions or compartments to enable spatial quantification of immune populations.

▶ 05:35
7
Identify and quantify cells of interest

Use automated or semi-automated algorithms to detect individual immune cells matching marker criteria and enumerate populations.

▶ 06:28
8
Generate spatial heatmaps of immune cell distribution

Create visual maps displaying the spatial density and localization of immune cell populations across the tumor microenvironment.

▶ 07:15
9
Interpret representative results and imaging outputs

Review and validate representative visualizations, quantifications, and spatial maps demonstrating immune cell heterogeneity in tumor tissue.

▶ 08:10
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