Spatial Distribution and Characterization of Mouse Lymphoid Tissue Using Fully Automated Multiplex Immunofluorescence on COMETTM 3909

Abstract Description Spatial biology is rapidly emerging as a powerful tool for deepening our knowledge of the complex, dynamic nature of tissue-specific immune responses. It involves investigating the interactions between lymphoid cells, antigen-presenting cells, and non-lymphoid cells within tissues. Multiplex immunohistochemistry (IHC) and immunofluorescence (IF) are ideal techniques for characterizing the spatial aspects of immune responses. To streamline accurate marker detection, emerging automated staining and imaging platforms require qualified antibodies with platform-specific and proven specificity and sensitivity. Using IHC antibodies from R&D SystemsTM, we used a systematic process to qualify antibodies for use on the Lunaphore COMET™ platform in murine lymphoid tissue. COMETTM offers a novel sequential immunofluorescence (seqIF™) approach that utilizes cycles of staining, imaging, and elution with unconjugated primary antibodies and fluorescently labeled secondary antibodies. In this study, we distinguish important cell types, including pan-cytokeratin+ epithelial cells, CD45+ hematopoietic cells, and CD31+ endothelial cells. Simultaneously, we can further characterize hematopoietic cells using phenotypic markers, including Ki67, the regulatory transcription factor FoxP3, and the activation marker CD86. This approach provides a powerful platform for characterizing tissue-specific immune responses, differentiating disease states, and identifying potential therapeutic targets. Topic Categories Technological Innovations in Immunology (TECH)

Authors

Institutions

Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.1655
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial Distribution and Characterization of Mouse Lymphoid Tissue Using Fully Automated Multiplex Immunofluorescence on COMETTM 3909

Brandon Wagner, Ashley Oliver, Emily J. Cartwright, Alex Kalyuzhny et al.
The Journal of Immunology
Single-cell and spatial transcriptomics
article

Spatial Distribution and Characterization of Mouse Lymphoid Tissue Using Fully Automated Multiplex Immunofluorescence on COMETTM 3909

Brandon Wagner, Ashley Oliver, Emily J. Cartwright, Alex Kalyuzhny, Jodi Hagen, Ruha Adelkar
article en

Abstract

Abstract Description Spatial biology is rapidly emerging as a powerful tool for deepening our knowledge of the complex, dynamic nature of tissue-specific immune responses. It involves investigating the interactions between lymphoid cells, antigen-presenting cells, and non-lymphoid cells within tissues. Multiplex immunohistochemistry (IHC) and immunofluorescence (IF) are ideal techniques for characterizing the spatial aspects of immune responses. To streamline accurate marker detection, emerging automated staining and imaging platforms require qualified antibodies with platform-specific and proven specificity and sensitivity. Using IHC antibodies from R&D SystemsTM, we used a systematic process to qualify antibodies for use on the Lunaphore COMET™ platform in murine lymphoid tissue. COMETTM offers a novel sequential immunofluorescence (seqIF™) approach that utilizes cycles of staining, imaging, and elution with unconjugated primary antibodies and fluorescently labeled secondary antibodies. In this study, we distinguish important cell types, including pan-cytokeratin+ epithelial cells, CD45+ hematopoietic cells, and CD31+ endothelial cells. Simultaneously, we can further characterize hematopoietic cells using phenotypic markers, including Ki67, the regulatory transcription factor FoxP3, and the activation marker CD86. This approach provides a powerful platform for characterizing tissue-specific immune responses, differentiating disease states, and identifying potential therapeutic targets. Topic Categories Technological Innovations in Immunology (TECH)

The Journal of ImmunologyVol. 214(Supplement_1)
Technova Corporation (United States) (US)
National Institutes of Health, National Institute of Allergy and Infectious Diseases
Openalex Percentile: Top 68%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Spatial Distribution and Characterization of Mouse Lymphoid Tissue Using Fully Automated Multiplex Immunofluorescence on COMETTM 3909 — Brandon Wagner, Ashley Oliver, et al. · The Journal of Immunology (2025) | TGRS Research Map | TGRS