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Related Experiment Video

Updated: Jun 10, 2025

Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma
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Multiplexed Immunophenotyping of Lymphoma Tissue Samples.

Christina Schniederjohann1,2,3,4,5, Peter-Martin Bruch1,2,3,4, Sascha Dietrich6,7,8,9

  • 1Department of Hematology, Oncology and Clinical Immunology, University Hospital Düsseldorf, Düsseldorf, Germany.

Methods in Molecular Biology (Clifton, N.J.)
|October 18, 2024
PubMed
Summary

High-plex imaging, like CO-Detection by IndEXing (CODEX), reveals cellular details in lymphoma tissue. This technique enhances understanding of tumor and microenvironment interactions for better diagnostics and therapies.

Keywords:
CO-Detection by IndEXing (CODEX)DNA oligonucleotidesMicroenvironmentMultiplexed immunofluorescenceSpatial immunophenotypingTumor subpopulations

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Area of Science:

  • Biomedical Imaging
  • Immunohistochemistry
  • Molecular Pathology

Background:

  • High-plex imaging allows detailed analysis of cellular phenotypes and interactions in tissue biopsies.
  • Lymphoma research benefits from single-cell resolution to understand tumor and microenvironmental components.
  • Investigating biological mechanisms and biomarkers requires advanced imaging techniques.

Purpose of the Study:

  • To provide an overview of key steps in a CO-Detection by IndEXing (CODEX) project.
  • To share a CODEX protocol and experience with FFPE tissue samples for lymphoma research.
  • To encourage wider adoption of CODEX for improved lymphoma diagnostics and therapy.

Main Methods:

  • Antibody panel design for high-plex imaging.
  • Cohort selection for tissue sample analysis.
  • Staining, imaging, and data analysis procedures for CODEX.

Main Results:

  • Detailed characterization of cellular phenotypes and interactions in lymphoma.
  • Insights into spatial dynamics of tumor and microenvironmental cells.
  • Demonstration of CODEX applicability on FFPE tissue samples.

Conclusions:

  • CODEX is a powerful technique for lymphoma research, offering single-cell resolution.
  • The shared protocol facilitates wider use and deeper understanding of lymphoma biology.
  • Enhanced insight into cellular composition and spatial dynamics can improve diagnostics and therapy.