μMap-FFPE: A High-Resolution Protein Proximity Labeling Platform for Formalin-Fixed Paraffin-Embedded Tissue Samples

Noah B Bissonnette1, Marie E Zamanis2, Steve D Knutson1

  • 1Merck Center for Catalysis at Princeton University, Princeton, New Jersey 08544, United States.

Insights

We developed μMap-FFPE, a novel method to map protein interactions in formalin-fixed paraffin-embedded tissues. This technique allows studying cellular microenvironments in preserved patient samples, advancing disease research.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Cell Biology

Background:

  • Understanding disease states requires elucidating small-scale biomolecular protein interaction networks (microenvironments).
  • Photoproximity labeling, such as μMap, offers high-resolution mapping of spatial relationships within subcellular architectures.
  • Existing in vitro models lack the cell-type heterogeneity and 3D structure crucial for clinical relevance.

Purpose of the Study:

  • To develop a photoproximity labeling method compatible with formalin-fixed paraffin-embedded (FFPE) tissues.
  • To enable the study of protein interactions within the native cellular environment of FFPE samples.
  • To compare the CD20 interactome across healthy, cancerous, and patient-derived tissues.

Main Methods:

  • Introduction of μMap-FFPE, a novel labeling system.
  • Adaptation of photoproximity labeling techniques for FFPE tissues, overcoming chemical modification incompatibilities.
  • Application of μMap-FFPE to analyze the CD20 interactome.

Main Results:

  • Successfully adapted photoproximity labeling for FFPE tissues.
  • Enabled comparison of the CD20 interactome in diverse cellular contexts.
  • Demonstrated the utility of μMap-FFPE for studying protein interactions in preserved patient samples.

Conclusions:

  • μMap-FFPE is a valuable tool for mapping protein interactions in FFPE tissues.
  • This method facilitates the study of cellular microenvironments in native tissue architectures.
  • Findings from μMap-FFPE can provide critical clinical insights into disease states.

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