Evaluation and application of chemical decrosslinking in the context of histopathological spatial proteomics

Laser capture microdissection (LCM) - based spatial mass spectrometry proteomics is a rapidly emerging technique with strong potential for use in formalin-fixed, paraffin-embedded (FFPE) tissues. Several sample-preparation methods have been developed to decrosslink FFPE proteins for spatial proteomics; however, residual crosslinks often remain, and depth can remain impaired relative to fresh frozen tissue samples. To increase proteome coverage in spatially resolved LCM-FFPE samples, we investigated a panel of chemical compounds with the potential to catalyze the decrosslinking of nucleophilic functional groups on proteins. Systematic screening and optimization of temperature, incubation time, and reagent concentration led to the identification of 3,4-diaminobenzoic acid as an effective agent for improving proteome coverage in FFPE pancreatic tissue. This compound could boost precursor identifications by more than 10% at both reduced (70 °C) and high (90 °C) temperatures. Application of this chemical-decrosslinking strategy to a pancreatic ductal adenocarcinoma tissue section enabled the identification of numerous cell-type-enriched proteins with clinical and therapeutic relevance. Taken together, our findings show that chemical decrosslinking can increase proteome coverage in FFPE tissues, thereby advancing our understanding of tissue microenvironments in physiological and pathological contexts.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-02-09
DOI
https://doi.org/10.64898/2026.02.06.704439
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation and application of chemical decrosslinking in the context of histopathological spatial proteomics

Shaun M. Goodyear, Andikan J. Nwosu, Adel Kardosh, Rashmi Kumar et al.
bioRxiv (Cold Spring Harbor Laboratory)
Advanced Proteomics Techniques and Applications
article

Evaluation and application of chemical decrosslinking in the context of histopathological spatial proteomics

Shaun M. Goodyear, Andikan J. Nwosu, Adel Kardosh, Rashmi Kumar, Liang Chen, Yumi Kwon, Ljiljana Pasa-Tolic, James M Fulcher
article en

Abstract

Laser capture microdissection (LCM) - based spatial mass spectrometry proteomics is a rapidly emerging technique with strong potential for use in formalin-fixed, paraffin-embedded (FFPE) tissues. Several sample-preparation methods have been developed to decrosslink FFPE proteins for spatial proteomics; however, residual crosslinks often remain, and depth can remain impaired relative to fresh frozen tissue samples. To increase proteome coverage in spatially resolved LCM-FFPE samples, we investigated a panel of chemical compounds with the potential to catalyze the decrosslinking of nucleophilic functional groups on proteins. Systematic screening and optimization of temperature, incubation time, and reagent concentration led to the identification of 3,4-diaminobenzoic acid as an effective agent for improving proteome coverage in FFPE pancreatic tissue. This compound could boost precursor identifications by more than 10% at both reduced (70 °C) and high (90 °C) temperatures. Application of this chemical-decrosslinking strategy to a pancreatic ductal adenocarcinoma tissue section enabled the identification of numerous cell-type-enriched proteins with clinical and therapeutic relevance. Taken together, our findings show that chemical decrosslinking can increase proteome coverage in FFPE tissues, thereby advancing our understanding of tissue microenvironments in physiological and pathological contexts.

bioRxiv (Cold Spring Harbor Laboratory)
Pacific Northwest National Laboratory (US), Oregon Health & Science University (US), Environmental Molecular Sciences Laboratory (US), OHSU Knight Cancer Institute
U.S. Department of Energy, National Institutes of Health, Biological and Environmental Research
Openalex Percentile: Top 63%
Advanced Proteomics Techniques and Applications
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