Back

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

Nwosu, A. J.; Chen, L.; Kumar, R.; Kwon, Y.; Goodyear, S. M.; Kardosh, A.; Fulcher, J. M.; Pasa-Tolic, L.

2026-02-09 cancer biology
10.64898/2026.02.06.704439 bioRxiv
Show 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 {degrees}C) and high (90 {degrees}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.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Analytical Chemistry
205 papers in training set
Top 0.2%
14.8%
2
Journal of Proteome Research
215 papers in training set
Top 0.2%
14.5%
3
Molecular & Cellular Proteomics
158 papers in training set
Top 0.2%
12.6%
4
Clinical Proteomics
10 papers in training set
Top 0.1%
6.4%
5
PROTEOMICS
35 papers in training set
Top 0.1%
6.4%
50% of probability mass above
6
PLOS ONE
4510 papers in training set
Top 36%
4.0%
7
Nature Communications
4913 papers in training set
Top 39%
3.6%
8
Scientific Reports
3102 papers in training set
Top 53%
1.9%
9
Communications Biology
886 papers in training set
Top 7%
1.8%
10
ACS Nano
99 papers in training set
Top 2%
1.7%
11
Biosensors and Bioelectronics
52 papers in training set
Top 0.9%
1.5%
12
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 5%
1.5%
13
Journal of Proteomics
27 papers in training set
Top 0.3%
1.2%
14
Angewandte Chemie International Edition
81 papers in training set
Top 3%
1.0%
15
EMBO Molecular Medicine
85 papers in training set
Top 3%
0.9%
16
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 6%
0.8%
17
Molecules
37 papers in training set
Top 2%
0.8%
18
Cell Reports Methods
141 papers in training set
Top 5%
0.8%
19
iScience
1063 papers in training set
Top 32%
0.8%
20
eLife
5422 papers in training set
Top 59%
0.7%
21
Cancers
200 papers in training set
Top 6%
0.5%
22
Genome Biology
555 papers in training set
Top 9%
0.5%
23
Frontiers in Chemistry
14 papers in training set
Top 0.6%
0.5%
24
Cell Systems
167 papers in training set
Top 15%
0.5%
25
Cancer Research Communications
46 papers in training set
Top 2%
0.5%
26
Neoplasia
22 papers in training set
Top 0.9%
0.5%
27
ACS Omega
90 papers in training set
Top 5%
0.5%
28
Journal of Translational Medicine
46 papers in training set
Top 4%
0.5%
29
Advanced Science
249 papers in training set
Top 23%
0.5%