Evidence map›Paper›PMID 41169452›Full record

ArticleChemical & biomedical imaging2025

Highly Sensitive Spatial Proteomics with Multicolor Cleavable Fluorescent Tyramide.

Yi Chen, Yu-Sheng Wang, Joshua Labaer, Jia Guo

Abstract read
In one paragraph

Article in Chemical & biomedical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Emerging technologies in the spatial proteomics landscape.Analytical and bioanalytical chemistry · 2026
    Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yi ChenBiodesign Institute & School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States.
Yu-Sheng WangBiodesign Institute & School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States.
Joshua LabaerBiodesign Institute & School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States.
Jia GuoBiodesign Institute & School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States.ORCID https://orcid.org/0000-0001-8036-5349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-resolution single-cell spatial proteomics offers transformative insights into cellular diversity, architecture, interactions, and functions within complex biological systems. However, the existing multiplexed protein imaging platforms face challenges such as limited detection sensitivity, constrained target multiplexing capacity, or technically demanding. To address these issues, we report a highly sensitive spatial proteomics approach, using multicolor cleavable fluorescent tyramide and off-the-shelf antibodies. This method employs horseradish peroxidase (HRP) to enzymatically deposit distinct fluorophores to stain varied target proteins. Through reiterative cycles of target labeling, fluorescence imaging, and fluorophore cleavage, this approach allows numerous proteins profiled at the optical resolution in the same specimen. Utilizing this technique, we quantified 38 proteins within a human formalin-fixed paraffin-embedded (FFPE) tonsil tissue, which represents the highest target multiplexing capacity achieved to date using tyramide signal amplification (TSA) methods. Analysis of ∼500,000 individual cells in the same tissue revealed distinct cell clusters based on their protein expression profiles and spatial microenvironment. By mapping the cells back to their original tissue locations, we observed specific tissue subregions are composed of unique cell clusters. Furthermore, we also studied the cell-cell interactions and found the cells from the same cluster often showed strong association, while the cells in the varied clusters usually avoided contact.

Indexed as

imagingImmunofluorescenceImmunohistochemistrymultiplexsingle-cell

Identifiers

PMID41169452
PMCPMC12569955

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.