Evidence map›Paper›PMID 39443867›Full record

ArticleClinical proteomics2024

SPOT: spatial proteomics through on-site tissue-protein-labeling.

Yuanwei Xu, T Mamie Lih, Angelo M De Marzo, Qing Kay Li, Hui Zhang

Abstract read
In one paragraph

Article in Clinical proteomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Single-Cell Protein Assays in Context: From 2D to 3D and In Situ Analysis.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026
    Review
  3. Article
  4. Article
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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

5 authors.

Yuanwei XuDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
T Mamie LihDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Angelo M De MarzoDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Qing Kay LiDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. qli23@jhmi.edu.
Hui ZhangDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. huizhang@jhu.edu.

Funding

Proteogenomic Characterization of Tumor Tissues and Preclinical Models with High PrecisionU24CA271079 · NCI · JOHNS HOPKINS UNIVERSITY · PI DANIEL Wanyui CHAN, Hui Zhang · 2022 to 2026
$6.6M
Biomarker Reference LaboratoryU2CCA271895 · NCI · JOHNS HOPKINS UNIVERSITY · PI DANIEL Wanyui CHAN · 2023 to 2026
$4.6M
Development of a panel of multiplex biomarkers for the early detection of pancreatic ductal adenocarcinoma and high-risk lesionsU01CA274514 · NCI · JOHNS HOPKINS UNIVERSITY · PI Randall Brand, DANIEL Wanyui CHAN · 2023 to 2026
$3.2M
NCI NIH HHS U01 CA274514NCI NIH HHS U24 CA271079NCI NIH HHS U2C CA271895NIH HHS U2C CA271895
6 · The paper itself

Abstract

backgroundSpatial proteomics seeks to understand the spatial organization of proteins in tissues or at different subcellular localization in their native environment. However, capturing the spatial organization of proteins is challenging. Here, we present an innovative approach termed Spatial Proteomics through On-site Tissue-protein-labeling (SPOT), which combines the direct labeling of tissue proteins in situ on a slide and quantitative mass spectrometry for the profiling of spatially-resolved proteomics. MATERIALS AND

methodsEfficacy of direct TMT labeling was investigated using seven types of sagittal mouse brain slides, including frozen tissues without staining, formalin-fixed paraffin-embedded (FFPE) tissues without staining, deparaffinized FFPE tissues, deparaffinized and decrosslinked FFPE tissues, and tissues with hematoxylin & eosin (H&E) staining, hematoxylin (H) staining, eosin (E) staining. The ability of SPOT to profile proteomes at a spatial resolution was further evaluated on a horizontal mouse brain slide with direct TMT labeling at eight different mouse brain regions. Finally, SPOT was applied to human prostate cancer tissues as well as a tissue microarray (TMA), where TMT tags were meticulously applied to confined regions based on the pathological annotations. After on-site direct tissue-protein-labeling, tissues were scraped off the slides and subject to standard TMT-based quantitative proteomics analysis.

resultsTissue proteins on different types of mouse brain slides could be directly labeled with TMT tags. Moreover, the versatility of our direct-labeling approach extended to discerning specific mouse brain regions based on quantitative outcomes. The SPOT was further applied on both frozen tissues on slides and FFPE tissues on TMAs from prostate cancer tissues, where a distinct proteomic profile was observed among the regions with different Gleason scores.

conclusionsSPOT is a robust and versatile technique that allows comprehensive profiling of spatially-resolved proteomics across diverse types of tissue slides to advance our understanding of intricate molecular landscapes.

Indexed as

Mass spectrometryProstate cancerSpatial proteomicsTissue-protein-labeling

Identifiers

PMID39443867
PMCPMC11515502

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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.