ArticleNature communications2024
Multimodal single cell-resolved spatial proteomics reveal pancreatic tumor heterogeneity.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
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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.
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Who cites it
37 citing papers in PubMed.
- Periductal Fibroblast Density Defines Lymphocyte Exclusion via a CD44-Dependent Stromal Checkpoint in Pancreatic Cancer.Cancer immunology research · 2026Article
- Article
- Post‑translational modification‑governed immune states in cancer immunity: Biomarker implications for checkpoint competence, tumor visibility and immunotherapy resistance (Review).International journal of oncology · 2026Review
- Decoding neuro-tumor interactions in pancreatic cancer: mechanisms, immunosuppressive networks and therapeutic opportunities.Molecular biomedicine · 2026Review
- DeepPlaque: a scalable multimodal platform for Aβ pathology and cell analysis in Alzheimer's disease.EMBO molecular medicine · 2026Article
- Proteomic investigation of signaling dynamics: from static maps to network rewiring.Bioscience reports · 2026Review
- Integrated LiP-MS and quantitative proteomics reveal coordinated alterations in protein conformation and expression across tumor and peritumoral regions in hepatocellular carcinoma.Scientific reports · 2026Article
- NicheProt: Cell-type-resolved proteomics of tissue compartments.Science advances · 2026Article
- Odon: an ultra-fast viewer for spatial proteomics.Bioinformatics (Oxford, England) · 2026Article
- AI-Powered Deep Visual Proteomics Reveals Critical Molecular Transitions in Pancreatic Cancer Precursors.Cancer discovery · 2026Article
- A Micro-Quantitative and FFPE-Compatible Workflow for Immunohistochemistry-Guided Spatial Proteomic Analysis of Cellular Subpopulations Within the Tumor Microenvironment.Bioengineering (Basel, Switzerland) · 2026Article
- Sequential MALDI-MSI-Based Multiomics Reveals Spatial Lipid, Glycan, and Tryptic Peptide Signatures in Breast Tumor Histopathology.Analytical chemistry · 2026Article
- A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Comparative Proteomic Profiling of Microdissected Spindle and Epithelioid Uveal Melanoma Subtypes.Investigative ophthalmology & visual science · 2026Article
- Early cellular plasticity promotes progression and dissemination in pancreatic adenocarcinoma.Cancer metastasis reviews · 2026Review
- SR2P: an efficient stacking method to predict protein abundance from gene expression in spatial transcriptomics data.bioRxiv : the preprint server for biology · 2026Article
- Dynamic Decoration of DNA Scaffolds for High-Resolution Cancer Cell Subtyping.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Spatial phosphoproteomics reveals regional phosphorylation features in liver cirrhosis progression.Journal of translational medicine · 2026Article
- Recent advances in structural and functional diversities of cancer lncRNA-encoded peptides: current opportunities and challenges for enhancing cancer diagnosis and treatment.Cancer cell international · 2026Review
- Spatial proteomics: technical evolution and applications in cancer research.Frontiers in cell and developmental biology · 2026Review
Corrections and comments
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Authors and funding
17 authors.
Funding
Abstract
Despite the advances in antibody-guided cell typing and mass spectrometry-based proteomics, their integration is hindered by challenges for processing rare cells in the heterogeneous tissue context. Here, we introduce Spatial and Cell-type Proteomics (SCPro), which combines multiplexed imaging and flow cytometry with ion exchange-based protein aggregation capture technology to characterize spatial proteome heterogeneity with single-cell resolution. The SCPro is employed to explore the pancreatic tumor microenvironment and reveals the spatial alternations of over 5000 proteins by automatically dissecting up to 100 single cells guided by multi-color imaging of centimeter-scale formalin-fixed, paraffin-embedded tissue slide. To enhance cell-type resolution, we characterize the proteome of 14 different cell types by sorting up to 1000 cells from the same tumor, which allows us to deconvolute the spatial distribution of immune cell subtypes and leads to the discovery of subtypes of regulatory T cells. Together, the SCPro provides a multimodal spatial proteomics approach for profiling tissue proteome heterogeneity.
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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.