Evidence map›Paper›PMID 40334745›Full record

ArticleMolecular & cellular proteomics : MCP2025

Proximity Labeling and SILAC-Based Proteomic Approach Identifies Proteins at the Interface of Homotypic and Heterotypic Cancer Cell Interactions.

Nazan Saner, Ceren Uzun, Büşra Aytül Kırım, Sena Nur Özkan, Daniel Jon Geiszler, Ece Öztürk, Nurcan Tunçbağ, Nurhan Özlü

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 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

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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.

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

2 citing papers in PubMed.

  1. Review
  2. Review
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

8 authors.

Nazan SanerDepartment of Molecular Biology and Genetics, Koç University, İstanbul, Türkiye. Electronic address: nsaner@ku.edu.tr.
Ceren UzunDepartment of Chemical and Biological Engineering, Koç University, İstanbul, Türkiye.
Büşra Aytül KırımDepartment of Molecular Biology and Genetics, Koç University, İstanbul, Türkiye.
Sena Nur ÖzkanKoç University Research Center for Translational Medicine (KUTTAM), Koç University, İstanbul, Türkiye.
Daniel Jon GeiszlerDepartment of Molecular Biology and Genetics, Koç University, İstanbul, Türkiye.
Ece ÖztürkKoç University Research Center for Translational Medicine (KUTTAM), Koç University, İstanbul, Türkiye; Department of Medical Biology, School of Medicine, Koç University, İstanbul, Türkiye.
Nurcan TunçbağDepartment of Chemical and Biological Engineering, Koç University, İstanbul, Türkiye.
Nurhan ÖzlüDepartment of Molecular Biology and Genetics, Koç University, İstanbul, Türkiye; Koç University Research Center for Translational Medicine (KUTTAM), Koç University, İstanbul, Türkiye. Electronic address: nozlu@ku.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-cell interactions are critical for the growth of organisms and maintaining homeostasis. In the tumor microenvironment, these interactions promote cancer progression. Given their importance in healthy and diseased conditions, we have developed a method to analyze the cell-to-cell interactome. Our approach uses enzyme-catalyzed proximity labeling and SILAC-based proteomics to identify the proteins involved in cancer cell interactions. By targeting HRP to the outer leaflet of the plasma membrane in bait cells, we were able to label the neighboring prey cells and distinguish between the proteomes of bait and prey cells using SILAC labeling in a coculture system. We mapped both the homotypic and heterotypic interactomes of epithelial and mesenchymal breast cancer cells. The enrichment of cell surface and extracellular proteins confirms the specificity of our methodology. We further verified selected hits from different cell-cell interactomes in cocultures using microscopy. This method revealed prominent signaling pathways orchestrating homotypic and heterotypic interactions of epithelial and mesenchymal cells. It also highlights the importance of exosomes in these interactions. Our methodology can be applied to any type of cell-cell interaction in 2D coculture or 3D tumor models.

Indexed as

Breast NeoplasmsCell CommunicationIsotope LabelingProteomicsCell Line, TumorCoculture TechniquesFemaleHumansProteomeProteomecell-cell interactionproteomicsproximity labelingsignaling pathwaysSILAC

Identifiers

PMID40334745
PMCPMC12289527

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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.