Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Combining spatial transcriptomics and ECM imaging in 3D for mapping cellular interactions in the tumor microenvironment

11 Apr 2025

Abstract excerpt

Tumors are complex ecosystems composed of malignant and non-malignant cells embedded in a dynamic extracellular matrix (ECM). In the tumor microenvironment, molecular phenotypes are controlled by cell-cell and ECM interactions in 3D cellular neighborhoods (CNs). While their inhibition can impede tumor progression, routine molecular tumor profiling fails to capture cellular interactions. Single-cell spatial...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer Cells and Metastasis
Share to Cell Image Analysis Techniques
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40220761
DOI: 10.1016/j.cels.2025.101261

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Combining spatial transcriptomics and ECM imaging in 3D for mapping cellular interactions in the tumor microenvironmentPMID 40220761Read ↗

High-resolution molecular atlas of a lung tumor in 3DSemantic proximity Read ↗

Spatial transcriptomics uncovers immune-cell plasticity and dedifferentiation signatures in aggressive lung adenocarcinoma subtypesSemantic proximity Read ↗

Technique integration of single-cell RNA sequencing with spatially resolved transcriptomics in the tumor microenvironmentSemantic proximity Read ↗

Spatiotemporal Profiling Unveiling the Cellular Organization Patterns and Local Protumoral Immune Microenvironment Remodeling in Early Lung Adenocarcinoma ProgressionSemantic proximity Read ↗

Integrated multi-omics reveals cellular and molecular interactions governing the invasive niche of basal cell carcinomaSemantic proximity Read ↗

Pan-Cancer Spatial Profiling Reveals Conserved Subtypes and Niches of Cancer-Associated FibroblastsSemantic proximity Read ↗

Multi-Omics Reveals Activated Fibroblasts with Dual Functional Roles in Repair and Negative Barrier in the CD8 <sup>+</sup> T Cell Cytotoxic Niche for Lung Cancer Neoadjuvant TherapySemantic proximity Read ↗

pheno-seq – linking morphological features to gene expression in 3D cell culture systemsSemantic proximity Read ↗

Phenotype molding of stromal cells in the lung tumor microenvironment.Semantic proximity Read ↗

Spatial omics for profiling the dynamic tumor microenvironmentSemantic proximity Read ↗

Single-Cell Analysis Identifies NOTCH3-Mediated Interactions between Stromal Cells That Promote Microenvironment Remodeling and Invasion in Lung AdenocarcinomaSemantic proximity Read ↗

Deciphering Cellular Ecosystems Driving Tumor Progression and Immune Escape from Spatial Transcriptomics and Single-Cell with COMPOTESSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.