ReviewMatrix biology : journal of the International Society for Matrix Biology2020
Spatial-omics: Novel approaches to probe cell heterogeneity and extracellular matrix biology.
Review in Matrix biology : journal of the International Society for Matrix Biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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.
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.
Who cites it
54 citing papers in PubMed.
- Mapping Brain Spatial Metabolic Atlas Reveals Anesthesia-Induced Region-Specific Alterations.Neuroscience bulletin · 2026Article
- Biochemical signals from the extracellular matrix in inflammation and tumour immunology.Nature reviews. Immunology · 2026Review
- Mapping cellular and ECM heterogeneity in pulmonary fibrosis - insights from recent spatiomics studies.Cell biomaterials · 2026Article
- QeITH: Quantifies Tumor Ecosystem Heterogeneity to Predict Cancer Progression and Treatment Benefit.Computational and structural biotechnology journal · 2026Article
- Untangling the fusion of spatial omics and mechanobiology.Progress in biomedical engineering (Bristol, England) · 2025Review
- Reproducibility of Ki67 Haralick entropy as a prognostic marker in estrogen receptor-positive HER2-negative breast cancer.American journal of clinical pathology · 2025Article
- Progenitor Cell Dynamics in Androgenetic Alopecia: Insights from Spatially Resolved Transcriptomics.International journal of molecular sciences · 2025Article
- Article
- Recent Advancements in Smart Hydrogel-Based Materials in Cartilage Tissue Engineering.Materials (Basel, Switzerland) · 2025Review
- Integrated 3D imaging of FFPE lung tissue combining microCT, light and electron microscopy allows for contextualized ultrastructural and histological analysis.Scientific reports · 2025Article
- Spatial Insights in Cardiovascular Aging.Aging and disease · 2025Review
- Spatial Omics in Clinical Research: A Comprehensive Review of Technologies and Guidelines for Applications.International journal of molecular sciences · 2025Review
- High-Throughput Single-Cell Analysis of Local Nascent Protein Deposition in 3D Microenvironments via Extracellular Protein Identification Cytometry (EPIC).Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Applications of Nanotechnology for Spatial Omics: Biological Structures and Functions at Nanoscale Resolution.ACS nano · 2025Review
- Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research.Acta biochimica Polonica · 2025Review
- Article
- Disturbance of Immune Microenvironment in Androgenetic Alopecia through Spatial Transcriptomics.International journal of molecular sciences · 2024Article
- Fibroblast and myofibroblast activation in normal tissue repair and fibrosis.Nature reviews. Molecular cell biology · 2024Review
- Local, Quantitative Morphometry of Fibroproliferative Lung Injury Using Laminin.American journal of respiratory cell and molecular biology · 2024Article
- Advances in Integrated Multi-omics Analysis for Drug-Target Identification.Biomolecules · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Complex intercellular interactions as well as biomolecular and biomechanical cues from the extracellular matrix (ECM) profoundly affect cellular functions. Traditional transcriptomic and proteomic approaches have provided insight into disease progression by identifying discrete cellular subpopulations or microenvironmental signatures characteristic of normal or pathological tissues, however these techniques do not examine how a given cellular state relates to its interactions with neighboring cells or its surrounding ECM with multiparametric characterization (i.e. ECM alignment, mechanical forces, crosslinking, etc.). Emerging spatial-omic techniques can provide high-resolution mapping of expression profiles similar to scRNA-seq and mass spectroscopy directly within tissues. The ability to preserve the spatial context of cells within samples, their cellular geometry, as well as their surrounding ECM gives spatial-omics the opportunity to interrogate previously unexplored signaling modalities, which has the potential to revolutionize ECM research and our understanding of fibrotic diseases. In this review, we present current spatial transcriptomic and proteomic techniques and discuss how they may be applied to investigate cell-ECM interactions.
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Registered trials
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.