ReviewMatrix biology : journal of the International Society for Matrix Biology2025
Basement membrane structure and function: Relating biology to mechanics.
Review in Matrix biology : journal of the International Society for Matrix Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Understanding and targeting the tumour matrisome.Nature reviews. Clinical oncology · 2026Review
- Collagen IV of basement membrane: V. Bromide-mediated sulfilimine bonds interlock the quaternary structure of NC1-hexamer of scaffolds enabling metazoan evolution.The Journal of biological chemistry · 2026Article
- MatriSpace: Identification and visualization of spatially resolved ECM gene expression patterns in health and disease.bioRxiv : the preprint server for biology · 2026Article
- Collagen IV of basement membrane: V. Bromide-mediated sulfilimine bonds interlock the quaternary structure of NC1-hexamer of scaffolds enabling metazoan evolution.bioRxiv : the preprint server for biology · 2026Article
- An animal component-free bioprocess for synthesizing 3D human matrix scaffolds using mesenchymal stromal cells.Frontiers in cell and developmental biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Basement membranes are key mediators of many biological processes such as epithelial morphogenesis, kidney filtration, and muscle function among others. Basement membranes provide structural support to tissues so understanding their mechanical properties is important for determining how they contribute to tissue form and function. Further, basement membranes are altered in many diseases including cancer, diabetes, and fibrosis, and these changes may contribute to disease pathogenesis and progression. Understanding how basement membrane mechanics integrate with tissue function is the work of both biologists and engineers/material scientists, yet these disciplines have very different foundations. This review discusses basement membrane macromolecular structure with a view to illuminate how this structure confers basement membranes with unique mechanical properties adapted to resisting physiological stresses. The pathological implications of altered basement membrane mechanics are discussed in the context of different diseases. Additionally, we survey methods used to measure basement membrane mechanical properties, including atomic force microscopy, tensile stiffness assays, and non-quantitative assays such as cell bursting, assessing their strengths and limitations and their accessibility for different types of in vivo studies. We focus on explaining and illuminating the complexities of basement membrane material properties for biologists, and explaining the biological aspects for engineers, with the goal of making interdisciplinary science more accessible to experimentalists and readers.
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What OpenQuestion holds
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.