ArticleBiomaterials2018
3D organizational mapping of collagen fibers elucidates matrix remodeling in a hormone-sensitive 3D breast tissue model.
Article in Biomaterials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 33 citations in OpenAlex.
- Assessing preterm risk via label-free, multiparametric imaging of collagen fiber remodeling in the cervix.Biomedical optics express · 2026Article
- Intraoperative biopsy imaging of lung cancer risk.Communications medicine · 2026Article
- Towards next-generation diagnostic pathology: AI-empowered label-free multiphoton microscopy.Light, science & applications · 2024Review
- Extracellular Hsp90 Binds to and Aligns Collagen-1 to Enhance Breast Cancer Cell Invasiveness.Cancers · 2023Article
- Label-free, multi-parametric assessments of cell metabolism and matrix remodeling within human and early-stage murine osteoarthritic articular cartilage.Communications biology · 2023Article
- Mapping variation of extracellular matrix in human keloid scar by label-free multiphoton imaging and machine learning.Journal of biomedical optics · 2023Article
- Article
- A comprehensive review of computational and image analysis techniques for quantitative evaluation of striated muscle tissue architecture.Biophysics reviews · 2022Review
- Highly accurate, automated quantification of 2D/3D orientation for cerebrovasculature using window optimizing method.Journal of biomedical optics · 2022Article
- Remodelling of the fibre-aggregate structure of collagen gels by cancer-associated fibroblasts: A time-resolved grey-tone image analysis based on stochastic modelling.Frontiers in immunology · 2022Article
- Matrix Composition Modulates Vitamin D3's Effects on 3D Collagen Fiber Organization by MCF10A Cells.Tissue engineering. Part A · 2021Article
- Multiscale anisotropy analysis of second-harmonic generation collagen imaging of mouse skin.Journal of biomedical optics · 2021Article
- Label-free identification of human coronary atherosclerotic plaque based on a three-dimensional quantitative assessment of multiphoton microscopy images.Biomedical optics express · 2021Article
- Tissue Imaging and Quantification Relying on Endogenous Contrast.Advances in experimental medicine and biology · 2021Review
- Factors associated with obesity alter matrix remodeling in breast cancer tissues.Journal of biomedical optics · 2020Article
- Geometric characteristics of collagen have independent prognostic significance in breast ductal carcinoma in situ: an image analysis study.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2019Article
- Vitamin D3 constrains estrogen's effects and influences mammary epithelial organization in 3D cultures.Scientific reports · 2019Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Hormones play an important role in normal and diseased breast tissue development. However, they can also disrupt cell-matrix interactions and their role in extracellular matrix reorganization during epithelial morphogenesis remains poorly understood, partly due to a lack of sensitive approaches for matrix characterization. Here, we assess the hormonal regulation of matrix reorganization in a three-dimensional (3D) breast tissue culture model using a novel metric, i.e., 3D directional variance, to characterize the 3D organization of collagen fibers visualized via high-resolution, second harmonic generation imaging. This metric enables resolving and quantifying patterns of spatial organization throughout the matrix surrounding epithelial structures treated with 17β-estradiol (E2) alone, and E2 in combination with either promegestone, a progestogen, or prolactin. Addition of promegestone results in the most disorganized fibers, while the E2 alone treatment leads to the most organized ones. Location-dependent organization mapping indicates that only the prolactin treatment leads to significant heterogeneities in the regional organization of collagen fibers, with higher levels of alignment observed at the end of the elongated epithelial structures. The observed collagen organization patterns for all groups persist for tens of micrometers. In addition, a comparison between 3D directional variance and typical 2D analysis approaches reveals an improved sensitivity of the 3D metric to identify organizational heterogeneities and differences among treatment groups. These results demonstrate that 3D directional variance is sensitive to subtle changes in the extracellular micro-environment and has the potential to elucidate reciprocal cell-matrix interactions in the context of numerous applications involving the study of normal and diseased tissue morphogenesis.
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