1. Developing new 3D hydrogel models of the human mammary gland to investigate breast cancer initiation
- Author
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Lingard, Eliana, Saiani, Alberto, Gilmore, Andrew, Domingos, Marco, and Swift, Joe
- Subjects
Matrigel ,Laminin 111 ,Organoid culture ,Self assembling peptide hydrogels ,Mammary epithelial cells - Abstract
The breast extracellular matrix provides mammary epithelial cells with physical, biochemical, and mechanical cues that direct their fate and function. Individuals with dense breast tissue are at increased risk of developing breast cancer. Dense breast tissue is associated with increased extracellular collagen deposition and alignment, which studies have shown increases the mechanical stiffness of the breast matrix. This increased environmental stiffness is hypothesised to promote pro-oncogenic behaviours in mammary epithelial cells through mechanically driven signal transduction pathways. However, these mechanotransduction mechanisms are poorly defined. Investigating these mechanisms requires a consistent, defined and mechanically tuneable in vitro model of the breast microenvironment. Here, we show that synthetic peptide hydrogels can be mechanically and biochemically modified to recapitulate some of the key properties of the breast matrix. We demonstrate that laminin 111 is a major regulator of acinar morphogenesis in breast tissue that can be used to functionalise a negatively charged peptide hydrogel for mammary epithelial cell culture. Laminin 111 appears to direct acinar morphogenesis by stimulating cell adhesion formation and regulating cell proliferation. We also find evidence to suggest that oxidative stress in mammary epithelial cells can be regulated by matrix stiffness. We also show that we can collect accurate and reliable qualitative and quantitative data from peptide hydrogel-encapsulated mammary epithelial cells by adapting protocols to accommodate for their physical properties. Together, our findings show that we can use synthetic peptide hydrogels to accurately and consistently model breast matrix stiffness to investigate cryptic mechanosignalling mechanisms.
- Published
- 2023