Despite rapid advances in our knowledge of the cellular heterogeneity and molecular regulation of the mammary gland, how these relate to 3D cellular organization remains unclear. In addition to hormonal regulation, mammary gland development and function is directed by para- and juxtacrine signaling among diverse cell-types, particularly the immune and mesenchymal populations. Precise mapping of the cellular landscape of the breast will help to decipher this complex coordination. Imaging of thin tissue sections has provided foundational information about cell positioning in the mammary gland and now technological advances in tissue clearing and subcellular-resolution 3D imaging are painting a more complete picture. In particular, confocal, light-sheet and multiphoton microscopy applied to intact tissue can fully capture cell morphology, position and interactions, and have the power to identify spatially rare events. This review will summarize our current understanding of mammary gland cellular organization as revealed by microscopy. We focus on the mouse mammary gland and cover a broad range of immune and stromal cell types at major developmental stages and give insights into important tissue niches and cellular interactions.
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http://dx.doi.org/10.1007/s10911-021-09483-6 | DOI Listing |
Cell Biol Int
January 2025
Microscopy and Microanalysis Center, Institute of Biosciences, Letters and Exact Sciences (IBILCE), São Paulo State University (Unesp), São José do Rio Preto, SP, Brazil.
Mammary glands development is influenced by endocrine signaling, which remodels epithelial and stromal compartments. Reactive stroma phenotype is observed when stromal disturbances occur, leading to changes in extracellular matrix composition and occurrence of reactive cell types. One of the triggers of these alterations is endocrine-disrupting chemical exposure, such as bisphenol A (BPA).
View Article and Find Full Text PDFFront Nutr
January 2025
College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
Improving mammary gland epithelial cells proliferation through nutrition is an important approach for enhancing sow milk production and piglet growth. An intermediate metabolite of valine, 3-hydroxyisobutyrate (3-HIB), regulates cellular lipid metabolism. In the present study, we investigated the effects of 3-HIB on porcine mammary gland epithelial cells proliferation and lipid metabolism.
View Article and Find Full Text PDFMicroorganisms
January 2025
College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
Bovine mastitis, a prevalent disease in dairy farms, exerts a profound negative influence on both the health and productivity of dairy cattle, leading to substantial economic losses for the dairy industry. The disease is associated with different bacterial agents, primarily Gram-positive cocci (e.g.
View Article and Find Full Text PDFAnimals (Basel)
January 2025
Jiangsu Key Laboratory of Sericultural and Animal Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
In periparturient dairy cows, high non-esterified fatty acids (NEFAs) caused by a severe negative energy balance induce oxidative stress and metabolic dysfunction, which pose a severe challenge to the dairy industry. Resveratrol (RES) is a polyphenolic compound with antioxidant, anti-inflammatory and multiple other physiological effects. However, its effect on oxidative damage triggered by NEFAs in bovine mammary epithelial cells is rarely reported.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
School of Molecular Sciences, The University of Western Australia, Crawley, WA 6009, Australia.
The causes of low milk supply are multifactorial, including factors such as gene mutations, endocrine disorders, and infrequent milk removal. These factors affect the functional capacity of the mammary gland and, potentially, the concentrations of milk components. This study aimed to investigate the differences in milk composition between mothers with low and normal milk supply and develop predictive machine learning models for identifying low milk supply.
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