In our previous studies, roles of gap junction and vascular endothelial growth factor in the cross-talking of human bone marrow stromal cells (HBMSCs) and human umbilical vein endothelial cells (HUVECs) have been extensively studied. The present study focused on the investigation of the roles of neural (N)-cadherin in early differentiation of HBMSCs in direct-contact cocultures with HUVECs for 24 and 48 h. Quantitative real-time polymerase chain reaction, immunofluorescence, Western blot, as well as functional studies were applied to perform the studies at both protein and gene levels. Results showed that cocultured cells expressed much higher N-cadherin than monocultured cells after 24 and 48 h of culture. We observed that N-cadherin concentrated in the membrane of cocultured HBMSCs (co-HBMSCs) while distributed within the cytoplasm of monocultured HBMSCs, which indicated that the cell-cell adhesion was improved between cocultured cells. In addition, more beta-catenin was found to translocate into the cocultured cells nuclei and more T cell factor-1 (TCF-1) were detected in cocultured cells than in the monocultured cells. Moreover, mRNA levels of early osteoblastic markers including alkaline phosphatase (ALP) and type I collagen (Col-I) of co-HBMSCs were significantly upregulated, whereas neutralization of N-cadherin led to a downregulation of ALP and Col-I in both of the HBMSCs and co-HBMSCs compared with untreated cells. Taking our findings together it can be concluded that cocultures of HBMSCs with HUVECs increased N-cadherin expression and improved cell-cell adhesion. Whether this applies only to osteoprogenitor cells or to all the cell types in the culture will need to be determined by further studies. Subsequently, signaling transduction might be induced with the participation of beta-catenin and TCF-1. With the N-cadherin-mediated cell-cell adhesion and signaling transductions, the early osteoblastic differentiation of co-HBMSCs was significantly upregulated.
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http://dx.doi.org/10.1152/ajpcell.00562.2009 | DOI Listing |
Front Biosci (Landmark Ed)
January 2025
Department of Clinical Medicine and Surgery, University of Naples "Federico II", 80131 Naples, Italy.
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View Article and Find Full Text PDFPharmaceuticals (Basel)
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Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, 22# Zhongguancun South Avenue, Haidian District, Beijing 100081, China.
Tumors, as intricate ecosystems, comprise oncocytes and the highly dynamic tumor stroma. Tumor stroma, representing the non-cancerous and non-cellular composition of the tumor microenvironment (TME), plays a crucial role in oncogenesis and progression, through its interactions with biological, chemical, and mechanical signals. This review aims to analyze the challenges of stroma mimicry models, and highlight advanced personalized co-culture approaches for recapitulating tumor stroma using patient-derived tumor organoids (PDTOs).
View Article and Find Full Text PDFPathogens
January 2025
Department of Health Biohazards and Parasitology, Institute of Rural Health, Jaczewskiego 2, 20-090 Lublin, Poland.
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View Article and Find Full Text PDFPathogens
January 2025
Research Laboratory for Biofilms and Implant Associated Infections (BIOFILM LAB), University Hospital for Orthopaedics and Traumatology, Medical University of Innsbruck, Müllerstraße 44, 6020 Innsbruck, Austria.
Background: The burden of prosthetic joint infection in combination with antibiotic-resistant bacterial strains is a rising dilemma for patients experiencing total joint replacements. Around 0.8-2% of patients experience prosthetic joint infections, while up to 21% of patients are considered fatal cases after 5 years.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
School of Environmental Science and Engineering, Hainan University, Haikou 570228, China.
Hepatocellular carcinoma (HCC), a leading liver tumor globally, is influenced by diverse risk factors. Cellular senescence, marked by permanent cell cycle arrest, plays a crucial role in cancer biology, but its markers and roles in the HCC immune microenvironment remain unclear. Three machine learning methods, namely k nearest neighbor (KNN), support vector machine (SVM), and random forest (RF), are utilized to identify eight key HCC cell senescence markers (HCC-CSMs).
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