Introduction And Aims: Extracellular matrix (ECM) components participate in the process of tissue repair and development of fibrosis in the pancreas. We studied the production kinetics of ECM components and transforming growth factor (TGF)-beta1 and identified their production sites in the pancreas following pancreatitis.
Methodology: Pancreatitis was induced in rats by a single intraductal infusion of oleic acid. Gene expression of TGF-betas and ECM components was studied by northern blotting. Pancreatic stellate cell activation was assessed by immunostaining for alpha-smooth muscle actin (alphaSMA) and desmin.
Results: Gene expression of TGF-betas and ECM components was increased in association with pancreatic fibrosis after 1-2 weeks and remained higher than the control levels for the ensuing 12 weeks. Both alphaSMA and desmin were strongly immunostained around small vessels and faintly stained in mesenchymal cells and tubular complexes at 1 week. The combination of staining for alphaSMA plus in situ hybridization for procollagen type III mRNA revealed that procollagen type III mRNA was expressed in both alphaSMA-positive and alphaSMA-negative cells in the mesenchyma.
Conclusions: Our findings demonstrate that expression of genes for both TGF-betas and ECM components was increased and that both alphaSMA-positive myofibroblasts and mesenchymal cells are the major sources of ECM components after pancreatitis.
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http://dx.doi.org/10.1097/00006676-200303000-00018 | DOI Listing |
Unlabelled: The ECM is a complex and dynamic meshwork of proteins that forms the framework of all multicellular organisms. Protein interactions within the ECM are critical to building and remodeling the ECM meshwork, while interactions between ECM proteins and cell surface receptors are essential for the initiation of signal transduction and the orchestration of cellular behaviors. Here, we report the development of MatriCom, a web application ( https://matrinet.
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Heidelberg University, Medical Faculty Mannheim, Biomedical Chemistry, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany.
By possibly bridging the gap between 2D cell assays and applications, tumor cell spheroid cultures offer promising avenues for advancing innovation in nuclear medicine. Regarding the evaluation of therapeutic radioligands, tumor cell spheroids have been successfully used to assess the therapeutic efficacy against human tumors. However, studies employing spheroids for testing diagnostic tracers are missing.
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January 2025
Tissue Engineering + Biofabrication Laboratory, Department of Health Sciences & Technology, ETH Zürich, Otto-Stern-Weg 7, 8093 Zürich, Switzerland.
Tissue-engineered grafts that mimic articular cartilage show promise for treating cartilage injuries. However, engineering cartilage cell-based therapies to match zonal architecture and biochemical composition remains challenging. Decellularized articular cartilage extracellular matrix (dECM) has gained attention for its chondro-inductive properties, yet dECM-based bioinks have limitations in mechanical stability and printability.
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January 2025
Department of Orthopaedic Surgery, University of Connecticut, Chemical, Materials & Biomolecular Engineering MC-3711, ARB7-E7018, 263 Farmington Avenue, Farmington, CT 06032, USA, Storrs, Connecticut, 06269, UNITED STATES.
Articular cartilage and osteochondral defect repair and regeneration presents significant challenges to the field of tissue engineering (TE). TE and regenerative medicine strategies utilizing natural and synthetic-based engineered scaffolds have shown potential for repair, however, they face limitations in replicating the intricate native microenvironment and structure to achieve optimal regenerative capacity and functional recovery. Herein, we report the development of a cartilage extracellular matrix (ECM) as a printable biomaterial for tissue regeneration.
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January 2025
LIB, Université de Bourgogne, Franche-Comté, Dijon, France.
The backbone extraction process is pivotal in expediting analysis and enhancing visualization in network applications. This study systematically compares seven influential statistical hypothesis-testing backbone edge filtering methods (Disparity Filter (DF), Polya Urn Filter (PF), Marginal Likelihood Filter (MLF), Noise Corrected (NC), Enhanced Configuration Model Filter (ECM), Global Statistical Significance Filter (GloSS), and Locally Adaptive Network Sparsification Filter (LANS)) across diverse networks. A similarity analysis reveals that backbones extracted with the ECM and DF filters exhibit minimal overlap with backbones derived from their alternatives.
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