In this study we present a novel method for studying cellular traction force generation and mechanotransduction in the context of cardiac development. Rat hearts from three distinct stage of development (fetal, neonatal and adult) were isolated, decellularized and characterized via mechanical testing and protein compositional analysis. Stiffness increased ~2-fold between fetal and neonatal time points but not between neonatal and adult. Composition of structural extracellular matrix (ECM) proteins was significantly different between all three developmental ages. ECM that was solubilized via pepsin digestion was cross-linked into polyacrylamide gels of varying stiffness and traction force microscopy was used to assess the ability of mesenchymal stem cells (MSCs) to generate traction stress against the substrates. The response to increasing stiffness was significantly different depending on the developmental age of the ECM. An investigation into early cardiac differentiation of MSCs demonstrated a dependence of the level of expression of early cardiac transcription factors on the composition of the complex ECM. In summary, this study found that complex ECM composition plays an important role in modulating a cell's ability to generate traction stress against a substrate, which is a significant component of mechanotransductive signaling.
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http://dx.doi.org/10.1016/j.bbrc.2013.08.074 | DOI Listing |
JA Clin Rep
January 2025
Department of Anesthesiology, Japanese Red Cross Kumamoto Hospital, 2-1-1, Nagamine-Minami, Higashi-Ku, Kumamoto, 861-8520, Japan.
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Commun Biol
January 2025
Laboratoire de Chimie Bactérienne (LCB) Institut de Microbiologie, Bioénergies et Biotechnologie (IMM), Aix-Marseille Université-CNRS, UMR 7283, Marseille, France.
Cell movement on surfaces relies on focal adhesion complexes (FAs), which connect cytoskeletal motors to the extracellular matrix to produce traction forces. The soil bacterium Myxococcus xanthus uses a bacterial FA (bFA), for surface movement and predation. The bFA system, known as Agl-Glt, is a complex network of at least 17 proteins spanning the cell envelope.
View Article and Find Full Text PDFTrop Med Infect Dis
January 2025
UQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, QLD 4006, Australia.
Integrated serological surveillance (serosurveillance) involves testing for antibodies to multiple pathogens (or species) simultaneously and can be achieved using multiplex bead assays (MBAs). This systematic review aims to describe pathogens studied using MBAs, the operational implementation of MBAs, and how the data generated were synthesised. In November and December 2023, four databases were searched for studies utilising MBAs for the integrated serosurveillance of infectious diseases.
View Article and Find Full Text PDFBioengineering (Basel)
January 2025
Tissue Bioengineering Laboratory, Division of Graduate Studies and Research, Faculty of Dentistry, National Autonomous University of Mexico, Circuito Exterior s/n, University City, Coyoacán, Mexico City 04510, Mexico.
In the last thirty years, tissue engineering (TI) has emerged as an alternative method to regenerate tissues and organs and restore their function by implanting specific lineage cells, growth factors, or biomolecules functionalizing a matrix scaffold. Recently, several pathologies have led to bone loss or damage, such as malformations, bone resorption associated with benign or malignant tumors, periodontal disease, traumas, and others in which a discontinuity in tissue integrity is observed. Bone tissue is characterized by different stiffness, mechanical traction, and compression resistance as a function of the different compartments, which can influence susceptibility to injury or destruction.
View Article and Find Full Text PDFBioengineering (Basel)
December 2024
Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, 720, Swanston Street, Carlton, VIC 3053, Australia.
Artificial intelligence (AI) has gained significant traction in medical image analysis, including dentistry, aiding clinicians in making timely and accurate diagnoses. Radiographs, such as orthopantomograms (OPGs) and intraoral radiographs, along with clinical photographs, are the primary imaging modalities employed for AI-powered analysis in the dental field. In this review, we discuss the most recent research and product developments concerning the clinical application of AI as a visual aid in dentistry and introduce the concept of Observational Diagnostics (ODs) as a structured method to standardise image analysis.
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