Specific cues provided to cells by the extracellular matrix (ECM) are determined by its composition. Except of collagens other naturally occurring ECM components should be considered in designing 3D models of diseases. We used spectrophotometric and rheological measurements and confocal imaging to characterise collagen matrices of human origin that can be modified by clinically relevant ECM components. pH of the neutralising solution, but not incubation of solidified collagen matrices in serum-free culture medium with pH 5.0-9.0 affected distribution of collagen fibres. Admixture of fibronectin or tenascin-C influenced assembly kinetics and resulted in slight increase in the Young's moduli of the matrices, indicating their incorporation into the collagen matrices. Co-localization of fibronectin with collagen fibres was confirmed by fluorescence imaging. Various cell types relevant for tumour tissue were able to proliferate within the matrices suggesting that they can be used to study role of ECM components in cancer in spatial models.
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http://dx.doi.org/10.1016/j.bpc.2022.106944 | DOI Listing |
Biomed Mater
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.
View Article and Find Full Text PDFPLoS One
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.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Baylor College of Medicine, Houston, TX, USA.
Background: Alzheimer's disease (AD) has a complex etiology where insults in multiple pathways conspire to disrupt neuronal function, yet molecular changes underlying AD remain poorly understood. Previously, we performed mass-spectrometry on post-mortem human brain tissue to identify >40 protein co-expression modules correlated to AD pathological and clinical traits. Module 42 has the strongest correlation to AD pathology and consists of 32 proteins including SMOC1, a predicted driver of network behavior and potential biomarker for AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Columbia University Irving Medical Center, New York, NY, USA.
Background: APOEε4 significantly increases the risk of developing Alzheimer's disease (AD). Cognitively healthy APOEε4-carriers exist, suggesting potential protective mechanisms against APOEε4. We hypothesized that some APOEε4-carriers may have genetic variations protecting them from developing APOEε4-mediated AD pathology.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA.
Background: The Apoliproprotein E (APOE) e4 allele is the most significant genetic risk factor for late-onset Alzheimer disease (AD). However, the risk associated with the APOE e4 allele differs across populations with individuals of African ancestry having a reduced risk than individuals of European (EU) ancestry. Further, single-nuclei RNAseq analysis in autopsy samples from AD APOEε4 homozygotes with EU Local Ancestry (LA) had a significantly increased APOEε4 expression compared to those with African LA, particularly in astrocytes.
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