Cell manipulation techniques such as those based on three-dimensional (3D) bioprinting and microfluidic systems have recently been developed to reconstruct complex 3D tissue structures . Compared to these technologies, magnetic force-based cell manipulation is a simpler, scaffold- and label-free method that minimally affects cell viability and can rapidly manipulate cells into 3D tissue constructs. As such, there is increasing interest in leveraging this technology for cell assembly in tissue engineering. Cell manipulation using magnetic forces primarily involves two key approaches. The first method, positive magnetophoresis, uses magnetic nanoparticles (MNPs) which are either attached to the cell surface or integrated within the cell. These MNPs enable the deliberate positioning of cells into designated configurations when an external magnetic field is applied. The second method, known as negative magnetophoresis, manipulates diamagnetic entities, such as cells, in a paramagnetic environment using an external magnetic field. Unlike the first method, this technique does not require the use of MNPs for cell manipulation. Instead, it leverages the magnetic field and the motion of paramagnetic agents like paramagnetic salts (Gadobutrol, MnCl, etc.) to propel cells toward the field minimum, resulting in the assembly of cells into the desired geometrical arrangement. In this Review, we will first describe the major approaches used to assemble cells -3D bioprinting and microfluidics-based platforms-and then discuss the use of magnetic forces for cell manipulation. Finally, we will highlight recent research in which these magnetic force-based approaches have been applied and outline challenges to mature this technology for tissue engineering.
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http://dx.doi.org/10.1063/5.0138732 | DOI Listing |
Transl Oncol
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Johns Hopkins Greenberg Bladder Cancer Institute, Brady Urological Institute, Johns Hopkins University, Baltimore, MD, USA. Electronic address:
Bladder cancer (BLCA) genomic profiling has identified molecular subtypes with distinct clinical characteristics and variable sensitivities to frontline therapy. BLCAs can be categorized into luminal or basal subtypes based on their gene expression. We comprehensively characterized nine human BLCA cell lines (UC3, UC6, UC9, UC13, UC14, T24, SCaBER, RT4V6 and RT112) into molecular subtypes using orthotopic xenograft models.
View Article and Find Full Text PDFMol Plant Microbe Interact
January 2025
University of Florida, Microbiology and Cell Science, Gainesville, Florida, United States;
Plant pathogens pose significant threats to global cereal crop production, particularly for essential crops like rice and wheat, which are fundamental to global food security and provide nearly 40% of the global caloric intake. As the global population continues to rise, increasing agricultural production to meet food demands becomes even more critical. However, the production of these vital crops is constantly threatened by phytopathological diseases, especially those caused by fungal pathogens such as , the causative agent of rice blast disease, , responsible for head blight (FHB) in wheat, and , the source of Septoria tritici blotch (STB).
View Article and Find Full Text PDFJ Virol
January 2025
Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Unlabelled: Although fish possess an effective interferon (IFN) system to defend against viral infection, grass carp reovirus (GCRV) still causes epidemic hemorrhagic disease and tremendous economic loss in grass carp. Therefore, it is necessary to investigate the immune escape strategies employed by GCRV. In this study, we show that the structural protein VP4 of GCRV (encoded by the S6 segment) significantly restricts IFN expression by degrading stimulator of IFN genes (STING) through the autophagy-lysosome-dependent pathway.
View Article and Find Full Text PDFAnim Cells Syst (Seoul)
January 2025
Department of Genome Medicine and Science, Gachon University College of Medicine, Incheon, Republic of Korea.
Dynamic modeling of cellular states has emerged as a pivotal approach for understanding complex biological processes such as cell differentiation, disease progression, and tissue development. This review provides a comprehensive overview of current approaches for modeling cellular state dynamics, focusing on techniques ranging from dynamic or static biomolecular network models to deep learning models. We highlight how these approaches integrated with various omics data such as transcriptomics, and single-cell RNA sequencing could be used to capture and predict cellular behavior and transitions.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
January 2025
South China Agricultural University, College of Materials and Energy, CHINA.
Carbon-based perovskite solar cells (C-PSCs) have the advantages of high stability and low cost, but their mean efficiency has become an obstacle to commercialization. Defects, which are widely distributed on the surface and bulk of films, are an important factor in C-PSCs for low efficiency. The conventional post-treatment method through forming a low-dimensional (LD) perovskite layer usually fails in manipulating the bulk defects.
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