Coordinating multiple artificial cellular compartments into a well-organized artificial multicellular system (AMS) is of great interest in bottom-up synthetic biology. However, developing a facile strategy for fabricating an AMS with a controlled arrangement remains a challenge. Herein, utilizing DNA hybridization chain reaction on the membrane surface, we developed a DNA patch-based strategy to direct the interconnection of vesicles. By tuning the DNA patch that generates heterotrophic adhesion for the attachment of vesicles, we could produce an AMS with higher-order structures straightforwardly and effectively. Furthermore, a hybrid AMS comprising live cells and vesicles was fabricated, and we found the hybrid AMS with higher-order structures arouses efficient molecular transportation from vesicles to living cells. In brief, our work provides a versatile strategy for modulating the self-assembly of AMSs, which could expand our capability to engineer synthetic biological systems and benefit synthetic cell research in programmable manipulation of intercellular communications.
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http://dx.doi.org/10.1021/acs.nanolett.3c04249 | DOI Listing |
Biosens Bioelectron
January 2025
College of Mathematical Medicine, Zhejiang Normal University, Jinhua, China; Affiliated Dongyang Hospital of Wenzhou Medical University, Jinhua, China. Electronic address:
Pathological conditions in organisms often arise from various cellular or tissue abnormalities, including dysregulation of cell numbers, infections, aberrant differentiation, and tissue pathologies such as lung tumors and skin tumors. Thus, developing methods for analyzing and identifying these biological abnormalities presents a significant challenge. While traditional bioanalytical methods such as flow cytometry and magnetic resonance imaging are well-established, they suffer from inefficiencies, high costs, complexity, and potential hazards.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Center for Complexity and Biosystems, Department of Environmental Science and Policy, University of Milan, 20133 Milan, Italy.
Collective migration of cancer cells is often interpreted using concepts derived from the physics of active matter, but the experimental evidence is mostly restricted to observations made in vitro. Here, we study collective invasion of metastatic cancer cells injected into the mouse deep dermis using intravital multiphoton microscopy combined with a skin window technique and three-dimensional quantitative image analysis. We observe a multicellular but low-cohesive migration mode characterized by rotational patterns which self-organize into antiparallel persistent tracks with orientational nematic order.
View Article and Find Full Text PDFTheranostics
January 2025
Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Sci Data
December 2024
Department of Pathology and Laboratory Medicine, Alpert Medical School, Brown University, Providence, RI, 02912, USA.
In the past several years, a few cervical Pap smear datasets have been published for use in clinical training. However, most publicly available datasets consist of pre-segmented single cell images, contain on-image annotations that must be manually edited out, or are prepared using the conventional Pap smear method. Multicellular liquid Pap image datasets are a more accurate reflection of current cervical screening techniques.
View Article and Find Full Text PDFMethods Mol Biol
December 2024
University of Münster Institute of Physiological Chemistry and Pathobiochemistry, Münster, Germany.
The precise spatial and temporal regulation of cell-cell adhesions is crucial for understanding the underlying biological processes and for assembling multicellular structures in tissue engineering. Traditional approaches have relied on chemical membrane functionalization and regulated gene expression of native cell adhesion molecules (CAMs), but these methods lack the necessary control and can be detrimental to cells. In contrast, engineered photoswitchable cell-cell adhesions offer a reversible and dynamic regulation at a single-cell resolution.
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