Bottom-up assembly of higher-order cytomimetic systems capable of coordinated physical behaviours, collective chemical signalling and spatially integrated processing is a key challenge in the study of artificial multicellularity. Here we develop an interactive binary population of coacervate microdroplets that spontaneously self-sort into chain-like protocell networks with an alternating sequence of structurally and compositionally dissimilar microdomains with hemispherical contact points. The protocell superstructures exhibit macromolecular self-sorting, spatially localized enzyme/ribozyme biocatalysis and interdroplet molecular translocation. They are capable of topographical reconfiguration using chemical or light-mediated stimuli and can be used as a micro-extraction system for macroscale biomolecular sorting. Our methodology opens a pathway towards the self-assembly of multicomponent protocell networks based on selective processes of coacervate droplet-droplet adhesion and fusion, and provides a step towards the spontaneous orchestration of protocell models into artificial tissues and colonies with ordered architectures and collective functions.
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http://dx.doi.org/10.1038/s41557-023-01356-1 | DOI Listing |
Nat Chem
January 2025
Department of Bio-Organic Chemistry, Institute of Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, The Netherlands.
The cytoskeleton is a crucial determinant of mammalian cell structure and function, providing mechanical resilience, supporting the cell membrane and orchestrating essential processes such as cell division and motility. Because of its fundamental role in living cells, developing a reconstituted or artificial cytoskeleton is of major interest. Here we present an approach to construct an artificial cytoskeleton that imparts mechanical support and regulates membrane dynamics.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
School of Basic Medical Sciences, North China University of Science and Technology, Tangshan 063210, China. Electronic address:
Due to the utilization of well-defined artificial niches, stem cell culture in a three-dimensional hydrogel matrix has been a promising method for obtaining sufficient seed cells. Although various hydrogels can support desirable cell proliferation, establishing a normalized hydrogel that adequately mimics the extracellular matrix (ECM), maintains stemness and allows for controlled release of stem cells remains a significant challenge. Herein, we report a hydrogel composed of sulfobetaine-modified dextran and gelatin to maintain stemness and enable the rapid release of adipose-derived stem cells (ADSCs).
View Article and Find Full Text PDFScience
January 2025
Department of Bioengineering, Rice University, Houston, TX, USA.
Protein phosphorylation signaling networks have a central role in how cells sense and respond to their environment. We engineered artificial phosphorylation networks in which reversible enzymatic phosphorylation cycles were assembled from modular protein domain parts and wired together to create synthetic phosphorylation circuits in human cells. Our design scheme enabled model-guided tuning of circuit function and the ability to make diverse network connections; synthetic phosphorylation circuits can be coupled to upstream cell surface receptors to enable fast-timescale sensing of extracellular ligands, and downstream connections can regulate gene expression.
View Article and Find Full Text PDFMed Microbiol Immunol
December 2024
Grupo de Estudio en Parasitología Molecular (GEPAMOL), Faculty of Health Sciences, Centro de Investigaciones Biomédicas, Universidad del Quindío, Quindio, Armenia, Colombia.
Toxoplasma gondii infects approximately 30% of the population, and there is currently no approved vaccine. Identifying immunogenic peptides with high affinity to different HLA molecules is a promising vaccine strategy. This study used an in silico approach using artificial neural networks to identify T.
View Article and Find Full Text PDFNat Commun
December 2024
Department of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
Mid-infrared photoacoustic microscopy can capture biochemical information without staining. However, the long mid-infrared optical wavelengths make the spatial resolution of photoacoustic microscopy significantly poorer than that of conventional confocal fluorescence microscopy. Here, we demonstrate an explainable deep learning-based unsupervised inter-domain transformation of low-resolution unlabeled mid-infrared photoacoustic microscopy images into confocal-like virtually fluorescence-stained high-resolution images.
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