Although mechanical signals presented by the extracellular matrix are known to regulate many essential cell functions, the specific effects of these interactions, particularly in response to dynamic and heterogeneous cues, remain largely unknown. Here, we introduce a modular semisynthetic approach to create protein-polymer hydrogel biomaterials that undergo reversible stiffening in response to user-specified inputs. Employing a novel dual-chemoenzymatic modification strategy, we create fusion protein-based gel crosslinkers that exhibit stimuli-dependent intramolecular association. Linkers based on calmodulin yield calcium-sensitive materials, while those containing the photosensitive LOV2 (light, oxygen, and voltage sensing domain 2) protein give phototunable constructs whose moduli can be cycled on demand with spatiotemporal control about living cells. We exploit these unique materials to demonstrate the significant role that cyclic mechanical loading plays on fibroblast-to-myofibroblast transdifferentiation in three-dimensional (3D) space. Our moduli-switchable materials should prove useful for studies in mechanobiology, providing new avenues to probe and direct matrix-driven changes in 4D cell physiology.
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http://dx.doi.org/10.1002/adbi.201800240 | DOI Listing |
Light Sci Appl
January 2025
State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, 100871, China.
Metamaterials have revolutionized wave control; in the last two decades, they evolved from passive devices via programmable devices to sensor-endowed self-adaptive devices realizing a user-specified functionality. Although deep-learning techniques play an increasingly important role in metamaterial inverse design, measurement post-processing and end-to-end optimization, their role is ultimately still limited to approximating specific mathematical relations; the metamaterial is still limited to serving as proxy of a human operator, realizing a predefined functionality. Here, we propose and experimentally prototype a paradigm shift toward a metamaterial agent (coined metaAgent) endowed with reasoning and cognitive capabilities enabling the autonomous planning and successful execution of diverse long-horizon tasks, including electromagnetic (EM) field manipulations and interactions with robots and humans.
View Article and Find Full Text PDFData Brief
December 2024
U.S. Environmental Protection Agency, Center for Environmental Solutions and Emergency Response, Cincinnati, OH 45268, USA.
A life cycle inventory (LCI) dataset for food waste management was developed using secondary data from scientific literature and government reports. EPA reports on food waste management were used as the basis for collecting literature to review. Unit process parameters from the reviewed literature are compiled and combined with engineering calculations to generate LCI for food management pathways.
View Article and Find Full Text PDFBMC Med Res Methodol
October 2024
Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA.
Background: When running a randomized controlled trial (RCT), a clinical site may face a situation when an eligible trial participant is to be randomized to the treatment that is not available at the site. In this case, there are two options: not to enroll the participant, or, without disclosing to the site, allocate the participant to a treatment arm with drug available at the site using a built-in feature of the interactive response technology (IRT). In the latter case, one has employed a "forced randomization" (FR).
View Article and Find Full Text PDFFront Plant Sci
June 2024
Agriculture Victoria, Centre for AgriBioscience, AgriBio, Bundoora, VIC, Australia.
PeerJ Comput Sci
March 2024
University of Manchester, Manchester, United Kingdom.
Fixed-radius near neighbor search is a fundamental data operation that retrieves all data points within a user-specified distance to a query point. There are efficient algorithms that can provide fast approximate query responses, but they often have a very compute-intensive indexing phase and require careful parameter tuning. Therefore, exact brute force and tree-based search methods are still widely used.
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