ature uses self-assembly to create a widespread variety of complex structures with elaborate geometries and outstanding properties 1 such as hierarchical order, adaptability, selfhealing and bioactivity. Developing new bioinspired processes based on dynamic self-assembly could facilitate the fabrication of synthetic three-dimensional (3D) materials with enhanced complexity, dynamic properties and functionality 2 . Proteins are particularly attractive building blocks because of their versatility and biofunctionality 3 . Elastin-like polypeptides (ELPs) 4 are recombinant proteins that have generated great interest 5 as a result of their modular structure, bioactivity, ease of design and production, and the possibility to create robust and elastic materials 5,6 . ELPs allow for a tunable molecular design 7 and are based on the tropoelastin recurrent motif Val-Pro-Gly-X-Gly (VPGXG), in which X is any amino acid other than proline 7 . This repeating pentapeptide provides ELPs with a thermoresponsive behaviour. Below a critical transition temperature (T t ), the ELP molecule undergoes a reversible-phase transition wherein the protein is soluble in aqueous solution and becomes highly solvated, surrounded by clatharate-like water structures. Above the T t , the hydrophobic domains dehydrate and the protein chain hydrophobically collapses and aggregates to form a phaseseparated state 8 .The use of natural and synthetic proteins to create functional materials has been hindered by the difficulty in controlling their conformation and nanoscale assembly with the precision required to form macroscopic materials. This limitation has driven the development of simpler and more-predictable peptide-based materials 9,10 . Peptide amphiphiles (PAs), for example, are synthetic molecules that can self-assemble into nanofibres and create functional 3D hydrogels that emulate the fibrous architecture of the extracellular matrix (ECM) 11,12 . Nonetheless, most peptide and/or protein materials are formed through equilibrium-based self-assembly approaches that are capable of generating stable supramolecular structures, but with limited hierarchy and spatiotemporal control, which has hindered their functionality 2 .Novel approaches based on the dynamic self-assembly of inorganic building blocks [13][14][15] , actin self-organization 16 and the combination of top-down processes with peptide self-assembly have been reported recently 17 . In particular, Stupp and co-workers have described a self-assembling membrane system obtained through strong electrostatic interactions between PAs and oppositely charged polysaccharides 18 . However, the possibility to exploit the unique structural and functional properties of proteins to create dynamic hierarchical materials remains an elusive target. In this study, we attempt to overcome this hurdle by using self-assembling peptides to promote protein conformational changes and guide their assembly into complex, yet functional, materials. We report the discovery and development of a protein/peptide system t...
Non-small cell lung cancer (NSCLC) is one of the most deadly cancers worldwide, with poor prognosis once the disease has progressed past the point at which surgery is a viable option. Whilst chemotherapy has improved survival over recent decades, there is still great need for improvements in treatments for patients with advanced disease. Over the last decade, a variety of such drugs have received market approval for treating NSCLC, with a variety of others in the pipeline. Here, we review the development of targeted therapies for the treatment of advanced or metastatic NSCLC, including those already in clinical practice and those in early trials. The epidermal growth factor receptor (EGFR) inhibitors, gefitinib, erlotinib and afatinib; the anaplastic lymphoma kinase (ALK) inhibitor, crizotinib; and the anti-vascular endothelial growth factor receptor monoclonal antibody, bevacizumab, are already providing improved survival for patients with NSCLC. Moreover, the discovery of EGFR mutations and ALK rearrangements has enabled the identification of patients who are more likely to benefit from a specific drug. The recent approval of the immune checkpoint inhibitor nivolumab, along with the designation of alectinib and MPDL3280A as breakthrough therapies by the FDA, demonstrates how rapidly this area of research is expanding. Over the last decade there has been significant progress made in the treatment of advanced NSCLC, and the large and varied selection of drugs currently undergoing trials provide great promise for improving the prognosis of this highly prevalent and deadly form of cancer.Over the last decades, lung cancer has been the leading cause of cancer-related mortality in the world, with almost 1 in 5 deaths attributable to it.
The capacity to create an increasing variety of bioactive molecules that are designed to assemble in specific configurations has opened up tremendous possibilities in the design of materials with an unprecedented level of control and functionality. A particular challenge involves guiding such self-assembling interactions across scales, thus precisely positioning individual molecules within well-organized, highly-ordered structures. Such hierarchical control is essential if peptides and proteins are to serve as both structural and functional building blocks of biomedical materials. To achieve this goal, top-down techniques are increasingly being used in combination with self-assembling systems to reproducibly manipulate, localize, orient and assemble peptides and proteins to form organized structures. In this tutorial review we provide insight into how both standard and novel top-down techniques are being used in combination with peptide or protein self-assembly to create a new generation of functional materials.
The fabrication of hierarchical and bioactive self‐supporting membranes, which integrate physical and biomolecular elements, using a single‐step process that combines molecular self‐assembly with soft lithography is reported. A positively charged multidomain peptide (with or without the cell‐adhesive sequence arginine‐glycine‐aspartic acid‐serine (RGDS)) self‐assembles with hyaluronic acid (HA), an anionic biopolymer. Optimization of the assembling conditions enables the realization of membranes with well‐controlled and easily tunable features at multiple size scales including peptide sequence, building‐block co‐assembly, membrane thickness, bioactive epitope availability, and topographical pattern morphology. Membrane structure, morphology, and bioactivity are investigated according to temperature, assembly time, and variations in the experimental setup. Furthermore, to evaluate the physical and biomolecular signaling of the self‐assembled microfabricated membranes, rat mesenchymal stem cells are cultured on membranes exhibiting various densities of RGDS and different topographical patterns. Cell adhesion, spreading, and morphology are significantly affected by the surface topographical patterns and the different concentrations of RGDS. The versatility of the combined bottom‐up and top‐down fabrication processes described may permit the development of hierarchical macrostructures with precise biomolecular and physical properties and the opportunity to fine tune them with spatiotemporal control.
Pain flare is common after palliative radiotherapy for osseous metastases and patients receiving single fraction radiotherapy may be at higher risk. Further study is warranted to determine predictors and preventive interventions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.