Dataset Information

Polymorphic regenerated silk fibers assembled through bioinspired spinning.

ABSTRACT: A variety of artificial spinning methods have been applied to produce regenerated silk fibers; however, how to spin regenerated silk fibers that retain the advantages of natural silks in terms of structural hierarchy and mechanical properties remains challenging. Here, we show a bioinspired approach to spin regenerated silk fibers. First, we develop a nematic silk microfibril solution, highly viscous and stable, by partially dissolving silk fibers into microfibrils. This solution maintains the hierarchical structures in natural silks and serves as spinning dope. It is then spun into regenerated silk fibers by direct extrusion in the air, offering a useful route to generate polymorphic and hierarchical regenerated silk fibers with physical properties beyond natural fiber construction. The materials maintain the structural hierarchy and mechanical properties of natural silks, including a modulus of 11?±?4?GPa, even higher than natural spider silk. It can further be functionalized with a conductive silk/carbon nanotube coating, responsive to changes in humidity and temperature.

SUBMITTER: Ling S

PROVIDER: S-EPMC5680232 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Polymorphic regenerated silk fibers assembled through bioinspired spinning.

Ling Shengjie S Qin Zhao Z Li Chunmei C Huang Wenwen W Kaplan David L DL Buehler Markus J MJ

Nature communications 20171109 1

A variety of artificial spinning methods have been applied to produce regenerated silk fibers; however, how to spin regenerated silk fibers that retain the advantages of natural silks in terms of structural hierarchy and mechanical properties remains challenging. Here, we show a bioinspired approach to spin regenerated silk fibers. First, we develop a nematic silk microfibril solution, highly viscous and stable, by partially dissolving silk fibers into microfibrils. This solution maintains the h ...[more]

PMID: 29123097

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Project description:Spider silk proteins are synthesized in the silk-producing glands, where the spidroins are produced, stored and processed into a solid fiber from a crystalline liquid solution. Despite great interest in the spider silk properties, that make this material suitable for biomedical and biotechnological applications, the mechanism of formation and spinning of the silk fibers has not been fully elucidated; and no combination of proteomic and transcriptomic study has been carried out so far in the spider silk-producing glands. Nephila clavipes is an attractive orb-web spider to investigate the spinning process of silk production, given the properties of strength, elasticity and biocompatibility of their silk fibers. Thus, considering that the combination of proteomic and transcriptomic analysis may reveal an extensive repertoire of novel proteins involved in the silk spinning process, and in order to facilitate and enable proteomics in this non-model organism, the current study aims to construct a high quality reference mRNA-derived protein database that could be used to identify tissue specific expression patterns in spider silk glands. Next-generation sequencing has offered a powerful and cost-efficient technique for the generation of transcriptomic datasets in non-model species using diverse platforms such as the Illumina HiSeq, Roche 454, Pacific Biosystems, and Applied Biosystems SOLiD; In the current study, the Illumina HiSeq 2000 platform will be used to generate a N. clavipes spider silk glands transcriptome-based protein database. The transcriptome data generated in this study will provide a comprehensive and valuable genomic resource for future research of the group of spider silk-producing glands, in order to improve our understanding of the overall mechanism of action involved in production, secretion, storage, transport, protection and conformational changes of spidroins during the spinning process, and prey capture; and the results may be relevant for scientists in material Science, biology, biochemistry, and environmental scientists.

Dataset Information

Polymorphic regenerated silk fibers assembled through bioinspired spinning.

Publications

Polymorphic regenerated silk fibers assembled through bioinspired spinning.

Similar Datasets

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