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Team:UCLA/Aal
From 2014.igem.org
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<h1> <font size="5"> PROGRAMMING SILK: CUSTOMIZING ITS PROPERTIES </font> </h1> | <h1> <font size="5"> PROGRAMMING SILK: CUSTOMIZING ITS PROPERTIES </font> </h1> | ||
| - | <p>Spider silk is a remarkable natural material, exhibiting an incredible range of strength and elasticity. Silk-weaving spiders can actually choose from a wide array of silks (such as dragline, capture-spiral, and egg cocoon silk), each having its own unique physical profile and genetic origin. However, one thing that’s common to all silk is that their genes are comprised of highly-repetitive modules. By comparing and the contribution of each type of module to the silk fiber’s physical properties, we can begin to understand how to create a collection of silk modules to build our own gene!</p> | + | |
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| + | <p>Spider silk is a remarkable natural material, exhibiting an incredible range of strength and elasticity. Silk-weaving spiders can actually choose from a wide array of silks (such as dragline, capture-spiral, and egg cocoon silk), each having its own unique physical profile and genetic origin. However, one thing that’s common to all silk is that their genes are comprised of highly-repetitive modules. By comparing and the contribution of each type of module to the silk fiber’s physical properties, we can begin to understand how to create a collection of silk modules to build our own gene! | ||
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<p>By genetically engineering the repetitive modules, and stringing them together in defined orders and ratios, we can customize the physical properties of the resulting silk fibers. Given the diversity that naturally exists across different types of silk, we can potentially assemble a massive library of silk proteins with an impressive range of strength and elasticity for a variety of applications. We plan on optimizing the compatibility of the iterative capped assembly (ICA) technique for the iGEM competition, creating a standardized method of assembling any highly-repetitive gene fragment in an efficient, user-definable manner. Having a library of silk gene blocks to choose from, and an optimized protocol for assembling them, we can optimize the selection and production of programmable silk with customizable properties.</p> | <p>By genetically engineering the repetitive modules, and stringing them together in defined orders and ratios, we can customize the physical properties of the resulting silk fibers. Given the diversity that naturally exists across different types of silk, we can potentially assemble a massive library of silk proteins with an impressive range of strength and elasticity for a variety of applications. We plan on optimizing the compatibility of the iterative capped assembly (ICA) technique for the iGEM competition, creating a standardized method of assembling any highly-repetitive gene fragment in an efficient, user-definable manner. Having a library of silk gene blocks to choose from, and an optimized protocol for assembling them, we can optimize the selection and production of programmable silk with customizable properties.</p> | ||
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Revision as of 23:53, 1 July 2014
PROGRAMMING SILK: CUSTOMIZING ITS PROPERTIES
Spider silk is a remarkable natural material, exhibiting an incredible range of strength and elasticity. Silk-weaving spiders can actually choose from a wide array of silks (such as dragline, capture-spiral, and egg cocoon silk), each having its own unique physical profile and genetic origin. However, one thing that’s common to all silk is that their genes are comprised of highly-repetitive modules. By comparing and the contribution of each type of module to the silk fiber’s physical properties, we can begin to understand how to create a collection of silk modules to build our own gene!
By genetically engineering the repetitive modules, and stringing them together in defined orders and ratios, we can customize the physical properties of the resulting silk fibers. Given the diversity that naturally exists across different types of silk, we can potentially assemble a massive library of silk proteins with an impressive range of strength and elasticity for a variety of applications. We plan on optimizing the compatibility of the iterative capped assembly (ICA) technique for the iGEM competition, creating a standardized method of assembling any highly-repetitive gene fragment in an efficient, user-definable manner. Having a library of silk gene blocks to choose from, and an optimized protocol for assembling them, we can optimize the selection and production of programmable silk with customizable properties.
