A genetic resource for complex cell-cell interaction studies in Drosophila
A genetic resource for complex cell-cell interaction studies in Drosophila
批准号:
BB/V018477/1
负责人:
Scott Waddell
金额:
$81.48万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --
中文摘要
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英文摘要
To study the processes involved in development, tissue maintenance, or higher order interactions of complex tissues such as the brain, researchers need tools that allow for the manipulation of specific cells in time and space. This can be achieved by combining a regulatory element (enhancer) with a gene of interest. The enhancer, in this new context, will then control when and where the gene of interest is expressed. Since there are thousands of different genes and even more cells in an organism, it would be very difficult to generate a specific enhancer/gene of interest combination for each particular manipulation. An elegant solution to this problem, is the use of binary expression systems which separate the enhancer from the gene of interest. The enhancer is now part of a control unit called "driver" which regulates the expression of a DNA binding protein while the gene of interest is combined with binding sites for the DNA binding protein into a functional unit termed "responder". Upon activation of the enhancer, the DNA binding protein is made and binds to its recognition sites next to the gene of interest and triggers its expression. Due to this architecture, driver and responder elements can be completely separated in two different animal lines and only when crossed together will the offspring express the gene of interest in the desired pattern. This allows for the creation of vast driver and responder collections which can be freely combined to generate thousands of different combinations without the need of establishing permanent transgenic animals. However, complex cell-cell interaction studies may require several different manipulations at the same time, e.g. the up-regulation of a gene in one cell and the down-regulation of another gene in the neighbouring cell. To achieve this, several different binary expression systems need to be employed simultaneously. To date, only three binary systems are available, which limits the maximum number of parallel manipulations to three. To overcome this limitation, we have developed a new binary expression system based on a DNA binding protein (TALE) that can be altered to recognise different binding sites (VAS). This new TALE-VAS system has the potential to generate an almost unlimited number of driver/responder pairs. However, to be readily applicable for other researchers, a basic resource of drivers and responders is needed. In this project, we propose to generate this basic resource and to further enhance and modify the TALE-VAS system in order to provide a valuable and versatile genetic tool for the scientific community. In particular, we will ensure that all TALE-VAS driver-responder pairs are completely background-free. Additionally, we will modify the TALE drivers so that they can be turned off by a repressor, have a faster turnover rate, or work with the existing split technology where the driver can be separated into two components to achieve better spatial resolution. We will also provide a new split system that will allow for the simultaneous employment of many split drivers simultaneously. In parallel, we will generate donor flies that can be used to convert existing drivers from the most widely used binary expression system, the GAL4-UAS system, to the TALE-VAS system. Finally, we will further extend the range of applications of the TALE-VAS system by generating logic gates ("switches") that will only activate the gene of interest if several conditions are true. For example, activation occurs only if gene-1 AND gene-2 AND gene-3 are expressed, or if gene-1 AND gene-2 but NOT gene-3 are expressed. Using this system, researchers will be able to manipulate cell populations that are characterised by complex gene expression patterns and are difficult to address otherwise. Taken together, the basic TALE-VAS toolkit will greatly benefit the scientific community and will enable researchers to perform cell-cell interaction studies of unprecedented complexity.
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国内基金
海外基金
协同中继系统跨层资源分配与优化调度的理论及方法
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批准号:60972070
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项目类别:面上项目
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资助金额:33.0万元
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批准年份:2009
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负责人:陈前斌
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依托单位:
横断山区淡水三肠目涡虫资源及分类学研究
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批准号:30670247
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项目类别:面上项目
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资助金额:27.0万元
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批准年份:2006
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负责人:陈广文
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依托单位: