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Engineering the C. Elegans Genome

$268,200R01FY2017GMNIH

University Of Utah, Salt Lake City UT

Investigators

Linked publications & trials

Abstract

? DESCRIPTION (provided by applicant): Unbiased forward genetic screens play a central role in model organism genetics. C. elegans screens have contributed to some of the most important discoveries in biology in the last 35 years: Ras - MAP kinase pathways, cell death pathways, RNA interference and posttranscriptional regulation by microRNAs are examples. However, only ~10% of genes have alleles that have been isolated in forward screens. We propose to develop a transposon-based gene trap that will simultaneously generate balanced knockout alleles and cellular expression patterns. As a complement to this method, we will design constructs and methods to standardize and lower the costs of CRISPR-based gene traps. Although C. elegans has possibly the most thoroughly characterized anatomy of any organism, worm genetics has been confounded by the difficulty of unambiguously assigning expression of a specific gene to a particular cell. We will generate worm strains and open-source microscope hardware that will aid individual users as well as automated systems in solving this final step in assigning gene expression patterns. As a package, the methods will propose to develop will be a resource for the whole C. elegans research community. Aim 1. Random gene traps. We will modify the Mos1 transposon from Drosophila so that it will act as a gene trap when inserted into the C. elegans genome, that is, disrupt the gene and report the gene expression pattern with tagRFP. Aim 2. Directed gene traps. We will design and test a high-throughput strategy for targeted gene traps using CRISPR. The library of clones generated in this aim can be also be used by individual labs to obtain the expression pattern and a null allele of any gene in the genome. Aim 3. Expression pattern toolkit. We will build nematode strains and microscopy hardware for high-throughput recording and analyzing the expression patterns of genes in 3D. These tools will be applied to the gene traps but will also be of use to the C. elegans community for cell expression identities, particularly in the brain of the worm.

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