Suppr超能文献

大规模筛选秀丽隐杆线虫基因组中的靶向敲除。

large-scale screening for targeted knockouts in the Caenorhabditis elegans genome.

出版信息

G3 (Bethesda). 2012 Nov;2(11):1415-25. doi: 10.1534/g3.112.003830. Epub 2012 Nov 1.

Abstract

The nematode Caenorhabditis elegans is a powerful model system to study contemporary biological problems. This system would be even more useful if we had mutations in all the genes of this multicellular metazoan. The combined efforts of the C. elegans Deletion Mutant Consortium and individuals within the worm community are moving us ever closer to this goal. At present, of the 20,377 protein-coding genes in this organism, 6764 genes with associated molecular lesions are either deletions or null mutations (WormBase WS220). Our three laboratories have contributed the majority of mutated genes, 6841 mutations in 6013 genes. The principal method we used to detect deletion mutations in the nematode utilizes polymerase chain reaction (PCR). More recently, we have used array comparative genome hybridization (aCGH) to detect deletions across the entire coding part of the genome and massively parallel short-read sequencing to identify nonsense, splicing, and missense defects in open reading frames. As deletion strains can be frozen and then thawed when needed, these strains will be an enduring community resource. Our combined molecular screening strategies have improved the overall throughput of our gene-knockout facilities and have broadened the types of mutations that we and others can identify. These multiple strategies should enable us to eventually identify a mutation in every gene in this multicellular organism. This knowledge will usher in a new age of metazoan genetics in which the contribution to any biological process can be assessed for all genes.

摘要

秀丽隐杆线虫是研究当代生物学问题的强大模式生物系统。如果我们能对线虫这种多细胞后生动物的所有基因进行突变,那么这个系统将更加有用。线虫缺失突变体联盟和线虫社区内的个人的共同努力使我们越来越接近这一目标。目前,在这个生物体的 20377 个编码蛋白的基因中,有 6764 个与相关分子病变的基因要么是缺失要么是无义突变(WormBase WS220)。我们的三个实验室已经贡献了大部分突变基因,在 6013 个基因中有 6841 个突变。我们用于检测线虫缺失突变的主要方法是聚合酶链反应(PCR)。最近,我们使用了基于芯片的比较基因组杂交(aCGH)来检测基因组编码区的缺失,并使用大规模并行短读测序来鉴定开放阅读框中的无义、剪接和错义缺陷。由于删除菌株可以在需要时冷冻和解冻,因此这些菌株将成为持久的社区资源。我们联合的分子筛选策略提高了我们基因敲除设施的整体效率,并拓宽了我们和其他人可以识别的突变类型。这些多种策略应该使我们最终能够在这个多细胞生物中识别每个基因的突变。这一知识将开创后生动物遗传学的新时代,其中任何生物学过程的贡献都可以通过所有基因来评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a80/3484672/c92ef796c4ca/1415f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验