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通过Tn-seq(一种用于微生物的高通量大规模平行测序方法)确定全基因组适应性和遗传相互作用。

Genome-Wide Fitness and Genetic Interactions Determined by Tn-seq, a High-Throughput Massively Parallel Sequencing Method for Microorganisms.

作者信息

van Opijnen Tim, Lazinski David W, Camilli Andrew

机构信息

Department of Biology, Boston College, Chestnut Hill, Massachusetts.

Department of Molecular Biology and Microbiology, School of Medicine, Tufts University, and Howard Hughes Medical Institute, Boston, Massachusetts.

出版信息

Curr Protoc Mol Biol. 2014 Apr 14;106:7.16.1-7.16.24. doi: 10.1002/0471142727.mb0716s106.

Abstract

The lagging annotation of bacterial genomes and the inherent genetic complexity of many phenotypes is hindering the discovery of new drug targets and the development of new antimicrobial agents and vaccines. This unit presents Tn-seq, a method that has made it possible to quantitatively determine fitness for most genes in a microorganism and to screen for quantitative genetic interactions on a genome-wide scale and in a high-throughput fashion. Tn-seq can thus direct studies on the annotation of genes and untangle complex phenotypes. The method is based on the construction of a saturated transposon insertion library. After library selection, changes in the frequency of each insertion mutant are determined by sequencing flanking regions en masse. These changes are used to calculate each mutant's fitness. The method was originally developed for the Gram-positive bacterium Streptococcus pneumoniae, a causative agent of pneumonia and meningitis, but has now been applied to several different microbial species.

摘要

细菌基因组注释的滞后以及许多表型固有的遗传复杂性,正阻碍着新药物靶点的发现以及新型抗菌药物和疫苗的研发。本单元介绍了转座子测序(Tn-seq)方法,该方法使定量测定微生物中大多数基因的适应性以及在全基因组范围内以高通量方式筛选定量遗传相互作用成为可能。因此,Tn-seq能够指导基因注释研究并解开复杂的表型。该方法基于构建饱和转座子插入文库。文库筛选后,通过对侧翼区域进行大规模测序来确定每个插入突变体频率的变化。这些变化用于计算每个突变体的适应性。该方法最初是为革兰氏阳性菌肺炎链球菌(肺炎和脑膜炎的病原体)开发的,但现在已应用于几种不同的微生物物种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2984/4568079/afb8e5b896d6/nihms589610f1.jpg

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