Tn-seq: high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms.
Tn-seq: high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms.
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DOI：
10.1038/nmeth.1377
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发表时间：
2009-10
期刊：
影响因子：
48
通讯作者：
Camilli, Andrew
中科院分区：
文献类型：
--
作者：
van Opijnen, Tim;Bodi, Kip L.;Camilli, Andrew
生物学途径是由相互作用的基因组成的复杂网络。解决这种网络的结构可能会提供有价值的信息，比如微生物是如何引起疾病的。在这里，我们提出了一种方法（n-seq），以准确地确定微生物基因组范围内的定量遗传相互作用。n-seq是基于饱和Mariner转座子插入文库的组装。文库选择后，每个插入突变体的频率变化是通过对侧翼区域进行测序来确定的。这些变化被用来计算每个突变体的适应度。确定了革兰氏阳性细菌肺炎链球菌（一种肺炎和脑膜炎的病原体）的每个基因的适应度。基因相互作用的全基因组筛选确定了减轻和加剧相互作用，可以进一步分为七个不同的类别。由于水手转座子的广泛活性，n-seq有可能有助于探索许多不同物种的复杂途径。
Biological pathways are structured in complex networks of interacting genes. Solving the architecture of such networks may provide valuable information, such as how microorganisms cause disease. Here we present a method (Tn-seq) for accurately determining quantitative genetic interactions on a genome-wide scale in microorganisms. Tn-seq is based on the assembly of a saturated Mariner transposon insertion library. After library selection, changes in frequency of each insertion mutant are determined by sequencing of the flanking regions en masse. These changes are used to calculate each mutant’s fitness. Fitness was determined for each gene of the gram-positive bacterium Streptococcus pneumoniae, a causative agent of pneumonia and meningitis. A genome-wide screen for genetic interactions identified both alleviating and aggravating interactions that could be further divided into seven distinct categories. Due to the wide activity of the Mariner transposon, Tn-seq has the potential to contribute to the exploration of complex pathways across many different species.
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影响因子：
4.5
作者：
Girgis, Hany S.;Liu, Yirchung;Ryu, William S.;Tavazoie, Saeed
通讯作者：
Tavazoie, Saeed
DOI：
10.1126/science.1162609
发表时间：
2008-10-17
期刊：
Science (New York, N.Y.)
影响因子：
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作者：
Roguev A;Bandyopadhyay S;Zofall M;Zhang K;Fischer T;Collins SR;Qu H;Shales M;Park HO;Hayles J;Hoe KL;Kim DU;Ideker T;Grewal SI;Weissman JS;Krogan NJ
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Krogan NJ
影响因子：
48
作者：
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通讯作者：
Emili, Andrew
影响因子：
2.9
作者：
LENSKI, RE;ROSE, MR;TADLER, SC
通讯作者：
TADLER, SC
影响因子：
3.6
作者：
King, SJ;Hippe, KR;Weiser, JN
通讯作者：
Weiser, JN