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Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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雪印:用于遗传生物传感器发现的预测工具.

Simon d'Oelsnitz1,2, Sarah K Stofel3, Joshua D Love4

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概括

一个新的生物信息工具,Snowprint,预测基因调节器相互作用,使得新联体诱导转录调节器的发现为合成生物学和化学传感应用.

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科学领域:

  • 合成生物学 合成生物学
  • 生物工程是生物工程.
  • 基因组学就是基因组学.

背景情况:

  • 干诱导转录调节剂对于生物工程中基因表达的化学控制至关重要.
  • 现有的调节剂的有限可用性和对DNA特异性的理解不足,阻碍了基因设计.
  • 从基因组中挖掘新型调节剂是具有挑战性的,因为复杂的DNA相互作用.

研究的目的:

  • 开发一个生物信息工具,Snowprint,用于预测监管者:操作者相互作用.
  • 为了促进新型带诱导转录调节器的发现和工程.
  • 为了使生物制造应用程序的新生物传感器的创建.

主要方法:

  • 开发Snowprint,一种蛋白质不可知生物信息工具,用于预测调节器:运行器DNA结合特异性.
  • 与实验验证的调节器相比,雪印的基准测试:在多种生物和蛋白质家族中对操作器配对.
  • 使用Snowprint设计新型调节剂的促进剂,并选它们用于基因表达控制和化合物反应.

主要成果:

  • 雪印预测显示,超过45%的经过验证的调节器:操作器对在9个类和5个结构家族中具有显著的相似性.
  • 使用Snowprint设计的促进器能够控制33个以前未被描述的调节器中的28个基因表达,其中24个显示>20倍的动态范围.
  • 新改造的调节器进行了选,从而发现了多基化物,化物,类固醇和化物的传感器,其诱导比率高达10.7倍.

结论:

  • 雪印是预测调节器:操作器相互作用的强大而通用的工具,有助于发现新型联体诱导转录调节器.
  • 该工具通过允许定制遗传电路和生物传感器的设计来加速生物工程.
  • 雪印在生物制造中具有实际应用,促进了对有价值化合物的传感器的开发.