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相关概念视频

Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Cell Surface Receptor Identification Using Genome-Scale CRISPR/Cas9 Genetic Screens
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评估基于蛋白质表面的评分,用于解释基因组变异.

Nikita R Dsouza1, Neshatul Haque1, Swarnendu Tripathi1

  • 1Computational Structural Genomics Unit, Linda T. and John A. Mellowes Center for Genomics Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

International journal of molecular sciences
|November 27, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的方法,通过使用3D结构和模拟来分析蛋白质表面特性变化来解释遗传变异. 这种方法有助于理解变异函数和指导功能基因组学研究.

关键词:
基因组数据的解释分子遗传学分子遗传学蛋白质科学 蛋白质科学蛋白质表面蛋白质表面蛋白质

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
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科学领域:

  • 基因组学就是基因组学.
  • 结构生物学 结构生物学
  • 计算生物学 计算生物学

背景情况:

  • 临床基因组学测序产生了许多需要功能解释的遗传变异.
  • 当前的变异分析往往忽略了三维 (3D) 蛋白质结构及其表面特性.
  • 了解蛋白质与环境的相互作用对于变体解释至关重要.

研究的目的:

  • 提出一种标准化的方法来评分蛋白质表面特性变化,以帮助解释基因组变异.
  • 开发一种新的计算方法,利用3D结构和模拟来进行变异分析.
  • 加强功能基因组学研究的假设生成.

主要方法:

  • 开发了一种使用3D蛋白质结构和时间依赖模拟来得分和统计评估蛋白质表面性质变化的新方法.
  • 评估了使用积极对照 (热友与中友的正方体) 和已知的可溶性改变变体的方法.
  • 将该方法应用于静态3D结构和动态组合,用于四种蛋白质中的43种变体,包括KCNK9.

主要成果:

  • 阳性对照和可溶性变异显示电荷分布在统计学上有显著差异 (p < 0.01).
  • 对KCNK9变体的分析显示了显著的表面电位转移,特别是在动态组合中 (平均p值为1 × 10^-5).
  • 该方法确定了功能相关的表面变化,甚至远离突变部位.

结论:

  • 对蛋白质表面突变诱导的静电变化的客观评估有助于基因组变异的解释.
  • 结合3D结构动力学提供了比静态分析更深入的机械洞察力.
  • 这种方法为从临床测序获得的遗传变异的功能和机制解释提供了一个新的维度.