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相关概念视频

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Genetic Screens02:46

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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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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.
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Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...
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相关实验视频

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基于大量RNA测序数据和多机器学习模型,识别眼的枢纽基因.

Yangyang Xie1, Kai Yu2

  • 1Pharmacy Department, The Affiliated Ningbo Eye Hospital of Wenzhou Medical University, Ningbo, 325000, China.

Current medicinal chemistry
|February 16, 2024
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概括

这项研究使用机器学习识别了青光瘤的8个枢纽基因,并建立了一个诊断模型. 这些发现提供了对眼病原体和潜在治疗点的新见解.

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眼光障碍症 眼光障碍症 眼光障碍症拉索回归模型的回归模型在WGCNA中,WGCNA是WGCNA.诊断模型. 诊断模型.随机森林模型随机森林模型支持向量机器模型模型

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科学领域:

  • 基因组学和生物信息学
  • 眼科医生 眼科 眼科
  • 计算生物学是一种计算生物学.

背景情况:

  • 玻璃眼瘤是导致失明的主要原因,原因是眼内压力升高会损害视神经.
  • 目前青光眼的诊断方法缺乏分子特异性.
  • 了解青光眼的分子机制对于开发有效治疗方法至关重要.

研究的目的:

  • 使用多个机器学习算法识别与眼相关的关键基因 (枢纽基因).
  • 阐明基因调节网络和基因调节网络的分子机制,这些基因调节网络是青光眼的基础.
  • 建立一个分子诊断模型,并探索潜在的药物-基因-疾病网络,以治疗青光眼.

主要方法:

  • 使用了基因表达综合数据库中的微阵列数据 (GSE9944).
  • 应用随机森林 (RF),最小绝对收缩和选择操作员 (LASSO) 和支持向量机 (SVM) 用于特征选择.
  • 进行了权重基因联合表达网络分析 (WGCNA),以识别与青光眼有关的基因.
  • 整合了四种方法的结果,以确定重叠的枢纽基因,并构建了一个诊断模型.
  • 对基因药物相互作用和免疫细胞透进行了分子对接和CIBERSORT分析.

主要成果:

  • 已经确定了8个枢纽基因:ATP6V0D1,PLEC,SLC25A1,HRSP12,PKN1,RHOD,TMEM158和GSN.
  • 开发了一种分子诊断模型,用于眼,曲线下的面积为1.
  • GSN基因在T细胞群 (CD4原始和Tregs) 中显示出潜在的调节作用.
  • 构建基因药物网络以识别眼的潜在治疗剂.

结论:

  • 成功识别了8个关键的枢纽基因和一种高度准确的玻璃眼瘤分子诊断模型.
  • 这项研究为进一步研究青光眼病原和治疗策略提供了基础.
  • 已识别的枢纽基因和网络为新眼治疗提供了潜在的目标.