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相关概念视频

Karyotyping01:17

Karyotyping

Overview
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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...
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
Human Genetics01:28

Human Genetics

Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...

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相关实验视频

Updated: May 8, 2026

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

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单核跨组织分子参考地图,以了解疾病基因功能

Gökcen Eraslan1, Eugene Drokhlyansky1, Shankara Anand2

  • 1Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

Science (New York, N.Y.)
|May 13, 2022
PubMed
概括

这项研究创建了来自不同组织的综合基因表达图谱,揭示了参与正常身体功能和各种疾病的细胞类型. 这本地图书有助于了解单基因和复杂基因疾病中的基因作用.

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Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
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相关实验视频

Last Updated: May 8, 2026

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科学领域:

  • 基因组学和分子生物学
  • 细胞和组织生物学
  • 计算生物学

背景情况:

  • 基因功能和调节对于维持平衡和了解疾病至关重要.
  • 对细胞和组织特异性基因表达的了解对于这种理解至关重要.
  • 现有的地图集可能缺乏跨组织整合和跨样本的标准化分析.

研究的目的:

  • 创建一个全面的,综合的基因表达特征跨组织图谱.
  • 在各种组织类型中识别共享和组织特异性的细胞特征.
  • 将细胞类型和基因模块与单一性疾病和复杂性特征的病理联系起来.

主要方法:

  • 四种单核RNA测序 (snRNA-seq) 方法的应用.
  • 分析了来自16位捐献者 (25个样本) 的8种不同的,已存档的冷组织类型.
  • 使用条件变化自编码器集成209126个核配置文件.

主要成果:

  • 创建一个单核基因表达的大型跨组织图谱.
  • 组织内细胞群的共同和组织特异性特征的识别.
  • 确定可能涉及单一性疾病和复杂性特征的细胞类型和基因模块.

结论:

  • 跨组织地图为了解健康和疾病中的基因表达提供了宝贵的资源.
  • 这些发现有助于识别神经肌肉,代谢和免疫病理中的细胞参与者.
  • 这种资源可以促进研究复杂遗传特征的疾病机制.