Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Epistasis Analysis01:09

Epistasis Analysis

4.9K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
4.9K
Epistasis01:39

Epistasis

45.6K
In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
45.6K
Genetic Lingo01:11

Genetic Lingo

100.3K
Overview
100.3K
Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

6.4K
Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
6.4K
Pedigree Analysis01:35

Pedigree Analysis

83.8K
Overview
83.8K
Incomplete Dominance01:43

Incomplete Dominance

21.0K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
21.0K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

DILI-Context: A Dose- and Exposure-Enriched Knowledge Base for Translational Liver Safety Assessment.

Toxicological sciences : an official journal of the Society of Toxicology·2026
Same author

Cardiorenal Hemodynamic Coupling: Mechanical Circulatory Support Augments Renal Blood Flow via Renal Vasodilation.

JACC. Basic to translational science·2026
Same author

Flow-mediated endothelial remodeling and inflammation drive developmental vascular susceptibility in ldlr loss of function.

Nature communications·2026
Same author

Toward Smart and Adaptive Endovascular Devices: The Role of Digital Twins in Precision Vascular Medicine.

Interventional cardiology clinics·2026
Same author

Endovascular Drug Delivery from Stents and Balloons in Peripheral Arteries: What Every Interventionalist Must Know.

Interventional cardiology clinics·2026
Same author

3D endothelial cell scaffolds protect liver explants and exhibit therapeutic effects on liver fibrosis.

JHEP reports : innovation in hepatology·2026
Same journal

Systematic bottom-up coarse-graining of hydrated excess proton transport across scales.

Nature computational science·2026
Same journal

Gaining biological insights through supervised data visualization.

Nature computational science·2026
Same journal

The inequalities of GPU access.

Nature computational science·2026
Same journal

Social technologies need societal alignment.

Nature computational science·2026
Same journal

The Quantum Optimization Benchmarking Library.

Nature computational science·2026
Same journal

Setting benchmarks for practical quantum utility of combinatorial optimization.

Nature computational science·2026
查看所有相关文章

相关实验视频

Updated: May 30, 2025

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

20.6K

多模式学习用于绘制基因型-表型动态的映射.

Farhan Khodaee1, Rohola Zandie2, Elazer R Edelman2,3

  • 1Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA. farhank@mit.edu.

Nature computational science
|January 28, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了使用人工智能分析基因表达和细胞特征的综合遗传学框架,揭示了对基因功能和细胞多样性的新见解.

更多相关视频

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

9.6K
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

3.5K

相关实验视频

Last Updated: May 30, 2025

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

20.6K
Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

9.6K
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

3.5K

科学领域:

  • 基因组学和计算生物学
  • 分子生物学和遗传学分子生物学和遗传学

背景情况:

  • 了解复杂的基因型和表型之间的联系是一个关键的生物学挑战.
  • 单细胞RNA测序和语言模型为剖析基因表达模式提供了强大的工具.

研究的目的:

  • 开发一个计算框架,同时分析高维基基因型和表型数据.
  • 创建一个多式模式的基础模型,用于在细胞水平上探索人类转录基因组基因型-表型关系.

主要方法:

  • 开发了一个计算综合遗传学框架.
  • 将多式联络基础模型应用于人类的转录基因数据.
  • 分析了基因型和表型的联合多样性.

主要成果:

  • 实现了细胞异质性的精细分辨率.
  • 确定了潜在的跨组织生物标志物.
  • 提供了上下文化的基因嵌入,以内皮细胞中的威尔布兰德因子 (VWF) 基因为例.

结论:

  • 这项研究促进了对基因表达和表型表现动态的理解.
  • 展示了综合遗传学在发现细胞功能和复杂性的潜力.