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

Genetic Drift03:33

Genetic Drift

40.7K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
40.7K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

59.4K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
59.4K
Gene Duplication and Divergence02:37

Gene Duplication and Divergence

6.3K
The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
6.3K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.4K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
7.4K
Gene Flow02:39

Gene Flow

35.6K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
35.6K
Gene Families01:57

Gene Families

9.1K
Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...
9.1K

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

Medulloblastoma immune microenvironment resembles early brain development and reveals novel basophil- B cell- associated signatures.

Neuro-oncology advances·2026
Same author

The intermediate-risk gap in AI-based breast cancer stratification - Authors' reply.

The Lancet. Oncology·2026
Same author

Probiotic yeast engineers a protective biofilm environment to enhance bioremediation and seahorse health in aquaculture.

Biofilm·2026
Same author

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study.

The Lancet. Oncology·2026
Same author

Regulation of transcription by R loop-nucleated transcription condensate assembly.

Cell & bioscience·2026
Same author

CellMentor: cell-type aware dimensionality reduction for single-cell RNA-sequencing data.

Nature communications·2025
Same journal

Circadian Homeostasis of Liver Metabolism Suppresses Hepatocarcinogenesis.

Cancer cell·2026
Same journal

Vascular RhoJ Is an Effective and Selective Target for Tumor Angiogenesis and Vascular Disruption.

Cancer cell·2026
Same journal

Intratumoral B cells under stress.

Cancer cell·2026
Same journal

Chronic stress unleashes an intratumor phage-fibroblast-B cell circuit to promote tumor growth.

Cancer cell·2026
Same journal

Molecular phenotypes and spatial archetypes: A new framework for cancer-associated fibroblasts.

Cancer cell·2026
Same journal

OpenIO: An open framework for AI-native immunotherapy.

Cancer cell·2026
查看所有相关文章

相关实验视频

Updated: Sep 10, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K

从基因列表到上下文

Zhongyang Lin1, Dvir Aran2

  • 1Faculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel.

Cancer cell
|August 22, 2025
PubMed
概括
此摘要是机器生成的。

研究人员开发了RECODR, 这是一种跟踪随时间变化的基因关系的新方法. 这种方法确定了癌症治疗耐药性的新驱动因素,并提出了有效的组合疗法.

更多相关视频

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

9.7K
Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
10:40

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

10.6K

相关实验视频

Last Updated: Sep 10, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K
A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

9.7K
Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
10:40

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

10.6K

科学领域:

  • 癌症学
  • 基因组学
  • 系统生物学

背景情况:

  • 抗治疗是限制长期癌症治疗有效性的一个主要挑战.
  • 目前的生物标志物通常依赖于静态基因表达,无法捕捉动态的生物变化.
  • 了解基因相互作用的时间动态对于克服耐药性至关重要.

研究的目的:

  • 引入RECODR (关系式CO表达DRiving),这是一个新的计算方法.
  • 分析与癌症治疗抵抗相关的动态基因关系转移.
  • 确定新的治疗目标和组合策略.

主要方法:

  • 开发和应用RECODR算法
  • 随着时间的推移对基因共同表达网络动态的分析.
  • 时间基因关系数据与耐药性表型的整合.

主要成果:

  • RECODR成功地发现了以前未知的治疗耐药性的驱动因素.
  • 这种方法揭示了基因相互作用网络的动态变化.
  • 基于时间网络转移的预测组合治疗显示出潜在的疗效.

结论:

  • RECODR提供了一个强大的新模式来解剖癌症治疗耐药性的复杂性.
  • 基因关系的动态分析提供了比静态方法更深入的见解.
  • 这种方法可以指导癌症患者开发更有效,更个性化的组合疗法.