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

Combinatorial Gene Control02:33

Combinatorial Gene Control

9.4K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
9.4K
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

11.5K
Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
11.5K
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

1.3K
The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
1.3K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

3.8K
3.8K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

25.6K
Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...
25.6K
Lineage Commitment01:21

Lineage Commitment

4.0K
Commitment is the  process whereby stem cells:
4.0K

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

Quantitative proteomics identifies surfactant-resistant alpha-synuclein in cerebral cortex of Parkinsonism-dementia complex of Guam but not Alzheimer's disease or progressive supranuclear palsy.

The American journal of pathology·2007
Same author

Different supramolecular assemblies in two 1:1 proton-transfer compounds of sulfobenzoic acids with aromatic amines.

Acta crystallographica. Section C, Crystal structure communications·2007
Same author

Identification of proteins involved in microglial endocytosis of alpha-synuclein.

Journal of proteome research·2007
Same author

Biomarkers for Alzheimer's disease.

Expert review of neurotherapeutics·2007
Same author

[Role of sympathetic nerve activity and arterial endothelial function in pathogenesis of hypertension in patients with obstructive sleep apnea-hypopnea syndrome].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases·2007
Same author

Subsequently enhanced CPP to morphine following chronic but not acute footshock stress associated with corticosterone mechanism in rats.

The International journal of neuroscience·2007

相关实验视频

Updated: Jan 8, 2026

Prediction and Validation of Gene Regulatory Elements Activated During Retinoic Acid Induced Embryonic Stem Cell Differentiation
09:07

Prediction and Validation of Gene Regulatory Elements Activated During Retinoic Acid Induced Embryonic Stem Cell Differentiation

Published on: June 21, 2016

8.6K

通过可修复参数化的子集解释来识别细胞命运决定的组合调节基因.

Junhao Liu1, Pengpeng Zhang1, Martin Renqiang Min2

  • 1University of California, Irvine, Department of Computer Science, Irvine, California, USA.

KDD : proceedings. International Conference on Knowledge Discovery & Data Mining
|December 22, 2025
PubMed
概括

使用一个新的框架,MetaVelo识别了驱动细胞命运过渡的关键基因组. 这种方法通过揭示复杂的基因相互作用来增强对发育生物学和疾病的理解.

关键词:
为了科学,人工智能监管基因识别的监管一个单单元格数据.

更多相关视频

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

2.6K
Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
07:55

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

10.7K

相关实验视频

Last Updated: Jan 8, 2026

Prediction and Validation of Gene Regulatory Elements Activated During Retinoic Acid Induced Embryonic Stem Cell Differentiation
09:07

Prediction and Validation of Gene Regulatory Elements Activated During Retinoic Acid Induced Embryonic Stem Cell Differentiation

Published on: June 21, 2016

8.6K
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

2.6K
Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
07:55

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

10.7K

科学领域:

  • 发育生物学 发展生物学
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 细胞命运决定是复杂的,涉及复杂的基因相互作用.
  • 这些过程中出现的干扰会导致发育问题和疾病.
  • 现有的方法很难有效地模拟这些组合基因相互作用.

研究的目的:

  • 介绍MetaVelo,一个用于识别细胞命运过渡中的关键调节基因组的框架.
  • 克服传统方法在捕捉组合基因效应方面的局限性.
  • 提供一个可扩展的工具来分析单细胞RNA测序数据.

主要方法:

  • 模型细胞命运过渡作为一个黑子函数.
  • 使用可微分的神经普通微分方程 (ODE) 替代品进行优化.
  • 将问题修复为可控制的数据生成过程.

主要成果:

  • 在预测发育轨迹方面,MetaVelo的表现优于12种基线方法.
  • 成功识别了影响细胞命运的组合性调节基因组.
  • 区分独立和协同调节基因.

结论:

  • 梅塔维洛为了解细胞命运动态提供了一个卓越的框架.
  • 提供了对发展和疾病至关重要的基因相互作用的新见解.
  • 通过单细胞数据实现发育生物学和治疗应用的进步.