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

Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Protein Networks02:26

Protein Networks

2.8K
2.8K
Constitutive and Regulated Gene Expression01:27

Constitutive and Regulated Gene Expression

944
Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...
944
Combinatorial Gene Control02:33

Combinatorial Gene Control

9.5K
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...
9.5K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

15.3K
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...
15.3K
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

7.2K
Transcriptional regulators bind to specific cis-regulatory sequences in the DNA to regulate gene transcription. These cis-regulatory sequences are very short, usually less than ten nucleotide pairs in length. The short length means that there is a high probability of the exact same sequence randomly occurring throughout the genome.  Since regulators can also bind to groups of similar sequences, this further increases the chances of random binding. Transcriptional regulators form...
7.2K

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

A Phytosulfokine signaling module activates the Nod factor receptor to control soybean nodulation.

Nature communications·2026
Same author

TGFβR Hyperactivation Drives CD103⁺/ITGB2⁺ TRM Cell Accumulation in High-Fat Diet-Exacerbated CIA.

International journal of biological sciences·2026
Same author

Correction: Designing high-performance infrared optoelectronic materials: indium-site substitution in LiInSe<sub>2</sub> with Al, Ga, Sn, and Sb.

RSC advances·2026
Same author

Image-guided thoracoscopic segmentectomy via single-shot statistical gating of blood-scattered laser speckle.

Biomedical optics express·2026
Same author

A Coumarin Compound Derived From Zanthoxylum avicennae Reduces the Pathogenicity of Fusarium verticillioides by Directly Binding to and Inhibiting Glycoside Hydrolase 3 Activity.

Molecular plant pathology·2026
Same author

Single-cell perturbations decipher ribosomal stress-surveillance regulators in type 2 diabetes.

Nature metabolism·2026

相关实验视频

Updated: Jan 17, 2026

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

凯格尼:知识图增强基因调控网络推断框架.

Pengxiao Li1, Lin Li1, Jingminjie Nan2

  • 1Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.

Genome biology
|September 22, 2025
PubMed
概括

我们开发了KEGNI,这是一个用于从单细胞RNA测序数据中推断基因调节网络 (GRNs) 的新框架. 凯格尼利用知识图来提高识别基因调节关系和驱动基因的准确性.

关键词:
基因监管网络是基因监管网络.知识图表知识图表多任务学习是多任务学习.这就是ScRNA-seqq.自主监督学习学习

更多相关视频

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.1K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.2K

相关实验视频

Last Updated: Jan 17, 2026

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
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.1K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.2K

科学领域:

  • 计算生物学 计算生物学
  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 基因调节网络 (GRNs) 对于理解细胞机制至关重要.
  • 推断细胞类型特定的GRNs是必不可少的,但在复杂的生物数据中具有挑战性.
  • 现有的方法往往缺乏有效地整合先前的生物知识的能力.

研究的目的:

  • 介绍KEGNI (知识图增强基因调控网络推理),这是GRN推理的新框架.
  • 用单细胞RNA测序 (scRNA-seq) 数据提高GRN推断的准确性和可解释性.
  • 证明KEGNI在识别驱动基因和阐明监管机制方面的能力.

主要方法:

  • 凯格尼采用以知识为导向的方法,使用图形自编码器.
  • 它集成了一个知识图,以捕捉和推断基因调节关系.
  • 该框架旨在处理scRNA-seq数据,并有可能对scRNA-seq和scATAC-seq数据进行配对.

主要成果:

  • 在GRN推断中,KEGNI在现有方法中表现优越.
  • 该框架成功地在不同的细胞环境中识别了驱动基因.
  • 凯格尼有效地利用综合知识阐明了复杂的监管机制.

结论:

  • 凯格尼提供了一种强大而准确的方法来推断细胞类型特定的GRNs.
  • 以知识为导向的方法增强了从scRNA-seq数据对基因调节的理解.
  • 凯格尼的模块化设计允许灵活整合各种知识来源,用于各种应用.