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

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
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

10.1K
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...
10.1K
RNA-seq03:21

RNA-seq

10.4K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.4K

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

Monoclonal nephritic factors reveal insights into C3 convertase dynamics and dysregulation.

bioRxiv : the preprint server for biology·2026
Same author

Beyond Source Restrictions: Combined Mitigation Strategies Substantially Reduce Emissions and Exposure of Intentionally Added Microplastics in the UK.

Integrated environmental assessment and management·2026
Same author

Describing the whiskers of a semi-aquatic caniform: the Eurasian Otter (<i>Lutra lutra</i>).

Journal of mammalogy·2026
Same author

Correction: Revisionist History is Not Helpful. A Response to Allen, et al., MCH and Abortion: Toward a Stronger Relationship.

Maternal and child health journal·2026
Same author

Challenges and Advances in Bioinformatics and Computational Biology.

Current issues in molecular biology·2026
Same author

Revisionist History is Not Helpful. A Response to Allen, et al., MCH and Abortion: Toward a Stronger Relationship.

Maternal and child health journal·2026
Same journal

Correction: Wang et al. Phosphatidylserine Decarboxylase Promotes Ferroptosis Through STAT3/GPX4 Signaling in Gastric Cancer. <i>Curr. Issues Mol. Biol.</i> 2026, <i>48</i>, 300.

Current issues in molecular biology·2026
Same journal

Exploring the Relationship Between Protein-Level Ratios (rQLTs) and Duodenal Ulcer.

Current issues in molecular biology·2026
Same journal

Metformin as an Innate Immune Modulator: Metabolic and Epigenetic Reprogramming of Innate Immune Cells and Therapeutic Implications.

Current issues in molecular biology·2026
Same journal

Comprehensive Bioinformatic Characterization of CD70, CD80, and TIGIT as Diagnostic, Prognostic, and Immune Biomarkers in Pan-Cancer.

Current issues in molecular biology·2026
Same journal

Genome-Wide Identification and Expression Analysis of the Thaumatin-like Protein Genes in <i>Filipendula ulmaria</i> under <i>Bipolaris sorokiniana</i> Infection.

Current issues in molecular biology·2026
Same journal

Recent Dominant Transposition Events Affect Gene Regulatory Regions, but Not Coding Sequences, in Polar and Brown Bear Genomes.

Current issues in molecular biology·2026
查看所有相关文章

相关实验视频

Updated: Sep 14, 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

重建动态基因调控网络使用时间序列scRNA-Seq数据的f-分歧.

Yunge Wang1, Lingling Zhang2, Tong Si3

  • 1Department of Mathematics and Statistics, Saint Louis University, St. Louis, MO 63103, USA.

Current issues in molecular biology
|July 23, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了f-DyGRN,这是一种从单细胞RNA测序数据推断动态基因调控网络的新方法. 它准确地捕捉了基因表达的变化随着时间的推移,超越现有的方法.

关键词:
格兰杰因果关系的原因.f-分歧的不同.基因监管网络 基因监管网络规范化 规范化 规范化一个单细胞RNA测序.时间序列数据数据时间序列数据时间变化的网络网络.

更多相关视频

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

12.4K
Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
06:24

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

3.7K

相关实验视频

Last Updated: Sep 14, 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
Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

12.4K
Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
06:24

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

3.7K

科学领域:

  • 计算生物学 计算生物学
  • 系统生物学 系统生物学
  • 基因组学就是基因组学.

背景情况:

  • 从时间序列单细胞RNA测序 (scRNA-seq) 数据中推断动态基因调控网络 (GRNs) 是复杂的.
  • 现有的方法与scRNA-seq数据的稀疏性,脱落和异质性作斗争,并且经常无法捕捉单细胞水平的动态调节变化.

研究的目的:

  • 提出一种新的方法,即基于f-分歧的动态基因调控网络推断 (f-DyGRN),用于从scRNA-seq数据中重建时间变化的GRN.
  • 为了解决当前方法的局限性,以捕捉单个细胞随时间变化的动态监管变化.

主要方法:

  • 利用f-分歧量化个体细胞的时间基因表达变异.
  • 整合了第一阶格兰杰因果关系模型与规范化和部分相关性分析.
  • 采用移动窗口策略来捕捉不同时间阶段的动态基因相互作用.

主要成果:

  • 与现有方法相比,f-DyGRN在重建动态监管网络方面表现优越.
  • 该方法成功分析了来自THP-1细胞的模拟和真实scRNA-seq数据.
  • 绩效取决于选择的f-差异度量.

结论:

  • f-DyGRN提供了一个强大的方法,可以从时间序列scRNA-seq数据中推断动态基因调节网络.
  • 该方法有效地处理scRNA-seq数据所带来的独特挑战.
  • 这一进步有助于理解单细胞水平上的动态生物过程.