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

Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

857
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...
857
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

22.1K
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...
22.1K
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

6.3K
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...
6.3K
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

9.6K
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...
9.6K
Co-activators and Co-repressors02:04

Co-activators and Co-repressors

7.2K
Gene transcription is regulated by the synergistic action of several proteins that form a complex at a gene regulatory site. This is observed in eukaryotes, where the regulation of gene expression is a complex process. Regulatory proteins in eukaryotes can broadly be classified into two types – regulators that bind directly to specific DNA sequences and co-regulators that associate with regulatory proteins but cannot directly bind to the DNA. These co-regulators are further divided into...
7.2K
RNA Polymerase II Accessory Proteins02:36

RNA Polymerase II Accessory Proteins

9.0K
Proteins that regulate transcription can do so either via direct contact with RNA Polymerase or through indirect interactions facilitated by adaptors, mediators, histone-modifying proteins, and nucleosome remodelers. Direct interactions to activate transcription is seen in bacteria as well as in some eukaryotic genes. In these cases, upstream activation sequences are adjacent to the promoters, and the activator proteins interact directly with the transcriptional machinery. For example, in...
9.0K

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

Generating synthetic multi-national longitudinal cohorts for clinically grounded HIV research.

Nature communications·2026
Same author

scDIG: An R Shiny Application for Interactive Density-Based Gating of Single-Cell Proteomic and Transcriptomic Data.

bioRxiv : the preprint server for biology·2026
Same author

WayFindR: investigating feedback in biological pathways.

NAR genomics and bioinformatics·2026
Same author

Clustering Digestive Tract Tumors Using Transcriptomic and Mutation Data.

Cancers·2026
Same author

A shape-constrained regression and wild bootstrap framework for reproducible drug synergy testing.

bioRxiv : the preprint server for biology·2026
Same author

OpenScientist: evaluating an open agentic AI co-scientist to accelerate biomedical discovery.

medRxiv : the preprint server for health sciences·2026
Same journal

Correction: Mahmud et al. Thymoquinone Attenuates NF-κβ Signalling Activation in Retinal Pigment Epithelium Cells Under AMD-Mimicking Conditions. <i>Int. J. Mol. Sci.</i> 2025, <i>26</i>, 11473.

International journal of molecular sciences·2026
Same journal

Correction: Borovikov et al. The Twisting and Untwisting of Actin and Tropomyosin Filaments Are Involved in the Molecular Mechanisms of Muscle Contraction, and Their Disruption Can Result in Muscle Disorders. <i>Int. J. Mol. Sci</i>. 2025, <i>26</i>, 6705.

International journal of molecular sciences·2026
Same journal

Correction: Molagoda et al. Flavonoid Glycosides from <i>Ziziphus jujuba</i> var. <i>inermis</i> (Bunge) Rehder Seeds Inhibit α-Melanocyte-Stimulating Hormone-Mediated Melanogenesis. <i>Int. J. Mol. Sci.</i> 2021, <i>22</i>, 7701.

International journal of molecular sciences·2026
Same journal

Correction: Guo et al. Integrated Transcriptomic and Metabolomic Analysis Reveals the Molecular Regulatory Mechanism of Flavonoid Biosynthesis in Maize Roots Under Lead Stress. <i>Int. J. Mol. Sci.</i> 2024, <i>25</i>, 6050.

International journal of molecular sciences·2026
Same journal

Correction: Chang et al. Improvement of Carbon Tetrachloride-Induced Acute Hepatic Failure by Transplantation of Induced Pluripotent Stem Cells Without Reprogramming Factor c-Myc. <i>Int. J. Mol. Sci.</i> 2012, <i>13</i>, 3598-3617.

International journal of molecular sciences·2026
Same journal

Correction: Pînzariu et al. Gut Microbiota and Short-Chain Fatty Acids: Key Factors in Pediatric Obesity and Therapeutic Targets. <i>Int. J. Mol. Sci.</i> 2025, <i>26</i>, 11503.

International journal of molecular sciences·2026
查看所有相关文章

相关实验视频

Updated: May 20, 2025

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
09:44

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes

Published on: March 3, 2015

9.4K

转录组复杂性的解:一个调节分子的方法.

Amir Asiaee1, Zachary B Abrams2, Heather H Pua3

  • 1Department of Biostatistics, Vanderbilt University Medical Center, 2525 West End Avenue, Nashville, TN 37203, USA.

International journal of molecular sciences
|March 27, 2025
PubMed
概括
此摘要是机器生成的。

一小组转录因子 (TF) 和微RNA (miRNA) 可以准确预测全基因组基因表达. 这种以生物学为导向的方法揭示了转录组的低维结构,使得成本效益高的基因表达分析成为可能.

关键词:
这是一个低维结构结构.微型RNAs (miRNAs) 是一种微型RNA.组织意识建模模型转录因子 (TF) 是一种转录因子.转录组表示表现的转录组表示.

更多相关视频

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
07:23

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome

Published on: June 15, 2016

8.3K
Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
12:54

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

13.4K

相关实验视频

Last Updated: May 20, 2025

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
09:44

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes

Published on: March 3, 2015

9.4K
Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
07:23

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome

Published on: June 15, 2016

8.3K
Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
12:54

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

13.4K

科学领域:

  • 基因组学就是基因组学.
  • 分子生物学分子生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 转录因子 (TFs) 和微RNA (miRNAs) 是基因表达和细胞过程的关键调节者.
  • 了解预测全球基因表达所需的最小调节器组对于推进转录组学至关重要.

研究的目的:

  • 为了确定有限数量的TF和miRNA是否可以准确预测全基因组基因表达.
  • 使用精选的调节分子开发基因表达的预测模型.
  • 为了探索转录组的低维结构.

主要方法:

  • 在31种癌症类型的癌症基因组图谱 (TCGA) 中分析了8895种癌症样本.
  • 无监督学习识别miRNAs和TFs的集群,选择medoids作为代表分子.
  • 组织不可知和组织意识模型的开发,以使用56个选择的中小RNA和TFs来预测基因表达.

主要成果:

  • 确定了28个miRNA和28个TF集群; medoids以92.8%的准确度区分了起源组织.
  • 组织意识模型在预测基因表达方面获得了0.70的R2,与1000个里程碑基因相比,尽管使用了更少的分子.
  • 证明了一小部分调节分子可以捕捉转录组内在的低维结构.

结论:

  • 使用最小的TF和miRNA集的生物学导向方法可以稳定地代表转录组范围内的基因表达.
  • 这种方法为具有成本效益的转录组测定和低质量样本分析提供了潜力.
  • 这些发现提供了对miRNAs/TFs与替代机制对基因调节的见解,尽管模型的可转移性需要进一步调查.