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

876
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...
876
Combinatorial Gene Control02:33

Combinatorial Gene Control

8.3K
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...
8.3K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

7.9K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
7.9K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

3.0K
3.0K
What is Genetic Engineering?00:49

What is Genetic Engineering?

73.9K
Overview
73.9K
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

9.8K
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...
9.8K

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

Quantification of the Mechanical Response of the Plantar Fascia to Changes in Rearfoot Position.

Journal of the American Podiatric Medical Association·2026
Same author

Gait Adaptation to Asymmetric Foot-Ground Compliance Applied by Robotic Footwear.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Simultaneous dimension and tolerance design for robot manipulator considering cost and positioning accuracy reliability.

The International journal, advanced manufacturing technology·2026
Same author

Electronic Actuation of Surface-Immobilized, pH-Responsive DNA Nanoswitches.

ACS applied materials & interfaces·2026
Same author

Management of metallo-β-lactamase-producing Enterobacterales infections: a modified Delphi study.

JAC-antimicrobial resistance·2026
Same author

Design and Characterization of the AdjuSST: An Adjustable Surface Stiffness Treadmill.

IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division·2026

相关实验视频

Updated: Jun 16, 2025

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression
11:23

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

Published on: October 6, 2019

10.2K

为结构工程设计开发新型基因监管网络

Rahul Dubey1,2, Simon Hickinbotham3, Andrew Colligan4

  • 1Missouri State University, Department of Computer Science.

Artificial life
|August 16, 2024
PubMed
概括

本研究介绍了一种进化和发展 (evo-devo) 框架,用于自动化结构工程设计. 新的真实编码NEAT算法有效地演变多样化的设计,并优于现有的方法.

关键词:
在 CGP CGP 中.进化的搜索 进化的搜索这就是NEAT的意义.设计优化设计优化基因监管网络 基因监管网络

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

2.1K
Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

12.4K

相关实验视频

Last Updated: Jun 16, 2025

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression
11:23

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

Published on: October 6, 2019

10.2K
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

2.1K
Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

12.4K

科学领域:

  • 工程 工程师 工程师 工程师
  • 计算生物学 计算生物学
  • 人工智能的人工智能

背景情况:

  • 工程设计优化通常需要人类的专业知识,并与一般化性作斗争.
  • 现有的设计生成搜索技术在参数调整和可扩展性方面存在局限性.
  • 进化和发展 (evo-devo) 概念为自动化复杂的设计过程提供了一种生物启发的方法.

研究的目的:

  • 通过使用evo-devo原则引入一个用于自动化结构工程设计演变的新框架.
  • 探索通过神经网络和遗传编程实现的人工基因调节网络 (GRNs).
  • 开发和评估一种新的神经进化方法,即实时编码的NEAT (RNEAT),用于进化各种工程设计.

主要方法:

  • 由进化和发育 (evo-devo) 生物学所启发的框架被开发出来.
  • 人工基因调节网络 (GRNs) 通过神经网络和遗传编程来模拟.
  • 一种新的实值编码的神经进化方法,实值编码NEAT (RNEAT),被引入进化人工GRNs.

主要成果:

  • 拟议的框架成功地为2D和3D问题生成了多样化的结构设计.
  • 实时编码的NEAT (RNEAT) 算法在超过50%的测试问题中表现出与已建立的进化技术相比更高的性能.
  • 该研究验证了使用evo-devo原则用于自动化工程设计进化的概念.

结论:

  • 灵感来自evo-devo的框架为自动化结构工程设计的演变提供了一种有效的方法.
  • 在RNEAT算法显示显著的希望产生多样化和优化的工程解决方案.
  • 这项研究验证了生物灵感计算方法在推进工程设计优化方面的潜力.