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

9.9K
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...
9.9K
Genetic Screens02:46

Genetic Screens

5.9K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.9K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

1.3K
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
1.3K
Synthetic Biology02:55

Synthetic Biology

5.8K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.8K
What is Genetic Engineering?00:49

What is Genetic Engineering?

81.2K
Overview
81.2K
Network Function of a Circuit01:25

Network Function of a Circuit

995
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
995

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

Improving the precision of AAV lung gene therapy for SP-B deficiency using computationally derived lung-specific promoters.

Gene therapy·2026
Same author

Consumption of the degradation products of nylon 6 and nylon 6,6 as the sole carbon and nitrogen source by engineered Acinetobacter baylyi.

Metabolic engineering·2026
Same author

Optimizing Bispecific Antibody Expression via Multi-Omics Analysis and Vector Redesign.

Biotechnology and bioengineering·2026
Same author

Protecting cells at the genetic level and simulating unauthorized access via a biohackathon.

Science advances·2026
Same author

Identification of computationally designed skeletal and cardiac promoters with high specificity across AAV delivery routes.

BMC biotechnology·2026
Same author

Synthetic circuits for cell ratio control.

Nature·2026

相关实验视频

Updated: Mar 23, 2026

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins
10:46

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins

Published on: October 18, 2022

2.4K

基因电路设计自动化

Alec A K Nielsen1, Bryan S Der2, Jonghyeon Shin1

  • 1Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Science (New York, N.Y.)
|April 2, 2016
PubMed
概括

我们开发了Cello,一个用于DNA编码的基因电路的设计环境. 这种自动化简化了生物技术应用的复杂生物电路的创建,改善了决策和控制.

更多相关视频

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

793
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

13.0K

相关实验视频

Last Updated: Mar 23, 2026

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins
10:46

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins

Published on: October 18, 2022

2.4K
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

793
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

13.0K

科学领域:

  • 合成生物学
  • 计算生物学
  • 分子工程

背景情况:

  • 活细胞可以使用DNA编码的电路进行计算.
  • 由于手工组装和表达平衡,构建这些电路目前需要大量的时间.

研究的目的:

  • 介绍Cello,一个自动化创建DNA编码遗传电路的设计环境.
  • 简化和加快生物技术中的遗传电路设计过程.

主要方法:

  • 用户编写Verilog代码,然后Cello将其转化为DNA序列.
  • 算法处理电路设计,门分配,连接和性能模拟.
  • 在大肠杆菌中测试了基因电路设计.

主要成果:

  • 塞洛成功设计了大肠杆菌的60个遗传回路.
  • 在60个设计的电路中,有45个在所有输出状态中运行正确.
  • 所有设计的输出状态的92%都按照软件的预测运行.

结论:

  • 细胞设计自动化简化了将基因电路纳入生物技术的过程.
  • 这种方法促进了在生物系统中需要决策,控制,传感和空间组织的应用.