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

Metabolism of Chemolithotrophs01:15

Metabolism of Chemolithotrophs

1.3K
Chemolithotrophs are microorganisms that obtain energy by oxidizing inorganic molecules such as hydrogen gas (H₂), ammonia (NH₃), reduced sulfur compounds (H₂S, S²⁻), and ferrous iron (Fe²⁺). Unlike heterotrophic organisms that rely on organic carbon, chemolithotrophs transfer electrons from these inorganic donors to the electron transport chain (ETC), generating a proton motive force (PMF) that drives ATP synthesis through oxidative phosphorylation.
1.3K
Biosynthesis in Bacteria01:24

Biosynthesis in Bacteria

1.0K
Biosynthesis in bacteria is a fundamental anabolic process that generates essential macromolecules, including proteins, nucleic acids, lipids, and polysaccharides. These macromolecules are critical for cellular growth, replication, and function. The process is tightly regulated and energetically linked to catabolic pathways to ensure optimal resource utilization.Biosynthetic pathways begin with precursor metabolites such as pyruvate, acetyl-CoA, and glucose-6-phosphate derived from glycolysis,...
1.0K
Operon Model01:23

Operon Model

2.6K
The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...
2.6K

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

The regulation of PSI cyclic electron transport by both plastoquinone and ferredoxin redox states: correlation with the rate of proton motive force utilization.

Frontiers in plant science·2025
Same author

Non-linear frequency doubling up-conversion of geothermal radiation cannot provide sufficient light to support oxygenic photosynthesis at deep-sea hydrothermal vents.

National science review·2025
Same author

Predicting the diversity of photosynthetic light-harvesting using thermodynamics and machine learning.

PLoS computational biology·2025
Same author

Reassessing the role and lifetime of Q <sub></sub> in the energy transfer dynamics of chlorophyll <i>a</i>.

Chemical science·2024
Same author

Optimizing photosynthetic light-harvesting under stars: simple and general antenna models.

Photosynthesis research·2024
Same author

Unravelling the fluorescence kinetics of light-harvesting proteins with simulated measurements.

Biochimica et biophysica acta. Bioenergetics·2023
Same journal

Editorial: Clinical prediction models in cancer through bioinformatics.

Frontiers in bioinformatics·2026
Same journal

RNApedia: a database of structural protein-RNA interactions.

Frontiers in bioinformatics·2026
Same journal

Hydrogen sulfide modulates gene networks in hypoxia/reoxygenation-stressed trophoblasts: insights from transcriptome profiling.

Frontiers in bioinformatics·2026
Same journal

Molecular Dynamics-Based validation of a quinazoline-based KRAS inhibitor (C9) identified through QSAR-guided discovery.

Frontiers in bioinformatics·2026
Same journal

Real-world chronic recordings from implantable adaptive deep brain stimulation systems for Parkinson's disease motor state classification.

Frontiers in bioinformatics·2026
Same journal

A foundational quantum framework for multi-pattern string matching in k-mer detection.

Frontiers in bioinformatics·2026
查看所有相关文章

相关实验视频

Updated: May 5, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

23.1K

评估转录组合用于基于蓝藻细菌约束的代谢建模.

Thomas Pugsley1,2, Guy Hanke1, Christopher D P Duffy1,2

  • 1School of Biological and Behavioural Sciences, Queen Mary University of London, London, United Kingdom.

Frontiers in bioinformatics
|February 20, 2026
PubMed
概括
此摘要是机器生成的。

METRADE*是将转录组学与蓝藻菌中的代谢模型集成的最佳方法. 这种方法改善了对细胞内流量的预测,这对于生物技术应用至关重要.

关键词:
流量平衡分析 流量平衡分析自otrophic 流量分布的自otrophic 流量分布.细胞表型 细胞表型中心碳代谢中心的碳代谢基于约束的代谢模型.蓝藻细菌是一种蓝藻细菌.验证验证的时间

更多相关视频

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

3.6K
Assembly and Quantification of Co-Cultures Combining Heterotrophic Yeast with Phototrophic Sugar-Secreting Cyanobacteria
05:44

Assembly and Quantification of Co-Cultures Combining Heterotrophic Yeast with Phototrophic Sugar-Secreting Cyanobacteria

Published on: December 27, 2024

1.7K

相关实验视频

Last Updated: May 5, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

23.1K
High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

3.6K
Assembly and Quantification of Co-Cultures Combining Heterotrophic Yeast with Phototrophic Sugar-Secreting Cyanobacteria
05:44

Assembly and Quantification of Co-Cultures Combining Heterotrophic Yeast with Phototrophic Sugar-Secreting Cyanobacteria

Published on: December 27, 2024

1.7K

科学领域:

  • 系统生物学 系统生物学
  • 代谢工程是代谢工程.
  • 合成生物学 合成生物学

背景情况:

  • 代谢建模对于各种应用至关重要,包括化合物生产和疾病分析.
  • 将转录组数据与基因组规模的代谢模型集成,可以在特定条件下增强对生物系统的理解.
  • 对于集成转录学和代谢模型的方法存在有限的验证,特别是对于蓝藻细菌.

研究的目的:

  • 评估和比较不同的方法,以整合转录基因组数据与基因组规模的代谢模型.
  • 评估这些集成方法在预测蓝藻细菌中自流量分布方面的性能.
  • 通过转录基因数据确定增强蓝藻细菌代谢模型的最佳方法.

主要方法:

  • 利用了来自 *Synechocystis* sp. 的现有转录组数据. 这是PCC 6803.
  • 与基因组规模代谢模型 iSynCJ816.16 集成的转录基因组数据.
  • 评估了数据集成和流量预测的多种方法选择.

主要成果:

  • METRADE* (使用单一目标优化) 在预测蓝藻细菌的细胞内流动方面表现出卓越的性能.
  • 该研究强调了METRADE*在多个绩效指标中的有效性.
  • 配置和扩展被确定为METRADE*实现最佳结果的关键因素.

结论:

  • 推METRADE*作为将转录组学与蓝色细菌中的代谢模型集成的最佳表现方法.
  • 成功的整合可以提高生物技术应用中的代谢模型的预测准确度.
  • 进一步的研究应该专注于优化蓝菌的集成方法的配置和扩展.