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 Metabolism01:19

Regulation of Metabolism

Cellular needs and conditions vary from cell to cell and change within individual cells over time. For example, the required enzymes and energetic demands of stomach cells are different from those of fat storage cells, skin cells, blood cells, and nerve cells. Furthermore, a digestive cell works much harder to process and break down nutrients during the time that closely follows a meal compared with many hours after a meal. As these cellular demands and conditions vary, so do the amounts and...

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

Stoichiometric analysis of microbial communities links function, structure, and biomass carrying capacity.

The ISME journal·2026
Same author

On the conditions for shifts in metabolic strategies.

PLoS computational biology·2026
Same author

Growth-rate dependent response of mycobacteria to relief of inhibition by a bacteriostatic antibiotic.

FEMS microbiology letters·2026
Same author

Gap Analysis of Metabolic Conversions of Off-Flavors and Antinutrients in Plant-Based Substrates.

Comprehensive reviews in food science and food safety·2026
Same author

Side-by-Side Systematic Characterization of Novel FPs in Budding Yeast.

ACS synthetic biology·2026
Same author

Metabolic thermodynamics: pertinent reference state and energy potentials.

The FEBS journal·2026
Same journal

Spatiotemporal bursting in simulated cultures of cortical neurons.

Bio Systems·2026
Same journal

A brief discussion on recent models shedding light on how life emerged.

Bio Systems·2026
Same journal

Memory-based strategy reputation and adaptive learning in spatial evolutionary games: A robust agent-based model for cooperation dynamics.

Bio Systems·2026
Same journal

Coherent Photonic Biofields: Revisiting Fritz-Albert Popp's Hypothesis.

Bio Systems·2026
Same journal

Ruliological Resilience: Pattern Restoration and Robustness in Wolfram Patterns. A Basis for Regeneration, Not Just in Cone Shells?

Bio Systems·2026
Same journal

The quantum-to-classical transducer: A thermodynamic and quantum mechanical framework for the emergence of bioenergetics.

Bio Systems·2026
查看所有相关文章

相关实验视频

Updated: May 13, 2026

Real Time Analysis of Metabolic Profile in Ex Vivo Mouse Intestinal Crypt Organoid Cultures
08:53

Real Time Analysis of Metabolic Profile in Ex Vivo Mouse Intestinal Crypt Organoid Cultures

Published on: November 3, 2014

16.2K

全细胞代谢控制分析分析

Frank J Bruggeman1, Maaike Remeijer1, Maarten Droste2

  • 1Systems Biology Lab, A-LIFE, AIMMS, VU University, Amsterdam, Netherlands.

Bio Systems
|November 4, 2024
PubMed
概括
此摘要是机器生成的。

代谢控制分析 (MCA) 现在包括全细胞代谢和进化生长率最大化. 这种方法预测了流量控制系数,并揭示了基本流量模式 (EFM) 作为最佳网络,其数量受到增长限制蛋白质度的限制.

关键词:
基本的流量模式.酶动力学 酶动力学代谢控制分析的分析全细胞模型的全细胞模型.

更多相关视频

Analysis of Hematopoietic Stem Progenitor Cell Metabolism
12:20

Analysis of Hematopoietic Stem Progenitor Cell Metabolism

Published on: November 9, 2019

6.8K
Using Real-Time Cell Metabolic Flux Analyzer to Monitor Osteoblast Bioenergetics
09:43

Using Real-Time Cell Metabolic Flux Analyzer to Monitor Osteoblast Bioenergetics

Published on: March 1, 2022

3.2K

相关实验视频

Last Updated: May 13, 2026

Real Time Analysis of Metabolic Profile in Ex Vivo Mouse Intestinal Crypt Organoid Cultures
08:53

Real Time Analysis of Metabolic Profile in Ex Vivo Mouse Intestinal Crypt Organoid Cultures

Published on: November 3, 2014

16.2K
Analysis of Hematopoietic Stem Progenitor Cell Metabolism
12:20

Analysis of Hematopoietic Stem Progenitor Cell Metabolism

Published on: November 9, 2019

6.8K
Using Real-Time Cell Metabolic Flux Analyzer to Monitor Osteoblast Bioenergetics
09:43

Using Real-Time Cell Metabolic Flux Analyzer to Monitor Osteoblast Bioenergetics

Published on: March 1, 2022

3.2K

科学领域:

  • 系统生物学 系统生物学
  • 代谢工程是代谢工程.
  • 进化生物学 进化生物学

背景情况:

  • 代谢控制分析 (MCA) 传统上侧重于酶活性.
  • 了解细胞代谢需要从整个细胞和进化角度来看.
  • 优化蛋白质度以最大限度地提高生长速度是一个关键的进化驱动因素.

研究的目的:

  • 将MCA扩展到整个细胞环境中,考虑进化生长率最大化.
  • 预测流量控制系数使用蛋白质组学和石化计建模.
  • 研究在最佳细胞状态下基本流量模式 (EFM) 的出现和控制特性.

主要方法:

  • 整合蛋白质组学数据和石化模拟.
  • 由于资源竞争,将蛋白质度视为相互依赖.
  • 在进化优化框架内分析基本流量模式 (EFM).

主要成果:

  • 基本流量模式 (EFM) 自然而然地成为最佳代谢网络.
  • 表达的EFM的数量取决于限制生长的蛋白质度限制.
  • 通过表达与生长无关的蛋白质来修改MCA结果.
  • 流量控制系数可以从蛋白质组学和核糖体分析数据中估计.

结论:

  • MCA 扩展到以进化最佳状态运行的 EFM.
  • 蛋白质组学数据提供了对新陈代谢酶对生长速度控制的全细胞视图.
  • 这个框架可以识别跨物种细胞代谢的保存,一般原则.