Jove
Visualize
联系我们

相关概念视频

Development of Antibiotic Resistance01:30

Development of Antibiotic Resistance

36
Antibiotic resistance is a major public health concern that arises when bacteria evolve mechanisms to withstand the effects of antibiotic treatments. This resistance can be intrinsic, acquired through genetic mutations, or transferred between bacteria via horizontal gene transfer. The development of antibiotic resistance poses significant challenges in treating bacterial infections and necessitates ongoing research to develop new therapeutic strategies.Intrinsic resistance occurs when bacterial...
36
Antibiotic Selection00:57

Antibiotic Selection

54.7K
Overview
54.7K
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

47
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
47
Antimicrobial Effectiveness01:28

Antimicrobial Effectiveness

43
The effectiveness of antimicrobial agents depends on various factors influencing their ability to eliminate microbial populations. Larger microbial populations require more time for complete eradication, emphasizing the importance of population size analysis when evaluating antimicrobial efficacy.Microbial resistance to antimicrobial agents varies significantly. Highly resilient microorganisms include endospores, gram-negative bacteria, and non-enveloped viruses, while prions are exceptionally...
43
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

152
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
152

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

Frequency-Guided Cross-Modal Interaction for Multimodal Yeast Classification Based on Light-Scattering and Microscopy Images.

Journal of imaging·2026
Same author

Machine Learning-Assisted Classification of Pathogenic Yeasts Using Laser Light Scattering and Conventional Microscopy.

Journal of imaging·2026
Same author

Fitness effects of a demography-dispersal trade-off in expanding<i>Saccharomyces cerevisiae</i>mats.

Physical biology·2024
Same author

Machine learning to identify clinically relevant Candida yeast species.

Medical mycology·2023
Same author

Identification and Elimination of Antifungal Tolerance in <i>Candida auris</i>.

Biomedicines·2023
Same author

Non-genetic resistance facilitates survival while hindering the evolution of drug resistance due to intraspecific competition.

Physical biology·2022
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

相关实验视频

Updated: Jul 17, 2025

Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach
12:32

Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach

Published on: December 14, 2019

14.0K

基于数量系统的抗菌素耐药性演变的预测.

Daniel A Charlebois1,2

  • 1Department of Physics, University of Alberta, Edmonton, AB, T6G-2E1, Canada. dcharleb@ualberta.ca.

NPJ systems biology and applications
|September 7, 2023
PubMed
概括

使用系统生物学,可以预测抗菌素耐药性的演变. 将定量模型与实验数据相结合,为预测微生物进化和对抗耐药性提供了一条道路.

科学领域:

  • 进化生物学是进化的生物学.
  • 微生物学 微生物学
  • 系统生物学 系统生物学

背景情况:

  • 抗菌素耐药性 (AMR) 是一个复杂的,系统层面的挑战,具有重大公共卫生影响.
  • 预测AMR的进化轨迹对于开发有效的治疗策略至关重要.
  • 了解微观进化过程的可预测性和可重复性是预测抗菌耐药性的关键.

研究的目的:

  • 探索预测抗菌素耐药性演变的极限.
  • 量化定义微演变过程的可预测性和可重复性.
  • 讨论在系统生物学框架内预测AMR的机会和挑战.

主要方法:

  • 关于微生物进化和AMR的最新研究的审查和综合.
  • 微观进化的可预测性和可重复性的定量定义.
  • 猜测这些数量在不同的尺度 (时间,生物,复杂性) 上是如何变化的.

主要成果:

  • 抗微生物药物耐药性的演变是一个复杂的现象.
  • 微观进化过程的可预测性和可重复性可以量化定义.
  • 系统生物学方法为理解AMR演变提供了一个框架.

更多相关视频

Author Spotlight: Understanding and Detecting Environmental Antimicrobial Resistance by Combining Culture-Based Techniques and Genomics
06:54

Author Spotlight: Understanding and Detecting Environmental Antimicrobial Resistance by Combining Culture-Based Techniques and Genomics

Published on: July 19, 2024

1.1K
Testing the Role of Multicopy Plasmids in the Evolution of Antibiotic Resistance
09:00

Testing the Role of Multicopy Plasmids in the Evolution of Antibiotic Resistance

Published on: May 2, 2018

11.7K

相关实验视频

Last Updated: Jul 17, 2025

Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach
12:32

Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach

Published on: December 14, 2019

14.0K
Author Spotlight: Understanding and Detecting Environmental Antimicrobial Resistance by Combining Culture-Based Techniques and Genomics
06:54

Author Spotlight: Understanding and Detecting Environmental Antimicrobial Resistance by Combining Culture-Based Techniques and Genomics

Published on: July 19, 2024

1.1K
Testing the Role of Multicopy Plasmids in the Evolution of Antibiotic Resistance
09:00

Testing the Role of Multicopy Plasmids in the Evolution of Antibiotic Resistance

Published on: May 2, 2018

11.7K

结论:

  • 可以预测抗生素耐药性的演变.
  • 系统生物学方法,将定量模型与多尺度实验数据相结合,对于预测AMR至关重要.
  • 这种方法有望促进抗菌素耐药性的治疗.