相关实验视频

Updated: Jan 26, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

10.2K

基因组流行病学和Bordetella pertussis的进化动态:中国和全球菌株 (2018-2024) 的比较研究 (2018-2024)

Jianguang Cai1, Yanwei Zhang2, Shuang Wu2

  • 1School of Public Health, Southern Medical University, 510515, China; Shenzhen Center for Disease Control and Prevention, 518000, China.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
|January 24, 2026
PubMed
概括

自2018年以来,抗宏胺的Bordetella pertussis (MRBP) MT28系在中国主导了 pertussis,原因是局部抗宏胺的抵抗. 这种演变需要更新抗生素管理和疫苗接种策略.

关键词:
百日咳 Bordetella 百日咳是一种疾病.中国中国中国中国.进化的动态 进化的动态基因组流行病学基因组流行病学宏类耐药性 宏类耐药性 宏类耐药性进行全基因组测序.

更多相关视频

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.22:27

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

411.7K
Measuring Near Plasma Membrane and Global Intracellular Calcium Dynamics in Astrocytes12:48

Measuring Near Plasma Membrane and Global Intracellular Calcium Dynamics in Astrocytes

Published on: April 26, 2009

13.5K

相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.9K
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
15.6K
What is Evolutionary History?02:35

What is Evolutionary History?

Scientists record evolutionary history by analyzing fossil, morphological, and genetic data. The fossil record documents the history of life on Earth and provides evidence for evolution. However, both fossil and living organisms offer evidence that outlines Earth’s evolutionary history.
43.0K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
933
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
629
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.3K