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

Pulmonary Tuberculosis IV01:26

Pulmonary Tuberculosis IV

209
Tuberculosis, more commonly referred to as TB, is an infectious disease stemming from Mycobacterium tuberculosis. While it primarily impacts the lungs, TB can also affect other body areas. Given its severity and global impact, timely and accurate diagnosis is crucial for controlling its spread and improving patient outcomes.
Several diagnostic approaches are used to detect TB. The conventional method is the Tuberculin Skin Test (TST), also known as the Mantoux test. However, this method has...
209
Pulmonary Tuberculosis III01:31

Pulmonary Tuberculosis III

458
Tuberculosis (TB) is a contagious infection primarily affecting the lung parenchyma but which can also affect other body parts. TB can be classified based on disease development, presentation, and the affected anatomical site.
The first classification is based on the development of the disease, and it includes the following categories:
458
Pulmonary Tuberculosis II01:28

Pulmonary Tuberculosis II

387
Tuberculosis, or TB, is a bacterial infectious disease caused by Mycobacterium tuberculosis. While its primary impact is on the lungs, leading to pulmonary tuberculosis, it can also affect various other organs, a condition referred to as extrapulmonary tuberculosis.
Here is a detailed explanation of its pathophysiology:
Transmission: The process begins when a person inhales droplet nuclei containing M. tuberculosis. These are typically released into the air when an individual with pulmonary or...
387
Pulmonary Tuberculosis V01:28

Pulmonary Tuberculosis V

249
Medical management of tuberculosis (TB) patients involves a comprehensive approach that includes diagnosis, treatment, and monitoring. The specific strategies can vary depending on the type of tuberculosis (latent or active), the patient's overall health status, and other considerations.
Latent tuberculosis infection occurs when TB bacteria are present in a person's body, but are not causing illness or symptoms. It is not contagious, and preventive treatment is crucial to avoid the...
249
Pulmonary Tuberculosis I01:29

Pulmonary Tuberculosis I

335
Tuberculosis, often called TB, is a contagious illness primarily caused by Mycobacterium tuberculosis. It mainly affects the lung parenchyma but can also impact other body parts.
Causative Organism
The primary infectious agent causing tuberculosis is Mycobacterium tuberculosis, a slow-growing, acid-fast, aerobic rod that exhibits sensitivity to heat and ultraviolet light. Instances of Mycobacterium bovis and Mycobacterium avium contributing to the development of TB infection are rare.
Mode of...
335

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

Clinical and Evolutionary Aspects of CDKL5-Related Developmental Epileptic Encephalopathy: A Case Report.

Cureus·2026
Same author

Common cutaneous signs unmasking a severe hematological disorder: GATA2 deficiency.

Dermatology online journal·2026
Same author

SeqExpressionAnalyser: An R Package for Automated End-to-End RNA-Seq Analysis From Reads to Differential Expression.

Bioinformatics and biology insights·2026
Same author

Optimizing gene selection and module identification via ontology-based scoring and deep learning.

Bioinformatics advances·2025
Same author

Adoption of an in-silico analysis approach to assess the functional and structural impacts of rpoB-encoded protein mutations on Chlamydia pneumoniae sensitivity to antibiotics.

BMC microbiology·2025
Same author

Cytogenetic abnormalities correlate with clinico-biological characteristics in 30 Moroccan multiple myeloma patients.

Leukemia research reports·2023

相关实验视频

Updated: Sep 18, 2025

A Novel Microdissection Approach to Recovering Mycobacterium tuberculosis Specific Transcripts from Formalin Fixed Paraffin Embedded Lung Granulomas
07:42

A Novel Microdissection Approach to Recovering Mycobacterium tuberculosis Specific Transcripts from Formalin Fixed Paraffin Embedded Lung Granulomas

Published on: June 5, 2014

8.1K

用机器学习方法识别基因表达生物标志物,预测潜伏结核病感染.

Youssra Boumait1, Boutaina Ettetuani2, Manal Chrairi1

  • 1Biology Molecular Unit, Life and Health Sciences Laboratory, Faculty of Medicine and Pharmacy, Abdelmalek Essaâdi University, Tangier 93000, Morocco.

Genes
|June 26, 2025
PubMed
概括

这项研究使用生物信息学和机器学习确定了潜在结核病感染 (LTBi) 的新型基因表达生物标志物. CCL2和CXCL10显示出改善LTBi检测的希望.

关键词:
生物信息学是一种生物信息学.生物标志物 生物标志物基因表达的基因表达方式潜伏的结核病感染.机器学习是机器学习.文字转录 字体转录 字体转录

更多相关视频

A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection
10:10

A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection

Published on: October 5, 2015

19.1K
A Tuberculosis Molecular Bacterial Load Assay TB-MBLA
10:41

A Tuberculosis Molecular Bacterial Load Assay TB-MBLA

Published on: April 30, 2020

14.2K

相关实验视频

Last Updated: Sep 18, 2025

A Novel Microdissection Approach to Recovering Mycobacterium tuberculosis Specific Transcripts from Formalin Fixed Paraffin Embedded Lung Granulomas
07:42

A Novel Microdissection Approach to Recovering Mycobacterium tuberculosis Specific Transcripts from Formalin Fixed Paraffin Embedded Lung Granulomas

Published on: June 5, 2014

8.1K
A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection
10:10

A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection

Published on: October 5, 2015

19.1K
A Tuberculosis Molecular Bacterial Load Assay TB-MBLA
10:41

A Tuberculosis Molecular Bacterial Load Assay TB-MBLA

Published on: April 30, 2020

14.2K

科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 免疫学 免疫学 免疫学

背景情况:

  • 潜伏性结核病感染 (LTBi) 影响全球人口的很大一部分.
  • 目前对LTBi的诊断工具存在敏感性和特异性的限制.
  • 需要更准确,更可靠的LTBi诊断方法.

研究的目的:

  • 确定潜在结核病感染 (LTBi) 的强大的基因表达生物标志物.
  • 利用综合生物信息学框架和机器学习来发现生物标志物.
  • 提高LTBi检测的准确性和效率.

主要方法:

  • 从外围血液单核细胞 (PBMC) 收集的四个公共转录组数据集的分析.
  • 鉴定差异表达基因 (DEGs) 和基因本体学 (GO) 丰富的应用.
  • 利用机器学习,miRNA相互作用分析,语义相似性和ROC曲线分析来确定生物标志物的优先级.

主要成果:

  • 确定了关键候选生物标志物CCL2和CXCL10,具有高诊断潜力 (AUC>0.85).
  • 证明了综合生物信息学方法在发现LTBi相关基因方面的有效性.
  • 通过多步骤分析精制基因列表,包括功能聚类和通路丰富.

结论:

  • 该研究强调了将转录组数据与机器学习相结合,用于新型LTBi生物标志物发现的潜力.
  • 候选生物标志物CCL2和CXCL10需要进一步的实验验证,以获得临床应用.
  • 这种方法为开发潜在结核病感染的改进诊断策略提供了基础.