相关实验视频

Updated: Jun 18, 2025

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
11:22

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

27.9K

探索因果关系:从全基因组测序数据库对糖尿病病和肠道微生物群的洞察

Rui Lin1, Rongping Chen2

  • 1The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.

Renal failure
|August 2, 2024
PubMed
概括

这项研究使用了门德尔的随机化来研究肠道微生物群和糖尿病病 (DN) 之间的因果关系. 某些肠道细菌增加了DN风险,而另一些则提供了保护,建议新的查和治疗途径.

关键词:
我们的肠道微生物群.糖尿病性脏病 糖尿病脏病门德尔的随机化是门德尔的随机化进行全基因组测序.

更多相关视频

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice10:37

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice

Published on: May 2, 2025

112
Analysis of Fecal Microbiota Dynamics in Lupus-Prone Mice Using a Simple, Cost-Effective DNA Isolation Method05:28

Analysis of Fecal Microbiota Dynamics in Lupus-Prone Mice Using a Simple, Cost-Effective DNA Isolation Method

Published on: May 2, 2022

2.1K

相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
13.3K