Based on 16s sequencing technology for rapid screening of pneumonia in children
收藏NIAID Data Ecosystem2026-05-10 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP659914
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资源简介:
This project leverages the high conservation and variable region specificity of the 16S rRNA gene to collect respiratory samples from children (such as throat swabs, sputum, and alveolar lavage fluid), and through sample pre-treatment, DNA extraction, specific primer amplification, high-throughput sequencing, and bioinformatics analysis, quickly identifies the types and relative abundances of pathogenic microorganisms such as bacteria, mycoplasma, and chlamydia in the samples. The project overcomes the limitations of traditional detection methods and can complete the entire process from sample receipt to the report of the pathogen spectrum within 24-48 hours. It not only can accurately identify common pathogens causing pneumonia (such as Streptococcus pneumoniae, Haemophilus influenzae, and Mycoplasma pneumoniae), but also can efficiently detect rare or uncommon pathogenic microorganisms. At the same time, it avoids the problem of missed detection of obligate anaerobic bacteria by the culture method.At the clinical application level, this project can assist clinical doctors in quickly clarifying the etiological type of children's pneumonia, guiding the rational selection of antibiotics, and reducing the risk of drug resistance caused by empirical medication. At the public health level, it can dynamically monitor the epidemic characteristics and variation trends of the pathogen spectrum of children's pneumonia, providing data support for the prevention and control of regional respiratory infectious diseases in children. In addition, the project optimizes the sequencing and analysis process, reduces the detection cost, and has the potential for large-scale clinical promotion and application in grassroots medical institutions. It has important clinical value and social significance for improving the early diagnosis rate of children's pneumonia and reducing the mortality rate.
创建时间:
2026-01-08



