腦脊液病原體檢測(cè)芯片技術(shù)平臺(tái)的建立及其應(yīng)用
[Abstract]:At present, the diagnosis of (CNS) infection in the central nervous system still depends on morphological examination, cerebrospinal fluid pathogen culture and immunological methods, which lack sensitivity, specificity, and time and effort. In particular, it is difficult to detect and diagnose pathogens that are difficult to culture. Because different pathogens have different treatment schemes, timely and accurate diagnosis can make successful treatment, and early treatment can reduce complications and mortality. Therefore, it is very important to establish an early parallel and rapid diagnosis method. Biochip technology, based on molecular biology and bioinformatics, is characterized by its high parallelism, diversity, miniaturization and automation in the typing and identification of pathogens, Many studies have been carried out on the detection of drug resistance and specific antibody, which shows a very broad prospect of application, which makes it possible to establish an early parallel and rapid diagnostic method. Objective: to establish two microarray detection systems based on positively charged nylon membrane and glass slide respectively, including oligonucleotide microarrays for detection of pathogen target genes and antigen microarrays for detection of pathogen antibodies. Methods: 1. Establishment and application of oligonucleotide microarray technology platform for cerebrospinal fluid pathogens (1) the design of oligonucleotide microarray firstly identified the common pathogenic bacteria in cerebrospinal fluid (CSF). The following bacteria were selected for the study: Acinetobacter calcium Acinetobacter Acinetobacter Acinetobacter, Bacteroides fragilis, Bacillus melanocytogenes, Escherichia coli, Enterococcus, Flavobacterium septicum Meningitis, Clostridium Necrosis, Haemophilus Listeria monocytogenes, Mycobacterium tuberculosis, Neisseria meningitidis, Streptococcus digestion, Pasteurella, Proteus, Pseudomonas, Staphylococcus aureus, Staphylococcus epidermidis, No Streptococcus lactobacillus, Salmonella, Streptococcus pneumoniae, etc. Searching for the gene sequence of these bacteria, selecting 16s rRNA gene as the target gene to be studied, downloading and retrieving all 16s rRNA gene sequences of these bacteria. After comparative analysis, the typical sequence of each bacteria is obtained. With the aid of computer software, a pair of universal primers were designed. Through the analysis of network Blast function and computer software, the evolutionary tree of 20 species of bacteria was constructed. Two specific probes were designed for each species of bacteria between upstream and downstream primers.
【學(xué)位授予單位】:山東大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2006
【分類號(hào)】:R346
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
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