本文選題：H1N1流感病毒　切入點：生物信息學(xué)　出處：《吉林大學(xué)》2010年碩士論文

【摘要】： 流感病毒是一種造成人類、哺乳動物及鳥類患流行性感冒的RNA病毒,其傳染性強、傳播速度快,可引起急性呼吸道感染及多種并發(fā)癥,嚴(yán)重威脅人類健康。通過生物信息學(xué)方法研究H1N1流感病毒致病及傳播特性,有助于在基因水平上預(yù)防和治療此類疾病。 本研究以H1N1流感病毒的HA、NA、NP、PA、PB2基因片段和人編碼的microRNA為研究對象,選取2007年H1N1流感病毒20株、2008年H1N1流感病毒20株、2009年H1N1流感病毒20株、以及人編碼的microRNA904條,結(jié)合序列比對和設(shè)計的microRNA篩選算法,預(yù)測人編碼的調(diào)控H1N1流感病毒的microRNA,并將預(yù)測出的microRNA用于H1N1流感病毒的靶基因預(yù)測。通過靶基因預(yù)測結(jié)果的變化規(guī)律分析H1N1流感病毒的致病及傳播特性。 本論文分為六個部分:第一部分,為緒論,簡要介紹了本文的選題背景及研究的主要工作;第二部分,從理論上介紹了H1N1流感病毒的研究現(xiàn)狀、生物信息學(xué)概況以及用生物信息學(xué)研究H1N1流感病毒的主要方法;第三部分,詳細(xì)介紹了microRNA及其靶基因的研究方法;第四部分,詳細(xì)敘述了人編碼的調(diào)控H1N1流感病毒的microRNA預(yù)測方法;第五部分,通過預(yù)測出的調(diào)控H1N1流感病毒的microRNA,進一步預(yù)測其在H1N1流感病毒的靶基因;第六部分,論文的結(jié)果分析與展望,對研究過程中可能存在的問題和有待進一步研究的內(nèi)容做了簡要說明。 本研究說明,人編碼的microRNA對于H1N1流感病毒具有調(diào)控能力。預(yù)測出的每條microRNA只作用于流感病毒的一個基因片段,且大部分microRNA只作用于H1N1流感病毒的同一個靶基因,也有少數(shù)microRNA作用于流感病毒一個基因片段的多個靶基因。人編碼的microRNA對病毒調(diào)控能力的變化可能導(dǎo)致H1N1流感病毒致病及傳播特性的變化。
[Abstract]:Influenza virus is a kind of RNA virus that causes influenza in humans, mammals and birds. It is highly contagious and spreads quickly. It can cause acute respiratory infection and many complications. The study on the pathogenicity and transmission of H1N1 influenza virus by bioinformatics is helpful to the prevention and treatment of this disease at the gene level. In this study, we selected 20 strains of H1N1 influenza virus in 2007, 20 strains of H1N1 virus in 2008, 20 strains of H1N1 influenza virus in 2009, and 20 human encoded microRNA904 fragments of H1N1 influenza virus. Combined with sequence alignment and designed microRNA filtering algorithm, The predicted microRNA was used to predict the target gene of H1N1 influenza virus. The variation of target gene prediction results were used to analyze the pathogenicity and transmission characteristics of H1N1 influenza virus. This thesis is divided into six parts: the first part, as the introduction, briefly introduces the background of the topic and the main research work, the second part, introduces the current research situation of H1N1 influenza virus in theory. The general situation of bioinformatics and the main methods of using bioinformatics to study H1N1 influenza virus. The third part introduces the research methods of microRNA and its target genes in detail. In this paper, the prediction method of microRNA coding for regulating H1N1 influenza virus is described in detail; in the fifth part, the target genes of H1N1 influenza virus are further predicted by the predicted microRNAs to regulate H1N1 influenza virus; in the sixth part, the results of the paper are analyzed and prospected. The possible problems in the research process and the contents to be further studied are briefly explained. This study shows that the human encoded microRNA has the ability to regulate the H1N1 influenza virus. Each predicted microRNA acts on only one fragment of the influenza virus, and most of the microRNA only acts on the same target gene of the H1N1 influenza virus. There are also a few microRNA acting on multiple target genes of a single gene fragment of the influenza virus. The changes in the regulatory ability of the human encoded microRNA to the virus may lead to changes in the pathogenicity and transmission characteristics of the H1N1 influenza virus.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2010
【分類號】：R373

【參考文獻】

相關(guān)期刊論文 前10條

1 趙東宇;王巖;羅迪;周春光;梁艷春;;生物信息學(xué)中的MicroRNA預(yù)測研究[J];吉林大學(xué)學(xué)報(信息科學(xué)版);2008年03期

2 ;Computational Identification of Novel Family Members of MicroRNA Genes in Arabidopsis thaliana and Oryza sativa[J];Acta Biochimica et Biophysica Sinica;2005年02期

3 陳潤生;生物信息學(xué)[J];生物物理學(xué)報;1999年01期

4 黃一偉;張紅;劉運芝;黃凰;夏昕;;2009年甲型H1N1流感研究進展[J];實用預(yù)防醫(yī)學(xué);2009年06期

5 王玫;李思光;羅玉萍;;microRNA識別和鑒定方法[J];細(xì)胞生物學(xué)雜志;2007年04期

6 呂德康;葛瑛;柏錫;李勇;朱延明;;生物信息學(xué)在植物miRNA研究中的應(yīng)用[J];生物信息學(xué);2009年02期

7 董志珍,姚登福;流感病毒致病機制的研究進展[J];現(xiàn)代醫(yī)藥衛(wèi)生;2003年04期

8 許德暉;黃辰;劉利英;宋土生;;高效siRNA設(shè)計的研究進展[J];遺傳;2006年11期

9 侯妍妍;應(yīng)曉敏;李伍舉;;microRNA計算發(fā)現(xiàn)方法的研究進展[J];遺傳;2008年06期

10 陳潤生;;生物信息學(xué)及其研究進展[J];醫(yī)學(xué)研究通訊;2002年12期

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