本文選題：重性抑郁障礙 + 長鏈非編碼RNA　； 參考：《山西醫(yī)科大學》2013年碩士論文

【摘要】：目的 1.建立重性抑郁障礙外周血白細胞中差異LncRNA/mRNA共表達網(wǎng)絡； 2.應用生物學與信息學手段，篩選抑郁障礙差異表達的LncRNA并進行初步分析。 方法 采用病例-對照研究，嚴格按照入排標準，收集病例組和對照組各10例，控制性別、年齡等因素后，對病例組和對照組進行一一配對，采用DSM--IV軸I障礙定式臨床檢查（SCID-I/P)對重性抑郁障礙患者進行篩查診斷，應用漢密爾頓抑郁量表(HAMD)進行臨床癥狀的評定,要求病例組符合HAMD21分（17項）或35分（24項）。提取外周血總RNA，應用微陣列技術(shù)使用Arrystar公司LncRNA芯片（可同時檢測LncRNA/mRNA），檢測外周血白細胞中的LncRNA、mRNA并進行聚類分析,比較病例組和對照組LncRNA差異表達的情況，并建立LncRNA/mRNA的共表達網(wǎng)絡；其次，查閱文獻報道抑郁障礙密切相關(guān)的mRNA以及上述方法檢測出的差異表達mRNA，結(jié)合芯片篩選出的LncRNA，按照特定基因表達標準化信號強度，篩選出差異表達中起核心調(diào)控作用的LncRNA。使用NimbleScan software (version2.5）對原始數(shù)據(jù)進行預處理后，采用SPSS17.0軟件包進行統(tǒng)計分析，在實驗組、對照組先控制性別年齡，采用隨機方差模型（Random variance model，RVM）校正后進行兩分類差異基因篩選(Two classification difference genetic screening，TwoclassDif），采用t檢驗方法，得到顯著差異表達的mRNA和LncRNA；對篩選到的差異mRNA和LncRNA進行共表達（co-expression）分析，以P0.05為差異有統(tǒng)計學意義，篩選出在共表達網(wǎng)絡中起核心調(diào)控作用的LncRNA，并對其進行初步分析。 結(jié)果 1.重性抑郁障礙患者外周血白細胞長鏈非編碼RNA與對照組相比，差別具有統(tǒng)計學意義（P＜0.05），共篩選出2795條差異表達mRNAs；960條差異表達的LncRNAs，其中729條表達上調(diào)、231條表達下調(diào)，據(jù)此構(gòu)建重性抑郁障礙外周血白細胞中差異LncRNA/mRNA共表達網(wǎng)絡。 2.重性抑郁障礙患者外周血白細胞中chr1:29493450-29493605chr1:76255317-76255564chr3:47048304-47048512chr5:134693047-134693150chr10:27802593-27802714chr10:103554357-103554675chr11:64534866-64535009chr14:21698593-21698781chrX:108927695-108927824chr20:25670953-25671104chr13113570824-113570935等11條LncRNA的表達，，差別具有統(tǒng)計學意義（P＜0.05）。 結(jié)論 1.重性抑郁障礙患者外周血LncRNA存在差異表達； 2.11條差異表達的LncRNA可能與抑郁障礙相關(guān)。
[Abstract]:Purpose 1. To establish the differential LncRNA/mRNA coexpression network in peripheral blood leukocytes of patients with severe depressive disorder. 2. LncRNA differentially expressed in depressive disorder was screened and analyzed by biological and informatics methods. Method A case-control study was used to collect 10 cases each from the case group and the control group in strict accordance with the admission criteria. After controlling for gender and age, the case group and the control group were matched one by one. SCID-I / P) was used to screen and diagnose the patients with severe depressive disorder, and the clinical symptoms were evaluated by Hamilton Depression scale (Hamd). The patients were required to meet the HAMD21 score of 17 items or 35 points to 24 items. Total RNAs in peripheral blood were extracted, and microarray technique was used to detect LncRNA-mRNA-mRNAs (LncRNA-mRNA-mRNAs) in peripheral blood leukocytes, and cluster analysis was carried out to compare the differential expression of LncRNA between the case group and the control group, and to establish the coexpression network of LncRNA/mRNA. Secondly, the mRNA closely related to depression disorder and the differential expression mRNAs detected by the above methods were reviewed. Combined with the LncRNAs screened by the microarray, the LncRNAs which played a central role in the differential expression were screened according to the standardized signal intensity of the specific gene expression. NimbleScan software version 2.5) was used to preprocess the original data, and SPSS17.0 software package was used for statistical analysis. In the experimental group and the control group, the sex and age were controlled first. Random variance model (RVM) was used to screen two classification difference genetic screening genes for two class difons. T test was used to obtain mRNA and LncRNAs that were significantly differentially expressed, and coexpression of mRNA and LncRNA were analyzed. The LncRNAs which play a central role in the coexpression network were screened and analyzed. Result 1. Compared with the control group, the long chain non-coding RNA of peripheral blood leukocytes in patients with severe depressive disorder showed significant difference (P < 0.05). A total of 2795 LncRNASs expressing mRNAs-960 differentially expressed LncRNASS were screened out, and 729 of them up-regulated the expression of mRNAs-960, and down-regulated the expression of LncRNASs. Based on this, the differential LncRNA/mRNA coexpression network in peripheral blood leukocytes of patients with severe depressive disorder was constructed. 2. 閲嶆

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