TCF3-PBX1陽性急性淋巴細(xì)胞白血病相關(guān)基因的篩選及生物信息學(xué)分析
發(fā)布時(shí)間:2018-03-09 08:41
本文選題:急性淋巴細(xì)胞白血病 切入點(diǎn):TCF-PBX 出處:《重慶醫(yī)學(xué)》2017年03期 論文類型:期刊論文
【摘要】:目的研究比較TCF3-PBX1陽性和陰性急性淋巴細(xì)胞白血病基因表達(dá)的差異,并尋找在特定類型白血病的發(fā)生、發(fā)展過程中起重要作用的基因,為臨床診療提供新思路。方法在公共基因芯片數(shù)據(jù)庫GEO中下載GSE11877數(shù)據(jù)集,利用R編程語言,應(yīng)用貝葉斯檢驗(yàn)和倍比法(fold change)篩選差異表達(dá)基因(校正P0.05,并且log2(fold change)2)。利用DAVID數(shù)據(jù)庫進(jìn)行生物學(xué)過程功能富集分析。結(jié)果共獲得207個(gè)數(shù)據(jù)集,其中TCF3-PBX1陽性組23個(gè),陰性組184個(gè),最終匯總獲取2 890個(gè)基因的表達(dá)水平,其中27個(gè)符合條件的差異基因被選出,這些基因的功能大致分為細(xì)胞骨架結(jié)構(gòu)、細(xì)胞信號(hào)轉(zhuǎn)導(dǎo)、轉(zhuǎn)錄調(diào)控、細(xì)胞黏附、細(xì)胞凋亡等。功能富集分析顯示BANK1、GAB1、ZAP70等8個(gè)基因在TCF3-PBX1陽性白血病發(fā)生、發(fā)展過程中可能起到關(guān)鍵作用。結(jié)論利用生物信息學(xué)方法能有效分析基因芯片數(shù)據(jù)并獲取生物內(nèi)在信息,TCF3-PBX1陽性白血病的發(fā)生是由于多種基因表達(dá)改變所致,為確定其早期診斷標(biāo)志與新治療靶位提供了新的思路。
[Abstract]:Objective to study the difference between TCF3-PBX1 positive and negative gene expression in acute lymphoblastic leukemia, and to look at the specific types of leukemia, plays an important role in the gene in the process of development, to provide new ideas for clinical diagnosis and treatment. Methods in public microarray database GEO download GSE11877 data set, using the R programming language, the application of Bayesian test and ratio (fold change) method for screening differentially expressed genes (P0.05 and log2 correction (fold, change) 2). The biological process enrichment analysis using DAVID database. The results of 207 data sets were obtained, including 23 TCF3-PBX1 positive group and negative group 184, the final summary of the expression level of 2890 genes obtained, among them 27 different genes were chosen in line with the conditions, the function of these genes can be divided into cytoskeletal structure, cell signal transduction, transcriptional regulation, cell adhesion, apoptosis and other work. Enrichment analysis showed that BANK1, GAB1, ZAP70 and other 8 genes in TCF3-PBX1 positive leukemia, may play a key role in the process of development. Conclusion using the bioinformatics analysis of microarray data can effectively and obtain the inner information of biological methods, TCF3-PBX1 positive leukemia is due to a variety of gene expression change, provides a new way of thinking in order to determine the early biomarkers and new therapeutic targets.
【作者單位】: 南昌大學(xué)第二附屬醫(yī)院血液內(nèi)科;南昌大學(xué)血液重點(diǎn)實(shí)驗(yàn)室;南昌大學(xué)研究生院醫(yī)學(xué)部;
【基金】:江西省科技支撐計(jì)劃項(xiàng)目(20151BBG70169) 江西省衛(wèi)生計(jì)生委科技計(jì)劃(20155331)
【分類號(hào)】:R733.71
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