胃癌geo芯片分析報告

1、一、GSE26851、數(shù)據(jù)下載從NCBIGEO公共數(shù)據(jù)庫下載GSE2685的SeriesMatrixFile數(shù)據(jù)文件，包含22個胃癌樣本，8個健康樣本。2、差異表達(dá)使用limmaR包計算正常組織和胃癌組織的差異表達(dá)情況(|logFC|1&P0.05)，共找到628個滿足條件的差異基因(保存在26851diffdiff.xls)。其中350個基因上調(diào)(保存在26851diffdiffUp.xlsx)，278個基因下調(diào)(保存在26851di

2、ffdiffDown.xlsx)。表1差異基因表格前十個基因genelogFCAveExprtP.ValueATP4A4.4802162287.63550850518.343756272.73E18ATP4B7.0887280785.27553694515.289913114.65E16GIF8.7665525454.68609093613.700988839.31E15RNASE12.4806678057.94140873911.04

3、3916672.55E12CAMK2G1.6026405225.4592837878.7991055125.77E10GNAT12.3751025935.7169397728.5713213861.04E09STIP12.2400758128.0231875688.5418442861.12E09MYLPF1.3462774046.2171756738.412107491.57E09TIGR1.3790940666.1425685218

4、.2857931062.18E09SLC9A11.3837490928.8619088268.1597687313.04E09注：Gene基因symbollogFClog(差異倍數(shù))AveExpr平均表達(dá)值t檢驗(yàn)值P.Value統(tǒng)計P值4、差異基因GO分析使用DAVID對差異基因進(jìn)行GO功能富集分析，PValue0.05被作為篩選條件。我們共找到22個相關(guān)的GO，富集的表格如表2(26852GOGO.xlsx)，圖形如圖3(26853G

5、OGO.tiff)。表2差異基因GO富集結(jié)果TermCountPValueGO:0005615~extracellularspace1091.05E20GO:0070062~extracellularexosome1724.92E20GO:0030574~collagencatabolicprocess181.62E11GO:0005576~extracellularregion964.75E10GO:0042493~responset

6、odrug341.89E09GO:0005515~proteinbinding3471.56E08GO:0022617~extracellularmatrixdisassembly151.57E07GO:0030198~extracellularmatrixganization235.44E07GO:0031012~extracellularmatrix285.58E07GO:0016324~apicalplasmamembrane27