Reconstruction of an Integrated Genome-Scale Co-Expression Network Reveals Key Modules Involved in Lung Adenocarcinoma

摘要: Our goal of this study was to reconstruct a “genome-scale co-expression network” and find important modules in lung adenocarcinoma so that we could identify the genes involved adenocarcinoma. We integrated gene mutation, GWAS, CGH, array-CGH SNP array data order loci genome-scale. Afterwards, on basis identified network reconstructed from data. The named network”. As next step, 23 key were disclosed through clustering. In number have been for first time be implicated by analyzing modules. EGFR, PIK3CA, TAF15, XIAP, VAPB, Appl1, Rab5a, ARF4, CLPTM1L, SP4, ZNF124, LPP, FOXP1, SOX18, MSX2, NFE2L2, SMARCC1, TRA2B, CBX3, PRPF6, ATP6V1C1, MYBBP1A, MACF1, GRM2, TBXA2R, PRKAR2A, PTK2, PGF MYO10 are among belong 1 22. All these genes, being at least one phenomena, namely cell survival, proliferation metastasis, an over-expression pattern similar EGFR. few modules, such as CCNA2 (Cyclin A2), CCNB2 B2), CDK1, CDK5, CDC27, CDCA5, CDCA8, ASPM, BUB1, KIF15, KIF2C, NEK2, NUSAP1, PRC1, SMC4, SYCE2, TFDP1, CDC42 ARHGEF9 present play crucial role cycle progression. addition mentioned there some other (i.e. DLGAP5, BIRC5, PSMD2, Src, TTK, SENP2, DOK2, FUS etc.)