Microarray technology to investigate genes associated with papillary thyroid carcinoma.
作者： XINYONG ZHU , JING YAO , WEN TIAN
关键词: Gene expression profiling 、 Gene regulatory network 、 Computational biology 、 Cancer research 、 Gene 、 Regulator gene 、 Thyroid cancer 、 Regulation of gene expression 、 Gene chip analysis 、 Biology 、 Thyroid carcinoma
摘要: DNA microarray data on thyroid tissue from patients with papillary carcinoma (PTC) and healthy controls were compared in order to investigate the regulatory genes uncover underlying network PTC. The set, GSE3678, was downloaded Gene Expression Omnibus database. This included seven samples PTC controls. Raw processed differentially expressed (DEGs) identified using corresponding R packages. regulation analysis conducted TRANSFAC® TRED. A total of 171 DEGs obtained. then established, 104 DEGs. Subsequently, pathway enrichment analyses Database for Annotation, Visualization Integrated Discovery (DAVID) online tool. Three transcription factors identified: Trefoil factor 3, cut‑like homeobox 2 forkhead box protein A2. most significant pathways involving involved cancer. Biological process DAVID, suggested that these associated positive gene expression, metabolic processes. present study a range development results beneficial understanding mechanisms PTC, developing clinical diagnostic therapeutic approaches this disease.
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