In Silico Mining of RAS Gene Family Expression Data in Human Thyroid Cancer

Gene expression analysis has become known as the most powerful predictor in mining the diseased genes. It includes various experimental and in silico techniques for the evaluation of gene expression level. The recent molecular analysis of papillary thyroid carcinoma revealed the presence of high frequency of BRAF mutation whereas the RAS gene family mutation accounts for comparatively lower frequencies. The RAS family comprises of almost 35 members which are mostly confined to the plasma membrane. In this paper the main focus will be on the major subtypes of thyroid carcinoma and RAS gene family, therefore the combined high throughput serial analysis of RAS gene family members has been employed to assess the gene expression status in thyroid carcinoma.