• Jeyabaskar Suganya
• Mahendran Radha
• Sharanya M
• Hemamalini

Tuberculosis (TB) is a chronic infectious disease that is transmitted by cough-propelled droplets that carry the etiologic bacterium, Mycobacterium tuberculosis. The capreomycin is a polypeptide antibiotic used as the second-line standard drug for tuberculosis. In recent years, prescription of the drug increased in clinical sides but the therapeutic efficiency of the drug is decreased gradually. The drug-resistant can occurs when genes of Mycobacterium tuberculosis become resistant to the prescribed drugs which are used to treat TB and now these drugs will longer inhibit the gene function of the Mycobacterium tuberculosis. To understand the reason behind the TB resistance towards drug capreomycin, an in silico research were carried out. The GEO (Gene Expression Omnibus) is a public repository that archives the high-throughput gene expression data originated from scientific experiments. The GEO2R, a Bioinformatics tool to compare two or more set of sample in a GEO Datasets, in order the identify genes which exhibit the drug resistance activity towards drug. In the current study the tuberculosis micro-array datasets with the standard drug Capreomycin were analyzed using in silico analysis. The database predicted the genes which showed the down-regulations towards the standard drug. The result of the current study revealed that the genes which is responsible for the drug resistance activity towards the drug capreomycin. This study might provide novel clues in designing of anti-TBdrug which inhibits the function of the above genes..

: Tuberculosis, Capreomycin, GEO Datasets, GEO2R.

"AN INSILICO ANALYSIS OF DIFFERENTIAL GENE EXPRESSION IN TUBERCULOSIS MICROARRAY DATASET", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.106-110, May-2019, Available :http://www.jetir.org/papers/JETIRBK06019.pdf

"AN INSILICO ANALYSIS OF DIFFERENTIAL GENE EXPRESSION IN TUBERCULOSIS MICROARRAY DATASET", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp106-110, May-2019, Available at : http://www.jetir.org/papers/JETIRBK06019.pdf