METHYLATION PROFILING OF TUMOR SUPPRESSOR GENES INVOLVED IN LUNG CANCER
Amajala et al
Journal of Drug Delivery & Therapeutics; 2012, 2(4), 85-89
85
Available online at http://jddtonline.info
RESEARCH ARTICLE
METHYLATION PROFILING OF TUMOR SUPPRESSOR GENES INVOLVED IN LUNG
CANCER
*
Krishna Chaitanya Amajala, Vishwanath A, Kaladhar DSVGK and Bhaskar Reddy I
Department of Bioinformatics & Biochemistry, GITAM Institute of Science, GITAM University,
Visakhapatnam-530045, Andhra Pradesh, India
*Corresponding author’s Mail: chy2ak@gmail.com
Received 27 M ay 2012; Review Completed 03 July 2012; Accepted 11 July 2012, Available online 15 July 2012
ABS TRACT
The causes of cancer are due to mutations of key proteins involved in cell cycle regulation, DNA repair enzymes and in some cases inactivation of tumor suppressor genes leads to the growth of tumors. The expression rates of TSGs vary in different stages of cancer as well in various cases of cancers. The inhibitions of TSGs are due to methylation of the DNA.
In our present study, we found the genes which are methylated in different types of lung cancers and identified the methylation frequencies. Using the pubmeth database, we have identified the total number of genes undergoing methylation in the various lung cancers. From the total number of genes, we have identified the tumor suppressor genes which are in the methylated state leading to the inactivation of expression and promoting the tumor growth. The further focus on tumor suppressor genes which are methylated is necessary to find a novel way to activate them in the cancerous stage. Keywords: DNA M ethylation, Tumor Suppressor Genes, Epigenetics, Lung Cancer, Gene Expression
INTRODUCTION
Cancer is a term used for diseases in which abnormal cells divide without control and are able to invade other tissues.
Cancer cells can spread to other parts of the body through the blood and lymph systems1 . The two main types of genes that are recognized as playing a role in cancer are oncogenes and tumor
Journal of Drug Delivery & Therapeutics; 2012, 2(4), 85-89
85
Available online at http://jddtonline.info
RESEARCH ARTICLE
METHYLATION PROFILING OF TUMOR SUPPRESSOR GENES INVOLVED IN LUNG
CANCER
*
Krishna Chaitanya Amajala, Vishwanath A, Kaladhar DSVGK and Bhaskar Reddy I
Department of Bioinformatics & Biochemistry, GITAM Institute of Science, GITAM University,
Visakhapatnam-530045, Andhra Pradesh, India
*Corresponding author’s Mail: chy2ak@gmail.com
Received 27 M ay 2012; Review Completed 03 July 2012; Accepted 11 July 2012, Available online 15 July 2012
ABS TRACT
The causes of cancer are due to mutations of key proteins involved in cell cycle regulation, DNA repair enzymes and in some cases inactivation of tumor suppressor genes leads to the growth of tumors. The expression rates of TSGs vary in different stages of cancer as well in various cases of cancers. The inhibitions of TSGs are due to methylation of the DNA.
In our present study, we found the genes which are methylated in different types of lung cancers and identified the methylation frequencies. Using the pubmeth database, we have identified the total number of genes undergoing methylation in the various lung cancers. From the total number of genes, we have identified the tumor suppressor genes which are in the methylated state leading to the inactivation of expression and promoting the tumor growth. The further focus on tumor suppressor genes which are methylated is necessary to find a novel way to activate them in the cancerous stage. Keywords: DNA M ethylation, Tumor Suppressor Genes, Epigenetics, Lung Cancer, Gene Expression
INTRODUCTION
Cancer is a term used for diseases in which abnormal cells divide without control and are able to invade other tissues.
Cancer cells can spread to other parts of the body through the blood and lymph systems1 . The two main types of genes that are recognized as playing a role in cancer are oncogenes and tumor
References: suppressor genes involved in various cancers and structural analysis of RASSF1 protein, IJCBPR, 2012, 2(1), 208-212. silent. Hum Genet. 2002, Aug;111(2):115-27. combining text-mining and expert annotation, Nucleic Acids Research, 2008, Vol networks involving diseases and drugs. Nucleic Acids Res., 2010, 38, D355-D360. Human Cancer Cell Lines, Cancer Res; 2006, 66: (5). M arch 1, 2794-2800. Cancer Genomes. Cancer Informatics, 2007, 3, 379–397.