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Title

 

 

 

 

Comparative microarray data analysis for the expression of genes in the pathway of glioma

 

Authors

Pramod Katara*, Neeru Sharma, Sugandha Sharma, Indu Khatri, Akansha Kaushik, Lalima Kaushal, Vinay sharma

Affiliation

 Department of Bioscience & Biotechnology; Banasthali University, Bansthali 304022, India

Email

pmkatara@gmail.com; * Corresponding author

 

Article Type

Hypothesis

 

Date

received April 04, 2010; accepted June 08, 2010, published June 24, 2010

 

Abstract

Our present work focuses on the set of genes, which are involved in primary brain tumors – the glioma pathway. These gliomas are mostly malignant (cancerous) in nature and are difficult to be cured and that’s why they attract the attention of all the workers. To understand the relative functionality of these genes, we analyzed the expression pattern of all genes, using gene expression data, at genomic level, and then to check their universality in all other cancers, we compared their expression levels and patterns in all other types of cancers by using gene expression graphs, and observed their expression levels in all these cancers, whether they are over or under expressed. We found that every gene has its own unique expression pattern and level and on that basis it can be classified. We also found that oncogenes and tumor suppressor genes that were involved in the glioma pathway were showing similar expression patterns in other cancers too but their expression level is low.

 

Keywords

 

cancer, co-expression, gene expression pattern, glioma pathway.

Citation

Kataraet al. Bioinformation 5(1): 31-34 (2010)

Edited by

P. Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.