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Gene Expression Analysis of Leukemia Microarray Data By DAVID Program
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H Zali *   1, R Amini , R Shiri haris |
| 1- , Hakimehzali@yahoo.com |
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Abstract: (19750 Views) |
| Introduction: Leukemia is a progressive and malignant disease of hematopoietic organs of the body. Genetic abnormalities play an important role in the development of leukemia in the body. Many studies have been accomplished on the molecular factors that involved in the disease. DNA micro-array technology provides a general picture of gene expression in whole genome and applied for the exploring of candidate genes that lead to diseases. In fact, having analy-zed a large number of genes together along with the expected changes provides more closely examination the disease under stu-dy. In the present study, the DNA micro-array data of leukemia disease were analy-zed by bioinformatics software (DAVID). The aim of the study was to functionally analyze the genomic and proteomic lists of data that have been obtained with high-throughput tools during biological studies.
Materials & Methods: Microarray leuke-mia gene sets were obtained from the data-base http://www.biomedcentral.com/ cont-ent/supplementary/1471 and analyzed with the bioinformatics software (DAVID). The communication gene expression in different classes, chart and clustered genes were examined. The list of genes was identified by the DAVID analysis program.
Findings: A chart consisting of 615 ident-ified genes associated with various diseases was detected. Most genes involved in the disease were those genes that were also involved in cancers. 23.7% of the identified genes (146 genes) were cancer genes. Of 615 genes, 70 charts of the identified biolo-gical pathways (the database KEGG) were associated with the disease. Of 615 genes identified, 12 clusters were associated with the disease based on the functional annot-ation.
Discussion & Conclusion: The results sho-wed that the program, DAVID, is capable of analyzing genome. Also, the program was capable to evaluate the main classes of genes and pathways involved in the disease to determine the best candidate gene mark-ers for the diagnosis and treatment of leuk-emia disease. |
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| Keywords: microarray, leukemia, program DAVID, gene expression |
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Full-Text [PDF 682 kb]
(4168 Downloads)
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Type of Study: Research |
Subject:
Microbiology
Received: 2013/07/31 | Accepted: 2013/08/6 | Published: 2013/09/1
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