GENE EXPRESSION ANALYSIS OF LEUKEMIA MICROARRAY DATA BY DAVID PROGRAM

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ZALI H.; AMINI R.; SHIRI HARIS R.

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Journal: JOURNAL OF ILAM UNIVERSITY OF MEDICAL SCIENCES Year:2013 | Volume:21 | Issue:2 Page(s): 92-102

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Title

GENE EXPRESSION ANALYSIS OF LEUKEMIA MICROARRAY DATA BY DAVID PROGRAM

Author(s)

ZALI H. | AMINI R. | SHIRI HARIS R. | Issue Writer Certificate

Keywords

MICROARRAYQ2

LEUKEMIAQ2

PROGRAM DAVIDQ2

GENE EXPRESSIONQ1

Abstract

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 MICROARRAY 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 analyzed a large number of genes together along with the expected changes provides more closely examination the disease under study. In the present study, the DNA MICROARRAY data of LEUKEMIA disease were analyzed 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 LEUKEMIA gene sets were obtained from the database http: //www.biomedcentral.com/ content/ supplementary/1471and 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 identified 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 biological pathways (the database KEGG) were associated with the disease. Of 615 genes identified, 12 clusters were associated with the disease based on the functional annotation.Discussion & Conclusion: The results showed 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 markers for the diagnosis and treatment of LEUKEMIA disease.

Cites

A NEW APPROACH FOR DIAGNOSIS OF ACUTE MYELOID AND LYMPHOBLASTIC LEUKEMIA USING GENE EXPRESSION PROFILEAND MACHINE LEARNING TECHNIQUES

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APA: Copy

ZALI, H., AMINI, R., & SHIRI HARIS, R.. (2013). GENE EXPRESSION ANALYSIS OF LEUKEMIA MICROARRAY DATA BY DAVID PROGRAM. JOURNAL OF ILAM UNIVERSITY OF MEDICAL SCIENCES, 21(2), 92-102. SID. https://sid.ir/paper/90499/en

Vancouver: Copy

ZALI H., AMINI R., SHIRI HARIS R.. GENE EXPRESSION ANALYSIS OF LEUKEMIA MICROARRAY DATA BY DAVID PROGRAM. JOURNAL OF ILAM UNIVERSITY OF MEDICAL SCIENCES[Internet]. 2013;21(2):92-102. Available from: https://sid.ir/paper/90499/en

IEEE: Copy

H. ZALI, R. AMINI, and R. SHIRI HARIS, “GENE EXPRESSION ANALYSIS OF LEUKEMIA MICROARRAY DATA BY DAVID PROGRAM,” JOURNAL OF ILAM UNIVERSITY OF MEDICAL SCIENCES, vol. 21, no. 2, pp. 92–102, 2013, [Online]. Available: https://sid.ir/paper/90499/en

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