System for Storing, Recovering, and Comparing Gene Expression Information from Patients with Endometriosis

Authors

  • Luiz Aparecido Virginio Junior University of Campinas (UNICAMP)/Masters Student in Electrical Engineering
  • Juliana Meola Universidade de São Paulo/Researcher at the Department of Gynecology and Obstetrics of the Faculty of Medicine of Ribeirão Preto
  • Daniel Blasioli Dentillo University of São Paulo (USP)/Postdoctoral fellow at the Department of Gynecology and Obstetrics of the Faculty of Medicine of Ribeirão Preto
  • Júlio César Rosa e Silva University of São Paulo (USP)/PhD and Professor at the Department of Gynecology and Obstetrics of the Faculty of Medicine of Ribeirão Preto
  • Rui Alberto Ferriani University of São Paulo (USP)/Full Professor at the Department of Gynecology and Obstetrics of the Faculty of Medicine of Ribeirão Preto
  • Silvana Giuliatti University of São Paulo (USP)/PhD and Professor at the Department of Genetics of the Faculty of Medicine of Ribeirão Preto

Keywords:

Endometriosis, Computational Biology, Gene Expression

Abstract

Objective: To develop a web-based system to store, recover, compare, and associate information obtained using high-throughput molecular genetic techniques regarding differentially expressed genes in patients with endometriosis. Methods: A web-based tool was developed using the Java programming and XHTML markup languages. Professionals and researchers in the field contributed to the database by uploading research data from scientific articles in which screening techniques had been performed to determine differential gene expression in women with and without endometriosis. Results: a web-based system with the main functionalities of article registration and gene searching was developed. These functions allow the user to identify coincidences between the results reported in the registered articles regarding differential gene expression. Conclusion: The developed tool allows for the collection of principal data regarding dysregulated gene expression in endometriosis and highlights candidate genes for future studies to better understand the etiopathogenesis of this disease.

Author Biographies

Luiz Aparecido Virginio Junior, University of Campinas (UNICAMP)/Masters Student in Electrical Engineering

Masters Student in Electrical Engineering at the Department of Computer Engineering and Industrial Automation, Faculty of Electrical and Computer Engineering, University of Campinas (UNICAMP), Campinas (SP), Brazil.

Juliana Meola, Universidade de São Paulo/Researcher at the Department of Gynecology and Obstetrics of the Faculty of Medicine of Ribeirão Preto

Researcher at the Department of Gynecology and Obstetrics of the Faculty of Medicine of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto (SP), Brazil.

Daniel Blasioli Dentillo, University of São Paulo (USP)/Postdoctoral fellow at the Department of Gynecology and Obstetrics of the Faculty of Medicine of Ribeirão Preto

Postdoctoral fellow at the Department of Gynecology and Obstetrics of the Faculty of Medicine of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto (SP), Brazil.

Júlio César Rosa e Silva, University of São Paulo (USP)/PhD and Professor at the Department of Gynecology and Obstetrics of the Faculty of Medicine of Ribeirão Preto

PhD and Professor at the Department of Gynecology and Obstetrics of the Faculty of Medicine of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto (SP), Brazil.

Rui Alberto Ferriani, University of São Paulo (USP)/Full Professor at the Department of Gynecology and Obstetrics of the Faculty of Medicine of Ribeirão Preto

Full Professor at the Department of Gynecology and Obstetrics of the Faculty of Medicine of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto (SP), Brazil.

Silvana Giuliatti, University of São Paulo (USP)/PhD and Professor at the Department of Genetics of the Faculty of Medicine of Ribeirão Preto

PhD and Professor at the Department of Genetics of the Faculty of Medicine of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto (SP), Brazil.

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Published

2015-10-19

How to Cite

Virginio Junior, L. A., Meola, J., Dentillo, D. B., Rosa e Silva, J. C., Ferriani, R. A., & Giuliatti, S. (2015). System for Storing, Recovering, and Comparing Gene Expression Information from Patients with Endometriosis. Journal of Health Informatics, 7(4). Retrieved from https://jhi.sbis.org.br/index.php/jhi-sbis/article/view/360

Issue

Vol. 7 No. 4 (2015)

Section

Original Articles

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