Characterization of the global profile of genes expressed in cervical epithelium by Serial Analysis of Gene Expression (SAGE)

Carlos Pérez-Plasencia, Gregory Riggins, Guelaguetza Vázquez-Ortiz, José Moreno, Hugo Arreola, Alfredo Hidalgo, Patricia Piña-Sanchez, Mauricio Salcedo

Research output: Contribution to journalArticle

Abstract

Background: Serial Analysis of Gene Expression (SAGE) is a new technique that allows a detailed and profound quantitative and qualitative knowledge of gene expression profile, without previous knowledge of sequence of analyzed genes. We carried out a modification of SAGE methodology (microSAGE), useful for the analysis of limited quantities of tissue samples, on normal human cervical tissue obtained from a donor without histopathological lesions. Cervical epithelium is constituted mainly by cervical keratinocytes which are the targets of human papilloma virus (HPV), where persistent HPV infection of cervical epithelium is associated with an increase risk for developing cervical carcinomas (CC). Results: We report here a transcriptome analysis of cervical tissue by SAGE, derived from 30,418 sequenced tags that provide a wealth of information about the gene products involved in normal cervical epithelium physiology, as well as genes not previously found in uterine cervix tissue involved in the process of epidermal differentiation. Conclusions: This first comprehensive and profound analysis of uterine cervix transcriptome, should be useful for the identification of genes involved in normal cervix uterine function, and candidate genes associated with cervical carcinoma.

Original languageEnglish (US)
Article number130
JournalBMC genomics
Volume6
DOIs
StatePublished - Sep 19 2005

ASJC Scopus subject areas

  • Biotechnology
  • Genetics

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    Pérez-Plasencia, C., Riggins, G., Vázquez-Ortiz, G., Moreno, J., Arreola, H., Hidalgo, A., Piña-Sanchez, P., & Salcedo, M. (2005). Characterization of the global profile of genes expressed in cervical epithelium by Serial Analysis of Gene Expression (SAGE). BMC genomics, 6, [130]. https://doi.org/10.1186/1471-2164-6-130