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Current approaches to micro-RNA analysis and target gene prediction.
Lhakhang, Tenzin W; Chaudhry, M Ahmad.
Afiliación
  • Lhakhang TW; Department of Medical Laboratory and Radiation Sciences, University of Vermont, 302 Rowell Building, Burlington, VT 05405, USA.
J Appl Genet ; 53(2): 149-58, 2012 May.
Article en En | MEDLINE | ID: mdl-21892624
ABSTRACT
It is becoming increasingly evident that micro-RNAs (miRNA) play a significant role in regulating the cellular machinery. These ∼22-nt non-coding RNAs function as negative regulators of gene expression. Since their discovery, considerable information has been obtained on miRNA biology and the mechanism of their action. Guidelines have been established for miRNA nomenclature and databases have been built to house all miRNA from many species. A number of methodologies are available for miRNA analysis. There is a lot of interest in developing bioinformatics approaches to predict miRNA target genes. This article will bring together the information on our current knowledge of miRNA biology, the approaches for miRNA analysis, and computational strategies to gain insight in miRNA functional roles.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Regulación de la Expresión Génica / Biología Computacional / MicroARNs Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: J Appl Genet Asunto de la revista: GENETICA Año: 2012 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Regulación de la Expresión Génica / Biología Computacional / MicroARNs Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: J Appl Genet Asunto de la revista: GENETICA Año: 2012 Tipo del documento: Article País de afiliación: Estados Unidos