J 2006

MicroRNA BIOGENESIS, FUNCTIONALITY AND CANCER RELEVANCE

KUSENDA, Branislav, Marek MRÁZ, Jiří MAYER a Šárka POSPÍŠILOVÁ

Základní údaje

Originální název

MicroRNA BIOGENESIS, FUNCTIONALITY AND CANCER RELEVANCE

Název česky

MicroRNA BIOGENESIS, FUNCTIONALITY AND CANCER RELEVANCE

Název anglicky

MicroRNA BIOGENESIS, FUNCTIONALITY AND CANCER RELEVANCE

Autoři

KUSENDA, Branislav, Marek MRÁZ, Jiří MAYER a Šárka POSPÍŠILOVÁ

Vydání

Biomedical Papers, 2006, 1213-811

Další údaje

Typ výsledku

Článek v odborném periodiku

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

microRNA;miRNA;RNA interference;RNAi;cancer;CLL;chronická lymfatická leukémie

Příznaky

Recenzováno
Změněno: 30. 12. 2006 23:05, prof. MUDr. Mgr. Marek Mráz, Ph.D.

Anotace

V originále

Background: MicroRNAs (miRNA) are small non–coding RNAs that negatively regulate gene expression in a sequence– specific manner. Post–transcriptional silencing of target genes by miRNA occurs either by specific cleavage of homologous mRNA or by specific inhibition of protein synthesis. MiRNAs are essential regulators of various processes such as proliferation, differentiation, development, cell death and interaction between virus and host cell. Aim: The aim of this paper is to summarize the main findings from research on miRNA biogenesis, functionality and cancer relevance. Method: A narrative literature review of all of the relevant papers known to the authors was conducted. Results: Several human diseases including cancer are associated with aberrant regulation of miRNAs expression or deficiency in miRNA biogenesis. Analysis of miRNA expression signatures can serve as a valuable tool for cancer classification, diagnostics and prediction of tumor behavior. Conclusions: There has been demonstrated a possibility to use these microRNA signatures for a specific cancer classification with potential predictive and therapeutic value. The known data provide evidence that microRNAs may open new ways for cancer diagnosis, prognosis estimation and therapy.