Stefani G, Slack F
Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, Connecticut 06520, USA.
Cold Spring Harb Symp Quant Biol. 2006;71:129-34. doi: 10.1101/sqb.2006.71.032.
As the number of known microRNAs (miRNAs) increases, and their importance in physiology and disease becomes apparent, the identification of their regulatory targets is a requisite for a full characterization of their biological functions. Computational methods based on sequence homology and phylogenetic conservation have spearheaded this effort in the last 3 years, but they may not be sufficient. Experimental studies are now needed to extend and validate the computational predictions and further our understanding of target recognition by miRNAs.
随着已知微小RNA(miRNA)数量的增加,以及它们在生理学和疾病中的重要性日益显现,确定其调控靶点对于全面了解其生物学功能而言必不可少。在过去三年中,基于序列同源性和系统发育保守性的计算方法引领了这一研究工作,但这些方法可能并不充分。现在需要开展实验研究,以扩展和验证计算预测结果,并进一步加深我们对miRNA靶标识别的理解。