microrna研究经典文献.doc

MICRORNA 研究经典文献 MicroRNAs (miRNAs)是一种大小约 21—23 个碱基的单链小分子 RNA，是由具有 发夹结构的约 70-90 个碱基大小的单链 RNA 前体经过 dicer 酶加工后生成，不 同于 siRNA（双链）但是和 siRNA 密切相关据推测，这些非编码小分子 RNA（miRNAs）参与调控基因表达，但其机制区别于 siRNA 介导的 mRNA 降解 第一个被确认的 miRNA 是虫中首次发现的 lin-4 和 let-7，随后多个研究 小组在包括人类、果蝇、植物等多种生物物种中鉴别出数百个 miRNAs最早被发现的两个 miRNAs——lin-4 and let-7 被认为是通过不完全互补 结合到目标靶 mRNA 3’非编码区端，以一种未知方式诱发蛋白质翻译抑制，进 而抑制蛋白质合成，阻断 mRNA 的翻译多个果蝇 miRNAs 也被发现和他们的目 标靶 mRNAs 的 3’非编码区有部分同源由于 miRNAs 和其潜在的目标靶之间并 非完全互补，这使得通过信息学的方法鉴定 miRNA 的目标靶位点变得困难因 而也无法确定 miRNAs 的作用方式是什么，以何种机制影响 mRNA 的翻译，以何 种方式调控基因表达。

miRNAs 的作用目标靶和活性机制一直是各地的研究人员 的关注热点 收集了一些 microrna 研究最重要的文献，供大家参考 Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes aremicroRNA targets作者: Lewis, BP; Burge, CB; Bartel, DPCELL 卷: 120 期: 1 页: 15-20 出版年: JAN 14 2005出版商处的全文关闭摘要We predict regulatory targets of vertebrate microRNAs (miRNAs) by identifying mRNAs with conserved complementarity to the seed (nucleotides 2-7) of the miRNA. An overrepresentation of conserved adenosines flanking the seed complementary sites in mRNAs indicates that primary sequence determinants can supplement base pairing to specify miRNA target recognition. In a four-genome analysis of 3' UTRs, approximately 13,000 regulatory relationships were detected above the estimate of false-positive predictions, thereby implicating as miRNA targets more than 5300 human genes, which represented 30% of our gene set. Targeting was also detected in open reading frames. In sum, well over one third of human genes appear to be conserved miRNA targets.被引频次被引频次: 4,546 (来自所有数据库)MicroRNA expression profiles classify human cancers作者: Lu, J; Getz, G; Miska, EA; 等.NATURE 卷: 435 期: 7043 页: 834-838 出版年: JUN 9 2005关闭摘要Recent work has revealed the existence of a class of small non-coding RNA species, known as microRNAs ( miRNAs), which have critical functions across various biological processes(1,2). Here we use a new, bead-based flow cytometric miRNA expression profiling method to present a systematic expression analysis of 217 mammalian miRNAs from 334 samples, including multiple human cancers. The miRNA profiles are surprisingly informative, reflecting the developmental lineage and differentiation state of the tumours. We observe a general downregulation of miRNAs in tumours compared with normal tissues. Furthermore, we were able to successfully classify poorly differentiated tumours using miRNA expression profiles, whereas messenger RNA profiles were highly inaccurate when applied to the same samples. These findings highlight the potential of miRNA profiling in cancer diagnosis.被引频次被引频次: 3,853 (来自所有数据库)The functions of animal microRNAs作者: Ambros, VNATURE 卷: 431 期: 7006 页: 350-355 出版年: SEP 16 2004被引频次被引频次: 3,273 (来自所有数据库)Oncomirs - microRNAs with a role in cancer作者: Esquela-Kerscher, A; Slack, FJNATURE REVIEWS CANCER 卷: 6 期: 4 页: 259-269 出版年: APR 2006关闭摘要MicroRNAs (miRNAs) are an abundant class of small non-protein-coding RNAs that function as negative gene regulators. They regulate diverse biological processes, and bioinformatic data indicates that each miRNA can control hundreds of gene targets, underscoring the potential influence of miRNAs on almost every genetic pathway. Recent evidence has shown that miRNA mutations or mis-expression correlate with various human cancers and indicates that miRNAs can function as tumour suppressors and oncogenes. miRNAs have been shown to repress the expression of important cancer-related genes and might prove useful in the diagnosis and treatment of cancer.被引频次被引频次: 2,617 (来自所有数据库)A microRNA expression signature of human solid tumors defines cancer gene targets作者: Volinia, S; Calin, GA; Liu, CG; 等.PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 卷: 103 期: 7 页: 2257-2261 出版年: FEB 14 2006关闭摘要Small noncoding microRNAs (miRNAs) can contribute to cancer development and progression and are differentially expressed in normal tissues and cancers. From a large-scale miRnome analysis on 540 samples including lung, breast, stomach, prostate, colon, and pancreatic tumors, we identified a solid cancer miRNA signature composed by a large portion of overexpressed miRNAs. Among these miRNAs are some with well characterized cancer association, such as miR-17-5p, miR-20a, miR-21, miR-92, miR-106a, and miR-155. The predicted targets for the differentially expressed miRNAs are significantly enriched for protein-coding tumor suppressors and oncogenes (P 90% of uniquely mapped reads fell within known exons, the remaining data suggest new and revised gene models, including changed or additional promoters, exons and 3' untranscribed regions, as well as new candidate microRNA precursors. RNA splice events, which are not readily measured by standard gene expression microarray or serial analysis of gene expression methods, were detected directly by mapping splice-crossing sequence reads. We observed 1.45 x 10(5) distinct splices, and alternative splices we。