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MicroRNAs (miRNAs) are endogenous small RNAs that can regulate target mRNAs by binding to their 3'-UTRs. A single miRNA can regulate many mRNA targets, and several miRNAs can regulate a single mRNA. These have been reported to be involved in a variety of functions, including developmental transitions, neuronal patterning, apoptosis, adipogenesis metabolism and hematopoiesis in different organisms. Many oncogenes and tumor suppressor genes are regulated by miRNAs. Studies conducted in the past few years have demonstrated the possible association between miRNAs and several human malignancies and infectious diseases. In this article, we have focused on the mechanism of miRNA biogenesis and the role of miRNAs in human health and disease.  相似文献   

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MicroRNAs (miRNAs) are a class of noncoding small RNAs that regulate gene expression by base pairing with target mRNAs at the 3'-terminal untranslated regions (3'-UTRs), leading to mRNA cleavage or translational repression. Single-nucleotide polymorphisms (SNPs) located at miRNA-binding sites (miRNA-binding SNPs) are likely to affect the expression of the miRNA target and may contribute to the susceptibility of humans to common diseases. We herein performed a genome-wide analysis of SNPs located in the miRNA-binding sites of the 3'-UTR of various human genes. We found that miRNA-binding SNPs are negatively selected in respect to SNP distribution between the miRNA-binding 'seed' sequence and the entire 3'-UTR sequence. Furthermore, we comprehensively defined the expression of each miRNA-binding SNP in cancers versus normal tissues through mining EST databases. Interestingly, we found that some miRNA-binding SNPs exhibit significant different allele frequencies between the human cancer EST libraries and the dbSNP database. More importantly, using human cancer specimens against the dbSNP database for case-control association studies, we found that twelve miRNA-binding SNPs indeed display an aberrant allele frequency in human cancers. Hence, SNPs located in miRNA-binding sites affect miRNA target expression and function, and are potentially associated with cancers.  相似文献   

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Micro-RNAs are a class of small non-coding regulatory RNAs that impair translation by imperfect base pairing to mRNAs. For analysis of their cellular function we injected different miRNA-specific DNA antisense oligonucleotides in Drosophila embryos. In four cases we observed severe interference with normal development, one had a moderate impact and six oligonucleotides did not cause detectable phenotypes. We further used the miR-13a DNA antisense oligonucleotide as a PCR primer on a cDNA library template. In this experimental way we identified nine Drosophila genes, which are characterised by 3' untranslated region motifs that allow imperfect duplex formation with miR-13 or related miRNAs. These genes, which include Sos and Myd88, represent putative targets for miRNA regulation. Mutagenesis of the target motif of two genes followed by transfection in Drosophila Schneider 2 (S2) cells and subsequent reporter gene analysis confirmed the hypothesis that the binding potential of miR-13 is inversely correlated with gene expression.  相似文献   

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MAVisto: a tool for the exploration of network motifs   总被引:1,自引:0,他引:1  
SUMMARY: MAVisto is a tool for the exploration of motifs in biological networks. It provides a flexible motif search algorithm and different views for the analysis and visualization of network motifs. These views help to explore interesting motifs: the frequency of motif occurrences can be compared with randomized networks, a list of motifs along with information about structure and number of occurrences depending on the reuse of network elements shows potentially interesting motifs, a motif fingerprint reveals the overall distribution of motifs of a given size and the distribution of a particular motif in the network can be visualized using an advanced layout algorithm. AVAILABILITY: MAVisto is platform independent and available free of charge as a Java webstart application at http://mavisto.ipk-gatersleben.de/ CONTACT: schwoebb@ipk-gatersleben.de SUPPLEMENTARY INFORMATION: Can be found at http://mavisto.ipk-gatersleben.de/  相似文献   

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The establishment of endometrial receptivity is a prerequisite for successful pregnancy, which is controlled by a complex mechanism. MicroRNAs (miRNAs) are small non-coding RNAs that have emerged as important regulators of gene expression. However, the contribution of miRNAs in endometrial receptivity is still unknown. Here we used rhesus monkey as an animal model and compared the endometrial miRNA expression profiles during early-secretory (pre-receptive) phase and mid-secretory (receptive) phase by deep sequencing. A set of differentially expressed miRNAs were identified, 8 of which were selected and validated using quantitative RT-PCR. To facilitate the prediction of their target genes, the 3'-UTRome was also determined using tag sequencing of mRNA 3'-termini. Surprisingly, about 50% of the 10,677 genes expressed in the rhesus monkey endometrium exhibited alternative 3'-UTRs. Of special interest, the progesterone receptor (PGR) gene, which is necessary for endometrial receptivity, processes an ultra long 3'-UTR (~10 kb) along with a short variant (~2.5 kb). Evolutionary analysis showed that the 3'-UTR sequences of PGR are poorly conserved between primates and rodents, suggesting a species-biased miRNA binding pattern. We further demonstrated that PGR is a valid target of miR-96 in rhesus monkey and human but not in rodents, whereas the regulation of PGR by miR-375 is rhesus monkey-specific. Additionally, we found that miR-219-5p regulates PGR expression through a primate-specific long non-coding RNA immediately downstream of the PGR locus. Our study provides new insights into the molecular mechanisms underlying endometrial receptivity and presents intriguing species-specific regulatory roles of miRNAs.  相似文献   

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Background  

Several motif detection algorithms have been developed to discover overrepresented motifs in sets of coexpressed genes. However, in a noisy gene list, the number of genes containing the motif versus the number lacking the motif might not be sufficiently high to allow detection by classical motif detection tools. To still recover motifs which are not significantly enriched but still present, we developed a procedure in which we use phylogenetic footprinting to first delineate all potential motifs in each gene. Then we mutually compare all detected motifs and identify the ones that are shared by at least a few genes in the data set as potential candidates.  相似文献   

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The AR (androgen receptor) is known to influence the expression of its target genes by binding to different sets of AREs (androgen-response elements) in the DNA. One set consists of the classical steroid-response elements which are partial palindromic repeats of the 5'-TGTTCT-3' steroid-receptor monomer-binding element. The second set contains motifs that are AR-specific and that are proposed to be partial direct repeats of the same motif. On the basis of this assumption, we used an in silico approach to identify new androgen-selective AREs in the regulatory regions of known androgen-responsive genes. We have used an extension of the NUBIScan algorithm to screen a collection of 85 known human androgen-responsive genes compiled from literature and database searches. We report the evaluation of the most promising hits resulting from this computational search by in vitro DNA-binding assays using full-size ARs and GRs (glucocorticoid receptors) as well as their isolated DBDs (DNA-binding domains). We also describe the ability of some of these motifs to confer androgen-, but not glucocorticoid-, responsiveness to reporter-gene expression. The elements found in the aquaporin-5 and the Rad9 (radiation-sensitive 9) genes showed selective AR versus GR binding in band-shift assays and a strong activity and selectivity in functional assays, both as isolated elements and in their original contexts. Our data indicate the validity of the hypothesis that selective AREs are recognizable as direct 5'-TGTTCT-3' repeats, and extend the list of currently known selective elements.  相似文献   

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