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At least 415 records · Page 23Linked to original sources

PubMed2004

Structural features of microRNA (miRNA) precursors and their relevance to miRNA biogenesis and small interfering RNA/short hairpin RNA design.

We have established the structures of 10 human microRNA (miRNA) precursors using biochemical methods. Eight of these structures turned out to be different from those that were computer-predicted. The differences localized in the terminal loop region and at the opposite side of the precursor hairpin stem. We have analyzed the features of these structures from the perspectives of miRNA biogenesis and active strand selection. We demonstrated the different thermodynamic stability profiles for pre-miRNA hairpins harboring miRNAs at their 5'- and 3'-sides and discussed their functional implications. Our results showed that miRNA prediction based on predicted precursor structures may give ambiguous results, and the success rate is significantly higher for the experimentally determined structures. On the other hand, the differences between the predicted and experimentally determined structures did not affect the stability of termini produced through "conceptual dicing." This result confirms the value of thermodynamic analysis based on mfold as a predictor of strand section by RNAi-induced silencing complex (RISC).

Base Sequence↗

PubMed2006

MicroRNA-9 controls the expression of Granuphilin/Slp4 and the secretory response of insulin-producing cells.

Insulin release from pancreatic beta-cells plays an essential role in blood glucose homeostasis. Several proteins controlling insulin exocytosis have been identified, but the factors determining the expression of the components of the secretory machinery of beta-cells remain largely unknown. MicroRNAs are newly discovered small non-coding RNAs acting as repressors of gene expression. We found that overexpression of mir-9 in insulin-secreting cells causes a reduction in exocytosis elicited by glucose or potassium. We show that mir-9 acts by diminishing the expression of the transcription factor Onecut-2 and, in turn, by increasing the level of Granuphilin/Slp4, a Rab GTPase effector associated with beta-cell secretory granules that exerts a negative control on insulin release. Indeed, electrophoretic mobility shift assays, chromatin immunoprecipitation, and transfection experiments demonstrated that Onecut-2 is able to bind to the granuphilin promoter and to repress its transcriptional activity. Moreover, we show that silencing of Onecut-2 by RNA interference increases Granuphilin expression and mimics the effect of mir-9 on stimulus-induced exocytosis. Our data provide evidence that in insulin-producing cells adequate levels of mir-9 are mandatory for maintaining appropriate Granuphilin levels and optimal secretory capacity.

Base Sequence↗

PubMed2006

MicroRNA-155 regulates human angiotensin II type 1 receptor expression in fibroblasts.

A large number of studies have demonstrated that the expression of the angiotensin II type 1 receptor (AT(1)R) is regulated predominantly by post-transcriptional mechanisms. Recently, it has been suggested that 10% of human genes may be regulated, in part, by a novel post-transcriptional mechanism involving microRNAs (miRNAs). miRNAs are small RNAs that regulate gene expression primarily through translational repression. The aim of this study was to determine whether miRNAs could regulate human AT(1)R expression. Luciferase reporter assays demonstrated that miR-155 could directly interact with the 3'-untranslated region of the hAT(1)R mRNA. Functional studies demonstrated that transfection of miR-155 into human primary lung fibroblasts (hPFBs) reduced the endogenous expression of the hAT(1)R compared with non-transfected cells. Additionally, miR-155 transfected cells showed a significant reduction in angiotensin II-induced extracellular signal-related kinase 1/2 (ERK1/2) activation. Furthermore, when hPFBs were transfected with an antisense miR-155 inhibitor, anti-miR-155, endogenous hAT(1)R expression and angiotensin II-induced ERK1/2 activation were significantly increased. Finally, transforming growth factor-beta(1) treatment of hPFBs resulted in the decreased expression of miR-155 and the increased expression of the hAT(1)R. In summary, our studies suggest that miR-155 can bind to the 3'-untranslated region (UTR) of hAT(1)R mRNAs and translationally repress the expression of this protein in vivo. Importantly, the translational repression mediated by miR-155 can be regulated by physiological stimuli.

3' Untranslated Regions↗

PubMed2007

The MicroRNA let-7a modulates interleukin-6-dependent STAT-3 survival signaling in malignant human cholangiocytes.

The inflammation-associated cytokine interleukin-6 (IL-6) can contribute to tumor growth and resistance to therapy by the activation of survival mechanisms. In several human cancers, IL-6-activated survival signaling involves the signal transducers and activators of transcription (Stat) factors or protein kinase cascades. microRNAs (miRNAs) are endogenous regulators of gene expression that are altered in expression in many cancers. However, the effect of inflammatory cytokines on miRNA expression and the role of miRNA in modulating IL-6-mediated cell survival are unknown. We investigated the involvement of miRNA in malignant cholangiocytes stably transfected to overexpress IL-6, which enhances tumor growth in vivo by inhibition of apoptosis. We provide evidence that (i) miRNA expression both in vitro and in vivo is altered by overexpression of IL-6; (ii) selective miRNAs including let-7a are up-regulated and contribute to the survival effects of enforced IL-6 activity; and (iii) let-7a contributes to the constitutively increased phosphorylation of Stat-3 by a mechanism involving the neurofibromatosis 2 (NF2) gene. These findings reveal a novel mechanism by which IL-6 mediates tumor cell survival that may be therapeutically targeted and emphasize the presence of complex interrelationships between deregulated expression of miRNA and transcription factors in human cancers.

Adenoma, Bile Duct↗

PubMed2025

MicroRNA-122 overexpression suppresses the colon cancer cell proliferation by downregulating the astrocyte elevated gene-1/metadherin oncoprotein.

BACKGROUND: MicroRNAs (miRNAs) are small non-coding RNAs that regulate essential cellular functions, such as cell adhesion, proliferation, migration, invasion, and programmed cell death, and therefore, alterations in miRNAs can contribute to carcinogenesis. Previous studies have shown that miRNA-122 is abundant in the liver and regulates cell proliferation, migration, and apoptosis. However, the expression pattern and mechanism of actions of miR-122 remain primarily unknown in colon cancer. METHODS: In this study, we analyzed The Cancer Genome Atlas Colon Adenocarcinoma (TCGA-COAD) database to assess the clinical significance of astrocyte elevated gene-1 (AEG-1)/metadherin (MTDH) and miR-122 in colon cancer. MiR-122 overexpression studies were performed in HCT116, SW480, and SW620 cell lines. Dual-luciferase assay was carried out to confirm the interaction between AEG-1 and miR-122. In vivo-JetPEI-transfection reagent was used for in-vivo transient transfection of miR-122 in the AOM/DSS-induced colon tumor mouse model. RESULTS: Our results demonstrate that miR-122 was downregulated in colon cancer cells, and it influences the expressions of apoptotic factors and inflammatory cytokines. MiR-122 overexpression in HCT116, SW480, and SW620 cells showed upregulation of Caspase 3, Caspase 9, and BAX and decreased expression of BCL2, which are pro-apoptotic and anti-apoptotic members that maintain a ratio between cellular survival and cell death. In vivo transient transfection of miR-122 mimic in AOM/DSS induced colon tumor mouse model showed less inflammation and disease activity. The TCGA-COAD data indicated that AEG-1 expression was higher in patients with low expression of miR-122 and lower AEG-1 expression in patients with higher expression miR-122. CONCLUSION: Our findings highlight the key role of miR-122 in the high grade of colonic inflammation, and possibly in colon cancer, and the use of miR-122 mimic might be a therapeutic option.

MicroRNAs↗

PubMed2006

Are viral-encoded microRNAs mediating latent HIV-1 infection?

The Human Immunodeficiency Virus type 1 (HIV-1), a member of the lentivirus subfamily, infects both dividing and nondividing cells and, following reverse transcription of the viral RNA genome, integrates into the host chromatin where it enters into a latent state. Many of the factors governing viral latency remain unresolved and current antiviral treatment regimens are largely ineffective at eliminating cellular reservoirs of latent virus. The recent identification of microRNA (miRNA) encoding sequences embedded in the HIV-1 genome, and the discovery of functional virus-derived miRNAs, suggests a role for RNA Interference (RNAi) in the regulation of HIV-1 gene expression. Recently, the mammalian RNAi machinery was shown to regulate gene expression epigenetically by transcriptional modulation, providing a direct link between RNAi and a mechanism for inducing latency. Interestingly, both HIV-1 Tat, and the host TAR RNA-binding protein (TRBP), bind to the transactivating response (TAR) RNA of HIV-1 and affect the function of RNAi in human cells. Specifically, TRBP, a cofactor in Tat-TAR interactions, is a vital component of Dicer-mediated dsRNA processing. These novel observations support a central role for HIV-1 and associated host factors in regulating cellular RNAi and viral gene expression through RNA directed processes. Thus, HIV-1 may have evolved mechanisms to exploit the RNAi pathway at both the transcriptional and posttranscriptional level to affect and/or maintain a latent infection.

Gene Expression Regulation, Viral↗

PubMed2006

Conserved microRNA characteristics in mammals.

Short hairpin RNAs (shRNAs) and short interfering RNAs (siRNAs) probably enter different stages of the microRNA (miRNA) pathway for depletion of mRNA and suppression of protein translation. Primary and secondary structural characteristics that are shared between endogenous primary miRNA transcripts (pri-miRNAs) may contribute toward efficient biogenesis and potent silencing. This study investigates known miRNA transcripts for characteristics that are conserved between miRNAs and that distinguish them from random hairpins with similar lengths. The primary structure is conserved, as demonstrated by a significant presence or absence of certain bases at specific positions in the miRNA precursors and their flanking regions. The secondary structure is also conserved between miRNAs, as internal loops and bulges commonly appear in specific positions in the miRNA stem. The conservation of base-pairing continues past the mature duplex and 13 bases into the primary stem, with no detectable conservation of secondary structure beyond this region. Based on these observations, we have designed a hairpin construct that incorporates the most important characteristics present in endogenous miRNAs. Preliminary experiments suggest that this construct may rescue the efficacy of shRNA triggers that cannot be used with a miR-30-based hairpin, and vice versa.

Animals↗

PubMed2004

Profile-based detection of microRNA precursors in animal genomes.

MOTIVATION: MicroRNAs (miRNA) are essential 21-22 nt regulatory RNAs produced from larger hairpin-like precursors. Local sequence alignment tools such as BLAST are able to identify new members of known miRNA families, but not all of them. We set out to estimate how many new miRNAs could be recovered using a profile-based strategy such as that implemented in the ERPIN program. RESULTS: We constructed alignments for 18 miRNA families and performed ERPIN searches on animal genomes. Results were compared to those of a WU-BLAST search at the same E-value cutoff. The two combined approaches produced 265 new miRNA candidates that were not found in miRNA databases. About 17% of hits were ERPIN specific. They showed better structural characteristics than BLAST-specific hits and included interesting candidates such as members of the miR-17 cluster in Tetraodon. Profile-based RNA detection will be an important complement of similarity search programs in the completion of miRNA collections.

Algorithms↗

PubMed2005

Prediction of regulatory modules comprising microRNAs and target genes.

MOTIVATION: MicroRNAs (miRNAs) are small endogenous RNAs that can play important regulatory roles via the RNA-interference pathway by targeting mRNAs for cleavage or translational repression. We propose a computational method to predict miRNA regulatory modules (MRMs) or groups of miRNAs and target genes that are believed to participate cooperatively in post-transcriptional gene regulation. RESULTS: We tested our method with the human genes and miRNAs, predicting 431 MRMs. We analyze a module with genes: BTG2, WT1, PPM1D, PAK7 and RAB9B, and miRNAs: miR-15a and miR-16. Review of the literature and annotation with Gene Ontology terms reveal that the roles of these genes can indeed be closely related in specific biological processes, such as gene regulation involved in breast, renal and prostate cancers. Furthermore, it has been reported that miR-15a and miR-16 are deleted together in certain types of cancer, suggesting a possible connection between these miRNAs and cancers. Given that most known functionalities of miRNAs are related to negative gene regulation, extending our approach and exploiting the insight thus obtained may provide clues to achieving practical accuracy in the reverse-engineering of gene regulatory networks. AVAILABILITY: A list of predicted modules is available from the authors upon request.

Algorithms↗

PubMed2005

MicroRNA identification based on sequence and structure alignment.

MOTIVATION: MicroRNAs (miRNA) are approximately 22 nt long non-coding RNAs that are derived from larger hairpin RNA precursors and play important regulatory roles in both animals and plants. The short length of the miRNA sequences and relatively low conservation of pre-miRNA sequences restrict the conventional sequence-alignment-based methods to finding only relatively close homologs. On the other hand, it has been reported that miRNA genes are more conserved in the secondary structure rather than in primary sequences. Therefore, secondary structural features should be more fully exploited in the homologue search for new miRNA genes. RESULTS: In this paper, we present a novel genome-wide computational approach to detect miRNAs in animals based on both sequence and structure alignment. Experiments show this approach has higher sensitivity and comparable specificity than other reported homologue searching methods. We applied this method on Anopheles gambiae and detected 59 new miRNA genes. AVAILABILITY: This program is available at http://bioinfo.au.tsinghua.edu.cn/miralign. SUPPLEMENTARY INFORMATION: Supplementary information is available at http://bioinfo.au.tsinghua.edu.cn/miralign/supplementary.htm.

Algorithms↗

PubMed2005

Identification of plant microRNA homologs.

MicroRNAs (miRNAs) are a recently discovered class of non-coding RNAs that regulate gene and protein expression in plants and animals. MiRNAs have so far been identified mostly by specific cloning of small RNA molecules, complemented by computational methods. We present a computational identification approach that is able to identify candidate miRNA homologs in any set of sequences, given a query miRNA. The approach is based on a sequence similarity search step followed by a set of structural filters.

Algorithms↗

PubMed2006

Combining multi-species genomic data for microRNA identification using a Naive Bayes classifier.

MOTIVATION: Most computational methodologies for microRNA gene prediction utilize techniques based on sequence conservation and/or structural similarity. In this study we describe a new technique, which is applicable across several species, for predicting miRNA genes. This technique is based on machine learning, using the Naive Bayes classifier. It automatically generates a model from the training data, which consists of sequence and structure information of known miRNAs from a variety of species. RESULTS: Our study shows that the application of machine learning techniques, along with the integration of data from multiple species is a useful and general approach for miRNA gene prediction. Based on our experiments, we believe that this new technique is applicable to an extensive range of eukaryotes' genomes. Specific structure and sequence features are first used to identify miRNAs followed by a comparative analysis to decrease the number of false positives (FPs). The resulting algorithm exhibits higher specificity and similar sensitivity compared to currently used algorithms that rely on conserved genomic regions to decrease the rate of FPs.

Algorithms↗

PubMed2006

Hairpins in a Haystack: recognizing microRNA precursors in comparative genomics data.

UNLABELLED: Recently, genome-wide surveys for non-coding RNAs have provided evidence for tens of thousands of previously undescribed evolutionary conserved RNAs with distinctive secondary structures. The annotation of these putative ncRNAs, however, remains a difficult problem. Here we describe an SVM-based approach that, in conjunction with a non-stringent filter for consensus secondary structures, is capable of efficiently recognizing microRNA precursors in multiple sequence alignments. The software was applied to recent genome-wide RNAz surveys of mammals, urochordates, and nematodes. AVAILABILITY: The program RNAmicro is available as source code and can be downloaded from http://www.bioinf.uni-leipzig/Software/RNAmicro.

Algorithms↗

PubMed2006

Reliable prediction of Drosha processing sites improves microRNA gene prediction.

MOTIVATION: Mature microRNAs (miRNAs) are processed from long hairpin transcripts. Even though it is only the first of several steps, the initial Drosha processing defines the mature product and is characteristic for all miRNA genes. Methods that can separate between true and false processing sites are therefore essential to miRNA gene discovery. RESULTS: We present a classifier that predicts 5' Drosha processing sites in hairpins that are candidate miRNAs. The classifier, called Microprocessor SVM, correctly predicts the processing site for 50% of known human 5' miRNAs, and 90% of its predictions are within two nucleotides of the true site. Another classifier that is trained on the output from the Microprocessor SVM outperforms existing methods for prediction of unconserved miRNAs. Reanalysis of characteristics and supporting evidence for a set of newly annotated miRNAs shows that some miRNAs may be misannotated. This suggests that expressed hairpins should not be annotated as miRNAs until they are verified to be Drosha and Dicer substrates. AVAILABILITY: The classifiers are publicly available at https://demo1.interagon.com/miRNA/

Artificial Intelligence↗

PubMed2006

MicroRNAs in biological processes and carcinogenesis.

MicroRNAs (miRNAs) encoding small non-coding RNAs have been recognized as a very large gene family present in most organisms. The precise biological effects of miRNAs are yet to be elucidated in detail, partly because each miRNA is believed to negatively regulate the expression of hundreds of target genes. Nevertheless, recent findings indicate that carcinogenic processes are associated with alterations in the expression of several miRNAs, suggesting that some function as oncogenes or tumor suppressor genes. The present review focuses on recent findings in this exciting new area of research, with special emphasis on the involvement of miRNAs in cancer development and progression. Further studies are clearly warranted to elucidate the molecular and biological roles of miRNAs, which may ultimately provide both a better understanding of disease development, as well as a foundation for novel strategies for cancer diagnosis and therapy.

Animals↗

PubMed2002

MicroRNA maturation: stepwise processing and subcellular localization.

MicroRNAs (miRNAs) constitute a novel, phylogenetically extensive family of small RNAs ( approximately 22 nucleotides) with potential roles in gene regulation. Apart from the finding that miRNAs are produced by Dicer from the precursors of approximately 70 nucleotides (pre-miRNAs), little is known about miRNA biogenesis. Some miRNA genes have been found in close conjunction, suggesting that they are expressed as single transcriptional units. Here, we present in vivo and in vitro evidence that these clustered miRNAs are expressed polycistronically and are processed through at least two sequential steps: (i) generation of the approximately 70 nucleotide pre-miRNAs from the longer transcripts (termed pri-miRNAs); and (ii) processing of pre-miRNAs into mature miRNAs. Subcellular localization studies showed that the first and second steps are compartmentalized into the nucleus and cytoplasm, respectively, and that the pre-miRNA serves as the substrate for nuclear export. Our study suggests that the regulation of miRNA expression may occur at multiple levels, including the two processing steps and the nuclear export step. These data will provide a framework for further studies on miRNA biogenesis.

Biological Transport↗

PubMed2005

Camels and zebrafish, viruses and cancer: a microRNA update.

MicroRNAs (miRNAs) form an extensive class of RNA molecules that regulate gene expression at post-transcriptional level. In recent years, much progress has been made in dissection of biogenesis and functions of miRNAs. There are at least several hundred miRNA genes in the human genome, and the emerging evidence suggests that miRNAs are broadly implicated in gene regulation. Here, we review some recent advances, and particularly we discuss how comparative genomics helps to identify novel miRNA genes, how studies in zebrafish reveal roles of miRNAs in morphogenesis, how changes in miRNA expression patterns are connected with cancer and how host-virus coevolution exploits miRNA regulatory pathways.

Animals↗

PubMed2005

Physiological identification of human transcripts translationally regulated by a specific microRNA.

One mechanism by which endogenous microRNAs (miRNAs) function is to suppress translation of target mRNAs. Computational identification of target mRNAs is hampered by the partial complementarity between miRNAs and their targets and the lack of in vivo approaches to identify targets. Here, we identify mRNAs that are regulated by specific endogenous miRNA by detecting shifts in individual mRNA abundance in polyribosome profiles following miRNA knockdown via siRNA. We have identified human genes whose mRNAs were found at significantly increased levels in the heavy polyribosome fractions following miRNA miR-30a-3p knockdown. If antibody was available, targets showed an increase in protein levels following the miRNA knockdown and a decrease following the miRNA overexpression. Although all identified transcripts have sequences that partially complement miR-30a-3p, none was identified by commonly used computational means. These data suggest that the functional interaction between miRNAs and mRNA targets is more complex than previously realized and describe an approach to refine predictive algorithms.

3' Untranslated Regions↗