SEARCH · PubMed Health

Results for “MicroRNA”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 577 records · Page 32Linked to original sources

PubMed2006

A combined computational and microarray-based approach identifies novel microRNAs encoded by human gamma-herpesviruses.

We have developed an approach to identify microRNAs (miRNAs) that is based on bioinformatics and array-based technologies, without the use of cDNA cloning. The approach, designed for use on genomes of small size (<2 Mb), was tested on cells infected by either of two lymphotropic herpesviruses, KSHV and EBV. The viral genomes were scanned computationally for pre-miRNAs using an algorithm (VMir) we have developed. Candidate hairpins suggested by this analysis were then synthesized as oligonucleotides on microarrays, and the arrays were hybridized with small RNAs from infected cells. Candidate miRNAs that scored positive on the arrays were then subjected to confirmatory Northern blot analysis. Using this approach, 10 of the known KSHV pre-miRNAs were identified, as well as a novel pre-miRNA that had earlier escaped detection. This method also led to the identification of seven new EBV-encoded pre-miRNAs; by using additional computational approaches, we identified a total of 18 new EBV pre-miRNAs that produce 22 mature miRNA molecules, thereby more than quadrupling the total number of hitherto known EBV miRNAs. The advantages and limitations of the approach are discussed.

Algorithms↗

PubMed2006

A sensitive array for microRNA expression profiling (miChip) based on locked nucleic acids (LNA).

MicroRNAs represent a class of short (approximately 22 nt), noncoding regulatory RNAs involved in development, differentiation, and metabolism. We describe a novel microarray platform for genome-wide profiling of mature miRNAs (miChip) using locked nucleic acid (LNA)-modified capture probes. The biophysical properties of LNA were exploited to design probe sets for uniform, high-affinity hybridizations yielding highly accurate signals able to discriminate between single nucleotide differences and, hence, between closely related miRNA family members. The superior detection sensitivity eliminates the need for RNA size selection and/or amplification. MiChip will greatly simplify miRNA expression profiling of biological and clinical samples.

Animals↗

PubMed2005

An optimized isolation and labeling platform for accurate microRNA expression profiling.

MicroRNAs (miRNAs) are small, noncoding RNAs that regulate gene expression in both plants and animals. miRNA genes have been implicated in a variety of important biological processes, including development, differentiation, apoptosis, fat metabolism, viral infection, and cancer. Similar to protein-coding messenger RNAs, miRNA expression varies between tissues and developmental states. To acquire a better understanding of global miRNA expression in tissues and cells, we have developed isolation, labeling, and array procedures to measure the relative abundance of all of the known human mature miRNAs. The method relies on rapid isolation of RNA species smaller than ~40 nucleotides (nt), direct and homogenous enzymatic labeling of the mature miRNAs with amine modified ribonucleotides, and hybridization to antisense DNA oligonucleotide probes. A thorough performance study showed that this miRNA microarray system can detect subfemtomole amounts of individual miRNAs from <1 mug of total RNA, with 98% correlation between independent replicates. The system has been applied to compare the global miRNA expression profiles in 26 different normal human tissues. This comprehensive analysis identified miRNAs that are preferentially expressed in one or a few related tissues and revealed that human adult tissues have unique miRNA profiles. This implicates miRNAs as important components of tissue development and differentiation. Taken together, these results emphasize the immense potential of microarrays for sensitive and high-throughput analysis of miRNA expression in normal and disease states.

Adult↗

PubMed2004

Patterns of flanking sequence conservation and a characteristic upstream motif for microRNA gene identification.

MicroRNAs are approximately 22-nucleotide (nt) RNAs processed from foldback segments of endogenous transcripts. Some are known to play important gene regulatory roles during animal and plant development by pairing to the messages of protein-coding genes to direct the post-transcriptional repression of these messages. Previously, we developed a computational method called MiRscan, which scores features related to the foldbacks, and used this algorithm to identify new miRNA genes in the nematode Caenorhabditis elegans. In the present study, to identify sequences that might be involved in processing or transcriptional regulation of miRNAs, we aligned sequences upstream and downstream of orthologous nematode miRNA foldbacks. These alignments showed a pronounced peak in sequence conservation about 200 bp upstream of the miRNA foldback and revealed a highly significant sequence motif, with consensus CTCCGCCC, that is present upstream of almost all independently transcribed nematode miRNA genes. Scoring the pattern of upstream/downstream conservation, the occurrence of this sequence motif, and orthology of host genes for intronic miRNA candidates, yielded substantial improvements in the accuracy of MiRscan. Nine new C. elegans miRNA gene candidates were validated using a PCR-sequencing protocol. As previously seen for bacterial RNA genes, sequence features outside of the RNA secondary structure can therefore be very useful for the computational identification of eukaryotic noncoding RNA genes. The total number of confidently identified nematode miRNAs now approaches 100. The improved analysis supports our previous assertion that miRNA gene identification is nearing completion in C. elegans with apparently no more than 20 miRNA genes now remaining to be identified.

Animals↗

PubMed2004

Sequence-specific inhibition of microRNA- and siRNA-induced RNA silencing.

A large number of miRNAs have recently been discovered in plants and animals. Development of reverse genetic approaches that act to inhibit microRNA function would facilitate the study of this new class of noncoding RNA. Here we show that 2'-O-methyl oligoribonucleotides, but not 2'-deoxyoligonucleotides specifically inactivate the RNAi activity associated with miRNA-protein complexes in human cell extracts as well as in cultured human cells.

Genes, Reporter↗

PubMed2004

Quantitation of microRNAs using a modified Invader assay.

The short lengths of microRNAs (miRNAs) present a significant challenge for detection and quantitation using conventional methods for RNA analysis. To address this problem, we developed a quantitative, sensitive, and rapid miRNA assay based on our previously described messenger RNA Invader assay. This assay was used successfully in the analysis of several miRNAs, using as little as 50-100 ng of total cellular RNA or as few as 1,000 lysed cells. Its specificity allowed for discrimination between miRNAs differing by a single nucleotide, and between precursor and mature miRNAs. The Invader miRNA assay, which can be performed in unfractionated detergent lysates, uses fluorescence detection in microtiter plates and requires only 2-3 h incubation time, allowing for parallel analysis of multiple samples in high-throughput screening analyses.

Base Sequence↗

PubMed2004

Probing microRNAs with microarrays: tissue specificity and functional inference.

MicroRNAs (miRNAs) are short, stable, noncoding RNAs involved in post-transcriptional gene silencing via hybridization to mRNA. Few have been thoroughly characterized in any species. Here, we describe a method to detect miRNAs using micro-arrays, in which the miRNAs are directly hybridized to the array. We used this method to analyze miRNA expression across 17 mouse organs and tissues. More than half of the 78 miRNAs detected were expressed in specific adult tissues, suggesting that miRNAs have widespread regulatory roles in adults. By comparing miRNA levels to mRNA levels determined in a parallel microarray analysis of the same tissues, we found that the expression of target mRNAs predicted on the basis of sequence complementarity is unrelated to the tissues in which the corresponding miRNA is expressed.

Animals↗

PubMed2004

Trans-splicing and polyadenylation of let-7 microRNA primary transcripts.

Members of the microRNA (miRNA) class of 22-nucleotide RNAs regulate the expression of target genes that contain sequences of antisense complementarity. Maturation of miRNAs involves cleavage of longer primary transcripts, but little is yet understood about how miRNA genes are transcribed and enter the processing pathway. We find that relatively long, polyadenylated transcripts encoded by the Caenorhabditis elegans let-7 gene undergo trans-splicing to the spliced leader 1 (SL1) RNA. Deletions, including removal of the trans-splice site, upstream of mature let-7 sequence result in stable accumulation of primary transcripts and compromised production of mature let-7 RNA in vivo. Our data show that multiple steps of let-7 miRNA biogenesis can be uncoupled, allowing for complex regulation in the production of a functional miRNA. Finally, the observation that let-7 primary transcripts undergo splicing highlights the importance of identifying the sequence of endogenous pri-miRNA substrates recognized by the cellular processing machinery.

Animals↗

PubMed2004

Human microRNAs are processed from capped, polyadenylated transcripts that can also function as mRNAs.

The factors regulating the expression of microRNAs (miRNAs), a ubiquitous family of approximately 22-nt noncoding regulatory RNAs, remain undefined. However, it is known that miRNAs are first transcribed as a largely unstructured precursor, termed a primary miRNA (pri-miRNA), which is sequentially processed in the nucleus, to give the approximately 65-nt pre-miRNA hairpin intermediate, and then in the cytoplasm, to give the mature miRNA. Here we have sought to identify the RNA polymerase responsible for miRNA transcription and to define the structure of a full-length human miRNA. We show that the pri-miRNA precursors for nine human miRNAs are both capped and polyadenylated and report the sequence of the full-length, approximately 3433-nt pri-miR-21 RNA. This pri-miR-21 gene sequence is flanked 5' by a promoter element able to transcribe heterologous mRNAs and 3' by a consensus polyadenylation sequence. Nuclear processing of pri-miRNAs was found to be efficient, thus largely preventing the nuclear export of full-length pri-miRNAs. Nevertheless, an intact miRNA stem-loop precursor located in the 3' UTR of a protein coding gene only moderately inhibited expression of the linked open reading frame, probably because the 3' truncated mRNA could still be exported and expressed. Together, these data show that human pri-miRNAs are not only structurally similar to mRNAs but can, in fact, function both as pri-miRNAs and mRNAs.

Base Sequence↗

PubMed2006

MicroRNA and 3T3-L1 pre-adipocyte differentiation.

MicroRNAs (miRNAs) have been suggested to play important roles in cell proliferation, apoptosis, and differentiation. In this study, we examined miRNA expression profiles during 3T3-L1 pre-adipocyte differentiation. We constructed miRNA libraries from pre- and post-differentiated 3T3-L1 cells, and identified the expression of 77 previously reported miRNAs and 3 new miRNAs. Next, we investigated the expression levels of 102 miRNAs, including those identified in the libraries, during adipogenesis by Northern blot analysis. Sixty-five miRNAs were detected and the expression of 21 miRNAs was up- or down-regulated during adipogenesis. Intriguingly, changes in the miRNA expression pattern were observed at day 9, when lipid droplets were visible, but not at days 1, 2, or 5 after the induction of differentiation. Antisense inhibition of the up-regulated miRNAs did not affect 3T3-L1 pre-adipocyte differentiation. Although these miRNAs may be involved in modulating adipocyte function, mild down-modulations of the up-regulated miRNAs do not appear to affect 3T3-L1 pre-adipocyte differentiation.

3T3-L1 Cells↗

PubMed2003

Identification of Drosophila MicroRNA targets.

MicroRNAs (miRNAs) are short RNA molecules that regulate gene expression by binding to target messenger RNAs and by controlling protein production or causing RNA cleavage. To date, functions have been assigned to only a few of the hundreds of identified miRNAs, in part because of the difficulty in identifying their targets. The short length of miRNAs and the fact that their complementarity to target sequences is imperfect mean that target identification in animal genomes is not possible by standard sequence comparison methods. Here we screen conserved 3' UTR sequences from the Drosophila melanogaster genome for potential miRNA targets. The screening procedure combines a sequence search with an evaluation of the predicted miRNA-target heteroduplex structures and energies. We show that this approach successfully identifies the five previously validated let-7, lin-4, and bantam targets from a large database and predict new targets for Drosophila miRNAs. Our target predictions reveal striking clusters of functionally related targets among the top predictions for specific miRNAs. These include Notch target genes for miR-7, proapoptotic genes for the miR-2 family, and enzymes from a metabolic pathway for miR-277. We experimentally verified three predicted targets each for miR-7 and the miR-2 family, doubling the number of validated targets for animal miRNAs. Statistical analysis indicates that the best single predicted target sites are at the border of significance; thus, target predictions should be considered as tentative until experimentally validated. We identify features shared by all validated targets that can be used to evaluate target predictions for animal miRNAs. Our initial evaluation and experimental validation of target predictions suggest functions for two miRNAs. For others, the screen suggests plausible functions, such as a role for miR-277 as a metabolic switch controlling amino acid catabolism. Cross-genome comparison proved essential, as it allows reduction of the sequence search space. Improvements in genome annotation and increased availability of cDNA sequences from other genomes will allow more sensitive screens. An increase in the number of confirmed targets is expected to reveal general structural features that can be used to improve their detection. While the screen is likely to miss some targets, our study shows that valid targets can be identified from sequence alone.

3' Untranslated Regions↗

PubMed2004

Human MicroRNA targets.

MicroRNAs (miRNAs) interact with target mRNAs at specific sites to induce cleavage of the message or inhibit translation. The specific function of most mammalian miRNAs is unknown. We have predicted target sites on the 3' untranslated regions of human gene transcripts for all currently known 218 mammalian miRNAs to facilitate focused experiments. We report about 2,000 human genes with miRNA target sites conserved in mammals and about 250 human genes conserved as targets between mammals and fish. The prediction algorithm optimizes sequence complementarity using position-specific rules and relies on strict requirements of interspecies conservation. Experimental support for the validity of the method comes from known targets and from strong enrichment of predicted targets in mRNAs associated with the fragile X mental retardation protein in mammals. This is consistent with the hypothesis that miRNAs act as sequence-specific adaptors in the interaction of ribonuclear particles with translationally regulated messages. Overrepresented groups of targets include mRNAs coding for transcription factors, components of the miRNA machinery, and other proteins involved in translational regulation, as well as components of the ubiquitin machinery, representing novel feedback loops in gene regulation. Detailed information about target genes, target processes, and open-source software for target prediction (miRanda) is available at http://www.microrna.org. Our analysis suggests that miRNA genes, which are about 1% of all human genes, regulate protein production for 10% or more of all human genes.

3' Untranslated Regions↗

PubMed2005

Principles of microRNA-target recognition.

MicroRNAs (miRNAs) are short non-coding RNAs that regulate gene expression in plants and animals. Although their biological importance has become clear, how they recognize and regulate target genes remains less well understood. Here, we systematically evaluate the minimal requirements for functional miRNA-target duplexes in vivo and distinguish classes of target sites with different functional properties. Target sites can be grouped into two broad categories. 5' dominant sites have sufficient complementarity to the miRNA 5' end to function with little or no support from pairing to the miRNA 3' end. Indeed, sites with 3' pairing below the random noise level are functional given a strong 5' end. In contrast, 3' compensatory sites have insufficient 5' pairing and require strong 3' pairing for function. We present examples and genome-wide statistical support to show that both classes of sites are used in biologically relevant genes. We provide evidence that an average miRNA has approximately 100 target sites, indicating that miRNAs regulate a large fraction of protein-coding genes and that miRNA 3' ends are key determinants of target specificity within miRNA families.

3' Untranslated Regions↗

PubMed2005

Processing of pre-microRNAs by the Dicer-1-Loquacious complex in Drosophila cells.

microRNAs (miRNAs) are a large family of 21- to 22-nucleotide non-coding RNAs that interact with target mRNAs at specific sites to induce cleavage of the message or inhibit translation. miRNAs are excised in a stepwise process from primary miRNA (pri-miRNA) transcripts. The Drosha-Pasha/DGCR8 complex in the nucleus cleaves pri-miRNAs to release hairpin-shaped precursor miRNAs (pre-miRNAs). These pre-miRNAs are then exported to the cytoplasm and further processed by Dicer to mature miRNAs. Here we show that Drosophila Dicer-1 interacts with Loquacious, a double-stranded RNA-binding domain protein. Depletion of Loquacious results in pre-miRNA accumulation in Drosophila S2 cells, as is the case for depletion of Dicer-1. Immuno-affinity purification experiments revealed that along with Dicer-1, Loquacious resides in a functional pre-miRNA processing complex, and stimulates and directs the specific pre-miRNA processing activity. These results support a model in which Loquacious mediates miRNA biogenesis and, thereby, the expression of genes regulated by miRNAs.

Amino Acid Sequence↗

PubMed2005

Normal microRNA maturation and germ-line stem cell maintenance requires Loquacious, a double-stranded RNA-binding domain protein.

microRNAs (miRNAs) are single-stranded, 21- to 23-nucleotide cellular RNAs that control the expression of cognate target genes. Primary miRNA (pri-miRNA) transcripts are transformed to mature miRNA by the successive actions of two RNase III endonucleases. Drosha converts pri-miRNA transcripts to precursor miRNA (pre-miRNA); Dicer, in turn, converts pre-miRNA to mature miRNA. Here, we show that normal processing of Drosophila pre-miRNAs by Dicer-1 requires the double-stranded RNA-binding domain (dsRBD) protein Loquacious (Loqs), a homolog of human TRBP, a protein first identified as binding the HIV trans-activator RNA (TAR). Efficient miRNA-directed silencing of a reporter transgene, complete repression of white by a dsRNA trigger, and silencing of the endogenous Stellate locus by Suppressor of Stellate, all require Loqs. In loqs(f00791) mutant ovaries, germ-line stem cells are not appropriately maintained. Loqs associates with Dcr-1, the Drosophila RNase III enzyme that processes pre-miRNA into mature miRNA. Thus, every known Drosophila RNase-III endonuclease is paired with a dsRBD protein that facilitates its function in small RNA biogenesis.

Alternative Splicing↗

PubMed2006

Translation repression in human cells by microRNA-induced gene silencing requires RCK/p54.

RNA interference is triggered by double-stranded RNA that is processed into small interfering RNAs (siRNAs) by Dicer enzyme. Endogenously, RNA interference triggers are created from small noncoding RNAs called microRNAs (miRNAs). RNA-induced silencing complexes (RISC) in human cells can be programmed by exogenously introduced siRNA or endogenously expressed miRNA. siRNA-programmed RISC (siRISC) silences expression by cleaving a perfectly complementary target mRNA, whereas miRNA-induced silencing complexes (miRISC) inhibits translation by binding imperfectly matched sequences in the 3' UTR of target mRNA. Both RISCs contain Argonaute2 (Ago2), which catalyzes target mRNA cleavage by siRISC and localizes to cytoplasmic mRNA processing bodies (P-bodies). Here, we show that RCK/p54, a DEAD box helicase, interacts with argonaute proteins, Ago1 and Ago2, in affinity-purified active siRISC or miRISC from human cells; directly interacts with Ago1 and Ago2 in vivo, facilitates formation of P-bodies, and is a general repressor of translation. Disrupting P-bodies by depleting Lsm1 did not affect RCK/p54 interactions with argonaute proteins and its function in miRNA-mediated translation repression. Depletion of RCK/p54 disrupted P-bodies and dispersed Ago2 throughout the cytoplasm but did not significantly affect siRNA-mediated RNA functions of RISC. Depleting RCK/p54 released general, miRNA-induced, and let-7-mediated translational repression. Therefore, we propose that translation repression is mediated by miRISC via RCK/p54 and its specificity is dictated by the miRNA sequence binding multiple copies of miRISC to complementary 3' UTR sites in the target mRNA. These studies also suggest that translation suppression by miRISC does not require P-body structures, and location of miRISC to P-bodies is the consequence of translation repression.

3' Untranslated Regions↗

PubMed2024

Use of extracellular vesicle microRNA profiles in patients with acute myeloid leukemia for the identification of novel biomarkers.

OBJECTIVES: This study aimed to establish clinically significant microRNA (miRNA) sets using extracellular vesicles (EVs) from bone marrow (BM) aspirates of patients with acute myelogenous leukemia (AML), and to identify the genes that interact with these EV-derived miRNAs in AML. MATERIALS AND METHODS: BM aspirates were collected from 32 patients with AML at the time of AML diagnosis. EVs were isolated using size-exclusion chromatography. A total of 965 EV-derived miRNAs were identified in all the samples. RESULTS: We analyzed the expression levels of these EV-derived miRNAs of the favorable (n = 10) and non-favorable (n = 22) risk groups; we identified 32 differentially expressed EV-derived miRNAs in the non-favorable risk group. The correlation of these miRNAs with risk stratification and patient survival was analyzed using the information of patients with AML from The Cancer Genome Atlas (TCGA) database. Of the miRNAs with downregulated expression in the non-favorable risk group, hsa-miR-181b and hsa-miR-143 were correlated with non-favorable risk and short overall survival. Regarding the miRNAs with upregulated expression in the non-favorable risk group, hsa-miR-188 and hsa-miR-501 were correlated with non-favorable risk and could predict poor survival. Through EV-derived miRNAs-mRNA network analysis using TCGA database, we identified 21 mRNAs that could be potential poor prognosis biomarkers. CONCLUSIONS: Overall, our findings revealed that EV-derived miRNAs can serve as biomarkers for risk stratification and prognosis in AML. In addition, these EV-derived miRNA-based bioinformatic analyses could help efficiently identify mRNAs with biomarker potential, similar to the previous cell-based approach.

Humans↗

PubMed2026

First insights into the miRNA landscape of Tursiops truncatus milk reveal shared dominant microRNA families with terrestrial mammals.

MicroRNAs (miRNAs) are small non-coding RNAs that play crucial regulatory roles in gene expression in metazoans. While the miRNA repertoire and relative abundances have been extensively studied in terrestrial mammals, no information was available for the milk of marine mammals. Here, we present the first characterization of the miRNA genomic landscape and abundance in milk in the bottlenose dolphin (Tursiops truncatus). Using a sequence-based comparative approach, we identified 186 conserved miRNA families comprising 354 high-confidence precursors in the dolphin genome. Comparative analysis across 52 cetacean genomes revealed a small number of lineage-specific loss events, such as mir-187 in Delphinidae, and the absence of nine miRNA families in all cetaceans. Small RNA sequencing from pooled milk samples confirmed the detectable abundance of 119 miRNAs, with a landscape dominated by mir-148, let-7, mir-8, and mir-21, collectively accounting for over 70% of total miRNA reads. These dominant families include miRNAs frequently reported in the milk of terrestrial mammals, suggesting qualitative similarity in the major milk miRNA repertoire between dolphin and terrestrial mammals. These findings should be interpreted as a first sequencing-supported exploratory characterization of dolphin milk miRNAs.

Animals↗