			Home About us Contact

miRNA Sequences (mirna + sequence)

Distribution by Scientific Domains

Life Sciences	60%

Selected Abstracts

Nuclear factor TDP-43 can affect selected microRNA levels

FEBS JOURNAL, Issue 10 2010
Emanuele Buratti
TDP-43 has recently been described as the major component of the inclusions found in the brain of patients with a variety of neurodegenerative diseases, such as frontotemporal lobar degeneration and amyotrophic lateral sclerosis. TDP-43 is a ubiquitous protein whose specific functions are probably crucial to establishing its pathogenic role. Apart from its involvement in transcription, splicing and mRNA stability, TDP-43 has also been described as a Drosha-associated protein. However, our knowledge of the role of TDP-43 in the microRNA (miRNA) synthesis pathway is limited to the association mentioned above. Here we report for the first time which changes occur in the total miRNA population following TDP-43 knockdown in culture cells. In particular, we have observed that let-7b and miR-663 expression levels are down- and upregulated, respectively. Interestingly, both miRNAs are capable of binding directly to TDP-43 in different positions: within the miRNA sequence itself (let-7b) or in the hairpin precursor (miR-663). Using microarray data and real-time PCR we have also identified several candidate transcripts whose expression levels are selectively affected by these TDP-43,miRNA interactions. [source]

PerioGlas® Regulates Osteoblast RNA Interfering

JOURNAL OF PROSTHODONTICS, Issue 7 2008
Annalisa Palmieri PhD
Abstract Purpose: PerioGlas® (PG) is an alloplastic material that has been used for grafting periodontal osseous defects since the 1990s. In animal models, it has been proven that PG achieves histologically good repairs of surgically created defects. In clinical trials, PG is effective as an adjunct to conventional surgery in the treatment of intrabony defects; however, how PG alters osteoblast activity to promote bone formation is poorly understood. We therefore attempted to address this question by using microRNA (miRNA) microarray techniques to investigate the translation process in osteoblasts exposed to PG. Materials and Methods: By using miRNA microarrays containing 329 probes designed from human miRNA sequences, we identified several miRNA whose expression was significantly modified in osteoblast-like cell lines (MG-63) cultured with PG. Results: There were ten up-regulated miRNA (mir-337, mir-377, mir-9, mir-516, mir-515-3p, mir-496, mir-200b, mir-489, mir-25, mir-423) and two down-regulated miRNA (mir-26a, mir-30d). Conclusion: PG acts on miRNAs, which in turn regulate several messengers. Among them there are mRNAs related to bone formation and skeletal and cartilage development. The vast majority of detected genes are down-regulated, and some are homeobox genes like NOG, EN1, and CHRD. Other down-regulated genes are receptors (like GHRHR) and extracellular matrix proteins (like COMP). Although the exact mechanism of PG action on osteoblasts is still incompletely understood, these data demonstrate that PG has not only an osteoconductive effect, but also regulates bone formation. [source]

MicroRNA expression profiles of porcine skeletal muscle

ANIMAL GENETICS, Issue 5 2010
B. Zhou
Summary MicroRNAs (miRNAs) are endogenous non-coding RNAs of ,22 nucleotides in length that play important roles in multiple biological processes by degrading targeted mRNAs or repressing mRNA translation. To evaluate the roles of miRNA in porcine skeletal muscle, miRNA expression profiles were investigated using longissimus muscle tissue from pigs at embryonic day 90 (E90) and postpartum day 120 (PD120). First, we used previously known miRNA sequences from humans and mice to perform blast searches against the porcine expressed sequence tag (EST) database; 98 new miRNA candidates were identified according to a range of filtering criteria. These miRNA candidates and 73 known miRNAs (miRBase 13.0) from pigs were chosen for porcine miRNA microarray analysis. A total of 16 newly identified miRNAs and 31 previously known miRNAs were detected in porcine skeletal muscle tissues. During later foetal development at E90, miR-1826, miR-26a, miR-199b and let-7 were highly expressed, whilst miR-1a, miR-133a, miR-26a and miR-1826 showed highest abundance during the fast growing stage at PD120. Using the 47 miRNAs detected by the microarray assay, we performed further investigations using the publicly available porcine mRNA database from NCBI and computed potential target hits using the software rnahybrid. This study identified 16 new miRNA candidates, computed potential target hits for 18 miRNA families and determined the miRNA expression profiles in porcine skeletal muscle tissues at different developmental stages. These results provide a valuable resource for investigators interested in post-transcriptional gene regulation in pigs and related animals. [source]

Computational identification of new porcine microRNAs and their targets

ANIMAL SCIENCE JOURNAL, Issue 3 2010
Bo ZHOU
ABSTRACT MicroRNAs (miRNAs) represent a newly identified class of non-protein-coding ,22 nt small RNAs which play important roles in multiple biological processes by degrading targeted mRNAs or repressing mRNA translation. Here we present an expressed sequence tag (EST)-based combined approach for the detection of novel porcine miRNAs. This was initiated by using previously known miRNA sequences from Homo sapiens (human) and Mus musculus (mouse) to blast the databases of Sus scrofa (pig) EST. A total of 65 new miRNAs were detected following a range of filtering criteria. Using these new potential miRNA sequences, we further obtained the publicly available porcine mRNA database from NCBI and detected 48 586 potential target hits using a software RNA hybrid. So far, compared to human and mouse, fewer miRNAs (only 54 miRNAs) were identified in Sus scrofa species. These 65 new miRNAs and their targets in pig have been run through miRHelper to yield data that may help us better understand the possible role of miRNAs in regulating the growth and development of pigs. These findings suggest that EST analysis is a good alternative strategy for identifying new miRNA candidates, their targets and other genes. [source]