Ontology highlight
ABSTRACT:
PROVIDER: PRJEB52348 | ENA |
REPOSITORIES: ENA
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Project description:To reveal the potential regulation target genes of miR-26a and miR-23a/b clusters in articular chondrocytes, we performed a multi-omics analysis of LC-MSMS and RNA-seq using cultured chondrocytes samples, which were primarily isolated from 3-week-old wild-type, miR-26a -/- (with or without miR-26a mimic transfection afterwards) or miR-23a/b cluster flox/flox;Col2a1-cre mice. For LC-MSMS, protein from TRIZOL reagent was extracted, nanoLC-MSMS was performed. An expression list was made to further explore the regulation targets of miR-26a and miR-23a/b clusters.
2023-01-25 | PXD031868 | Pride
Project description:Solexa/Illumina deep sequencing was used to obtain miRNA transcriptome profiles for control (basal diet, 14.49% crude protein, 13.73 MJ/kg digestible energy, 0.86% available lysine) and traditional Chinese medicine formula (basal diet+2.5 g/kg traditional Chinese medicine formula) groups. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis was performed using DAVID functional annotation to identify the biological process function of the miRNAs identified as being involved in muscle fiber regulation. We detected 269 mature miRNAs and 14 pre-miRNAs in the porcine muscle samples, of which 211 were previously unreported. Pathway analyses suggested that several independent signaling pathways were involved in the biological process, cellular component, and molecular function categories, with metabolic pathways showing the most enrichment and including some pathways involved in the regulation of muscle fiber phenotype such as mitogen-activated protein kinase (MAPK), mammalian target of rapamycin, and citrate cycle signaling pathways. Thirty-seven miRNAs exhibited normalized expression of over 10,000 reads per million, accounting for 85.91% of the overall counts of the total porcine mature miRNAs. Among these, 9 were muscle-related miRNAs involved in muscle development, including skeletal satellite cell (ssc)-miR-133a-3p, ssc-miR-486, ssc-miR-26a, ssc-miR-21, ssc-miR-1, ssc-miR-10b, ssc-miR-181a, ssc-miR-128, and ssc-miR-23a. In particular, miR-1 and miR-133 are muscle-specific miRNAs, termed myomiRs, which play an important role in muscle differentiation and development. Furthermore, porcine skeletal satellite cell transfection experiments indicated that overexpression or inhibition of ssc-miR-27a repressed or increased, respectively, MYH7 gene and protein expression through the PGC-1-MEF2C pathway, suggesting that miR-27a participated in the regulation of muscle fiber in skeletal muscle. In conclusion, these miRNAome profiles provide novel insight into the mechanism underlying muscle fiber regulation.
2017-04-07 | GSE80069 | GEO
Project description:We developed scalable radiation dosimeter based on non-coding miR-150 (radiation sensitive) normalized to endogenous miR-23a (radiation insensitive). This nanoString assay revealed the expression of miR-150 and miR-23a in normal healthy volunteers serum blood cell subsets.
2020-07-15 | GSE116880 | GEO
Project description:The identification of the molecular mechanisms regulating pathways associated to the potential of fat deposition in pigs can lead to the detection of key genes and markers for the genetic improvement of fat traits. MicroRNAs (miRNAs) interactions with target RNAs regulate gene expression and modulate pathway activation in cells and tissues. In pigs, miRNA discovery is well far from saturation and the knowledge of miRNA expression in backfat tissue and particularly of the impact of miRNA variations are still fragmentary. We characterized by RNA-seq the small RNAs (sRNAs) expression profiles in Italian Large White pig backfat tissue. Comparing two groups of pigs divergent for backfat deposition, we detected 31 significant differentially expressed (DE) sRNAs, 14 up-regulated (including ssc-miR-132 ,ssc-miR-146b, ssc-miR-221-5p, ssc-miR-365-5p, and the moRNA ssc-moR-21-5p) and 17 down-regulated (including ssc-miR-136, ssc-miR-195, ssc-miR-199a-5p, and ssc-miR-335). To understand the biological impact of the observed miRNA expression variations, we used the expression correlation of DE miRNA target transcripts expressed in the same samples to define a regulatory network of 193 interactions between DE miRNAs and 40 DE target transcripts showing opposite expression profiles and being involved in specific pathways. Several miRNAs and mRNAs in the network resulted to be expressed from backfat related pig QTLs. These results are informative on the complex mechanisms influencing fat traits, shed light on a new aspect of the genetic regulation of fat deposition in pigs, and facilitate the perspective implementation of innovative strategies of pig genetic improvement based on genomic markers.
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