Dataset Information

MicroRNA identity and abundance in porcine skeletal muscles determined by deep sequencing

ABSTRACT: MicroRNAs (miRNA) are short single-stranded RNA molecules that regulate gene expression post-transcriptionally by binding to complementary sequences in the 3' untranslated region (3' UTR) of target mRNAs. MiRNAs participate in the regulation of myogenesis, and identification of the complete set of miRNAs expressed in muscles is likely to significantly increase our understanding of muscle growth and development. To determine the identity and abundance of miRNA in porcine skeletal muscle, we applied a deep sequencing approach. This allowed us to identify the sequences and relative expression levels of 212 annotated miRNA genes, thereby providing a thorough account of the miRNA transcriptome in porcine muscle tissue. The expression levels displayed a very large range, as reflected by the number of sequence reads, which varied from single counts for rare miRNAs to several million reads for the most abundant miRNAs. Moreover, we identified numerous examples of mature miRNAs that were derived from opposite sides of the same predicted precursor stem-loop structures, and also observed length and sequence heterogeneity at the 5' and 3' ends. Furthermore, KEGG pathway analysis suggested that highly expressed miRNAs are involved in skeletal muscle development and regeneration, signal transduction, cell-cell and cell-extracellular matrix communication and neural development and function.

ORGANISM(S): Sus scrofa

PROVIDER: GSE14584 | GEO | 2009/11/24

SECONDARY ACCESSION(S): PRJNA111701

REPOSITORIES: GEO

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Project description:MicroRNAs (miRNA) are short single-stranded RNA molecules that regulate gene expression post-transcriptionally by binding to complementary sequences in the 3' untranslated region (3' UTR) of target mRNAs. MiRNAs participate in the regulation of myogenesis, and identification of the complete set of miRNAs expressed in muscles is likely to significantly increase our understanding of muscle growth and development. To determine the identity and abundance of miRNA in porcine skeletal muscle, we applied a deep sequencing approach. This allowed us to identify the sequences and relative expression levels of 212 annotated miRNA genes, thereby providing a thorough account of the miRNA transcriptome in porcine muscle tissue. The expression levels displayed a very large range, as reflected by the number of sequence reads, which varied from single counts for rare miRNAs to several million reads for the most abundant miRNAs. Moreover, we identified numerous examples of mature miRNAs that were derived from opposite sides of the same predicted precursor stem-loop structures, and also observed length and sequence heterogeneity at the 5' and 3' ends. Furthermore, KEGG pathway analysis suggested that highly expressed miRNAs are involved in skeletal muscle development and regeneration, signal transduction, cell-cell and cell-extracellular matrix communication and neural development and function. Examination of small RNA profiles in 7 isolates of porcine muscle The raw sequences were trimmed to 30 nucleotides, and it was set as a requirement that any sequence must appear at least three times and be present in at least two of the seven libraries. All identical reads within a library were grouped and converted into unique sequences. Reads containing Ns or long tracks (M-BM-!M-CM-^]8) of As were removed and the sequences were trimmed for adaptor-sequences. To annotate the unique sequences, a Decypher Tera-BLASTN Search was performed against a database of mature miRNAs obtained from miRBase (release 12.0). Hits with a match of 16 or more nucleotides to a miRNA from the database were gathered, and the count of each miRNA was normalized to the total number of sequence reads per lane. The outcome of this procedure can be seen in the Aarhus_University_GBI_FC208D2AAXX_blast_mirbase table below.

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.

Project description:Sus scrofa (pig, or swine) is one of the most important economic animals and a close biological model for complex human diseases such as obesity and diabetes. It is therefore utterly important to decode the porcine microRNAome (miRNAome) as in the literature only a small portion of it is known. In this work, a comprehensive search for porcine microRNAs (miRNAs) by Illumina sequencing was performed in ten small RNA libraries prepared from mixtures of assorted tissues, which included those collected from fetuses to adult pigs. The millions of the sequencing reads were analyzed with reference to 77 known porcine miRNA precursors (pre-miRNAs) and 3,443 distinct pre-miRNAs of other mammals listed in miRBase 13.0, and the most updated porcine genome (Sscrofa9, April 2009) and available EST sequences. Additionally, miRNA candidates specific to pig are predicated by genome & EST match and hairpin folding. Our search found 72 out of 78 (~92%) known porcine miRNAs and miRNA*s, and 36 previously unannotated miRNA*s are also indentified. Furthermore, we discovered 397 novel miRNAs by mapping to the sequencing transcripts to other mammalian pre-miRNAs and 493 candidate miRNAs which do not map to other mammalian miRNAomes and could be pig-specific. We constructed sequence- and genome-position clusters for the total of 998 miRNA candidates originating from 862 pre-miRNAs, which represent 777 unique miRNA sequences. Together with the six known porcine miRNAs that not been observed in our study, we report herein the sequence families of 783 unique miRNAs and genomic distribution patterns of 622 pre-miRNAs. We preformed q-PCR experiments for selected 30 miRNAs in 47 tissue-specific samples and found agreement between the sequencing data and the q-PCR data. We envision that our report will serve as a valuable resource for future studies aimed at understanding miRNAome of pig Ten small RNA libraries from samples of porcine fetuses (30 days after insemination) to mixed tissues (180 days after birth) at ten developmental stages were sequenced.

Project description:Purpose: MicroRNAs (miRNAs) are non-coding small miRNA ~22 nucleotides in length and play a vital role in muscle development by binding to messenger RNAs (mRNAs). Large White (LW, a lean type pig) and Meishan pigs (MS, a Chinese indigenous obese breed) have significant postnatal phenotype differences in growth rate, muscle mass and meat quality, and theses difference are programmed during prenatal muscle development.To shed directly light on the miRNA transcriptome difference in prenatal muscles between these two distinct pig breeds. Methods: skeletal musle miRNA profiles of Meishan pig and large white pig were generated by deep sequencing, in triplicate, using Illumina Hiseq2000 . The sequence reads that passed quality filters were analyzed at the mature miRNA level . qRT–PCR validation was performed using TaqMan and SYBR Green assays Results: We measure the myofiber phenotypes of LW and MS at developmental stages of 35, 55 and 90 days post-conception (dpc). Results shows that the myogenesis process is more intense in MS than in LW at 35 dpc. To investigate the role of miRNAs involved in regulating muscle development at earlier stages of myogenesis and decipher the miRNAs transcriptome difference between LW and MS, here, the miRNAomes of longissimus dorsi muscle collected at 35 dpc from female LW and MS were analyzed by deep sequencing. Overall, we identified 1147 unique miRNAs comprising 434 known miRNAs, 239 conserved miRNAs and 474 candidate miRNAs. Expression analysis of the 10 most abundant miRANs in every library indicated that functional miRNAome may be smaller and tend to be highly expressed. These set of miRNA may play house keeping roles that were involved in myogenesis. A total of 87 miRNAs were significantly differentially expressed between LW and MS (reads > 1000, P < 0.05). Gene ontology (GO) and KEGG pathway enrichment analysis revealed that the differentially expressed miRNAs (DE miRNAs) were associated mainly with muscle contraction, WNT, mTOR, and MAPK signaling pathways. In addition, the expression patterns of myomiRs (miR-1,-133,-206) at three prenatal stages (35,55 and 90 dpc) were determined using qRT-PCR, Notably, ssc-miR-133 was significantly more highly expressed in LW pig skeletal muscle at all prenatal stages compared with its expression in LW pig skeletal muscle. We concluded that the higher expression levels of miR-133 in MS, possibly regulated by myoD, are potential strategies for improvement of myogenesis in earlier prenatal stages. Conclusions: our results add new information to existing data on porcine miRNAs and be helpful to investigate the dominant (main functional) muscle-related miRNAs sets in different pig breeds. In addition, this study provide a profound knowledge on the role of miRNAs in prenatal muscle development, which could provide great reference value for pork quality improvement.

Project description:Proctor2017 - Identifying microRNA for muscle regeneration during ageing (Mirs_in_muscle) This model is described in the article: Using computer simulation models to investigate the most promising microRNAs to improve muscle regeneration during ageing Carole J. Proctor & Katarzyna Goljanek-Whysall Nature Scientific Reports Abstract: MicroRNAs (miRNAs) regulate gene expression through interactions with target sites within mRNAs, leading to enhanced degradation of the mRNA or inhibition of translation. Skeletal muscle expresses many different miRNAs with important roles in adulthood myogenesis (regeneration) and myofibre hypertrophy and atrophy, processes associated with muscle ageing. However, the large number of miRNAs and their targets mean that a complex network of pathways exists, making it difficult to predict the effect of selected miRNAs on age-related muscle wasting. Computational modelling has the potential to aid this process as it is possible to combine models of individual miRNA:target interactions to form an integrated network. As yet, no models of these interactions in muscle exist. We created the first model of miRNA:target interactions in myogenesis based on experimental evidence of individual miRNAs which were next validated and used to make testable predictions. Our model confirms that miRNAs regulate key interactions during myogenesis and can act by promoting the switch between quiescent/proliferating/differentiating myoblasts and by maintaining the differentiation process. We propose that a threshold level of miR-1 acts in the initial switch to differentiation, with miR-181 keeping the switch on and miR-378 maintaining the differentiation and miR-143 inhibiting myogenesis. This model is hosted on BioModels Database and identified by: MODEL1704110004. To cite BioModels Database, please use: Chelliah V et al. BioModels: ten-year anniversary. Nucl. Acids Res. 2015, 43(Database issue):D542-8. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Proctor2017 - Identifying microRNA for muscle regeneration during ageing (Mir181_in_muscle) This model is described in the article: Using computer simulation models to investigate the most promising microRNAs to improve muscle regeneration during ageing Carole J. Proctor & Katarzyna Goljanek-Whysall Scientific Reports Abstract: MicroRNAs (miRNAs) regulate gene expression through interactions with target sites within mRNAs, leading to enhanced degradation of the mRNA or inhibition of translation. Skeletal muscle expresses many different miRNAs with important roles in adulthood myogenesis (regeneration) and myofibre hypertrophy and atrophy, processes associated with muscle ageing. However, the large number of miRNAs and their targets mean that a complex network of pathways exists, making it difficult to predict the effect of selected miRNAs on age-related muscle wasting. Computational modelling has the potential to aid this process as it is possible to combine models of individual miRNA:target interactions to form an integrated network. As yet, no models of these interactions in muscle exist. We created the first model of miRNA:target interactions in myogenesis based on experimental evidence of individual miRNAs which were next validated and used to make testable predictions. Our model confirms that miRNAs regulate key interactions during myogenesis and can act by promoting the switch between quiescent/proliferating/differentiating myoblasts and by maintaining the differentiation process. We propose that a threshold level of miR-1 acts in the initial switch to differentiation, with miR-181 keeping the switch on and miR-378 maintaining the differentiation and miR-143 inhibiting myogenesis. This model is hosted on BioModels Database and identified by: MODEL1704110001. To cite BioModels Database, please use: Chelliah V et al. BioModels: ten-year anniversary. Nucl. Acids Res. 2015, 43(Database issue):D542-8. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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MicroRNA identity and abundance in porcine skeletal muscles determined by deep sequencing

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