Discovery of porcine miRNA‐196a/b may influence porcine adipogenesis in longissimus dorsi muscle by miRNA sequencing

Intramuscular fat (IMF) is one of the fat traits that has economic importance in the pork industry. Longissimus dorsi muscle contains IMF and is suitable for studying adipogenesis. To discover further potential regulatory miRNAs that may influence adipogenesis, we analyzed miRNA in the longissimus dorsi muscle of Yorkshire (YY, lean‐type) and Chinese Wannanhua (WH, fatty) pigs using miRNA sequencing (miRNA‐seq). From this dataset, we identified 598 unique miRNAs comprising 325 pre‐miRNAs and 273 novel pre‐miRNAs through comparison with known miRNAs in miRBase version 21. We found 42 miRNAs including nine up‐ and 33 down‐regulated between the YY and WH pigs. Moreover, we found two miRNAs, miR‐196a/b (miR‐196a, miR‐196b‐5p), that had the highest level of expression in WH pigs, and miR‐196a/b may influence porcine adipogenesis in longissimus dorsi muscle through an adipocytokine signaling pathway.     

Identification and Characteristics of Cattle MicroRNAs by Homology Searching and Small RNA Cloning

MicroRNAs (miRNA) are a class of noncoding RNA molecules that regulate gene expression by an RNA-interfering pathway through cleavage or inhibition of the translation of target mRNA. The 254 cattle miRNA candidates found by homology searching frequently clustered at certain chromosomes, and some are possibly expressed from more than one genomic locus. They were partially verified by cloning from a small cattle RNA library, where 31 distinct miRNAs were identified: 18 previously registered in the database of miRBase, 11 novel and homologous to known mammalian miRNAs, and 2 potentially novel without homology to any known miRNAs. Partial miRNA expression was detected by RT-PCR in cattle tissues, such as brain, liver, lung, and heart; some were expressed in all tissues and others in a specific tissue. Sequence alignments revealed that many had end variants, most of which differed in the 3′ end; a small number differed in the 5′ end. This indicates that the same miRNA gene can be individually modified in the process of miRNA biogenesis and could have a different role in regulating target gene expression.     

Next-generation sequencing of the Chinese hamster ovary microRNA transcriptome: Identification, annotation and profiling of microRNAs as targets for cellular engineering

Chinese hamster ovary (CHO) cells are the predominant cell factory for the production of recombinant therapeutic proteins. Nevertheless, the lack in publicly available sequence information is severely limiting advances in CHO cell biology, including the exploration of microRNAs (miRNA) as tools for CHO cell characterization and engineering. In an effort to identify and annotate both conserved and novel CHO miRNAs in the absence of a Chinese hamster genome, we deep-sequenced small RNA fractions of 6 biotechnologically relevant cell lines and mapped the resulting reads to an artificial reference sequence consisting of all known miRNA hairpins. Read alignment patterns and read count ratios of 5' and 3' mature miRNAs were obtained and used for an independent classification into miR/miR* and 5p/3p miRNA pairs and discrimination of miRNAs from other non-coding RNAs, resulting in the annotation of 387 mature CHO miRNAs. The quantitative content of next-generation sequencing data was analyzed and confirmed using qPCR, to find that miRNAs are markers of cell status. Finally, cDNA sequencing of 26 validated targets of miR-17-92 suggests conserved functions for miRNAs in CHO cells, which together with the now publicly available sequence information sets the stage for developing novel RNAi tools for CHO cell engineering.     

Transposable element-associated microRNA hairpins produce 21-nt sRNAs integrated into typical microRNA pathways in rice

microRNAs (miRNAs) are a class of small RNAs (sRNAs) of ～21 nucleotides (nt) in length processed from foldback hairpins by DICER-LIKE1 (DCL1) or DCL4. They regulate the expression of target mRNAs by base pairing through RNA-induced silencing complex (RISC). In the RISC, ARGONAUTE1 (AGO1) is the key protein that cleaves miRNA targets at position ten of a miRNA:target duplex. The authenticity of many annotated rice miRNA hairpins is under debate because of their homology to repeat sequences. Some of them, like miR1884b, have been removed from the current release of miRBase based on incomplete information. In this study, we investigated the association of transposable element (TE)-derived miRNAs with typical miRNA pathways (DCL1/4- and AGO1-dependent) using publicly available deep sequencing datasets. Seven miRNA hairpins with 13 unique sRNAs were specifically enriched in AGO1 immunoprecipitation samples and relatively reduced in DCL1/4 knockdown genotypes. Interestingly, these species are ～21-nt long, instead of 24-nt as annotated in miRBase and the literature. Their expression profiles meet current criteria for functional annotation of miRNAs. In addition, diagnostic cleavage tags were found in degradome datasets for predicted target mRNAs. Most of these miRNA hairpins share significant homology with miniature inverted-repeat transposable elements, one type of abundant DNA transposons in rice. Finally, the root-specific production of a 24-nt miRNA-like sRNA was confirmed by RNA blot for a novel EST that maps to the 3′-UTR of a candidate pseudogene showing extensive sequence homology to miR1884b hairpin. Our data are consistent with the hypothesis that TEs can serve as a driving force for the evolution of some MIRNAs, where co-opting of DICER-LIKE1/4 processing and integration into AGO1 could exapt transcribed TE-associated hairpins into typical miRNA pathways.     

Distinctive Profile of IsomiR Expression and Novel MicroRNAs in Rat Heart Left Ventricle

MicroRNAs (miRNAs) are single-stranded non-coding RNAs that negatively regulate target gene expression through mRNA cleavage or translational repression. There is mounting evidence that they play critical roles in heart disease. The expression of known miRNAs in the heart has been studied at length by microarray and quantitative PCR but it is becoming evident that microRNA isoforms (isomiRs) are potentially physiologically important. It is well known that left ventricular (patho)physiology is influenced by transmural heterogeneity of cardiomyocyte phenotype, and this likely reflects underlying heterogeneity of gene expression. Given the significant role of miRNAs in regulating gene expression, knowledge of how the miRNA profile varies across the ventricular wall will be crucial to better understand the mechanisms governing transmural physiological heterogeneity. To determinine miRNA/isomiR expression profiles in the rat heart we investigated tissue from different locations across the left ventricular wall using deep sequencing. We detected significant quantities of 145 known rat miRNAs and 68 potential novel orthologs of known miRNAs, in mature, mature* and isomiR formation. Many isomiRs were detected at a higher frequency than their canonical sequence in miRBase and have different predicted targets. The most common miR-133a isomiR was more effective at targeting a construct containing a sequence from the gelsolin gene than was canonical miR-133a, as determined by dual-fluorescence assay. We identified a novel rat miR-1 homolog from a second miR-1 gene; and a novel rat miRNA similar to miR-676. We also cloned and sequenced the rat miR-486 gene which is not in miRBase (v18). Signalling pathways predicted to be targeted by the most highly detected miRNAs include Ubiquitin-mediated Proteolysis, Mitogen-Activated Protein Kinase, Regulation of Actin Cytoskeleton, Wnt signalling, Calcium Signalling, Gap junctions and Arrhythmogenic Right Ventricular Cardiomyopathy. Most miRNAs are not expressed in a gradient across the ventricular wall, with exceptions including miR-10b, miR-21, miR-99b and miR-486.     

miR669a and miR669q prevent skeletal muscle differentiation in postnatal cardiac progenitors

Postnatal heart stem and progenitor cells are a potential therapeutic tool for cardiomyopathies, but little is known about the mechanisms that control cardiac differentiation. Recent work has highlighted an important role for microribonucleic acids (miRNAs) as regulators of cardiac and skeletal myogenesis. In this paper, we isolated cardiac progenitors from neonatal β-sarcoglycan (Sgcb)-null mouse hearts affected by dilated cardiomyopathy. Unexpectedly, Sgcb-null cardiac progenitors spontaneously differentiated into skeletal muscle fibers both in vitro and when transplanted into regenerating muscles or infarcted hearts. Differentiation potential correlated with the absence of expression of a novel miRNA, miR669q, and with down-regulation of miR669a. Other miRNAs are known to promote myogenesis, but only miR669a and miR669q act upstream of myogenic regulatory factors to prevent myogenesis by directly targeting the MyoD 3' untranslated region. This finding reveals an added level of complexity in the mechanism of the fate choice of mesoderm progenitors and suggests that using endogenous cardiac stem cells therapeutically will require specially tailored procedures for certain genetic diseases.     

Differential expression of basal microRNAs’ patterns in human dental pulp stem cells

MicroRNAs (miRNAs) are small non‐coding RNAs that regulate translation of mRNA into protein and play a crucial role for almost all biological activities. However, the identification of miRNAs from mesenchymal stem cells (MSCs), especially from dental pulp, is poorly understood. In this study, dental pulp stem cells (DPSCs) were characterized in terms of their proliferation and differentiation capacity. Furthermore, 104 known mature miRNAs were profiled by using real‐time PCR. Notably, we observed 19 up‐regulated miRNAs and 29 significantly down‐regulated miRNAs in DPSCs in comparison with bone marrow MSCs (BM‐MSCs). The 19 up‐regulated miRNAs were subjected to ingenuity analysis, which were composed into 25 functional networks. We have chosen top 2 functional networks, which comprised 10 miRNA (hsa‐miR‐516a‐3p, hsa‐miR‐125b‐1‐3p, hsa‐miR‐221‐5p, hsa‐miR‐7, hsa‐miR‐584‐5p, hsa‐miR‐190a, hsa‐miR‐106a‐5p, hsa‐mir‐376a‐5p, hsa‐mir‐377‐5p and hsa‐let‐7f‐2‐3p). Prediction of target mRNAs and associated biological pathways regulated by each of this miRNA was carried out. We paid special attention to hsa‐miR‐516a‐3p and hsa‐miR‐7‐5p as these miRNAs were highly expressed upon validation with qRT‐PCR analysis. We further proceeded with loss‐of‐function analysis with these miRNAs and we observed that hsa‐miR‐516a‐3p knockdown induced a significant increase in the expression of WNT5A. Likewise, the knockdown of hsa‐miR‐7‐5p increased the expression of EGFR. Nevertheless, further validation revealed the role of WNT5A as an indirect target of hsa‐miR‐516a‐3p. These results provide new insights into the dynamic role of miRNA expression in DPSCs. In conclusion, using miRNA signatures in human as a prediction tool will enable us to elucidate the biological processes occurring in DPSCs.     

Comparison of microRNAs in adipose and muscle tissue from seven indigenous Chinese breeds and Yorkshire pigs

Elucidation of the pig microRNAome is essential for interpreting functional elements of the genome and understanding the genetic architecture of complex traits. Here, we extracted small RNAs from skeletal muscle and adipose tissue, and we compared their expression levels between one Western breed (Yorkshire) and seven indigenous Chinese breeds. We detected the expression of 172 known porcine microRNAs (miRNAs) and 181 novel miRNAs. Differential expression analysis found 92 and 12 differentially expressed miRNAs in adipose and muscle tissue respectively. We found that different Chinese breeds shared common directional miRNA expression changes compared to Yorkshire pigs. Some miRNAs differentially expressed across multiple Chinese breeds, including ssc‐miR‐129‐5p, ssc‐miR‐30 and ssc‐miR‐150, are involved in adipose tissue function. Functional enrichment analysis revealed that the target genes of the differentially expressed miRNAs are associated mainly with signaling pathways rather than metabolic and biosynthetic processes. The miRNA–target gene and miRNA–phenotypic traits networks identified many hub miRNAs that regulate a large number of target genes or phenotypic traits. Specifically, we found that intramuscular fat content is regulated by the greatest number of miRNAs in muscle tissue. This study provides valuable new candidate miRNAs that will aid in the improvement of meat quality and production.     

Improved annotation of C. elegans microRNAs by deep sequencing reveals structures associated with processing by Drosha and Dicer

MicroRNAs (miRNAs) are small regulatory RNAs that are essential in all studied metazoans. Research has focused on the prediction and identification of novel miRNAs, while little has been done to validate, annotate, and characterize identified miRNAs. Using Illumina sequencing, ～20 million small RNA sequences were obtained from Caenorhabditis elegans. Of the 175 miRNAs listed on the miRBase database, 106 were validated as deriving from a stem-loop precursor with hallmark characteristics of miRNAs. This result suggests that not all sequences identified as miRNAs belong in this category of small RNAs. Our large data set of validated miRNAs facilitated the determination of general sequence and structural characteristics of miRNAs and miRNA precursors. In contrast to previous observations, we did not observe a preference for the 5' nucleotide of the miRNA to be unpaired compared to the 5' nucleotide of the miRNA*, nor a preference for the miRNA to be on either the 5' or 3' arm of the miRNA precursor stem-loop. We observed that steady-state pools of miRNAs have fairly homogeneous termini, especially at their 5' end. Nearly all mature miRNA-miRNA* duplexes had two nucleotide 3' overhangs, and there was a preference for a uracil in the first and ninth position of the mature miRNA. Finally, we observed that specific nucleotides and structural distortions were overrepresented at certain positions adjacent to Drosha and Dicer cleavage sites. Our study offers a comprehensive data set of C. elegans miRNAs and their precursors that significantly decreases the uncertainty associated with the identity of these molecules in existing databases.     

Altered microRNA expression in bovine skeletal muscle with age

Age‐dependent decline in skeletal muscle function leads to several inherited and acquired muscular disorders in elderly individuals. The levels of microRNAs (miRNAs) could be altered during muscle maintenance and repair. We therefore performed a comprehensive investigation for miRNAs from five different periods of bovine skeletal muscle development using next‐generation small RNA sequencing. In total, 511 miRNAs, including one putatively novel miRNA, were identified. Thirty‐six miRNAs were differentially expressed between prenatal and postnatal stages of muscle development including several myomiRs (miR‐1, miR‐206 and let‐7 families). Compared with miRNA expression between different muscle tissues, 14 miRNAs were up‐regulated and 22 miRNAs were down‐regulated in the muscle of postnatal stage. In addition, a novel miRNA was predicted and submitted to the miRBase database as bta‐mir‐10020. A dual luciferase reporter assay was used to demonstrate that bta‐mir‐10020 directly targeted the 3′‐UTR of the bovine ANGPT1 gene. The overexpression of bta‐mir‐10020 significantly decreased the DsRed fluorescence in the wild‐type expression cassette compared to the mutant type. Using three computational approaches – miranda , pita and rnahybrid – these differentially expressed miRNAs were also predicted to target 3609 bovine genes. Disease and biological function analyses and the KEGG pathway analysis revealed that these targets were statistically enriched in functionality for muscle growth and disease. Our miRNA expression analysis findings from different states of muscle development and aging significantly expand the repertoire of bovine miRNAs now shown to be expressed in muscle and could contribute to further studies on growth and developmental disorders in this tissue type.