Expression profiles of circRNAs in goat skeletal muscle development
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA827782 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To explore functional circRNAs during goat muscle development, we systematically investigated the circRNAs profiles using high throughput transcriptome sequencing technology (RNA-seq) at key developmental stages of fetus and Kid in Haimen goat.
2023-12-31 | GSE200971 | GEO
Project description:MicroRNAs (miRNAs) are small (∼22 nucleotides) noncoding ribonucleic acids (RNAs) that regulate gene expression by binding to their complementary sequences. Recent years, a great deal of miRNAs which highly-enriched in skeletal muscle have been identified, which can influence multiple facets of muscle development and function through their regulation of key genes controlling myogenesis. However, to date no miRNAs have been reported to modulate muscle development in goat. Total RNAs from the xuhuai goats longissimus thoracis at fetal and six month old stages were used to construct small RNA libraries for Solexa SBS technology sequencing. In the small RNA profile, a total of 15,627,457 clean reads were obtained from the fetal goat library and 15,593,721 clean reads from the six month old goat library. There are 471 conserved miRNAs overlapped in both libraries, of which 343 miRNAs were differential expressed. We identified 122 novel miRNAs in the fetal caprine library and 53 novel miRNAs in the six month old-caprine library.
2015-07-19 | GSE49260 | GEO
Project description:The goal of this study was to compare the transcriptome profiles (RNA-seq) of fetal and six month old goat in skeletal muscle. Total RNAs from the Chinese Xuhuai goat longissimus thoracis at fetal and six month old stages were used to construct cDNA libraries for Solexa SBS technology sequencing. After remove reads with adapters, reads in which unknown bases were more than 5% and low quality reads, we obtained 27,512,850 clean reads from the fetal caprine (FC) library and 27,582,908 clean reads from the six month old caprine (SMC) library. The total basepairs were 2,476,156,500 for FC and 2,482,461,720 for SMC. The ratio of clean reads mapped to reference genome was 45.43% for FC and 33.73% for SMC. The ratio of reads mapped to reference gene was 47.77% for FC and 34.03% for SMC. To reveal the molecular events during different development stages, genes that differentially expressed between the two libraries were identified. Clean reads that matched reference genes in each library were used to evaluate the expression level of transcripts. In total, 11663 genes were differentially expressed between the two development stages. There were 5134 genes with at least a two-fold difference in expression between FC and SMC libraries (FDR, 0.001), of which 1070 genes were up-regulated, 4064 were down-regulated in the six month old caprine compared to the fetal caprine muscle tissue, and 4911 were expressed in both library. Genes with less than one fold changes between FC and SMC libraries were excluded from further analysis. The results indicated that there were significant difference between the two development phase in gene-expression. In addition, some muscle related genes such as MyoD, Myf5, Myogenin, Mrf4, myosin heavy chain 3 (MYH3), Myoglobin and DLK1 were differentially expressed.
2015-07-19 | GSE49258 | GEO
Project description:Whole transcriptome profiles during sheep skeletal muscle development
| PRJNA524671 | ENA
Project description:Skeletal Muscle Transcriptomics
| PRJNA532382 | ENA
Project description:This study was to identify circRNAs responsible for muscle atrophy. Skeletal muscle wasting is a common clinical feature of many chronic diseases and also occurs in response to acute events. Circular RNAs are covalently closed RNA transcripts that are involved in various physiological and pathological processes. However, the underlying mechanisms of circRNAs implicated in muscle atrophy remains unknown. Global circRNA expression profiling indicated that many circRNAs are involved in the pathophysiological processes of muscle atrophy.
2023-09-08 | GSE205537 | GEO
Project description:In the present study, RNA-seq technique was used to compare the expression profiles of circRNAs from goat endometrium samples at gestational day 5 (pre-receptive endometrium, PE) and day 15 (receptive endometrium, RE). A total of 21,813 circRNAs were identified in goat endometrium, of which only 31.22% (6,810) circRNAs were co-expressed at both stages, and 5,925 circRNAs were identified specifically in RE and 9,078 in PE, suggesting high stage specificity in the circRNAs in dairy goats. Further analysis found that there were 334 DECs (differentially expressed circRNAs) in RE compared to PE (P< 0.05), and circRNA8077 was up-regulated with the highest FPKM value in RE. It was noteworthy that half of the up-regulated circRNAs with top 10 highest FPKM value in RE were come from CRIM1. Moreover, GO and KEGG analysis of the hgDEGs (hosting genes of DECs) revealed some circRNAs, genes and pathways that may involve in the formation of the receptive endometrium in dairy goats. In a word, our data provided an endometrium circRNA expression atlas related to the biology of the goat receptive endometrium during embryo implantation, and the results suggested that a subset of circRNAs might involve in the processes of the formation and development of endometrial receptivity.
2019-05-09 | GSE85384 | GEO
Project description:Previous analysis of Myf5-/-:MyoD-/- mouse fetuses lacking skeletal muscle demonstrated the importance of muscle contraction and static loading in mouse skeletogenesis. Previous analysis of Myf5-/-:MyoD-/- mouse fetuses lacking skeletal muscle demonstrated the importance of muscle contraction and static loading in mouse skeletogenesis. Among abnormal skeletal features, micrognathia (mandibular hypoplasia) was detected: small, bent and posteriorly displaced mandible. As an example of Waddingtonian epigenetics, we suggest that muscle, in addition to acting via mechanochemical signal transduction pathways, networks and promoters, also exerts secretory stimuli on skeleton. Our goal is to identify candidate molecules at that muscle-mandible interface. By employing Systematic Subtractive Microarray Analysis approach, we compared gene expression between mandibles of amyogenic and wild type mouse fetuses. We identified a set of candidate genes with involvement in mandibulardevelopment: Cacna1s, Ckm, Des, Mir300, Myog and Tnnc1. We also performed mouse-to-human translational experiments and found analogies. In the light of our findings we discuss various players in mandibular morphogenesis and make an argument for the need to consider mandibular development as a consequence of reciprocal epigenetic interactions of both skeletal and non-skeletal compartments.
2018-01-30 | GSE109779 | GEO
Project description:Skeletal muscle is a complex heterogeneous tissue comprised of diverse muscle fiber and non-fiber cell types that, in addition to movement, influences other systems such as immunity, metabolism and cognition. We investigated gene expression patterns of resident human skeletal muscle cells using single-cell RNA-seq of dissections from vastus lateralis. We generate transcriptome profiles of 11 mononuclear human skeletal muscle mononuclear cell types, including immune, endothelial, pericyte and satellite cells. We delineate two fibro-adipogenic progenitor cell subtypes that may contribute to heterotopic ossification and muscular dystrophy fibrosis under pathological conditions. An important application of cell type signatures is for computational deconvolution of cell type specific changes using data from bulk transcriptome experiments. Analysis of transcriptome data from a 12 week resistance training study using the human skeletal muscle cell-type signatures revealed significant changes in specific mononuclear cell-type proportions related to age, sex, acute exercise and training. This characterization of human skeletal muscle cell subtypes will resolve cell type specific changes in large-scale physical activity muscle transcriptome studies and can further the understanding of the diverse effects of exercise and the pathophysiology of muscle disease.
2020-01-16 | GSE130646 | GEO
Project description:Skeletal muscle is a complex heterogeneous tissue comprised of diverse muscle fiber and non-fiber cell types that, in addition to movement, influences other systems such as immunity, metabolism and cognition. We investigated gene expression patterns of resident human skeletal muscle cells using both single-cell RNA-seq and RNA-seq of single muscle fiber dissections from vastus lateralis. We generated transcriptome profiles of the major multinucleated human skeletal muscle fiber-types as well as 11 human skeletal muscle mononuclear cell types, including immune, endothelial, pericyte and satellite cells. We delineated two fibro-adipogenic progenitor cell subtypes that may contribute to heterotopic ossification and muscular dystrophy fibrosis under pathological conditions. An important application of cell type signatures is for computational deconvolution of cell type specific gene expression changes using data from bulk transcriptome experiments. Analysis of transcriptome data from a 12 week resistance exercise training study using these human skeletal muscle cell-type signatures revealed significant changes in specific mononuclear cell-type proportions related to age, sex, acute exercise and training. This characterization of human skeletal muscle cell types will resolve cell-type specific changes in large-scale physical activity muscle transcriptome studies and can further the understanding of the diverse effects of exercise and the pathophysiology of muscle disease.
2020-02-01 | GSE130977 | GEO