Systematic identification and comparison of expressed profiles of lncRNAs and circRNAs in male and female germline stem cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE87824 | GEO | 2017/06/12
SECONDARY ACCESSION(S): PRJNA347816
REPOSITORIES: GEO
Similar Datasets
Project description:Intensive research in past two decades has uncovered the presence and importance of noncoding RNAs (ncRNAs), which includes microRNAs (miRs) and long ncRNAs (lncRNAs). These two classes of ncRNAs interact to a certain extent, as some lncRNAs bind to miRs to sequester them. Such lncRNAs are collectively called 'competing endogenous RNAs' or 'miRNA sponges'. In this study, we screened for lncRNAs that may act as miRNA sponges using the publicly available data sets and databases. To uncover the roles of miRNA sponges, loss-of-function experiments were conducted, which revealed the biological roles as miRNA sponges. LINC00324 is important for the cell survival by binding to miR-615-5p leading to the de-repression of its target BTG2 LOC400043 controls several biological functions via sequestering miR-28-3p and miR-96-5p, thereby changing the expressions of transcriptional regulators. Finally, we also screened for circular RNAs (circRNAs) that may function as miRNA sponges. The results were negative at least for the selected circRNAs in this study. In conclusion, miRNA sponges can be identified by applying a series of bioinformatics techniques and validated with biological experiments. The expressions of miRs were examined in HEK-293, HUVEC and Hs68 cells.
2016-07-06 | E-GEOD-73690 | biostudies-arrayexpress
Project description:Intensive research in past two decades has uncovered the presence and importance of noncoding RNAs (ncRNAs), which includes microRNAs (miRs) and long ncRNAs (lncRNAs). These two classes of ncRNAs interact to a certain extent, as some lncRNAs bind to miRs to sequester them. Such lncRNAs are collectively called 'competing endogenous RNAs' or 'miRNA sponges'. In this study, we screened for lncRNAs that may act as miRNA sponges using the publicly available data sets and databases. To uncover the roles of miRNA sponges, loss-of-function experiments were conducted, which revealed the biological roles as miRNA sponges. LINC00324 is important for the cell survival by binding to miR-615-5p leading to the de-repression of its target BTG2 LOC400043 controls several biological functions via sequestering miR-28-3p and miR-96-5p, thereby changing the expressions of transcriptional regulators. Finally, we also screened for circular RNAs (circRNAs) that may function as miRNA sponges. The results were negative at least for the selected circRNAs in this study. In conclusion, miRNA sponges can be identified by applying a series of bioinformatics techniques and validated with biological experiments. The expressions of miRs were examined in HEK-293 cells that were LINC00324- or LOC400043-silenced using siRNA.
2016-07-06 | E-GEOD-73689 | biostudies-arrayexpress
Project description:Intensive research in past two decades has uncovered the presence and importance of noncoding RNAs (ncRNAs), which includes microRNAs (miRs) and long ncRNAs (lncRNAs). These two classes of ncRNAs interact to a certain extent, as some lncRNAs bind to miRs to sequester them. Such lncRNAs are collectively called 'competing endogenous RNAs' or 'miRNA sponges'. In this study, we screened for lncRNAs that may act as miRNA sponges using the publicly available data sets and databases. To uncover the roles of miRNA sponges, loss-of-function experiments were conducted, which revealed the biological roles as miRNA sponges. LINC00324 is important for the cell survival by binding to miR-615-5p leading to the de-repression of its target BTG2 LOC400043 controls several biological functions via sequestering miR-28-3p and miR-96-5p, thereby changing the expressions of transcriptional regulators. Finally, we also screened for circular RNAs (circRNAs) that may function as miRNA sponges. The results were negative at least for the selected circRNAs in this study. In conclusion, miRNA sponges can be identified by applying a series of bioinformatics techniques and validated with biological experiments. Using HEK-293 cells, we performed microarray experiments (n=2) for siRNA-mediated silencing of LINC00324 and LOC40043.
2016-07-06 | E-GEOD-73683 | biostudies-arrayexpress
Project description:Systematic identification and comparison of expressed profiles of lncRNAs and circRNAs in male and female germline stem cells
| PRJNA347816 | ENA
Project description:To decipher the roles of non-coding RNAs during male germline development, we use the lncRNAs microarray to profile the genome-wide lncRNAs expression pattern in the male germline Testes samples from 6 time points were collected for lncRNAs and mRNAs microarray profiling
2013-06-30 | E-GEOD-46896 | biostudies-arrayexpress
Project description:To decipher the roles of non-coding RNAs during male germline development, we use the lncRNAs microarray to profile the genome-wide lncRNAs expression pattern in the male germline
2013-06-30 | GSE46896 | GEO
Project description:Subcutaneous preadipocyte differentiation play a critical role in fat deposition of pigs. However, the action of different RNAs in subcutaneous preadipocyte differentiation, such as messenger RNAs (mRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs), are still largely unclear. In the present study, a transcriptome analysis including mRNAs, lncRNAs, and circRNAs was performed in different stages of D0, D2, D4, and D8 using RNA-seq technology. Our results identified 1,554, 470, 1,344, 1,777, and 676 differentially expressed (DE) mRNAs, 112, 58, 95, 136, and 93 DE lncRNAs, and 902, 787, 710, 932, and 850 DE circRNAs between D2 and D0, between D4 and D2, between D8 and D4, between D4 and D0, and between D8 and D0, respectively. Moreover, functional enrichment analysis showed that the common DE mRNAs during entire differentiation were mainly involved in lipid metabolic and cell differentiation processes. Additionally, co-expression network analysis identified the potential lncRNAs related to adipogenesis, e.g., MSTRG.42239 and MSTRG.146410. Taken together, this study provides a genome-wide landscape of RNA expression profiles during subcutaneous preadipocyte differentiation, thus improving our understanding of molecular mechanism in regulating subcutaneous adipogenesis of pigs.
2018-11-14 | GSE114583 | GEO
Project description:Cross-talk between competitive endogenous RNAs (ceRNAs) may play a critical role in revealing potential mechanisms of tumor development and physiology. Glioblastoma is the most common type of malignant primary brain tumor, and the mechanisms of tumor genesis and development in glioblastoma are unclear. Here, to investigate the role of non-coding RNAs and the ceRNA network in glioblastoma, we performed paired-end RNA sequencing and microarray analyses to obtain the expression profiles of mRNAs, lncRNAs circRNAs and miRNAs. We identified that the expression of 501 lncRNAs, 1789 mRNAs, 2038 circRNAs and 143 miRNAs were often altered between glioblastoma and matched normal brain tissue. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed on these differentially expressed mRNAs and miRNA-mediated target genes of lncRNAs and circRNAs. Furthermore, we used a multi-step computational framework and several bioinformatics methods to construct a ceRNA network combining mRNAs, miRNAs, lncRNAs and circRNA, based on co-expression analysis between the differentially expressed RNAs. We identified that plenty of lncRNAs, CircRNAs and their downstream target genes in the ceRNA network are related to glutamatergic synapse, suggesting that glutamate metabolism is involved in glioma biological functions. Our results will accelerate the understanding of tumorigenesis, cancer progression and even therapeutic targeting in glioblastoma. We hope to inspire researchers to study the role of non-coding RNAs in glioblastoma.
2016-08-30 | GSE86202 | GEO
Project description:Purpose: This study aimed to explore the differential expression profiles of exosomal lncRNAs and evaluated their potential utility in the accurate diagnosis of LAA stroke. Methods: LncRNA profiles of exosomes in large artery atherosclerosis stroke and controls were generated by high-throughput sequencing. The sequence reads that passed quality filters were analyzed at the transcript isoform level with Hisat2, Trapnell, STAR. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Results: A total of 1020 differentially expressed lncRNAs were identified in LAA stroke patients. GO and KEGG pathway analyses indicated that their target genes are involved in atherosclerosis-related pathways, including inflammation, cell adhesion, and cell migration. 8 exosomal lncRNAs were confirmed with qRT–PCR.The result showed that the expression trend of differential expressed lncRNAs in validation was consistent with RNA-seq.Conclusion: Our study showed the differential expression of lncRNAs in plasma exosomes and presented related diagnostic potential for LAA stroke for the first time. The results suggested that exosomal lncRNA could be potential diagnostic tools in LAA stroke. Circular RNAs (circRNAs), novel endogenous noncoding RNAs, play diverse roles in ischemic stroke. Recently, the abundance and stability of circRNAs in exosomes have been identified. However, a comprehensive analysis of exosomal circRNAs in large artery atherosclerotic (LAA) stroke has not yet been reported. We performed RNA sequencing (RNA-Seq) to comprehensively identify differentially expressed exosomal circRNAs in five paired LAA and normal controls. RNA-Seq identified a total of 462 circRNAs in peripheral exosomes; there were 25 differentially expressed circRNAs among them. Additionally, circRNA competing endogenous RNA (ceRNA) network and translatable analysis revealed the potential functions of the exosomal circRNAs in LAA progression. Two ceRNA pathways involving 5 circRNAs, 2 miRNAs, and 3 mRNAs were confirmed by qRT-PCR. In the validation cohort, receiver operating characteristic (ROC) curve analysis identified two circRNAs as possible novel biomarkers, and a logistic model combining two and four circRNAs increased the area under the curve compared with the individual circRNAs.
2021-06-08 | GSE173719 | GEO
Project description:Long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs), which were proved to play a crucial role in regulating cell differentiation and tissue development. However, the expression profiles of different RNAs, such as mRNA, lncRNAs, and circRNAs in different adipose tissues, are still largely unclear. To shed light on this issue, we performed the systematic analysis of mRNAs, lncRNAs, and circRNAs obtained from intramuscular adipose tissues (IAT), subcutaneous adipose tissues (SAT), visceral adipose tissues (RPAT), and mesenteric adipose tissues (MAT) tissues of Chinese Erhualian pigs using high-throughput sequencing. A total of 1,695, 1,878, 494, 1,300, 902, and 355 differentially expressed (DE) mRNAs, 318, 399, 192, 251, 249, and 347 DE lncRNAs, 1,367, 1,007, 999, 1,153, 1,256, and 837 DE circRNAs were identified in IAT versus SAT, IAT versus RPAT, SAT versus RPAT, MAT versus IAT, MAT versus SAT, and MAT versus RPAT, respectively. Gene ontology (GO) enrichment analyses showed these DE genes were mainly involved in lipid metabolic and immune response. Next the co-expression network construction of mRNAs-lncRNAs revealed several key lncRNAs such as MSTRG.604204 and MSTRG.604206 might associated with lipid metabolic. Tissue specific analysis indicated that circRNA exhibited the highest tissue specificity than lncRNA and mRNA, and the IAT had the most tissue specific lncRNA, mRNA, and circRNA compared with other tissues. Taken together, this study gives us a novel clue to the role of mRNAs, lncRNAs and circRNAs in fat metabolism, thus improving our understanding of the regulation mechanism of different gene expression profiles in adipose deposition
2019-02-09 | GSE110478 | GEO