MRNA expression profiles in human cell lines
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE10021 | GEO | 2008/04/01
SECONDARY ACCESSION(S): PRJNA108213
REPOSITORIES: GEO
Similar Datasets
Project description:We performed a global analysis of both miRNAs and mRNAs expression across sixteen human cell lines and extracted negatively correlated pairs of miRNA and mRNA which indicate miRNA-target relationship. The many of known-target of miR-124a showed negative correlation, suggesting our analysis were valid. We further extracted physically relevant miRNA-target gene pairs, applying computational target prediction algorism with inverse correlations of miRNA and mRNA expression. Furthermore, Gene Ontology-based annotation and functional enrichment analysis of the extracted miRNA-target gene pairs indicated putative functions of miRNAs. Experiment Overall Design: 16 samples were analyzed. Replicate were not included. <br><br>This experiment was reloaded into ArrayExpress in November 2010 after manual curation.
2008-06-11 | E-GEOD-10021 | biostudies-arrayexpress
Project description:Schmitz2014 - RNA triplex formation
The model is parameterized using the
parameters for gene CCDC3 from Supplementary Table S1. The two
miRNAs which form the triplex together with CCDC3 are miR-551b and
miR-138.
This model is described in the article:
Cooperative gene regulation
by microRNA pairs and their identification using a
computational workflow.
Schmitz U, Lai X, Winter F,
Wolkenhauer O, Vera J, Gupta SK.
Nucleic Acids Res. 2014 Jul; 42(12):
7539-7552
Abstract:
MicroRNAs (miRNAs) are an integral part of gene regulation
at the post-transcriptional level. Recently, it has been shown
that pairs of miRNAs can repress the translation of a target
mRNA in a cooperative manner, which leads to an enhanced
effectiveness and specificity in target repression. However, it
remains unclear which miRNA pairs can synergize and which genes
are target of cooperative miRNA regulation. In this paper, we
present a computational workflow for the prediction and
analysis of cooperating miRNAs and their mutual target genes,
which we refer to as RNA triplexes. The workflow integrates
methods of miRNA target prediction; triplex structure analysis;
molecular dynamics simulations and mathematical modeling for a
reliable prediction of functional RNA triplexes and target
repression efficiency. In a case study we analyzed the human
genome and identified several thousand targets of cooperative
gene regulation. Our results suggest that miRNA cooperativity
is a frequent mechanism for an enhanced target repression by
pairs of miRNAs facilitating distinctive and fine-tuned target
gene expression patterns. Human RNA triplexes predicted and
characterized in this study are organized in a web resource at
www.sbi.uni-rostock.de/triplexrna/.
This model is hosted on
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2024-09-02 | BIOMD0000000530 | BioModels
Project description:Maturation of canonical microRNA (miRNA) is initiated by DROSHA that cleaves the primary transcript (pri-miRNA). Over 1,800 miRNA loci are annotated in humans, but it remains largely unknown if and at which sites the pri-miRNAs are cleaved by DROSHA. Here we performed in vitro processing on a full set of human pri-miRNAs (miRBase v21) followed by sequencing. This comprehensive profiling enabled us to classify miRNAs based on DROSHA-dependence and map their cleavage sites with respective processing efficiency measures. Only 758 pri-miRNAs are confidently processed by DROSHA, while the majority may be non-canonical or false entries. Analyses of the DROSHA-dependent pri-miRNAs show key cis-elements for processing. We observe widespread alternative processing as well as unproductive cleavage events such as “nick” or “inverse” processing. SRSF3 is a broad-acting auxiliary factor modulating alternative processing and suppressing unproductive processing. The profiling data and methods developed in this study will allow systematic analyses of miRNA regulation.
2021-07-28 | PXD025767 | Pride
Project description:we conducted transcriptome and small RNA sequencing to identify differentially expressed genes (DEGs), miRNAs (DEMs), and lncRNAs (DELs). Function analysis on DEM-target genes can explain the regulatory roles of miRNAs in LC. The lncRNA-miRNA pairs, miRNA-mRNA pairs, and lncRNA-mRNA pairs were identified, which were then combined to construct the interplay of lncRNAs/miRNAs/mRNAs. And we used the online databases to verify the selected DEMs, DELs, and DEGs. Our study identified 2509 DEGs, 34 DEMs, and 432 DELs in LC patients. miRNA-mRNA pairs, including 1 miRNA (hsa-miR-21-5p) and 5 targeted genes (RECK, TIMP3, EHD1, RASGRP1 and ERG), were figured out. We finally found the hub subnetwork (LINC00632/has-miR-21-5p/TIMP3) by combining lncRNA-miRNA pairs, miRNA-mRNA pairs and lncRNA-mRNA pairs.
2022-01-27 | GSE194300 | GEO
Project description:We conducted transcriptome and small RNA sequencing to identify differentially expressed genes (DEGs), miRNAs (DEMs), and lncRNAs (DELs). Function analysis on DEM-target genes can explain the regulatory roles of miRNAs in LC. The lncRNA-miRNA pairs, miRNA-mRNA pairs, and lncRNA-mRNA pairs were identified, which were then combined to construct the interplay of lncRNAs/miRNAs/mRNAs. And we used the online databases to verify the selected DEMs, DELs, and DEGs. Our study identified 2509 DEGs, 34 DEMs, and 432 DELs in LC patients. miRNA-mRNA pairs, including 1 miRNA (hsa-miR-21-5p) and 5 targeted genes (RECK, TIMP3, EHD1, RASGRP1 and ERG), were figured out. We finally found the hub subnetwork (LINC00632/has-miR-21-5p/TIMP3) by combining lncRNA-miRNA pairs, miRNA-mRNA pairs and lncRNA-mRNA pairs.
2022-01-27 | GSE194299 | GEO
Project description:The role of microRNAs (miRNAs) during mouse early development, especially in endoderm germ layer formation, is largely unknown. Here, using miRNA profiling, we discovered that miR-124a negatively regulates endoderm lineage commitment in mouse embryonic stem cells (mESCs). We showed that miR-124a inhibits endoderm differentiation in vitro through targeting the 3’ untranslated region (UTR) of Sox17 and Gata6, revealing the existence of an interplay between miR-124a and Sox17/Gata6 transcription factors in hepato-specific gene regulation. Besides, we proposed an in vivo system that utilizes teratoma to evaluate the functional role of miRNA in lineage specification. We demonstrated that ectopic expression of miR-124a in teratomas suppressed endoderm and mesoderm lineage differentiation while augmented the differentiation of ectoderm lineage. Collectively, our findings suggested that miR-124a plays a significant role in mESCs lineage commitment.
2019-12-31 | GSE131337 | GEO
Project description:The role of microRNAs (miRNAs) during mouse early development, especially in endoderm germ layer formation, is largely unknown. Here, using miRNA profiling, we discovered that miR-124a negatively regulates endoderm lineage commitment in mouse embryonic stem cells (mESCs). We showed that miR-124a inhibits endoderm differentiation in vitro through targeting the 3’ untranslated region (UTR) of Sox17 and Gata6, revealing the existence of an interplay between miR-124a and Sox17/Gata6 transcription factors in hepato-specific gene regulation. Besides, we proposed an in vivo system that utilizes teratoma to evaluate the functional role of miRNA in lineage specification. We demonstrated that ectopic expression of miR-124a in teratomas suppressed endoderm and mesoderm lineage differentiation while augmented the differentiation of ectoderm lineage. Collectively, our findings suggested that miR-124a plays a significant role in mESCs lineage commitment.
2019-12-31 | GSE131346 | GEO
Project description:Purpose: sRNA-sequencing of mature and intermediate gonadal tissue in order to identify the differential expression of miRNAs during male to female (i.e. protandrous) sex transition Methods: Total RNA was extracted and sRNA was purified. cDNA libraries were constructed using a high definition adapter protocol (Xu et al. 2015). 50 bp sequencing was performed on Illumina's HiSeq 2500 at the Earlham Institute, Norwich, UK. Sequenced data was trimmed for adapters and filtered to remove very short and low complexity sequences. miRBase animal miRNA precursor sequences were mapped against the Asian seabass genome in order to generate a set of putative miRNA precursors. Putative precursor molecules with aligning mature miRBase miRNA(s) and forming a valid pre-miRNA hairpin structure were annotated as valid precursor miRNAs. Novel precursor and mature miRNAs were annotated using a combination of published algorithms and manual checking to ensure consistency with canonical miRNA biogenesis criteria. The alignment of sequenced reads against a non-redundant miRNA precursor set was used to determine raw read counts of mature miRNAs. Differential expression analysis was performed in order to identify differentially expressed mature miRNAs between conditions. Results: We detect 156, 71, 122, 151, 171 and 155 differentially expressed miRNA for the testis -> T1/T2, T1/T2 -> T3/T4, T3/T4 -> ovary, testis -> T3/T4, T1/T2 -> ovary and the testis->ovary comparisons respectively Conclusions: There is substantial differential expression of miRNAs at every stage of gonadal change in the Asian seabass during the sex transition process
2022-10-20 | GSE122720 | GEO
Project description:Chinese cedar (<i>Cryptomeria fortunei</i>) is a tree species with important ornamental, medicinal, and economic value. Terpenoids extracted from the essential oil of <i>C. fortunei</i> needles have been considered valuable ingredients in the pharmaceutical and cosmetic industries. However, the possible gene regulation mechanisms that limit terpenoid biosynthesis in this genus are poorly understood. Here, we adopted integrated metabolome analysis, transcriptome, small-RNA (sRNA), and degradome sequencing to analyze the differences in terpenoid regulatory mechanisms in two different overwintering <i>C. fortunei</i> phenotypes (wild-type and an evergreen mutant). A total of 1447/6219 differentially synthesized metabolites (DSMs)/unigenes (DEGs) were detected through metabolome/transcriptome analyses, and these DSMs/DEGs were significantly enriched in flavonoid and diterpenoid biosynthesis pathways. In <i>C. fortunei</i> needles, 587 microRNAs (miRNAs), including 67 differentially expressed miRNAs (DERs), were detected. Among them, 8346 targets of 571 miRNAs were predicted using degradome data, and a 72-miRNA-target regulatory network involved in the metabolism of terpenoids and polyketides was constructed. Forty-one targets were further confirmed to be involved in terpenoid backbone and diterpenoid biosynthesis, and target analyses revealed that two miRNAs (i.e., aly-miR168a-5p and aof-miR396a) may be related to the different phenotypes and to differential regulation of diterpenoid biosynthesis. Overall, these results reveal that <i>C. fortunei</i> plants with the evergreen mutation maintain high terpenoid levels in winter through miRNA-target regulation, which provides a valuable resource for essential oil-related bioengineering research.
2022-08-12 | MTBLS3183 | MetaboLights
Project description:MicroRNAs (miRNAs) are short (~22 nucleotides) regulatory RNAs that can modulate gene expression and are aberrantly expressed in many diseases including cancer. We report the results of a systems analysis of miRNA regulation in ovarian cancer. We found that 33 miRNAs are up-regulated and 9 down-regulated in CEPI relative to OSE (p<0.01, ≥2 fold change). Of these, 12 were previously annotated miRNAs (Sanger miRBase) of which 9 are up-regulated and 3 are down-regulated in CEPI relative to OSE. Current models predict that changes in levels of miRNAs will be inversely correlated with changes in the levels of targeted mRNAs due to miRNA regulation. This predicted inverse correlation held for only ~9% of predicted target mRNAs. Computational analyses indicate the unexpected low inverse correlation may be at least partially explained by variation in the number of miRNA binding sites within the 3’ UTRs of targeted mRNAs and by miRNA-mediated changes in levels of transcription factors that can exert overriding trans-regulatory controls on target loci.
2011-07-29 | GSE23391 | GEO