Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA198733 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR833713.fastq.gz | Fastqsanger.gz | |||
| SRR833714.fastq.gz | Fastqsanger.gz | |||
| SRR833715.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 3 of 3 |
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Project description:Identification of miRNAs regulated by TGF-b in human CD8+ T cells (expression)
| PRJNA198736 | ENA
Project description:The goal of the current study was to identify miRNAs regulated by TGF-b in human CD8+ T cells and analyze the function of these miRNAs in shaping the immunomodulatory effect of TGF-b in these cells. We identified the miR-23a cluster to be upregulated and found that this cluster could target key molecules (IFN-g and LAMP1) involved in immune response by CD8+ T cells. CD8+ T cells were isolated and purified from healthy human peripheral blood of 5 donors and were activated using beads coupled to anti-CD2, anti-CD3 and anti-CD24. They were then treated with 5ng/ml TGF-b, with 1µM SD-208 or left untreated. RNA from these cells were then isolated and used for deep sequencing.
2014-08-01 | E-GEOD-46322 | biostudies-arrayexpress
Project description:The goal of the current study was to identify miRNAs regulated by TGF-b in human CD8+ T cells and analyze the function of these miRNAs in shaping the immunomodulatory effect of TGF-b in these cells. We identified the miR-23a cluster to be upregulated and found that this cluster could target key molecules (IFN-g and LAMP1) involved in immune response by CD8+ T cells. CD8+ T cells were isolated and purified from healthy human peripheral blood of 5 donors and were activated using beads coupled to anti-CD2, anti-CD3 and anti-CD24. They were then treated with 5ng/ml TGF-b, with 1M-BM-5M SD-208 or left untreated. RNA from these cells were then isolated and used for generating miRNA microarrays.
2014-08-01 | E-GEOD-46324 | biostudies-arrayexpress
Project description:The goal of the current study was to identify miRNAs regulated by TGF-b in human CD8+ T cells and analyze the function of these miRNAs in shaping the immunomodulatory effect of TGF-b in these cells. We identified the miR-23a cluster to be upregulated and found that this cluster could target key molecules (IFN-g and LAMP1) involved in immune response by CD8+ T cells.
2014-08-01 | GSE46324 | GEO
Project description:The goal of the current study was to identify miRNAs regulated by TGF-b in human CD8+ T cells and analyze the function of these miRNAs in shaping the immunomodulatory effect of TGF-b in these cells. We identified the miR-23a cluster to be upregulated and found that this cluster could target key molecules (IFN-g and LAMP1) involved in immune response by CD8+ T cells.
2014-08-01 | GSE46322 | GEO
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
BioModels Database
and identified by:
BIOMD0000000530.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
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.
2024-09-02 | BIOMD0000000530 | BioModels
Project description:To investigate the role of TGF-β1-regulated miRNAs in the progression of colorectal cancer,we performed comprehensive miRMA microarray analysis on RNA derived from typical human colorectal cancer cell lines and TGF-β1 knock-down human colorectal cancer cell lines. We identified a novel set of TGF-β1-related miRNAs.
2013-12-16 | GSE53338 | GEO
Project description:Human naïve CD4+ T cells (CD4+ CD45RA+ CD25- CD45RO- CD8- CD14- CD15- CD16- CD19- CD34- CD36- CD56- CD123- TCRγ/δ- HLA-DR- and CD235a-) were magnetically negatively isolated from peripheral blood. Cells were stimulated with anti-CD3/anti-CD28 antibodies plus IL-2, and samples were taken at 6h, 24h, 48h and 6d of stimulation. Mock stimulation control cells (sample group G02) received no further compounds, whereas induced regulatory T cells (iTregs) were either differentiated under addition of TGF-b (sample group G03) or TGF-b + retinoic acid + rapamycin (sample group G05). As control, naïve CD4+ T cells were left unstimulated (0h; sample group G01). Ex vivo isolated CD25-high cells were included as positive control for the Treg signature (“nTreg”; sample group G07). Tregs were defined by expression of FOXP3, the “master” transcription factor of Tregs. Samples from 3 male healthy donors (age 34 to 38 years) were prepared with the Qiagen Allprep kit and protein precipitate was solubilized (5 min, 95°C) in freshly prepared buffer containing 4% (w/v) SDS, 25 mM HEPES pH 7.6, 1mM DTT. Samples were prepared using the FASP assay and peptides were labeled with TMT 10-plex reagents and MS data acquired on a Q Exactive Hybrid Quadrupole-Orbitrap Mass Spectrometer.
Phenotyping, stability and functional analyses for iTregs induced under these conditions are available in Schmidt A et al., PLoSONE 2016, PMID: 26886923). In the publication associated to this dataset, the time-course proteomic profiling during human Treg differentiation is presented and integrated with RNA-Seq data from the same cells (including additional iTreg culture conditions and 2h time points for RNA-Seq). The data underwent clustering, network analysis and disease enrichment, which revealed many known regulators of Tregs along with novel candidate genes putatively involved in FOXP3 induction, the biological importance of which was validated with a targeted shRNA screen.
2018-04-10 | PXD005703 | JPOST Repository
Project description:As the fetal heart develops, cardiomyocyte proliferation potential decreases while fatty acid oxidative capacity increases, a highly regulated transition known as cardiac maturation. Small noncoding RNAs, such as microRNAs (miRNAs), contribute to the establishment and control of tissue-specific transcriptional programs. However, small RNA expression dynamics and genome wide miRNA regulatory networks controlling maturation of the human fetal heart remain poorly understood. Transcriptome profiling of small RNAs revealed the temporal expression patterns of miRNA, piRNA, circRNA, snoRNA, snRNA and tRNA in the developing human heart between 8 and 19 weeks of gestation. Our analysis revealed that miRNAs were the most dynamically expressed small RNA species throughout mid-gestation. Cross-referencing differentially expressed miRNAs and mRNAs predicted 6,200 mRNA targets, 2134 of which were upregulated and 4066 downregulated as gestation progresses. Moreover, we found that downregulated targets of upregulated miRNAs predominantly control cell cycle progression, while upregulated targets of downregulated miRNAs are linked to energy sensing and oxidative metabolism. Furthermore, integration of miRNA and mRNA profiles with proteomes and reporter metabolites revealed that proteins encoded in mRNA targets, and their associated metabolites, mediate fatty acid oxidation and are enriched as the heart develops.This study revealed the small RNAome of the maturing human fetal heart. Furthermore, our findings suggest that coordinated activation and repression of miRNA expression throughout mid-gestation is essential to establish a dynamic miRNA-mRNA-protein network that decreases cardiomyocyte proliferation potential while increasing the oxidative capacity of the maturing human fetal heart.
2024-01-26 | PXD044936 | Pride