Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA396888 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5889410_1.fastq.gz | Fastqsanger.gz | |||
| SRR5889410_2.fastq.gz | Fastqsanger.gz | |||
| SRR5889411_1.fastq.gz | Fastqsanger.gz | |||
| SRR5889411_2.fastq.gz | Fastqsanger.gz | |||
| SRR5889412_1.fastq.gz | Fastqsanger.gz |
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Project description:Cytoplasmic long non coding RNAs have been shown to act at many different levels to control post-transcriptional gene expression; though their role in translational control is still poorly understood. Here we show that lnc-31 is a translational activator of Rock1, a negative regulator of myogenesis which prevents the exit of myoblasts from the cell cycle. This activity well correlates with the described role of lnc-31 in supporting myoblast proliferation. We show that lnc-31 binds the translational regulator YB-1 and targets the Rock1 mRNA by direct base pair interaction. We present evidences that lnc-31 stabilizes YB-1 on the Rock1 mRNA; this effect would in turn allow the YB-1-dependent remodelling of the Rock1 5’UTR and the promotion of its translation.
2018-05-09 | GSE102158 | GEO
Project description:Transcriptional profiling of human hepatoellular carcinoma (HCC) cell line: MHCC-97H comparing control untreated MHCC-97H cells with MHCC-97H cells overexpressed ROCK1 protein. Goal was to determine the effect of ROCK1 on global MHCC-97H cell mRNA and lncRNA expression. Transcriptional profiling of human hepatoellular carcinoma (HCC) cell line: MHCC-97H comparing control untreated MHCC-97H cells with MHCC-97H cells overexpressed ROCK2 protein. Goal was to determine the effect of ROCK2 on global MHCC-97H cell mRNA and lncRNA expression. Transcriptional profiling of human hepatoellular carcinoma (HCC) cell line: MHCC-97H comparing MHCC-97H cells overexpressed ROCK1 with MHCC-97H cells overexpressed ROCK2 protein. Goal was to determine the distinction of ROCK1 & 2 on global MHCC-97H cell mRNA and lncRNA expression.
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Project description:Long noncoding RNAs (lncRNAs) have emerged as key regulators in a wide range of biological processes. The involvement of lncRNAs in epithelial-to-mesenchymal transition (EMT) has been well stablished; however, the role as immediate-early regulators is still unclear. Here, we identified a mouse miRNA-host gene lncRNA (lnc-Nr6a1) early upregulated during EMT. We show that this lncRNA is processed giving rise to abundant polyadenylated isoforms, lnc-Nr6a1 and lnc-Nr6a1-2, and a longer non-polyadenylated microprocessor-driven lnc-pri-miRNAS containing clustered pre-miRNA-181a2 and pre-miRNA-181b2 hairpins. Ectopic expression of lnc-Nr6a1-1/2 isoforms enhance cell migration and invasive capacity of the cells, whereas the expression of isoforms and miR-181a2/b2 confers anoikis resistance. Lnc-Nr6a1 gene deletion results in cells with lower adhesion capacity and reduced glycolytic metabolism which are restored by lnc-Nr6a1-1 isoform expression. We perform identification of direct RNA interacting proteins (iDRIP) to identify proteins interacting directly with lnc-Nr6a1-1 isoform. We define a network of interacting proteins, including glycolytic enzymes, desmosome proteins and chaperone proteins and we demonstrated that lnc-Nr6a1-1 isoform directly binds and acts as a scaffold molecule for the assembly of ENO1, ALDOA, GAPDH, PKM glycolytic enzymes along with LDHA, supporting substrate canneling for efficient glycolysis. Our results unveil a role of lnc-Nr6a1 as a multifunctional lncRNA acting as a backbone for multiprotein complexes formation and as a primary microRNAs reservoir.
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Project description:Firczuk2013 - Eukaryotic mRNA translation machinery
This is a model of Saccharomyces cerevisiae
mRNA translation which includes the initiation, elongation and termination phases. The model is for 20 condon mRNAs. The building of a multi-factor complex in initiation and also the different processes in elongation and termination are modelled in detail. The model takes into account that ribosomes cover more than one codon of mRNA so that the movement of ribosomes are effectively blocked by other ribosomes several codons downstream. It is assumed that 15 codons are occupied by each ribosome. This blocking effect is considered in reaction R18 in initiation and also reaction R26, the reaction where translocation of ribosomes takes place in elongation. The kinetic functions of these two reactions are based on MacDonald et al. 1968 and Heinrich & Rapaport 1980. All other kinetic functions follow mass-action kinetics. The concentrations of transfer RNA species (Met-tRNA, aa-tRNA and tRNA in the model) are kept constant, while the other species' concentrations can change in the course of the simulation. The model describes the translation of a short mRNA with 20 codons. Therefore, all reactions in the elongation cycle (R22, R23, R25, R26, R28 and R29) and the corresponding species are replicated accordingly to model the species with ribosomes bound at different positions. In summary, the model contains 165 different species and 141 reactions.
The value of the 56 rate constant parameters were estimated by fitting the model against a series of experimental data consisting of modulation of the various translation factors (Figures 2, 3 and S3). Overall the parameter estimation was carried out over 212 different data points (steady states).
This model is described in the article:
An in vivo control map for the eukaryotic mRNA translation machinery
Helena Firczuk, Shichina Kannambath, Jürgen Pahle, Amy Claydon, Robert Beynon, John Duncan, Hans Westerhoff, Pedro Mendes and John EG McCarthy
Molecular Systems Biology. 9:635
Abstract:
Rate control analysis defines the in vivo control map governing yeast protein synthesis and generates an extensively parameterized digital model of the translation pathway. Among other non-intuitive outcomes, translation demonstrates a high degree of functional modularity and comprises a non-stoichiometric combination of proteins manifesting functional convergence on a shared maximal translation rate. In exponentially growing cells, polypeptide elongation (eEF1A, eEF2, and eEF3) exerts the strongest control. The two other strong control points are recruitment of mRNA and tRNAi to the 40S ribosomal subunit (eIF4F and eIF2) and termination (eRF1; Dbp5). In contrast, factors that are found to promote mRNA scanning efficiency on a longer than-average 5′untranslated region (eIF1, eIF1A, Ded1, eIF2B, eIF3, and eIF5) exceed the levels required for maximal control. This is expected to allow the cell to minimize scanning transition times, particularly for longer 5′UTRs. The analysis reveals these and other collective adaptations of control shared across the factors, as well as features that reflect functional modularity and system robustness. Remarkably, gene duplication is implicated in the fine control of cellular protein synthesis.
This model is hosted on BioModels Database
and identified by: BIOMD0000000457
.
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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 | BIOMD0000000457 | BioModels
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