Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA307115 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR3057583.fastq.gz | Fastqsanger.gz | |||
| SRR3057584.fastq.gz | Fastqsanger.gz | |||
| SRR3057585.fastq.gz | Fastqsanger.gz | |||
| SRR3057586.fastq.gz | Fastqsanger.gz |
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Project description:The transforming growth factor beta (TGF-β) superfamily proteins are potent regulators of cellular development and differentiation. Long non-coding RNAs (lncRNAs) play widespread roles in spatial-temporal regulation of early development. However, the roles of lncRNAs regulated by nodal/TGF-β signaling is still elusive. Here, we showed a nodal-driven Smad induced lncRNA in mouse embryonic stem cells (mESCs), lncRNA-Smad7, which is divergently transcribed to Smad7, regulates cell fate determination through repressing Bmp2. Depletion of lncRNA-Smad7 dramatically impairs cardiomyocyte differentiation in mESCs. Moreover, LncRNA-Smad7 represses Bmp2 expression and binds at the promoter region of Bmp2. Importantly, knock-down Bmp2 rescues the defect of cardiomyocyte differentiation. Hence, we showed that lncRNA-Smad7 is antagonistic to BMP signaling in mESCs. Furthermore, lncRNA-Smad7 regulates cell fate determination between osteocytes and myocytes formation in C2C12 cells by repressing Bmp2. Thus, we provide new insights regarding the antagonistic effects between nodal/TGF-β and BMP signaling via lncRNA-Smad7.
2022-10-19 | GSE178136 | GEO
Project description:This model is from the article:
Quantitative analysis of transient and sustained transforming growth factor-β signaling dynamics.
Zhike Zi, Zipei Feng, Douglas A Chapnick, Markus Dahl, Difan Deng, Edda Klipp, Aristidis Moustakas & Xuedong Liu Molecular Systems Biology
2011 May 24;7:492. 21613981
,
Abstract:
Mammalian cells can decode the concentration of extracellular transforming growth factor-β (TGF-β) and transduce this cue into appropriate cell fate decisions. How variable TGF-β ligand doses quantitatively control intracellular signaling dynamics and how continuous ligand doses are translated into discontinuous cellular fate decisions remain poorly understood. Using a combined experimental and mathematical modeling approach, we discovered that cells respond differently to continuous and pulsating TGF-β stimulation. The TGF-β pathway elicits a transient signaling response to a single pulse of TGF-β stimulation, whereas it is capable of integrating repeated pulses of ligand stimulation at short time interval, resulting in sustained phospho-Smad2 and transcriptional responses. Additionally, the TGF-β pathway displays different sensitivities to ligand doses at different time scales. While ligand-induced short-term Smad2 phosphorylation is graded, long-term Smad2 phosphorylation is switch-like to a small change in TGF-β levels. Correspondingly, the short-term Smad7 gene expression is graded, while long-term PAI-1 gene expression is switch-like, as is the long-term growth inhibitory response. Our results suggest that long-term switch-like signaling responses in the TGF-β pathway might be critical for cell fate determination.
Note:
Developer of the model: Zhike Zi
Reference: Zi Z. et al., Quantitative Analysis of Transient and Sustained Transforming Growth Factor-beta Signaling Dynamics, Molecular Systems Biology, 2011
1. The global parameter that set the type of stimulation
(a) for sustained TGF-beta stimulation: set stimulation_type = 1.
(b) for single pulse of TGF-beta stimulation: set stimulation_type = 2.
parameter "single_pulse_duration" is for the duration of stimulation, for example,
single_pulse_duration = 0.5, for 0.5 min (30 seconds) of TGF-beta stimulation.
*Note: make sure that the time course cover the time point when the event is triggered.
(c) for single pulse of TGF-beta stimulation in COPASI
change the trigger of event "single_pulse_TGF_beta_washout"
from
"and(eq(stimulation_type, 2), eq(time, single_pulse_duration))" (for SBML-SAT)
to
"and(eq(stimulation_type, 2), gt(time, single_pulse_duration))" (for COPASI)
2. Notes for TGF-beta dose in terms of molecules per cell
(a) The following equation applies for conversion of TGF-beta dose in molecules per cell
TGF_beta_dose_mol_per_cell = initial TGF_beta_ex*1e-9*Vmed*6e23
(b) for standard experimental setup 1e6 cells in 2 mL medium
0.001 nM initial TGF_beta_ex is approximately equal to the dose of 1200 TGF-beta molecules/cell
0.050 nM initial TGF_beta_ex is approximately equal to the dose of 60000 TGF-beta molecules/cell
(c) For 1e6 cells in 10 mL medium, please change the initial compartment size of Vmed and the corresponding assignment rule for Vmed.
initial Vmed = 1e-8 (1e6 cells in 10 mL medium)
Vmed = 0.010/(1e6*exp(log(1.45)*time/1440)) (1e6 cells in 10 mL medium)
3. Please note that this model contains events and the medium compartment size is varied.
4. For the model simulation in SBML-SAT, please remove initialAssignments and save it as SBML Level 2 Verion 1 file.
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Project description:DACH1 inhibits TGF-beta signaling through binding Smad4
| PRJNA87633 | ENA
Project description:CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA. All gene expression profiles were obtained from highly purified T cell populations sorted by flow cytometry. To reduce variability, cells from multiple mice were pooled for sorting, and replicates were generated for essentially all groups. RNA from 0.5-3 x 105 cells was amplified, labeled, and hybridized to Affymetrix M430v2 microarrays. Raw data were preprocessed with the RMA algorithm in GenePattern, and averaged expression values were used for analysis.
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Project description:TGF-β signaling is a central regulator of early development in metazoans, yet our understanding of the scope of TGF-β signaling’s downstream targets and associated physiological mechanisms in specifying developmentally appropriate cell fates is far from complete. Here, we found that a highly conserved, primitive-streak-specific micropeptide is a direct target of TGF-b/Nodal signaling. This transmembrane micropeptide (NEMEP) is essential for mesendoderm differentiation. Depletion of NEMEP impaired mesendoderm differentiation and caused a significant decrease in glucose uptake, while TGF-β signaling enhances glucose uptake in a NEMEP-dependent manner. Biochemically, we show that NEMEP promotes glucose uptake through its interactions with GLUT1/3. Thus, beyond expanding the scope of known TGF-β signaling targets in early development and showing that this target micropeptide augments the glucose uptake function of major glucose transporters during mesendoderm differentiation, our study provides a clear example for the direct functional impact of altered metabolism on cell fate determination in early embryogenesis.
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Project description:Polycomb-group proteins are key regulators of the transcriptional programs that maintain stem cell identity and dictate lineage specification. Polycomb repressor complex 1 (PRC1) contains the E3 ligases RING1A/B, which monoubiquitinate lysine 119 at histone H2A (H2AK119ub1) to regulate gene expression. PRC1 has been sub-classified into six major complexes based on the presence of a PCGF subunit. Here, we find that Pcgf5, one of six PCGF paralogs, is an important requirement in the differentiation of mouse embryonic stem cells (mESCs) towards a neural cell fate. Although PCGF5 is not required for mESC self-renewal, its loss blocks mESC neural differentiation by activating the SMAD2/TGF-β signaling pathway. Inhibition of SMAD2/TGF-β signaling or rescue by overexpression of Pcgf5 can restore the capability of mESCs to differentiate towards a neural cell fate. PCGF5 works by stimulating RING1B-dependent H2AK119ub1 both in vitro and in vivo, leading to the suppression of TGF-β signaling genes. PCGF5 loss-of-function prevents the reduction of H2AK119ub1 and H3K27me3 around neural specific genes and keeps them repressed. Our results showed that PCGF5 might function as both a repressor for SMAD2/TGF-β signaling pathway and a facilitator for neural differentiation. Together, our findings reveal a critical context-specific function for PCGF5 in directing PRC1 to control cell fate.
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Project description:Polycomb-group proteins are key regulators of the transcriptional programs that maintain stem cell identity and dictate lineage specification. Polycomb repressor complex 1 (PRC1) contains the E3 ligases RING1A/B, which monoubiquitinate lysine 119 at histone H2A (H2AK119ub1) to regulate gene expression. PRC1 has been sub-classified into six major complexes based on the presence of a PCGF subunit. Here, we find that Pcgf5, one of six PCGF paralogs, is an important requirement in the differentiation of mouse embryonic stem cells (mESCs) towards a neural cell fate. Although PCGF5 is not required for mESC self-renewal, its loss blocks mESC neural differentiation by activating the SMAD2/TGF-β signaling pathway. Inhibition of SMAD2/TGF-β signaling or rescue by overexpression of Pcgf5 can restore the capability of mESCs to differentiate towards a neural cell fate. PCGF5 works by stimulating RING1B-dependent H2AK119ub1 both in vitro and in vivo, leading to the suppression of TGF-β signaling genes. PCGF5 loss-of-function prevents the reduction of H2AK119ub1 and H3K27me3 around neural specific genes and keeps them repressed. Our results showed that PCGF5 might function as both a repressor for SMAD2/TGF-β signaling pathway and a facilitator for neural differentiation. Together, our findings reveal a critical context-specific function for PCGF5 in directing PRC1 to control cell fate.
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