Henze2017 - A Dynamical Model for Activating and Silencing the Mitotic Checkpoint
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Ashley Xavier
PROVIDER: MODEL1812210002 | BioModels | 2024-01-24
REPOSITORIES: BioModels
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A Dynamical Model for Activating and Silencing the Mitotic Checkpoint.
Henze Richard R Dittrich Peter P Ibrahim Bashar B
Scientific reports 20170620 1
The spindle assembly checkpoint (SAC) is an evolutionarily conserved mechanism, exclusively sensitive to the states of kinetochores attached to microtubules. During metaphase, the anaphase-promoting complex/cyclosome (APC/C) is inhibited by the SAC but it rapidly switches to its active form following proper attachment of the final spindle. It had been thought that APC/C activity is an all-or-nothing response, but recent findings have demonstrated that it switches steadily. In this study, we deve ...[more]
Similar Datasets
Project description:Ibrahim2008 - Mitotic Spindle Assembly Checkpoint - Convey variant
The Mitotic Spindle Assembly Checkpoint ((M)SAC) is an evolutionary conserved mechanism. This model incorporates the perspectives of three central control pathways, namely Mad1/Mad2 induced Cdc20 sequestering based on the Template Model, MCC formation, and APC inhibition. MCC:APC dissociation is described by two alternatives models, namely the "Dissociation" and the "Convey" model variants. Both these model are available in BioModels Database. This model corresponds to the "Convey" variant.
This model is described in the article:
In-silico modeling of the mitotic spindle assembly checkpoint.
Ibrahim B, Diekmann S, Schmitt E, Dittrich P
PLoS One. 2008 Feb 6;3(2):e1555.
Abstract:
BACKGROUND: The Mitotic Spindle Assembly Checkpoint ((M)SAC) is an evolutionary conserved mechanism that ensures the correct segregation of chromosomes by restraining cell cycle progression from entering anaphase until all chromosomes have made proper bipolar attachments to the mitotic spindle. Its malfunction can lead to cancer.
PRINCIPLE FINDINGS: We have constructed and validated for the human (M)SAC mechanism an in silico dynamical model, integrating 11 proteins and complexes. The model incorporates the perspectives of three central control pathways, namely Mad1/Mad2 induced Cdc20 sequestering based on the Template Model, MCC formation, and APC inhibition. Originating from the biochemical reactions for the underlying molecular processes, non-linear ordinary differential equations for the concentrations of 11 proteins and complexes of the (M)SAC are derived. Most of the kinetic constants are taken from literature, the remaining four unknown parameters are derived by an evolutionary optimization procedure for an objective function describing the dynamics of the APC:Cdc20 complex. MCC:APC dissociation is described by two alternatives, namely the "Dissociation" and the "Convey" model variants. The attachment of the kinetochore to microtubuli is simulated by a switching parameter silencing those reactions which are stopped by the attachment. For both, the Dissociation and the Convey variants, we compare two different scenarios concerning the microtubule attachment dependent control of the dissociation reaction. Our model is validated by simulation of ten perturbation experiments.
CONCLUSION: Only in the controlled case, our models show (M)SAC behaviour at meta- to anaphase transition in agreement with experimental observations. Our simulations revealed that for (M)SAC activation, Cdc20 is not fully sequestered; instead APC is inhibited by MCC binding.
This model describes the controlled dissociation variant of the mitotic spindle assembly checkpoint. If the tool you use has problems with events, you can uncomment the assignment rules for u and u_prime and comment out the list of events.
In accordance with the authors due to typos in the original publication some initial conditions and parameters were slightly changed in the model:
article
model
[O-Mad2]
1.5e-7 M
1.3e-7 M
[BubR1:Bub3]
1.30e-7 M
1.27e-7 M
k -4
0.01 M -1
s -1
0.02 M -1
s -1
k -5
0.1 M -1
s -1
0.2 M -1
s -1
This model is hosted on BioModels Database
and identified by: MODEL6655578762
.
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.
2008-09-01 | BIOMD0000000187 | BioModels
Project description:Ibrahim2008 - Mitotic Spindle Assembly Checkpoint - Dissociation variant
The Mitotic Spindle Assembly Checkpoint ((M)SAC) is an evolutionary conserved mechanism. This model incorporates the perspectives of three central control pathways, namely Mad1/Mad2 induced Cdc20 sequestering based on the Template Model, MCC formation, and APC inhibition. MCC:APC dissociation is described by two alternatives models, namely the "Dissociation" and the "Convey" model variants. Both these model are available in BioModels Database. This model corresponds to the "Dissociation" variant.
This model is described in the article:
In-silico modeling of the mitotic spindle assembly checkpoint.
Ibrahim B, Diekmann S, Schmitt E, Dittrich P
PLoS One. 2008 Feb 6;3(2):e1555.
Abstract:
BACKGROUND: The Mitotic Spindle Assembly Checkpoint ((M)SAC) is an evolutionary conserved mechanism that ensures the correct segregation of chromosomes by restraining cell cycle progression from entering anaphase until all chromosomes have made proper bipolar attachments to the mitotic spindle. Its malfunction can lead to cancer.
PRINCIPLE FINDINGS: We have constructed and validated for the human (M)SAC mechanism an in silico dynamical model, integrating 11 proteins and complexes. The model incorporates the perspectives of three central control pathways, namely Mad1/Mad2 induced Cdc20 sequestering based on the Template Model, MCC formation, and APC inhibition. Originating from the biochemical reactions for the underlying molecular processes, non-linear ordinary differential equations for the concentrations of 11 proteins and complexes of the (M)SAC are derived. Most of the kinetic constants are taken from literature, the remaining four unknown parameters are derived by an evolutionary optimization procedure for an objective function describing the dynamics of the APC:Cdc20 complex. MCC:APC dissociation is described by two alternatives, namely the "Dissociation" and the "Convey" model variants. The attachment of the kinetochore to microtubuli is simulated by a switching parameter silencing those reactions which are stopped by the attachment. For both, the Dissociation and the Convey variants, we compare two different scenarios concerning the microtubule attachment dependent control of the dissociation reaction. Our model is validated by simulation of ten perturbation experiments.
CONCLUSION: Only in the controlled case, our models show (M)SAC behaviour at meta- to anaphase transition in agreement with experimental observations. Our simulations revealed that for (M)SAC activation, Cdc20 is not fully sequestered; instead APC is inhibited by MCC binding.
This model describes the controlled dissociation variant of the mitotic spindle assembly checkpoint. If the tool you use has problems with events, you can uncomment the assignment rules for u and u_prime and comment out the list of events.
In accordance with the authors due to typos in the original publication some initial conditions and parameters were slightly changed in the model:
article
model
[O-Mad2]
1.5e-7 M
1.3e-7 M
[BubR1:Bub3]
1.30e-7 M
1.27e-7 M
k -4
0.01 M -1
s -1
0.02 M -1
s -1
k -5
0.1 M -1
s -1
0.2 M -1
s -1
This model is hosted on BioModels Database
and identified by: MODEL6655615431
.
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.
2008-09-02 | BIOMD0000000186 | BioModels
Project description:We show that N6-methyladenosine (m6A), the most abundant internal modification in mRNA/lncRNA with still poorly characterized function, alters RNA structure to facilitate the access of RBM for heterogeneous nuclear ribonucleoprotein C (hnRNP C). We term this mechanism m6A-switch. Through combining PAR-CLIP with Me-RIP, we identify 39,060 m6A-switches among hnRNP C binding sites transcriptome-wide. We show that m6A-methyltransferases METTL3 or METTL14 knockdown decreases hnRNP C binding at 16,582 m6A-switches. Taken together, 2,798 m6A-switches of high confidence are identified to mediate RNA-hnRNP C interactions and affect diverse biological processes including cell cycle regulation. These findings reveal the biological importance of m6A and provide insights into the sophisticated regulation of RNA-RBP interactions through m6A-induced RNA structural remodeling. Measure the m6A methylated hnRNP C binding sites transcriptome-wide by PARCLIP-MeRIP; measure the differential hnRNP C occupancies upon METTL3/METTL14 knockdown by PAR-CLIP; measure RNA abundance and splicing level changes upon HNRNPC, METTL3 and METTL14 knockdown
2015-02-27 | E-GEOD-56010 | biostudies-arrayexpress
Project description:The spindle checkpoint is a mitotic surveillance system which ensures equal segregation of sister chromatids. It delays anaphase onset by inhibiting the action of the E3 ubiquitin ligase known as the anaphase promoting complex or cyclosome (APC/C). Mads/BubR1 is a key component of the mitotic checkpoint complex (MCC) which binds and inhibits the APC/C early in mitosis. Mps1Mph1 kinase is critical for checkpoint signalling and MCC-APC/C inhibition, yet few substrates have been identified. Here we identify Mad3 as a substrate of fission yeast Mps1Mph1 kinase. We map and mutate phosphorylation sites in Mad3, producing mutants that are targeted to kinetochores and assembled into MCC, yet display reduced APC/C binding and are unable to maintain checkpoint arrests. We chow biochemically that Mad3 phospho-mimics are potent APC/C inhibitors in vitro, demonstrating that Mad3p modification can directly influence Cdc20Slp1-APC/C activity. This genetic dissection of APC/C inhibition demonstrates that Mps1Mph1 kinase-dependant modification of Mad3 and Mad2 act in a concerted manner to maintain spindle checkpoint arrests.
2016-03-31 | PXD003806 | Pride
Project description:Accurate chromosome segregation is coordinated by the spindle assembly checkpoint (SAC) through its effector the mitotic checkpoint complex (MCC), to inhibit the anaphase-promoting complex or cyclosome (APC/C). Cdc20 is an essential mitotic regulator since it promotes mitotic exit through activating the APC/C and monitors kinetochore-microtubule attachment through activating the SAC. The proper functioning of Cdc20 requires multiple interactions with APC/C and MCC subunits. To functionally assess each of these interactions within cells requires efficient depletion of endogenous Cdc20, which is highly difficult to achieve by RNAi. Here we generated Cdc20 RNAi sensitive cell lines by CRISPR/Cas9 which display a penetrant metaphase arrest phenotype by a single RNAi treatment. In this null background, we accurately measured the contribution of each known motif of Cdc20 on APC/C and SAC activation. The CRY box, a previously identified degron was found to be critical for the SAC by promoting theMCC formation and stabilizing the interaction between the MCC and APC/C. These data reveal additionalregulatory components within the SAC and establish a novel method to interrogate Cdc20 function.
2023-12-06 | PXD045411 | Pride
Project description:Molecular switches are central to many cellular networks, enabling signal processing via interactions with molecules that write, erase, or read the active state of the switch. One switch protein can independently regulate distinct processes, but the molecular mechanisms enabling this functional multi-specificity remain unclear. Here we integrate system-scale cellular and biophysical measurements to study how a paradigm switch, the small GTPase Ran/Gsp1, achieves its functional multi-specificity. We make targeted point mutations to individual interactions of Ran/Gsp1 and show through genetic and physical interaction mapping that Ran/Gsp1 interface perturbations have widespread cellular consequences that cluster by biological processes but, unexpectedly, not by the targeted interactions. Instead, the cellular consequences of the interface mutations group by their biophysical effects on kinetic parameters of the GTPase switch cycle, and cycle kinetics are allosterically tuned by distal interface mutations. We propose that the functional multi-specificity of Ran/Gsp1 is explained by a differential sensitivity of biological processes to different kinetic parameters of the Gsp1 switch cycle, and that Gsp1 switch readers binding to the sites of distal mutations can also act as allosteric writers and erasers of the switch cycle. Similar mechanisms may underlie biological regulation by other GTPases and biological switches in general.
2020-05-18 | PXD016338 | Pride
Project description:We show that N6-methyladenosine (m6A), the most abundant internal modification in mRNA/lncRNA with still poorly characterized function, alters RNA structure to facilitate the access of RBM for heterogeneous nuclear ribonucleoprotein C (hnRNP C). We term this mechanism m6A-switch. Through combining PAR-CLIP with Me-RIP, we identify 39,060 m6A-switches among hnRNP C binding sites transcriptome-wide. We show that m6A-methyltransferases METTL3 or METTL14 knockdown decreases hnRNP C binding at 16,582 m6A-switches. Taken together, 2,798 m6A-switches of high confidence are identified to mediate RNA-hnRNP C interactions and affect diverse biological processes including cell cycle regulation. These findings reveal the biological importance of m6A and provide insights into the sophisticated regulation of RNA-RBP interactions through m6A-induced RNA structural remodeling.
2015-02-27 | GSE56010 | GEO
Project description:This is the model of the minmal 2 feedback switch described in the article:
Synthetic conversion of a graded receptor signal into a tunable, reversible switch.
Santhosh Palani and Casim A. Sarkar, 2011, Molecular Systems Biology 7:480; doi: 10.1038/msb.2011.13
The ability to engineer an all-or-none cellular response to a given signaling ligand is important in applications ranging from biosensing to tissue engineering. However, synthetic gene network switches have been limited in their applicability and tunability due to their reliance on specific components to function. Here, we present a strategy for reversible switch design that instead relies only on a robust, easily constructed network topology with two positive feedback loops and we apply the method to create highly ultrasensitive (nH420), bistable cellular responses to a synthetic ligand/receptor complex. Independent modulation of the two feedback strengths enables rational tuning and some decoupling of steady-state (ultrasensitivity, signal amplitude, switching threshold, and bistability) and kinetic (rates of system activation and deactivation) response properties.
Our integrated computational and synthetic biology approach elucidates design rules for building cellular switches with desired properties, which may be of utility in engineering signal-transduction pathways.
This model is parametrised for a transcription factor and receptor feedback strength of 3, TFs = 3 and Rs = 3. To reproduce figure 1 E, the parameters TFs and Rs have to be varied accordingly.
Nomenclature for the model:
L : Ligand
R : Receptor
C : Ligand-Receptor Complex
I : Inactive Transcription Factor
X : C bound to I
A : Active Transcription Factor
This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
For more information see the terms of use
.
To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2011-03-31 | BIOMD0000000325 | BioModels
Project description:Coordination between sister chromatid separation and segregation is crucial for accurate chromosome partitioning to the offspring. Key to this process is the ability of mitotic spindle microtubules to respond to different molecular signals and remodel their dynamics accordingly. Based on their function, spindle microtubules are conventionally divided into three classes: kinetochore, interpolar and astral microtubules (kMTs, iMTs and aMTs, respectively). While different mechanisms have been proposed to control kMT and iMT dynamics, aMT regulation remains elusive. We here show that aMT dynamics are tightly regulated. aMTs remain unstable up to metaphase to control spindle orientation and are stabilized at anaphase onset. Necessary and sufficient for this stabilization is the degradation of the mitotic cyclin Clb4 mediated by the Anaphase Promoting Complex in combination with its activator subunit Cdc20 (APC/CCdc20). Our results contribute to delineate a comprehensive picture of late mitotic events, where individual steps of the signalling cascade initiated by APC/CCdc20 activation and culminating in cohesin cleavage time the final stages of mitosis by sequentially modulating the dynamics of the three classes of spindle microtubules.
2022-10-19 | PXD028828 | Pride
Project description:We designed microRNA-responsive, modified mRNA switches (miR-switches) that quantitatively control their own translation level by determining the miRNA activities. We found that the three miR-switches (i.e., miR-1-, miR-208-, and miR-499-switches) enable to purify cardiomyocytes differentiated from hPSCs with high efficiency, accuracy, and safety. The purified cardiomyocytes were engrafted in mouse heart and did not form tumor. Simultaneous purification of two different cell types, cardiomyocytes and endothelial cells, was also performed by transfecting the mRNA responding to the both miR-208 and miR-126, into heterogeneous cell population derived from hPSCs. In addition, selective induction of apoptosis in noncardiomyocytes triggered by miR-1/208-Bim switch enriched cardiomyocytes without cell sorting. The mRNA switch could purify desired cell types and control cell death pathways by monitoring the miRNA expression dynamics during cell fate conversion. MYH6-EIP4 iPSCs for mRNA, N=3 MYH6-EIP4 day18 cardiomyocytes (before transfection) for mRNA, N=3 MYH6-EIP4 day19 cardiomyocytes (miR-1-switch day1) for mRNA, N=3 MYH6-EIP4 day19 cardiomyocytes (without transfection) for mRNA, N=3 MYH6-EIP4 day25 cardiomyocytes (miR-1-switch day7) for mRNA, N=3 MYH6-EIP4 day25 cardiomyocytes (without transfection) for mRNA, N=3 201B7 d22 miR-208a-BFP sorted cells for mRNA, N=1 201B7 d22 miR-208a-BFP negative fraction sorted cells for mRNA, N=1 201B7 d22 SIRPA+LIN- sorted cells for mRNA, N=1 201B7 d22 SIRPA+LIN- negative fraction sorted cells for mRNA, N=1 201B7 d22 VCAM1+ sorted cells for mRNA, N=1 201B7 d22 VCAM1+negative fraction sorted cells for mRNA, N=1 MYH6-EIP4 day19 cardiomyocytes (miR-208a-Bim-switch day1) for mRNA, N=1 MYH6-EIP4 day19 cardiomyocytes (without transfection) for mRNA, N=1 MYH6-EIP4 day21 cardiomyocytes (miR-208a-Bim-switch day7) for mRNA, N=1 MYH6-EIP4 day21 cardiomyocytes (without transfection) for mRNA, N=1 MYH6-EIP4 day25 cardiomyocytes (miR-208a-Bim-switch day7) for mRNA, N=1 MYH6-EIP4 day25 cardiomyocytes (without transfection) for mRNA, N=1
2015-05-20 | E-GEOD-60632 | biostudies-arrayexpress