Proctor2017- Role of microRNAs in osteoarthritis (Positive Feedforward Coherent By MicroRNA)
Ontology highlight
ABSTRACT:
SUBMITTER: 
Carole Proctor
PROVIDER: MODEL1610100003 | BioModels |
REPOSITORIES: BioModels
Publications
Computer simulation models as a tool to investigate the role of microRNAs in osteoarthritis.
Proctor Carole J CJ Smith Graham R GR
PloS one 20171102 11
The aim of this study was to show how computational models can be used to increase our understanding of the role of microRNAs in osteoarthritis (OA) using miR-140 as an example. Bioinformatics analysis and experimental results from the literature were used to create and calibrate models of gene regulatory networks in OA involving miR-140 along with key regulators such as NF-κB, SMAD3, and RUNX2. The individual models were created with the modelling standard, Systems Biology Markup Language, and ...[more]
Similar Datasets
Project description:Proctor2017- Role of microRNAs in osteoarthritis (miR140 in osteoarthritis)
This model is described in the article:
Computer simulation models
as a tool to investigate the role of microRNAs in
osteoarthritis.
Proctor CJ, Smith GR.
PLoS ONE 2017; 12(11): e0187568
Abstract:
The aim of this study was to show how computational models
can be used to increase our understanding of the role of
microRNAs in osteoarthritis (OA) using miR-140 as an example.
Bioinformatics analysis and experimental results from the
literature were used to create and calibrate models of gene
regulatory networks in OA involving miR-140 along with key
regulators such as NF-?B, SMAD3, and RUNX2. The individual
models were created with the modelling standard, Systems
Biology Markup Language, and integrated to examine the overall
effect of miR-140 on cartilage homeostasis. Down-regulation of
miR-140 may have either detrimental or protective effects for
cartilage, indicating that the role of miR-140 is complex.
Studies of individual networks in isolation may therefore lead
to different conclusions. This indicated the need to combine
the five chosen individual networks involving miR-140 into an
integrated model. This model suggests that the overall effect
of miR-140 is to change the response to an IL-1 stimulus from a
prolonged increase in matrix degrading enzymes to a pulse-like
response so that cartilage degradation is temporary. Our
current model can easily be modified and extended as more
experimental data become available about the role of miR-140 in
OA. In addition, networks of other microRNAs that are important
in OA could be incorporated. A fully integrated model could not
only aid our understanding of the mechanisms of microRNAs in
ageing cartilage but could also provide a useful tool to
investigate the effect of potential interventions to prevent
cartilage loss.
This model is hosted on
BioModels Database
and identified by:
MODEL1705170005.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
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.
| MODEL1705170005 | BioModels
Project description:Proctor2017- Role of microRNAs in
osteoarthritis (miR140-SMAD3 double negative feedback)
This model is described in the article:
Computer simulation models
as a tool to investigate the role of microRNAs in
osteoarthritis.
Proctor CJ, Smith GR.
PLoS ONE 2017; 12(11): e0187568
Abstract:
The aim of this study was to show how computational models
can be used to increase our understanding of the role of
microRNAs in osteoarthritis (OA) using miR-140 as an example.
Bioinformatics analysis and experimental results from the
literature were used to create and calibrate models of gene
regulatory networks in OA involving miR-140 along with key
regulators such as NF-?B, SMAD3, and RUNX2. The individual
models were created with the modelling standard, Systems
Biology Markup Language, and integrated to examine the overall
effect of miR-140 on cartilage homeostasis. Down-regulation of
miR-140 may have either detrimental or protective effects for
cartilage, indicating that the role of miR-140 is complex.
Studies of individual networks in isolation may therefore lead
to different conclusions. This indicated the need to combine
the five chosen individual networks involving miR-140 into an
integrated model. This model suggests that the overall effect
of miR-140 is to change the response to an IL-1 stimulus from a
prolonged increase in matrix degrading enzymes to a pulse-like
response so that cartilage degradation is temporary. Our
current model can easily be modified and extended as more
experimental data become available about the role of miR-140 in
OA. In addition, networks of other microRNAs that are important
in OA could be incorporated. A fully integrated model could not
only aid our understanding of the mechanisms of microRNAs in
ageing cartilage but could also provide a useful tool to
investigate the effect of potential interventions to prevent
cartilage loss.
This model is hosted on
BioModels Database
and identified by:
MODEL1705170000.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
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.
| MODEL1705170000 | BioModels
Project description:Proctor2017- Role of microRNAs in osteoarthritis (Mir140-IGFBP5 incoherent feed forward)
This model is described in the article:
Computer simulation models
as a tool to investigate the role of microRNAs in
osteoarthritis.
Proctor CJ, Smith GR.
PLoS ONE 2017; 12(11): e0187568
Abstract:
The aim of this study was to show how computational models
can be used to increase our understanding of the role of
microRNAs in osteoarthritis (OA) using miR-140 as an example.
Bioinformatics analysis and experimental results from the
literature were used to create and calibrate models of gene
regulatory networks in OA involving miR-140 along with key
regulators such as NF-?B, SMAD3, and RUNX2. The individual
models were created with the modelling standard, Systems
Biology Markup Language, and integrated to examine the overall
effect of miR-140 on cartilage homeostasis. Down-regulation of
miR-140 may have either detrimental or protective effects for
cartilage, indicating that the role of miR-140 is complex.
Studies of individual networks in isolation may therefore lead
to different conclusions. This indicated the need to combine
the five chosen individual networks involving miR-140 into an
integrated model. This model suggests that the overall effect
of miR-140 is to change the response to an IL-1 stimulus from a
prolonged increase in matrix degrading enzymes to a pulse-like
response so that cartilage degradation is temporary. Our
current model can easily be modified and extended as more
experimental data become available about the role of miR-140 in
OA. In addition, networks of other microRNAs that are important
in OA could be incorporated. A fully integrated model could not
only aid our understanding of the mechanisms of microRNAs in
ageing cartilage but could also provide a useful tool to
investigate the effect of potential interventions to prevent
cartilage loss.
This model is hosted on
BioModels Database
and identified by:
MODEL1705170004.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
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.
| MODEL1705170004 | BioModels
Project description:Proctor2017- Role of microRNAs in
osteoarthritis (miR140-IL1 coherent feed forward)
This model is described in the article:
Computer simulation models
as a tool to investigate the role of microRNAs in
osteoarthritis.
Proctor CJ, Smith GR.
PLoS ONE 2017; 12(11): e0187568
Abstract:
The aim of this study was to show how computational models
can be used to increase our understanding of the role of
microRNAs in osteoarthritis (OA) using miR-140 as an example.
Bioinformatics analysis and experimental results from the
literature were used to create and calibrate models of gene
regulatory networks in OA involving miR-140 along with key
regulators such as NF-?B, SMAD3, and RUNX2. The individual
models were created with the modelling standard, Systems
Biology Markup Language, and integrated to examine the overall
effect of miR-140 on cartilage homeostasis. Down-regulation of
miR-140 may have either detrimental or protective effects for
cartilage, indicating that the role of miR-140 is complex.
Studies of individual networks in isolation may therefore lead
to different conclusions. This indicated the need to combine
the five chosen individual networks involving miR-140 into an
integrated model. This model suggests that the overall effect
of miR-140 is to change the response to an IL-1 stimulus from a
prolonged increase in matrix degrading enzymes to a pulse-like
response so that cartilage degradation is temporary. Our
current model can easily be modified and extended as more
experimental data become available about the role of miR-140 in
OA. In addition, networks of other microRNAs that are important
in OA could be incorporated. A fully integrated model could not
only aid our understanding of the mechanisms of microRNAs in
ageing cartilage but could also provide a useful tool to
investigate the effect of potential interventions to prevent
cartilage loss.
This model is hosted on
BioModels Database
and identified by:
MODEL1705170001.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
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.
| MODEL1705170001 | BioModels
Project description:Proctor2017- Role of microRNAs in
osteoarthritis (Negative Feedback By MicroRNA with Delay)
This model is described in the article:
Computer simulation models
as a tool to investigate the role of microRNAs in
osteoarthritis.
Proctor CJ, Smith GR.
PLoS ONE 2017; 12(11): e0187568
Abstract:
The aim of this study was to show how computational models
can be used to increase our understanding of the role of
microRNAs in osteoarthritis (OA) using miR-140 as an example.
Bioinformatics analysis and experimental results from the
literature were used to create and calibrate models of gene
regulatory networks in OA involving miR-140 along with key
regulators such as NF-?B, SMAD3, and RUNX2. The individual
models were created with the modelling standard, Systems
Biology Markup Language, and integrated to examine the overall
effect of miR-140 on cartilage homeostasis. Down-regulation of
miR-140 may have either detrimental or protective effects for
cartilage, indicating that the role of miR-140 is complex.
Studies of individual networks in isolation may therefore lead
to different conclusions. This indicated the need to combine
the five chosen individual networks involving miR-140 into an
integrated model. This model suggests that the overall effect
of miR-140 is to change the response to an IL-1 stimulus from a
prolonged increase in matrix degrading enzymes to a pulse-like
response so that cartilage degradation is temporary. Our
current model can easily be modified and extended as more
experimental data become available about the role of miR-140 in
OA. In addition, networks of other microRNAs that are important
in OA could be incorporated. A fully integrated model could not
only aid our understanding of the mechanisms of microRNAs in
ageing cartilage but could also provide a useful tool to
investigate the effect of potential interventions to prevent
cartilage loss.
This model is hosted on
BioModels Database
and identified by:
MODEL1610100002.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
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.
| MODEL1610100002 | BioModels
Project description:Proctor2017- Role of microRNAs in osteoarthritis (miR140-SOX9 incoherent feed forward)
This model is described in the article:
Computer simulation models
as a tool to investigate the role of microRNAs in
osteoarthritis.
Proctor CJ, Smith GR.
PLoS ONE 2017; 12(11): e0187568
Abstract:
The aim of this study was to show how computational models
can be used to increase our understanding of the role of
microRNAs in osteoarthritis (OA) using miR-140 as an example.
Bioinformatics analysis and experimental results from the
literature were used to create and calibrate models of gene
regulatory networks in OA involving miR-140 along with key
regulators such as NF-?B, SMAD3, and RUNX2. The individual
models were created with the modelling standard, Systems
Biology Markup Language, and integrated to examine the overall
effect of miR-140 on cartilage homeostasis. Down-regulation of
miR-140 may have either detrimental or protective effects for
cartilage, indicating that the role of miR-140 is complex.
Studies of individual networks in isolation may therefore lead
to different conclusions. This indicated the need to combine
the five chosen individual networks involving miR-140 into an
integrated model. This model suggests that the overall effect
of miR-140 is to change the response to an IL-1 stimulus from a
prolonged increase in matrix degrading enzymes to a pulse-like
response so that cartilage degradation is temporary. Our
current model can easily be modified and extended as more
experimental data become available about the role of miR-140 in
OA. In addition, networks of other microRNAs that are important
in OA could be incorporated. A fully integrated model could not
only aid our understanding of the mechanisms of microRNAs in
ageing cartilage but could also provide a useful tool to
investigate the effect of potential interventions to prevent
cartilage loss.
This model is hosted on
BioModels Database
and identified by:
MODEL1705170003.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
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.
| MODEL1705170003 | BioModels
Project description:Proctor2017- Role of microRNAs in osteoarthritis (miR140-IL1 incoherent feed forward)
This model is described in the article:
Computer simulation models
as a tool to investigate the role of microRNAs in
osteoarthritis.
Proctor CJ, Smith GR.
PLoS ONE 2017; 12(11): e0187568
Abstract:
The aim of this study was to show how computational models
can be used to increase our understanding of the role of
microRNAs in osteoarthritis (OA) using miR-140 as an example.
Bioinformatics analysis and experimental results from the
literature were used to create and calibrate models of gene
regulatory networks in OA involving miR-140 along with key
regulators such as NF-?B, SMAD3, and RUNX2. The individual
models were created with the modelling standard, Systems
Biology Markup Language, and integrated to examine the overall
effect of miR-140 on cartilage homeostasis. Down-regulation of
miR-140 may have either detrimental or protective effects for
cartilage, indicating that the role of miR-140 is complex.
Studies of individual networks in isolation may therefore lead
to different conclusions. This indicated the need to combine
the five chosen individual networks involving miR-140 into an
integrated model. This model suggests that the overall effect
of miR-140 is to change the response to an IL-1 stimulus from a
prolonged increase in matrix degrading enzymes to a pulse-like
response so that cartilage degradation is temporary. Our
current model can easily be modified and extended as more
experimental data become available about the role of miR-140 in
OA. In addition, networks of other microRNAs that are important
in OA could be incorporated. A fully integrated model could not
only aid our understanding of the mechanisms of microRNAs in
ageing cartilage but could also provide a useful tool to
investigate the effect of potential interventions to prevent
cartilage loss.
This model is hosted on
BioModels Database
and identified by:
MODEL1705170002.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
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.
| MODEL1705170002 | BioModels
Project description:Proctor2017- Role of microRNAs in
osteoarthritis (Positive Feedback By Micro RNA)
This model is described in the article:
Computer simulation models
as a tool to investigate the role of microRNAs in
osteoarthritis.
Proctor CJ, Smith GR.
PLoS ONE 2017; 12(11): e0187568
Abstract:
The aim of this study was to show how computational models
can be used to increase our understanding of the role of
microRNAs in osteoarthritis (OA) using miR-140 as an example.
Bioinformatics analysis and experimental results from the
literature were used to create and calibrate models of gene
regulatory networks in OA involving miR-140 along with key
regulators such as NF-?B, SMAD3, and RUNX2. The individual
models were created with the modelling standard, Systems
Biology Markup Language, and integrated to examine the overall
effect of miR-140 on cartilage homeostasis. Down-regulation of
miR-140 may have either detrimental or protective effects for
cartilage, indicating that the role of miR-140 is complex.
Studies of individual networks in isolation may therefore lead
to different conclusions. This indicated the need to combine
the five chosen individual networks involving miR-140 into an
integrated model. This model suggests that the overall effect
of miR-140 is to change the response to an IL-1 stimulus from a
prolonged increase in matrix degrading enzymes to a pulse-like
response so that cartilage degradation is temporary. Our
current model can easily be modified and extended as more
experimental data become available about the role of miR-140 in
OA. In addition, networks of other microRNAs that are important
in OA could be incorporated. A fully integrated model could not
only aid our understanding of the mechanisms of microRNAs in
ageing cartilage but could also provide a useful tool to
investigate the effect of potential interventions to prevent
cartilage loss.
This model is hosted on
BioModels Database
and identified by:
MODEL1610100000.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
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.
2019-11-14 | BIOMD0000000862 | BioModels
Project description:Proctor2017- Role of microRNAs in
osteoarthritis (Positive Feedforward Incoherent By MicroRNA)
This model is described in the article:
Computer simulation models
as a tool to investigate the role of microRNAs in
osteoarthritis.
Proctor CJ, Smith GR.
PLoS ONE 2017; 12(11): e0187568
Abstract:
The aim of this study was to show how computational models
can be used to increase our understanding of the role of
microRNAs in osteoarthritis (OA) using miR-140 as an example.
Bioinformatics analysis and experimental results from the
literature were used to create and calibrate models of gene
regulatory networks in OA involving miR-140 along with key
regulators such as NF-?B, SMAD3, and RUNX2. The individual
models were created with the modelling standard, Systems
Biology Markup Language, and integrated to examine the overall
effect of miR-140 on cartilage homeostasis. Down-regulation of
miR-140 may have either detrimental or protective effects for
cartilage, indicating that the role of miR-140 is complex.
Studies of individual networks in isolation may therefore lead
to different conclusions. This indicated the need to combine
the five chosen individual networks involving miR-140 into an
integrated model. This model suggests that the overall effect
of miR-140 is to change the response to an IL-1 stimulus from a
prolonged increase in matrix degrading enzymes to a pulse-like
response so that cartilage degradation is temporary. Our
current model can easily be modified and extended as more
experimental data become available about the role of miR-140 in
OA. In addition, networks of other microRNAs that are important
in OA could be incorporated. A fully integrated model could not
only aid our understanding of the mechanisms of microRNAs in
ageing cartilage but could also provide a useful tool to
investigate the effect of potential interventions to prevent
cartilage loss.
This model is hosted on
BioModels Database
and identified by:
MODEL1610100004.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
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.
2019-11-14 | BIOMD0000000860 | BioModels
Project description:Proctor2017- Role of microRNAs in
osteoarthritis (Negative Feedback By MicroRNA)
This model is described in the article:
Computer simulation models
as a tool to investigate the role of microRNAs in
osteoarthritis.
Proctor CJ, Smith GR.
PLoS ONE 2017; 12(11): e0187568
Abstract:
The aim of this study was to show how computational models
can be used to increase our understanding of the role of
microRNAs in osteoarthritis (OA) using miR-140 as an example.
Bioinformatics analysis and experimental results from the
literature were used to create and calibrate models of gene
regulatory networks in OA involving miR-140 along with key
regulators such as NF-?B, SMAD3, and RUNX2. The individual
models were created with the modelling standard, Systems
Biology Markup Language, and integrated to examine the overall
effect of miR-140 on cartilage homeostasis. Down-regulation of
miR-140 may have either detrimental or protective effects for
cartilage, indicating that the role of miR-140 is complex.
Studies of individual networks in isolation may therefore lead
to different conclusions. This indicated the need to combine
the five chosen individual networks involving miR-140 into an
integrated model. This model suggests that the overall effect
of miR-140 is to change the response to an IL-1 stimulus from a
prolonged increase in matrix degrading enzymes to a pulse-like
response so that cartilage degradation is temporary. Our
current model can easily be modified and extended as more
experimental data become available about the role of miR-140 in
OA. In addition, networks of other microRNAs that are important
in OA could be incorporated. A fully integrated model could not
only aid our understanding of the mechanisms of microRNAs in
ageing cartilage but could also provide a useful tool to
investigate the effect of potential interventions to prevent
cartilage loss.
This model is hosted on
BioModels Database
and identified by:
MODEL1610100001.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
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.
2019-11-14 | BIOMD0000000864 | BioModels