Ontology highlight
ABSTRACT:
PROVIDER: PRJNA956456 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Pathak2013 - MAPK activation in response to various biotic stresses
MAPK activation mechanism in response to various biotic (fungal and bacterial pathogens) stress conditions in plants
This model is described in the article:
Modeling of the MAPK machinery activation in response to various abiotic and biotic stresses in plants by a system biology approach.
Pathak RK, Taj G, Pandey D, Arora S, Kumar A.
Bioinformation 2013; 9(9): 443-449
Abstract:
Mitogen-Activated Protein Kinases (MAPKs) cascade plays an important role in regulating plant growth and development, generating cellular responses to the extracellular stimuli. MAPKs cascade mainly consist of three sub-families i.e. mitogen-activated protein kinase kinase kinase (MAPKKK), mitogen-activated protein kinase kinase (MAPKK) and mitogen activated protein kinase (MAPK), several cascades of which are activated by various abiotic and biotic stresses. In this work we have modeled the holistic molecular mechanisms essential to MAPKs activation in response to several abiotic and biotic stresses through a system biology approach and performed its simulation studies. As extent of abiotic and biotic stresses goes on increasing, the process of cell division, cell growth and cell differentiation slow down in time dependent manner. The models developed depict the combinatorial and multicomponent signaling triggered in response to several abiotic and biotic factors. These models can be used to predict behavior of cells in event of various stresses depending on their time and exposure through activation of complex signaling cascades.
This model is hosted on BioModels Database
and identified
by: BIOMD0000000492
.
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 | BIOMD0000000492 | BioModels
Project description:Stressors may have negative or positive effects in dependence of the dose (hormesis). We studied this phenomenon in Caenorhabditis elegans by applying weak or severe abiotic (cadmium, CdCl2) and/or biotic stress (different bacterial diets) during cultivation/breeding of the worms, and determining developmental speed or survival rates and performing transcriptome profiling and RT-qPCR analyses to explore the genetic basis of the detected phenotypic differences. This study showed that a bacterial diet resulting in higher levels of energy resources in the worms (E. coli OP50 feeding) or weak abiotic and biotic stress especially promote the resistance against severe abiotic or biotic stress and the age-specific survival rate of WT.
2018-12-01 | GSE123183 | GEO
Project description:Pathak2013 - MAPK activation in response to various abiotic stresses
MAPK activation mechanism in response to various abiotic stress conditions, such as cold, salt, drought, H2O2, heavy metal and ethylene, in plants
This model is described in the article:
Modeling of the MAPK machinery activation in response to various abiotic and biotic stresses in plants by a system biology approach.
Pathak RK, Taj G, Pandey D, Arora S, Kumar A.
Bioinformation 2013; 9(9): 443-449
Abstract:
Mitogen-Activated Protein Kinases (MAPKs) cascade plays an important role in regulating plant growth and development, generating cellular responses to the extracellular stimuli. MAPKs cascade mainly consist of three sub-families i.e. mitogen-activated protein kinase kinase kinase (MAPKKK), mitogen-activated protein kinase kinase (MAPKK) and mitogen activated protein kinase (MAPK), several cascades of which are activated by various abiotic and biotic stresses. In this work we have modeled the holistic molecular mechanisms essential to MAPKs activation in response to several abiotic and biotic stresses through a system biology approach and performed its simulation studies. As extent of abiotic and biotic stresses goes on increasing, the process of cell division, cell growth and cell differentiation slow down in time dependent manner. The models developed depict the combinatorial and multicomponent signaling triggered in response to several abiotic and biotic factors. These models can be used to predict behavior of cells in event of various stresses depending on their time and exposure through activation of complex signaling cascades.
This model is hosted on BioModels Database
and identified
by: BIOMD0000000491
.
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 | BIOMD0000000491 | BioModels
Project description:We aim to determine whether abiotic and biotic factors can influence the gene expression of tomato plants. We used thermotolerant (Nagcarlang) vs susceptible (Campbell) plants under three (Ta20, 26 and 32º) temperature conditions and viral (PepMV) infections, along with the MOCK treatment plants. Three plants per condition were sampled after 30 days post-inoculation and pooled, having three replicates (A, B and C).
2024-12-22 | E-MTAB-14117 | biostudies-arrayexpress
Project description:We aim to determine whether abiotic and biotic factors can influence the gene expression of zucchini plants. We used thermotolerant (Tiziano) vs susceptible (Milenio) plants under three (Ta20, 26 and 32º) temperature conditions and viral (WMV) infections, along with the MOCK treatment plants. Three plants per condition were sampled after 30 days post-inoculation and pooled, having three replicates (A, B and C).
2024-12-22 | E-MTAB-14118 | biostudies-arrayexpress
Project description:Pygoscelis papua Transcriptome or Gene expression
| PRJNA491755 | ENA
Project description:Pygoscelis papua Genome sequencing and assembly
| PRJNA722815 | ENA