Inhalation exposure of hexanal in rats (miRNA)
Ontology highlight
ABSTRACT:
ORGANISM(S): Rattus norvegicus
PROVIDER: GSE60203 | GEO | 2014/08/08
SECONDARY ACCESSION(S): PRJNA257748
REPOSITORIES: GEO
Similar Datasets
Project description:To further development of insight into the mechanism of toxicity, it is important to employ whole genome microarray expression profiling to identify and characterize miRNAs profiles as a discovery platform relevant for toxicologic mechanisms of hexanal. miRNAs have prominent role in cell cycle control, apoptosis, cancer development and proliferation-related processes. However, few reports have described the effect of hexanal on miRNA expression profiles using animal model. In this respect, we studied the expression profiles of miRNAs in hexanal-exposed in rats by miRNA microarray analysis. To evaluate the miRNA expression in lung tissue of rats after exposure of hexanal, Fischer-344 rats were inhaled to three concentrations (600, 1000, 1500 mg/m3) for 5 weeks. miRNA expression analysis was conducted using Rat miRNA 8 x 15K microarray v19.0 (Agilent Technologies, USA).
2014-08-08 | E-GEOD-60203 | biostudies-arrayexpress
Project description:To further development of insight into the mechanism of toxicity, it is important to employ whole genome microarray expression profiling as a discovery platform to ientify genes with the potential to distinguish hexanal exposure across an exposure range relevant for toxicologic mechanisms. However, few reports have described the effect of hexanal on gene expression profiles using animal model. In this respect, we studied the expression profiles of mRNAs in hexanal-exposed in rats by microarray analysis.
2014-08-06 | GSE60118 | GEO
Project description:To further development of insight into the mechanism of toxicity, it is important to employ whole genome microarray expression profiling to identify and characterize DNA methylation profiles as a discovery platform relevant for toxicologic mechanisms of hexanal. DNA methylation have prominent epigenetic role in regulation of gene expression, cell cycle control, apoptosis, cancer development and proliferation-related processes. However, few reports have described the effect of hexanal on DNA methylation expression profiles using animal model. In this respect, we studied the expression profiles of DNA methylation in hexanal-exposed in rats by DNA methylation microarray analysis.
2019-04-05 | GSE129313 | GEO
Project description:To further development of insight into the mechanism of toxicity, it is important to employ whole genome microarray expression profiling as a discovery platform to ientify genes with the potential to distinguish hexanal exposure across an exposure range relevant for toxicologic mechanisms. However, few reports have described the effect of hexanal on gene expression profiles using animal model. In this respect, we studied the expression profiles of mRNAs in hexanal-exposed in rats by microarray analysis. To evaluate the gene expression in lung tissue of rats after exposure of hexanal, Fischer-344 rats were inhaled to three concentrations (600, 1000, 1500 mg/m3) for 5 weeks. mRNA expression analysis was conducted using Rat GE(v3) 4X44K microarray (Agilent Technologies, USA).
2014-08-06 | E-GEOD-60118 | biostudies-arrayexpress
Project description:To gain deeper insight into the mechanism of toxicity, it is important to identify and characterize miRNAs profiles involved in responses to specific classes of toxicants in conjunction with their impact on gene expression levels. However, few reports have described the effects of toxicants on miRNA expression profiles. Taking into account the prominent role of miRNAs in cancer development, progression, cell cycle control, and proliferation-related processes, it is likely that miRNAs are involved in the toxic response induced by carcinogens. Polycyclic aromatic hydrocarbons (PAHs) are a well-characterized class of human carcinogens. In the present study, we documented the different expression profiles of miRNAs in environmental carcinogen-exposed HepG2 cells by miRNA microarray analysis.
2013-07-22 | GSE49068 | GEO
Project description:To gain deeper insight into the mechanism of toxicity, it is important to identify and characterize miRNAs profiles involved in responses to specific classes of toxicants in conjunction with their impact on gene expression levels. However, few reports have described the effects of toxicants on miRNA expression profiles. Taking into account the prominent role of miRNAs in cancer development, progression, cell cycle control, and proliferation-related processes, it is likely that miRNAs are involved in the toxic response induced by carcinogens. Polycyclic aromatic hydrocarbons (PAHs) are a well-characterized class of human carcinogens. In the present study, we documented the different expression profiles of miRNAs in environmental carcinogen-exposed HepG2 cells by miRNA microarray analysis. To evaluate the change in miRNA expression levels, human hepatocellular carcinoma (HepG2) cells were exposed to two PAHs (benzo[a]anthracene, benzo[k]fluoranthene) for 48 h. miRNA expression analysis was conducted using a 8x16k human miRNA microarray (Agilent Technologies, USA).
2013-07-22 | E-GEOD-49068 | biostudies-arrayexpress
Project description:Proctor2017 - Identifying microRNA for muscle regeneration during ageing (Mir1_in_muscle)
This model is described in the article:
Using computer simulation
models to investigate the most promising microRNAs to improve
muscle regeneration during ageing
Carole J. Proctor & Katarzyna
Goljanek-Whysall
Nature Scientific Reports
Abstract:
MicroRNAs (miRNAs) regulate gene expression through
interactions with target sites within mRNAs, leading to
enhanced degradation of the mRNA or inhibition of translation.
Skeletal muscle expresses many different miRNAs with important
roles in adulthood myogenesis (regeneration) and myofibre
hypertrophy and atrophy, processes associated with muscle
ageing. However, the large number of miRNAs and their targets
mean that a complex network of pathways exists, making it
difficult to predict the effect of selected miRNAs on
age-related muscle wasting. Computational modelling has the
potential to aid this process as it is possible to combine
models of individual miRNA:target interactions to form an
integrated network. As yet, no models of these interactions in
muscle exist. We created the first model of miRNA:target
interactions in myogenesis based on experimental evidence of
individual miRNAs which were next validated and used to make
testable predictions. Our model confirms that miRNAs regulate
key interactions during myogenesis and can act by promoting the
switch between quiescent/proliferating/differentiating
myoblasts and by maintaining the differentiation process. We
propose that a threshold level of miR-1 acts in the initial
switch to differentiation, with miR-181 keeping the switch on
and miR-378 maintaining the differentiation and miR-143
inhibiting myogenesis.
This model is hosted on
BioModels Database
and identified by:
MODEL1704110000.
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.
2017-09-26 | MODEL1704110000 | BioModels
Project description:Proctor2017 - Identifying microRNA for muscle regeneration during ageing (Mir378_in_muscle)
This model is described in the article:
Using computer simulation
models to investigate the most promising microRNAs to improve
muscle regeneration during ageing
Carole J. Proctor & Katarzyna
Goljanek-Whysall
Scientific Reports
Abstract:
MicroRNAs (miRNAs) regulate gene expression through
interactions with target sites within mRNAs, leading to
enhanced degradation of the mRNA or inhibition of translation.
Skeletal muscle expresses many different miRNAs with important
roles in adulthood myogenesis (regeneration) and myofibre
hypertrophy and atrophy, processes associated with muscle
ageing. However, the large number of miRNAs and their targets
mean that a complex network of pathways exists, making it
difficult to predict the effect of selected miRNAs on
age-related muscle wasting. Computational modelling has the
potential to aid this process as it is possible to combine
models of individual miRNA:target interactions to form an
integrated network. As yet, no models of these interactions in
muscle exist. We created the first model of miRNA:target
interactions in myogenesis based on experimental evidence of
individual miRNAs which were next validated and used to make
testable predictions. Our model confirms that miRNAs regulate
key interactions during myogenesis and can act by promoting the
switch between quiescent/proliferating/differentiating
myoblasts and by maintaining the differentiation process. We
propose that a threshold level of miR-1 acts in the initial
switch to differentiation, with miR-181 keeping the switch on
and miR-378 maintaining the differentiation and miR-143
inhibiting myogenesis.
This model is hosted on
BioModels Database
and identified by:
MODEL1704110002.
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.
2017-09-26 | MODEL1704110002 | BioModels
Project description:Proctor2017 - Identifying microRNA for muscle
regeneration during ageing (Mir143_in_muscle)
This model is described in the article:
Using computer simulation
models to investigate the most promising microRNAs to improve
muscle regeneration during ageing
Carole J. Proctor & Katarzyna
Goljanek-Whysall
Scientific Reports
Abstract:
MicroRNAs (miRNAs) regulate gene expression through
interactions with target sites within mRNAs, leading to
enhanced degradation of the mRNA or inhibition of translation.
Skeletal muscle expresses many different miRNAs with important
roles in adulthood myogenesis (regeneration) and myofibre
hypertrophy and atrophy, processes associated with muscle
ageing. However, the large number of miRNAs and their targets
mean that a complex network of pathways exists, making it
difficult to predict the effect of selected miRNAs on
age-related muscle wasting. Computational modelling has the
potential to aid this process as it is possible to combine
models of individual miRNA:target interactions to form an
integrated network. As yet, no models of these interactions in
muscle exist. We created the first model of miRNA:target
interactions in myogenesis based on experimental evidence of
individual miRNAs which were next validated and used to make
testable predictions. Our model confirms that miRNAs regulate
key interactions during myogenesis and can act by promoting the
switch between quiescent/proliferating/differentiating
myoblasts and by maintaining the differentiation process. We
propose that a threshold level of miR-1 acts in the initial
switch to differentiation, with miR-181 keeping the switch on
and miR-378 maintaining the differentiation and miR-143
inhibiting myogenesis.
This model is hosted on
BioModels Database
and identified by:
MODEL1704110003.
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.
2017-09-26 | MODEL1704110003 | BioModels
Project description:Proctor2017 - Identifying microRNA for muscle
regeneration during ageing (Mir181_in_muscle)
This model is described in the article:
Using computer simulation
models to investigate the most promising microRNAs to improve
muscle regeneration during ageing
Carole J. Proctor & Katarzyna
Goljanek-Whysall
Scientific Reports
Abstract:
MicroRNAs (miRNAs) regulate gene expression through
interactions with target sites within mRNAs, leading to
enhanced degradation of the mRNA or inhibition of translation.
Skeletal muscle expresses many different miRNAs with important
roles in adulthood myogenesis (regeneration) and myofibre
hypertrophy and atrophy, processes associated with muscle
ageing. However, the large number of miRNAs and their targets
mean that a complex network of pathways exists, making it
difficult to predict the effect of selected miRNAs on
age-related muscle wasting. Computational modelling has the
potential to aid this process as it is possible to combine
models of individual miRNA:target interactions to form an
integrated network. As yet, no models of these interactions in
muscle exist. We created the first model of miRNA:target
interactions in myogenesis based on experimental evidence of
individual miRNAs which were next validated and used to make
testable predictions. Our model confirms that miRNAs regulate
key interactions during myogenesis and can act by promoting the
switch between quiescent/proliferating/differentiating
myoblasts and by maintaining the differentiation process. We
propose that a threshold level of miR-1 acts in the initial
switch to differentiation, with miR-181 keeping the switch on
and miR-378 maintaining the differentiation and miR-143
inhibiting myogenesis.
This model is hosted on
BioModels Database
and identified by:
MODEL1704110001.
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.
2017-09-26 | MODEL1704110001 | BioModels