MicroRNA array analysis during the regenerative peak following rat liver resection
Ontology highlight
ABSTRACT:
ORGANISM(S): Rattus norvegicus
PROVIDER: GSE23696 | GEO | 2011/03/28
SECONDARY ACCESSION(S): PRJNA130869
REPOSITORIES: GEO
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Project description:The liver has the unique capacity to regenerate after surgical resection. However, the regulation of liver regeneration is not completely understood. We performed miRNA microarray analyses of liver tissue from Wistar rats at different time points after 70% partial hepatectomy (0, 2, 6, 12, 24, 48 hours, and 5 days) and after sham laparotomy (12, 24, and 48 hours). We demonstrate that miRNA expression patterns changed during liver regeneration and that these changes were most evident during the peak of DNA replication at 24 hours after resection. Expression of 13 miRNAs, including five members of the let-7 family, was significantly reduced 12-48 hours after resection, whereas 3 miRNAs were significantly upregulated (> 25% change). We provide a temporal miRNA expression dataset of the regenerating rat liver, which indicates a primary function for miRNA during the peak of DNA replication. These data will assist further functional studies on the role of miRNAs during liver regeneration. This project analyzed the miRNA expression in 30 different sample types of the organism rattus norvegicus. The miRNA expression was compared at 7 different growth time points after liver resection (0, 2, 6, 12, 24, 48 hours, 5 days) and at 3 different time points after sham laparotomy (12, 24, and 48 hours). Three biological replicates were used per time point.
2011-03-28 | E-GEOD-23696 | biostudies-arrayexpress
Project description:To query the relationship between miRNA profiles and deficits in liver mass after PH and the miRNAs linked to liver regeneration, we compared the miRNA expression profile after 2/3 PH, a standard procedure that leads to robust DNA synthesis, with that after 1/3 PH, a procedure that causes minimal replication. The patterns and dynamics of miRNA profiles after PH were featured, providing a rich resource of miRNAs underlying mechanisms of liver regeneration. We generated miRNA profiles from normal and remnant livers at 6, 12, 24, and 36 hours after 1/3 or 2/3PH using microarrays. Two or three rats were used at each time.
2016-04-06 | E-GEOD-79983 | biostudies-arrayexpress
Project description:Defining conserved molecular pathways in animal models of successful cardiac regeneration could yield insight into why adult mammals have inadequate cardiac regeneration after injury. Here we describe a cross-species transcriptomic screen to identify evolutionarily conserved pathways in the early events of cardiac regeneration in three species that can regenerate myocardium after a major injury. In this study, we performed RNA-seq on regenerating hearts from three model organisms - axolotl, zebrafish and mouse. Apical resection was performed to amputate ~10 - 20% of the left ventricle in all three model organisms. Following resection, hearts were harvested at 12, 24 and 48 hours post-resection and subjected to RNA-seq. RNA-seq on sham controls (no ventricular amputation) was used as interanal control. This approach revealed upregulation of inflammatory genes in all three organisms during regeneration. Furthermore, upregulation of Complement 5a receptor1 (C5aR1) expression in the regenerating hearts of zebrafish, axolotls and mice was observed.
2018-02-01 | GSE108493 | GEO
Project description:Liver is one of the few organs that have the capacity to regenerate in response to injury. We carried out genome-wide miRNA microarray studies during liver regeneration in rats after 70% partial hepatectomy (PH) at early and mid-time points to more thoroughly understand their role. At 3, 12 and 18 hrs post-PH ~ 40% of the miRNAs tested were up-regulated. Conversely, at 24 hrs post-PH, ~ 70% of miRNAs were down-regulated. Further, we established that the genome-wide down-regulation of miRNA expression at 24 hrs was also correlated with decreased expression of genes such as Rnasen, Dgcr8, Dicer, Tarbp2 and Prkra that are associated with miRNA biogenesis. To determine if a potential negative feedback loop between miRNAs and their regulatory genes existed, 11 candidate miRNAs which were predicted to target the above genes were examined and found to be up-regulated at 3 hrs post-PH. Using reporter and functional assays, we determined that expression of these miRNA-processing genes could be regulated by a subset of miRNAs and some miRNAs could target multiple miRNA biogenesis genes simultaneously. We also demonstrated that over-expression of these miRNAs inhibited cell proliferation and modulated the cell cycle in both Huh-7 human hepatoma cells and primary rat hepatocytes. From these observations, we postulated that selective up-regulation of miRNAs in the early-phase after PH was involved in the priming and commitment to liver regeneration, while the subsequent genome-wide down-regulation of miRNAs was required for efficient recovery of liver cell mass. Conclusion: Our data suggest that miRNA changes are regulated by negative feedback loops between miRNAs and their regulatory genes that may play an important role in the steady-state regulation of liver regeneration. Sham and Partial Hepatectomized livers at various time points.
2011-06-01 | E-GEOD-28404 | biostudies-arrayexpress
Project description:Liver is one of the few organs that have the capacity to regenerate in response to injury. We carried out genome-wide miRNA microarray studies during liver regeneration in rats after 70% partial hepatectomy (PH) at early and mid-time points to more thoroughly understand their role. At 3, 12 and 18 hrs post-PH ~ 40% of the miRNAs tested were up-regulated. Conversely, at 24 hrs post-PH, ~ 70% of miRNAs were down-regulated. Further, we established that the genome-wide down-regulation of miRNA expression at 24 hrs was also correlated with decreased expression of genes such as Rnasen, Dgcr8, Dicer, Tarbp2 and Prkra that are associated with miRNA biogenesis. To determine if a potential negative feedback loop between miRNAs and their regulatory genes existed, 11 candidate miRNAs which were predicted to target the above genes were examined and found to be up-regulated at 3 hrs post-PH. Using reporter and functional assays, we determined that expression of these miRNA-processing genes could be regulated by a subset of miRNAs and some miRNAs could target multiple miRNA biogenesis genes simultaneously. We also demonstrated that over-expression of these miRNAs inhibited cell proliferation and modulated the cell cycle in both Huh-7 human hepatoma cells and primary rat hepatocytes. From these observations, we postulated that selective up-regulation of miRNAs in the early-phase after PH was involved in the priming and commitment to liver regeneration, while the subsequent genome-wide down-regulation of miRNAs was required for efficient recovery of liver cell mass. Conclusion: Our data suggest that miRNA changes are regulated by negative feedback loops between miRNAs and their regulatory genes that may play an important role in the steady-state regulation of liver regeneration.
2011-06-01 | GSE28404 | GEO
Project description:Genome wide transcriptional profiling on liver mRNA retrieved from recombinant adenovirus A20 (rAd.A20) and rAd.bgalactosidase transduced livers, before and 24 hours after 78% extended liver resection. Overexpression of the NF-kB inhibitory protein A20 improves recovery of liver function and mass following extended liver resection and severe liver ischemia reperfusion injury in mice. In this project, we explored effects of A20 using transcriptional profiling on liver mRNA retrieved from recombinant adenovirus A20 (rAd.A20) and rAd.bgalactosidase transduced livers, before and 24 hours after 78% extended liver resection.
2010-09-18 | GSE24203 | GEO
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 (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
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