Differential expression and correlation analysis of miRNA–mRNA profiles in longissimus dorsi of different stage goats
Ontology highlight
ABSTRACT:
ORGANISM(S): Capra hircus
PROVIDER: GSE217092 | GEO | 2022/11/09
REPOSITORIES: GEO
Similar Datasets
Project description:MicroRNAs (miRNAs) are small (∼22 nucleotides) noncoding ribonucleic acids (RNAs) that regulate gene expression by binding to their complementary sequences. Recent years, a great deal of miRNAs which highly-enriched in skeletal muscle have been identified, which can influence multiple facets of muscle development and function through their regulation of key genes controlling myogenesis. However, to date no miRNAs have been reported to modulate muscle development in goat. Total RNAs from the xuhuai goats longissimus thoracis at fetal and six month old stages were used to construct small RNA libraries for Solexa SBS technology sequencing. In the small RNA profile, a total of 15,627,457 clean reads were obtained from the fetal goat library and 15,593,721 clean reads from the six month old goat library. There are 471 conserved miRNAs overlapped in both libraries, of which 343 miRNAs were differential expressed. We identified 122 novel miRNAs in the fetal caprine library and 53 novel miRNAs in the six month old-caprine library.
2015-07-19 | GSE49260 | GEO
Project description:Studies of the miRNA expression profiles associated with the postnatal late growth, development and aging of skeletal muscle are lacking in sika deer. To understand the molecular mechanisms of the growth and development of sika deer skeletal muscle, we used de novo RNA-seq analyses to determine the differential expression of miRNAs from skeletal muscle tissues at 1, 3, 5, and 10-year-old in sika deer. A total of 171 known miRNAs and 60 novel miRNAs were identified based on four small RNA libraries. 11 miRNAs were differentially expressed between adolescence and juvenile sika deer, 4 miRNAs were differentially expressed between adult and adolescence sika deer, and 1 miRNAs were differentially expressed between aged and adult sika deer. GO and KEGG analyses showed that miRNA were mainly related to energy and substance metabolism, processes that are closely associate with growth, development and aging of skeletal muscle. We also constructed mRNA-mRNA and miRNA-mRNA interaction networks related to growth, development and aging of skeletal muscle. The results showed that miR-133a, miR-133c, miR-192, miR-151-3p etc. may play important roles in muscle growth and development, and miR-17-5p, miR-378b, miR-199a-5p, miR-7 etc. may have key roles in muscle aging. In this study, we determined the dynamic miRNA in muscle tissue for the first time in sika deer. The age-dependent miRNAs identified will offer insights into the molecular mechanism underlying muscle development, growth and maintenance and also provide valuable information for sika deer genetic breeding.
2020-01-11 | GSE142978 | GEO
Project description:Cancer cachexia is a multifactorial metabolic syndrome defined by the rapid loss of skeletal muscle mass and the loss of fat mass. Up 80% of cancer patients at the late stage with cachexia suffer from progressive atrophy of adipose tissue. Unlike studies on skeletal muscle wasting, there is limited research on fat loss in cachexia. It was noted that most patients suffer from fat loss as cancer progress. Fat loss precedes muscle loss, is associated with shorter survival, and is variable to timing and intensity in various cancer populations. Increased lipolysis may be the leading cause of fat loss in cancer cachexia. miRNAs are a class of non-coding RNAs of 19~25 nucleotides that regulate gene silencing by interacting with the 3’ untranslated region (UTR) of target mRNA to cause mRNA degradation and translational repression. miRNAs play multifaceted roles in pancreatic cancer proliferation, survival, metastasis, and chemoresistance. Aberrant expression of miRNA in circulating exosomes may play potential roles in modulating fat loss in cancer cachexia. We identified 2 miRNAs, miR-16 and miR-29, which have 2-fold higher expression existed in at PDAC cells. To explore which genes in adipogenesis and lipolysis were directly affected by miR-16-5p or/and miR-29a-3p, we analyzed the targets which were down-regulated in both miR-16-5p and miR-29a-3p-transfected 3T3-L1 cells by mass analysis.
2024-06-13 | PXD037998 | Pride
Project description:Cancer cachexia is a multifactorial metabolic syndrome defined by the rapid loss of skeletal muscle mass and the loss of fat mass. Up 80% of cancer patients at the late stage with cachexia suffer from progressive atrophy of adipose tissue. Unlike studies on skeletal muscle wasting, there is limited research on fat loss in cachexia. It was noted that most patients suffer from fat loss as cancer progress. Fat loss precedes muscle loss, is associated with shorter survival, and is variable to timing and intensity in various cancer populations. Increased lipolysis may be the leading cause of fat loss in cancer cachexia. miRNAs are a class of non-coding RNAs of 19~25 nucleotides that regulate gene silencing by interacting with the 3’ untranslated region (UTR) of target mRNA to cause mRNA degradation and translational repression. miRNAs play multifaceted roles in pancreatic cancer proliferation, survival, metastasis, and chemoresistance. Aberrant expression of miRNA in circulating exosomes may play potential roles in modulating fat loss in cancer cachexia. We identified 2 miRNAs, miR-16 and miR-29, which have 2-fold higher expression existed in at PDAC cells. To explore which genes in adipogenesis and lipolysis were directly affected by miR-16-5p or/and miR-29a-3p, we analyzed the targets which were down-regulated in both miR-16-5p and miR-29a-3p-transfected 3T3-L1 cells by mass analysis.
2024-06-13 | PXD037862 | Pride
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
Project description:Proctor2017 - Identifying microRNA for muscle
regeneration during ageing (Mirs_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:
MODEL1704110004.
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 | MODEL1704110004 | BioModels
Project description:In the present study we examined the expression profile of microRNA in rat primary skeletal muscle cells (RSkMC) treated with IL-8, a chemokine and an angiogenic factor, which is released in visceral adipose tissue, but also found in contracting skeletal muscles. The miRNA microarray analysis revealed increased expression of 5 miRNA species, which were not yet described in skeletal muscle, in RSkMC exposed to IL-8 (1 ng/ml) for 11 days of differentiation. In order to verify the microarray data, qRT-PCR analysis was performed to quantify miRNA expression. We confirmed the increased expression of miR-154-3p (fold change =1.91), miR-541-5p (fold change =1.36), miR-376c-3p (fold change =1.84), and miR-338-3p (fold change =1.6), whereas let-7a-1-3p did not show a significant change in expression, in comparison to control group. Using Target Scan database we found potential targets for all miRNAs with expression modified by IL-8 and focused our further interest on genes and pathways involved in skeletal muscle hypertrophy, that is: myocilin, PKB/Akt and FoxO3.
2019-04-25 | GSE117413 | GEO