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: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 (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 (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: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 (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: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
Project description:MicroRNAs (miRNAs) are important in the regulation of many biological processes such as growth and development. To evaluate the role of miRNAs in skeletal muscle regeneration, global miRNA expression was measured during muscle cell growth and differentiation. Primary cultures of murine myogenic progenitor cells (MPC) were studied for miRNA expression using quantitative PCR-array. During MPC differentiation or proliferation, 139 or 16 miRNAs, respectively, exhibited significant >2-fold changes. Cluster analysis revealed 5 distinct miRNA expression patterns at different stages of differentiation. Fourteen miRNAs exhibiting >10-fold change during differentiation included miR-1, 10b, 96, 98, 133a, 139-5p, 330, 335-3p, 339-5p, 344, 486, 499, 504, and 598. Ten of these miRNAs were located in introns of protein coding genes, such as miR-499 located in the myosin heavy chain isoform Myh7b. In silico analysis of possible miRNA-mRNA interactions indicated that many of these miRNAs targeted mRNA critically involved in muscle differentiation. Interestingly, several miRNAs targeted different sites in a given mRNA, suggesting coordinated expression of multiple miRNAs to ensure the regulation of essential genes. These results identify differentially expressed miRNAs that could represent new regulatory elements in MPC proliferation and differentiation. Myogenic progenitor cell (MPC) growth and differentiation are key elements duing muscle regeneration. Using defined culture conditions to promote proliferation or differentiation, we profiled miRNA expression in primary cultures of murine MPC.
2009-06-13 | E-GEOD-16473 | biostudies-arrayexpress
Project description:We report RNA-seq of skeletal muscle (quadriceps) of young (6-month), old (24-month), and senolytic (Dasatinib + quercetin) treated mice
2022-05-20 | GSE184348 | GEO