Scleral miRNA profiles in adult and fetal eyes
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE46435 | GEO | 2017/02/09
SECONDARY ACCESSION(S): PRJNA200336
REPOSITORIES: GEO
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Project description:The study aim was to determine microRNA (miRNA) expression profiles of ocular tissues in form-deprivation induced myopia (FDM) mice. Form-deprivation myopia was induced in C57BL/6Jmice over the right eye; the contralateral left eyes were used as controls. Whole genome microRNA expression profiles in myopic whole eye, retina, and sclera were determined using the Agilent mouse miRNA microarray. The normalized microarray data were performed ANOVA test to identify differences in miRNA expression between myopic and control eyes. The differential expression for selected miRNAs was validated by quantitative real time PCR (qRT-PCR).
2014-12-31 | GSE58124 | GEO
Project description:Scleritis is a severe inflammatory ocular disorder with unknown pathogenesis. Using a mass spectrometry approach, we investigated healthy sclera and sclera affected by non-infectious scleritis for differentially expressed proteins. Therefore, we collected scleral samples of enucleated eyes due to severe non-infectious scleritis (n=3) and control scleral tissues (n=5), all exenterated eyes for eyelid carcinomas without scleral invasion. Nano LC-MS mass spectrometry identified 629 proteins within the healthy and diseased scleral tissues, of which collagen type I was the most abundantly expressed protein. Collagen type II-XII was also present. Filaggrin-2, a protein that plays a crucial role in epidermal barrier function, was upregulated in all scleritis cases. In addition, other epithelial-associated proteins were upregulated (such as Keratin 33b, 34, and 85, Epiplakin, transglutaminase-3, Galectin 7, and Caspase-14) in scleritis. Further, upregulated proteins involved in regulation of the cytoskeleton (Vinculin and Myosin 9) and housekeeping proteins were found (elongation factor-2 and cytoplasmic dynein 1). We selected two proteins for validation with immunohistochemistry: Fillagrin-2 and myosin 9. Upregulation of both proteins was confirmed, the latter protein showing co-localization with the endothelial cell marker ETC-related gene (ERG), indicating neovascularization in scleral tissue affected in scleritis. Further research, preferably with multiple scleritis cases, is needed to validate our findings, including identification of the specific role of Filaggrin-2 and angiogenesis in the pathogenesis of scleritis.
2023-05-10 | PXD038727 | Pride
Project description:Although there have been studies conducted on cornea and retina growth and development, postnatal gene expression studies on sclera growth during postnatal growth has not been well characterised. Given that the mouse genome has 85% homology to the human genome and has been completely sequenced, mouse model for the study of ocular growth has advantages over other animal models. Thus, we aimed to study the biology and genetics behind sclera growth during post-natal development in Balb/cJ mice as a means to understand genetic changes that cause scleral growth and development during post-natal eye development The purpose of this study was to identify the genes underlying the development of mouse sclera post-natal growth of the posterior chamber of the eye using microarray Total RNA was isolated from single cryogenically ground mouse sclera (n=30, 6 samples each from week 1-, 2-, 3-, 6-and 8-old mice), reverse-transcribed and hybridized onto a Affymetrix mouse gene 1.0 ST array.We sought to use microarray to determine the gene expression profiles of mouse sclera from different age groups and identify the developmental genes that are involved in postnatal ocular growth.
2011-03-22 | E-GEOD-28056 | biostudies-arrayexpress
Project description:To identify to identify target tissues and molecules involved with refractive myopic shift and axial length elongation in a murine lens-induced myopia model, we performed comprehensive analysis by microRNA array. Negative 30diptor (-30D) lens was fixed on right eye (-30D) of C57BL/6J mice (3weeks old, N=3) for 3 weeks, the refraction and the axial length were measured using a refractometer and a SD-OCT system in all eyes. Eye balls were enucleated and separated to cornea, iris, lens, retina, choroid and sclera. Total RNA was extracted from individual ocular components. MicroRNA expression analysis was carried out using Agilent Mouse miRNA Microarray (8×60K) miRBase21.0 (Agilent). Expression ratio calculation and miRNA varying expression were extracted by GeneSpring GX 14.5 (Agilent). After 3weeks of lens fixing, a refractive change and an axial length elongation change were observed (Normal vs -30D: 0.95 ± 1.85D vs -18.42 ± 3.98D, 0.155 mm ± 0.015mm vs 0.273 ± 0.009 mm), respectively. MiRNA expression changes that induced only by -30D lens fixing was confirmed in each part of the eyeball. By expression ratio calculation and miRNA varying expression analysis, upregulated miRNA (56 in cornea, 13 in iris, 6 in lens, 0 in retina, 29 in choroid and 30 in sclera) and downregulated miRNA (7 in cornea, 28 in iris, 17 in lens, 9 in retina, 7 in choroid and 40 in sclera) were observed. Overlapping miRNAs were also found while each eye tissues. In this study, miRNA varying expression were observed in each ocular part of the murine lens-induced myopia model. These miRNAs dysregulation may be functionally involved with the refractive myopia shift and the axial length elongation.
2019-05-29 | GSE131831 | GEO
Project description:Although there have been studies conducted on cornea and retina growth and development, postnatal gene expression studies on sclera growth during postnatal growth has not been well characterised. Given that the mouse genome has 85% homology to the human genome and has been completely sequenced, mouse model for the study of ocular growth has advantages over other animal models. Thus, we aimed to study the biology and genetics behind sclera growth during post-natal development in Balb/cJ mice as a means to understand genetic changes that cause scleral growth and development during post-natal eye development The purpose of this study was to identify the genes underlying the development of mouse sclera post-natal growth of the posterior chamber of the eye using microarray
2011-03-22 | GSE28056 | GEO
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 (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 (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