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Ethanol alters microNA expression in zebrafish embryos

ABSTRACT: Prenatal exposure to ethanol leads to a myriad of developmental disorders known as fetal alcohol spectrum disorder, often characterized by growth and mental retardation, central nervous system damage and specific craniofacial dysmorphic features. Although the exact mechanisms of ethanol toxicity are not well understood it is known that ethanol exposure during development affects the expression of several genes involved in cell cycle control, apoptosis and transcription. MicroRNAs (miRNAs) are implicated in some of these processes however it is unclear if they are involved in ethanol-induced toxicity. Here we tested whether ethanol deregulates miRNA expression in zebrafish embryos and if a miRNA deregulation signature could be inferred. For this, zebrafish embryos were exposed to two different ethanol concentrations (1% and 1.5%) from 4 hours post-fertilization (hpf) to 24hpf. MicroRNA expression profiles revealed that ethanol exposure induces deregulation of miRNA expression significantly. Seven miRNAs are commonly up-regulated after both ethanol treatments, namely miR-153a, miR-725, miR-30d, let-7k, miR-100, miR-738 and miR-732, whereas downregulation of miR-23a, miR-203, let-7c, miR-128 and miR-193b is detected after 1% ethanol exposure only. Target prediction of deregulated miRNAs shows that putative targets are involved in cell cycle control, apoptosis and transcription, which are the main processes affected by ethanol toxicity. The overall study shows that the effects of ethanol on miRNA deregulation are dose-dependent and that miRNAs are relevant in the context of alcohol toxicity. Moreover, a miRNA toxicity signature for embryonic ethanol exposure was obtained.

ORGANISM(S): Rattus norvegicus Mus musculus Takifugu rubripes Danio rerio Gallus gallus Homo sapiens Caenorhabditis elegans Drosophila melanogaster

PROVIDER: GSE32632 | GEO | 2012/06/18

SECONDARY ACCESSION(S): PRJNA146975

REPOSITORIES: GEO

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Project description:Prenatal exposure to ethanol leads to a myriad of developmental disorders known as fetal alcohol spectrum disorder, often characterized by growth and mental retardation, central nervous system damage and specific craniofacial dysmorphic features. Although the exact mechanisms of ethanol toxicity are not well understood it is known that ethanol exposure during development affects the expression of several genes involved in cell cycle control, apoptosis and transcription. MicroRNAs (miRNAs) are implicated in some of these processes however it is unclear if they are involved in ethanol-induced toxicity. Here we tested whether ethanol deregulates miRNA expression in zebrafish embryos and if a miRNA deregulation signature could be inferred. For this, zebrafish embryos were exposed to two different ethanol concentrations (1% and 1.5%) from 4 hours post-fertilization (hpf) to 24hpf. MicroRNA expression profiles revealed that ethanol exposure induces deregulation of miRNA expression significantly. Seven miRNAs are commonly up-regulated after both ethanol treatments, namely miR-153a, miR-725, miR-30d, let-7k, miR-100, miR-738 and miR-732, whereas downregulation of miR-23a, miR-203, let-7c, miR-128 and miR-193b is detected after 1% ethanol exposure only. Target prediction of deregulated miRNAs shows that putative targets are involved in cell cycle control, apoptosis and transcription, which are the main processes affected by ethanol toxicity. The overall study shows that the effects of ethanol on miRNA deregulation are dose-dependent and that miRNAs are relevant in the context of alcohol toxicity. Moreover, a miRNA toxicity signature for embryonic ethanol exposure was obtained. Zebrafish embryos were obtained from spawning adults in groups of about 10 males and 10 females. Zebrafish embryos were collected and Petri dishes with approximately 250 eggs each were incubated at 28M-BM-:C to allow normal zebrafish development until 4hpf, when blastula is reached. At this stage, embryos were examined under a dissecting microscope and those that had developed normally were selected for EtOH exposure (approximately 200 eggs). Briefly, 200 embryos were randomly distributed into plastic Petri dishes containing 20 mL of EtOH test solutions (1% EtOH, 1.5% EtOH). All solutions were made by dilution of absolute EtOH in system water. Exposure was from 4hpf to 24hpf. At this stage, solutions were changed by system water and embryos were allowed to grow until 24hpf. The control group was allowed to grow in plain system water. Zebrafish embryos were collected at 24hpf for microarray analysis. Two biological replicates were performed for each assay.

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.

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.

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.

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Ethanol alters microNA expression in zebrafish embryos

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