Ontology highlight
ABSTRACT:
PROVIDER: PRJNA787432 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR17177923.fastq.gz | Fastqsanger.gz | |||
| SRR17177923_1.fastq.gz | Fastqsanger.gz | |||
| SRR17177923_2.fastq.gz | Fastqsanger.gz | |||
| SRR17177924.fastq.gz | Fastqsanger.gz | |||
| SRR17177924_1.fastq.gz | Fastqsanger.gz |
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Project description:Report transcritpome analysis of Arabian horses before and after exercise
2019-01-23 | GSE104388 | GEO
Project description:Purpose: Next-generation sequencing (NGS) was used to select genes potentially associated with exercise adaptation in Arabian horses. Methods: Whole transcriptome profiling of blood was performed for untrained horses and horses from which samples were collected during at 3 different periods of training procedure (T1-during intense training period - March, T2- before starts - May and T3 -after flat racing season - October). The muscle transcriptome sequencing was performed for 37 blood samples using Illumina HiScan SQ in 75 single-end cycles. The quantifying transcript abundances was made using the RSEM supported by STAR aligner. The raw reads were aligned to the Equus caballus reference genome. Differentially expressed genes in blood tissue were detected by DESeq2. The RNA-seq results were validated using by qPCR. Results: The increase of the number of DEGs between subsequent training periods has been observed and the highest amount of DEGs was detected between untrained horses (T0) and horses at the end of the racing season (T3) â 440. The comparison of transcriptome of T2 vs T3 and T0 vs T3 showed a significant advantage of up-regulated genes during long-term exercise (up-regulation of 266 and 389 DEGs in T3 period compared T2 and T0; respectively). Our results showed that the largest number of identified genes encoded transcription factors, nucleic acid binding proteins and G-protein modulators, which mainly were transcriptional activated at the last training phase (T3) . Moreover, in the T3 period the identified DEGs represented genes coded for cytoskeletal proteins including actin cytoskeletal proteins and kinases. The most abundant exercise-upregulated genes were involved in pathways important in regulating the cell cycle (PI3K-Akt signaling pathway), cell communication (cAMP-dependent pathway), proliferation, differentiation and apoptosis as well as immunity processes (Jak-STAT signaling pathway). We also observed exercise induced expression of genes related in regulation of actin cytoskeleton, gluconeogenesis (FoxO signaling pathway; Insulin signaling pathway), glycerophospholipid metabolism and calcium signaling. Conclusions: TOur results allow to identify changes in genes expression profile following training schedule in Arabian horses. Based on comparison analysis of blood transcriptomes, several exercise-regulated pathways and genes most affected by exercise were detected. We pinpointed overrepresented molecular pathways and genes essential for exercise adaptive response via maintaining of body homeostasis. The observed transcriptional activation of such gene as LPGAT1, AGPAT5, PIK3CG, GPD2, FOXN2, FOXO3, ACVR1B and ACVR2A can be a base for further research in order to identify genes potentially associated with race performance in Arabian horses. Such markers will be essential to choice the training type, and could result in differences in racing performance specific to various breeds. The blood transcriptome sequencing was performed for 37 samples collected form Arabian horses using Illumina HiScan SQ in75 single-end cycles and in 3-4 technical repetitions.repetitions.
2016-06-16 | E-GEOD-83404 | biostudies-arrayexpress
Project description:Purpose: RNA-sequencing (RNA-seq) was used to identify the changes in gene expression profile to describe the metabolism adaptation at the whole transcriptome of blood to endurance effort. Samples from ten Arabian horses were taken before and after a 120km long endurance ride.
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Project description:The adaptive response to extreme endurance exercise might involve transcriptional and translational regulation by microRNAs (miRNAs). Therefore, the aim of this study was to define an integrative analysis of blood transcriptome and miRNome in horses before and after a long endurance ride (160 km) using equine microarrays. A total of 2,453 genes and 162 miRNAs were found to be differentially expressed (DEG) between animals at rest and after the endurance ride. To gain understanding of the biological functions regulated by the differentially expressed miRNA, we used a hypergeometric test analysis. Notably, we detected 42 differentially expressed miRNAs that putatively regulate a total of 350 depleted DEGs, involved in glucose metabolism, fatty acid oxidation, mitochondrion biogenesis, and immune response pathways. Graphical Gaussian models in an independent validation set of animals confirmed that 4 miRNAs could be strong candidate regulatory molecules for endurance exercise adaptation. This study represents, to the best of our knowledge, the first integrated comprehensive overview of the miRNA-mRNA co-regulation networks that may play a central role in controlling post-transcriptomic regulations during endurance exercise in horses. Sixty-one Arabian or half-breed Arabian horses (20 females and 41 geldings) aged 10 ± 2 years (±SEM) were recruited on voluntary basis of the owner on three 160 km endurance rides.
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Project description:The adaptive response to extreme endurance exercise might involve transcriptional and translational regulation by microRNAs (miRNAs). Therefore, the aim of this study was to define an integrative analysis of blood transcriptome and miRNome in horses before and after a long endurance ride (160 km) using equine microarrays. A total of 2,453 genes and 162 miRNAs were found to be differentially expressed (DEG) between animals at rest and after the endurance ride. To gain understanding of the biological functions regulated by the differentially expressed miRNA, we used a hypergeometric test analysis. Notably, we detected 42 differentially expressed miRNAs that putatively regulate a total of 350 depleted DEGs, involved in glucose metabolism, fatty acid oxidation, mitochondrion biogenesis, and immune response pathways. Graphical Gaussian models in an independent validation set of animals confirmed that 4 miRNAs could be strong candidate regulatory molecules for endurance exercise adaptation. This study represents, to the best of our knowledge, the first integrated comprehensive overview of the miRNA-mRNA co-regulation networks that may play a central role in controlling post-transcriptomic regulations during endurance exercise in horses. Sixty-one Arabian or half-breed Arabian horses (20 females and 41 geldings) aged 10 ± 2 years (±SEM) were recruited on voluntary basis of the owner on three 160 km endurance rides.
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Project description:Purpose: Next-generation sequencing (NGS) was used to select genes potentially associated with exercise adaptation in Arabian horses. Methods: Whole transcriptome profiling of blood was performed for untrained horses and horses from which samples were collected during at 3 different periods of training procedure (T1-during intense training period - March, T2- before starts - May and T3 -after flat racing season - October). The muscle transcriptome sequencing was performed for 37 blood samples using Illumina HiScan SQ in 75 single-end cycles. The quantifying transcript abundances was made using the RSEM supported by STAR aligner. The raw reads were aligned to the Equus caballus reference genome. Differentially expressed genes in blood tissue were detected by DESeq2. The RNA-seq results were validated using by qPCR. Results: The increase of the number of DEGs between subsequent training periods has been observed and the highest amount of DEGs was detected between untrained horses (T0) and horses at the end of the racing season (T3) – 440. The comparison of transcriptome of T2 vs T3 and T0 vs T3 showed a significant advantage of up-regulated genes during long-term exercise (up-regulation of 266 and 389 DEGs in T3 period compared T2 and T0; respectively). Our results showed that the largest number of identified genes encoded transcription factors, nucleic acid binding proteins and G-protein modulators, which mainly were transcriptional activated at the last training phase (T3) . Moreover, in the T3 period the identified DEGs represented genes coded for cytoskeletal proteins including actin cytoskeletal proteins and kinases. The most abundant exercise-upregulated genes were involved in pathways important in regulating the cell cycle (PI3K-Akt signaling pathway), cell communication (cAMP-dependent pathway), proliferation, differentiation and apoptosis as well as immunity processes (Jak-STAT signaling pathway). We also observed exercise induced expression of genes related in regulation of actin cytoskeleton, gluconeogenesis (FoxO signaling pathway; Insulin signaling pathway), glycerophospholipid metabolism and calcium signaling. Conclusions: TOur results allow to identify changes in genes expression profile following training schedule in Arabian horses. Based on comparison analysis of blood transcriptomes, several exercise-regulated pathways and genes most affected by exercise were detected. We pinpointed overrepresented molecular pathways and genes essential for exercise adaptive response via maintaining of body homeostasis. The observed transcriptional activation of such gene as LPGAT1, AGPAT5, PIK3CG, GPD2, FOXN2, FOXO3, ACVR1B and ACVR2A can be a base for further research in order to identify genes potentially associated with race performance in Arabian horses. Such markers will be essential to choice the training type, and could result in differences in racing performance specific to various breeds.
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