Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1250149 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR33127866_1.fastq.gz | Fastqsanger.gz | |||
| SRR33127866_2.fastq.gz | Fastqsanger.gz | |||
| SRR33127867_1.fastq.gz | Fastqsanger.gz | |||
| SRR33127867_2.fastq.gz | Fastqsanger.gz | |||
| SRR33127868_1.fastq.gz | Fastqsanger.gz |
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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) 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: 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.
2016-06-16 | GSE83404 | GEO
Project description:We sequenced the whole mRNA of six thoroughbred horse (Equus caballus) blood and muscle tissues before and after exercising, generating a total of 1.3 billion short reads with 90-bp pair-end sequences from 24 samples. Comparing with current genome annotation, we identified 32,361 unigene clusters spanning 51.83 Mb that contained 11,933 (36.87%) annotated genes. More than 60% (20,428) unigene clusters did not match any current equine gene model. We identified 189,973 single nucleotide variations (SNVs) from the aligned sequences against the horse reference. Most SNVs (171,558 SNVs; 90.31%) were novel compared with over 1.1 million equine SNPs from two databases. Some genes have significantly different expression levels under different environment. We define those identical genes which have different expression levels are ‘differentially expressed’ and carried out differentially expressed gene analysis before and after exercise conditions. We discovered, 62 up- and 80 down-regulated genes in the blood and 878 up- and 285 down-regulated genes in the muscle from the 24 samples. Six out of 28 previously exercise-related known genes, HIF1A, ADRB2, PPARD, VEGF, TNC, and BDNF, were highly expressed in the muscle after exercise. We discovered 56 functionally unknown transcription factors that are probably associated with an early regulatory exercise mechanism from 91 differentially expressed transcription factors. We found interesting RNA expression patterns where different alternative splicing forms of the same gene showed reversed expressions before and after exercising. whole mRNA sequencing profiles of six thoroughbred horse (Equus caballus) blood and muscle tissues before and after exercising
2013-05-01 | E-GEOD-37870 | biostudies-arrayexpress
Project description:The currently known homing pigeon is a result of a sharp one-sided selection for flight characteristics focused on speed, endurance, and spatial orientation. This has led to extremely well-adapted athletic phenotypes in racing birds. Here, we identify genes and pathways contributing to exercise adaptation in sport pigeons by applying next-generation transcriptome sequencing of m.pectoralis muscle samples, collected before and after a 300 km competition flight. The analysis of differentially expressed genes pictured the central role of pathways involved in fuel selection and muscle maintenance during flight, with a core set of genes: ARTN, NREP, CAV3, SLC25A30, SLC2A11. Variations in these genes may therefore be exploited for genetic improvement of the racing pigeon population towards specific categories of competition flights.
2023-01-15 | GSE222537 | GEO
Project description:The avian cerebellum is known for its relatively large size and high degree of development, functioning as a crucial region for multisensory integration and motor control, particularly important for flight. This study aimed to investigate changes in gene expression in the cerebellum of racing pigeons using RNA-Seq analysis. The researchers analyzed samples from 10 racing homers' cerebellums before and after a 300 km flight back to their loft. The findings revealed that flight induces ribosome impairment in the cerebellum, suggesting potential alterations in the protein synthesis machinery due to prolonged flight activity as response to stress and maintain homeostasis.
2024-11-20 | GSE282036 | GEO
Project description:This data represents whole transcriptome total RNA gene expression profiles of peripheral blood mononuclear cells collected from 29 advanced heart failure patients on the day before undergoing mechanical circulatory support surgery. Keywords = Advanced Heart Failure. Keywords = Mechanical Circulatory Support. Keywords = Biological Age. Keywords = PBMC. Keywords = Immune Response. Keywords = Peripheral Blood. Keywords =Organ Function. Keywords = Recovery. Organism: Homo sapiens. Type: Expression profiling by array. Platforms: Illumina HiSeq 2500.
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