Different expression of circulating microRNA profile in Tibetan OSAHS with Metabolic Syndrome patients
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ABSTRACT:
PROVIDER: PRJNA1147218 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR30230451.fastq.gz | Fastqsanger.gz | |||
| SRR30230452.fastq.gz | Fastqsanger.gz | |||
| SRR30230453.fastq.gz | Fastqsanger.gz | |||
| SRR30230454.fastq.gz | Fastqsanger.gz | |||
| SRR30230455.fastq.gz | Fastqsanger.gz |
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Project description:Metabolic syndrome is a common and complicated metabolic disorder and defined as a clustering of metabolic risk factors such as insulin resistance or diabetes, obesity, hypertension, and hyperlipidemia. The identification of accurate and effective biomarkers is beneficial to the early diagnosis and treatment of metabolic syndrome. Our study firstly detected the plasma miRNA expression profile of MetS patients compared with control group by high-throughput sequencing and integrated bioinformatics approaches. To our best knowledge, our study firstly perform high-throughput sequencing to obtain the circulating microRNA expression data in MetS plasma, and identified several potential plasma biomarkers for MetS.
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Project description:OSAHS is a complex,synthetical disease that can lead to multiple system and multiple organ damage as the disease progresses.Metabolic syndrome is the most common complication, but the symptoms at different stages of the disease are different.It is known that miRNAs can be stably in the serum and changes during the development of the disease.Therefore, we speculate that serum miRNAs could biomarkers for OSAHS diagnosis and progression judgment. We used microarrays to detail the miRNA expression of simple OSAHS patients, OSAHS patients with hypertension and healthy controls, and screened out the miRNAs that were differentially expressed between the two groups.
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Project description:In this study, miRNA-seq technique was used to identify differentially expressed miRNAs (DE miRNAs) in cardiac muscle of the Tibetan pig (TP) and Yorkshire pig (YP), which were both raised in highland environments. We obtained 108 M clean reads and 372 unique miRNAs that included 210 known pre-miRNAs and 162 novel pre-miRNAs. In addition, 20 DE miRNAs, including 10 upregulated and 10 downregulated miRNAs, were identified by comparing TP and YP. Based on the expression abundance and differentiation between the two populations, we predicted their targets, and KEGG pathway analyses suggested that DE miRNAs between the Tibetan pigs and Yorkshire pigs are involved in hypoxia-related pathways, such as the MAPK, mTOR, and VEGF signaling pathways, cancer-related signaling pathways, etc. Five DE miRNAs were randomly selected to validate the veracity of miRNA-seq using real-time PCR. The results showed that the expression corresponds to the trend in miRNA-seq, hence the deep-sequencing methods were feasible and efficient. This study expanded the number of hypoxic-adaptation-related miRNAs in pig and indicated that the expression patterns of hypoxia-related miRNAs are significantly altered in the Tibetan pig. DE miRNAs may play important roles in hypoxic adaptation after migration to hypoxic environments. mRNA profiles of 6-month old Tibetan pig (TP) and Yorkshire pig (YP) were generated by deep sequencing, in duplicate, using Hiseq 2000.
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Project description:In this study, miRNA-seq technique was used to identify differentially expressed miRNAs (DE miRNAs) in cardiac muscle of the Tibetan pig (TP) and Yorkshire pig (YP), which were both raised in highland environments. We obtained 108 M clean reads and 372 unique miRNAs that included 210 known pre-miRNAs and 162 novel pre-miRNAs. In addition, 20 DE miRNAs, including 10 upregulated and 10 downregulated miRNAs, were identified by comparing TP and YP. Based on the expression abundance and differentiation between the two populations, we predicted their targets, and KEGG pathway analyses suggested that DE miRNAs between the Tibetan pigs and Yorkshire pigs are involved in hypoxia-related pathways, such as the MAPK, mTOR, and VEGF signaling pathways, cancer-related signaling pathways, etc. Five DE miRNAs were randomly selected to validate the veracity of miRNA-seq using real-time PCR. The results showed that the expression corresponds to the trend in miRNA-seq, hence the deep-sequencing methods were feasible and efficient. This study expanded the number of hypoxic-adaptation-related miRNAs in pig and indicated that the expression patterns of hypoxia-related miRNAs are significantly altered in the Tibetan pig. DE miRNAs may play important roles in hypoxic adaptation after migration to hypoxic environments.
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