Ontology highlight
ABSTRACT:
PROVIDER: PRJNA830975 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR20992732.fastq.gz | Fastqsanger.gz | |||
| SRR20992733.fastq.gz | Fastqsanger.gz | |||
| SRR20992734.fastq.gz | Fastqsanger.gz | |||
| SRR20992735.fastq.gz | Fastqsanger.gz | |||
| SRR20992736.fastq.gz | Fastqsanger.gz |
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Project description:BACKGROUND: MicroRNAs negatively regulate gene expression and play a pivotal role in the pathogenesis of human type 2 diabetes mellitus (T2DM). As the domestic cat presents a spontaneous animal model for human T2DM, the purpose of this study was to investigate whether microRNAs are detectable in feline serum and whether microRNA expression profiles differ between healthy and diabetic cats. METHODS: Total RNA was extracted from 400 µl serum of healthy lean (HL) and newly diagnosed diabetic (D) cats. MicroRNA microarrays representing 1079 distinct mouse miRNA targets were used to measure miRNA expression in samples from eight HL and eight D cats. RESULTS: By microarray, 227 distinct microRNAs were identified. Nineteen miRNAs were differentially expressed in diabetic cats, but only two reached statistical significance after correction for multiple comparisons. In qRT-PCR, miR-122* was found to be upregulated in diabetic cats more than 40-fold compared to HL cats, while miR-193b was upregulated about 10-fold. MiR-483* showed a 6- fold increase in diabetic cats compared to HL cats. CONCLUSIONS: Small volumes of serum samples yield sufficient material to detect altered microRNA expression profiles in diabetic cats. The domestic cat may be considered a useful animal model for studying miRNAs involved in human T2DM.
2013-04-11 | GSE37177 | GEO
Project description:MicroRNAs are conserved, endogenous small RNAs with critical post-transcriptional regulatory functions throughout eukaryota, including prominent roles in development and disease. Despite much effort, microRNA annotations still contain errors and are incomplete due especially to challenges related to identifying valid miRs that have small numbers of reads, to properly locating hairpin precursors and to balancing precision and recall. Here, we present miRWoods, which solves these challenges using a duplex-focused precursor detection method and stacked random forests with specialized layers to detect mature and precursor microRNAs, and has been tuned to optimize the harmonic mean of precision and recall. We trained and tuned our discovery pipeline on data sets from the well-annotated human genome, and evaluated its performance on data from mouse. Compared to existing approaches, miRWoods better identifies precursor spans, and can balance sensitivity and specificity for an overall greater prediction accuracy, recalling an average of 10% more annotated microRNAs, and correctly predicts substantially more microRNAs with only one read. We apply this method to the under-annotated genomes of Felis catus (domestic cat) and Bos taurus (cow). We identified hundreds of novel microRNAs in small RNA sequencing data sets from muscle and skin from cat, from 10 tissues from cow and also from human and mouse cells. Our novel predictions include a microRNA in an intron of tyrosine kinase 2 (TYK2) that is present in both cat and cow, as well as a family of mirtrons with two instances in the human genome. Our predictions support a more expanded miR-2284 family in the bovine genome, a larger mir-548 family in the human genome, and a larger let-7 family in the feline genome.
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Project description:Histone modifications and CTCF mark the locations of genomic regulatory regions -- including promoters, enhancers, and insulators -- and have not been previously annotated for the domestic cat genome. Understanding where non-coding sequence variants fall in relation to regulatory regions is vital for determining their impact on gene function and their ability to cause disease. The addition of replicated feline ChIP-seq data from multiple tissues will aid in interpretation of non-coding variants, furthering characterization of genetic diseases and genetic test development.
2021-08-29 | GSE182952 | GEO
Project description:BACKGROUND: MicroRNAs negatively regulate gene expression and play a pivotal role in the pathogenesis of human type 2 diabetes mellitus (T2DM). As the domestic cat presents a spontaneous animal model for human T2DM, the purpose of this study was to investigate whether microRNAs are detectable in feline serum and whether microRNA expression profiles differ between healthy and diabetic cats. METHODS: Total RNA was extracted from 400 M-BM-5l serum of healthy lean (HL) and newly diagnosed diabetic (D) cats. MicroRNA microarrays representing 1079 distinct mouse miRNA targets were used to measure miRNA expression in samples from eight HL and eight D cats. RESULTS: By microarray, 227 distinct microRNAs were identified. Nineteen miRNAs were differentially expressed in diabetic cats, but only two reached statistical significance after correction for multiple comparisons. In qRT-PCR, miR-122* was found to be upregulated in diabetic cats more than 40-fold compared to HL cats, while miR-193b was upregulated about 10-fold. MiR-483* showed a 6- fold increase in diabetic cats compared to HL cats. CONCLUSIONS: Small volumes of serum samples yield sufficient material to detect altered microRNA expression profiles in diabetic cats. The domestic cat may be considered a useful animal model for studying miRNAs involved in human T2DM. Blood was drawn from two groups of cats: 8 healthy cats and 8 cats suffering from diabetes. After clotting, samples were centrifuged and total mRNA was extracted from serum. These 16 serum samples were analyzed and the groups were compared. Due to technical problems during hybridization (leaking chamber), sample 1_4_B (Serum_diabetic_8) was not included into analysis.
2013-04-11 | E-GEOD-37177 | biostudies-arrayexpress