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Evaluation of the microRNA transcriptome in feline whole blood

ABSTRACT: Evaluation of the microRNA transcriptome in feline whole blood

PROVIDER: PRJEB55807 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	ERR10151800_1.fastq.gz	Fastqsanger.gz
	ERR10151800_2.fastq.gz	Fastqsanger.gz
	ERR10151801_1.fastq.gz	Fastqsanger.gz
	ERR10151801_2.fastq.gz	Fastqsanger.gz
	ERR10151802_1.fastq.gz	Fastqsanger.gz

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Evaluation of the microRNA transcriptome in feline whole blood

Project description:Evaluation of the microRNA transcriptome in feline whole blood

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Expression profiling feline peripheral blood monocytes identifies a transcriptional signature associated with type two diabetes mellitus

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MicroRNA profile analysis of feline kidney cell line infected with Feline Panleukopenia Virus using deep sequencing

Project description:Purpose:MicroRNAs (miRNAs) are members of a rapidly growing class of small endogenous non-coding RNAs that play crucial roles in post-transcriptional regulator of gene expression in many biological processes. Feline Panleukopenia Virus (FPV) is a highly infectious pathogen that causes severe disease in pets, economically important animals and wildlife in worldwide. However, the molecular mechanisms underlying the pathogenicity of FPV have not been completely clear. To study the involvement of miRNAs in the FPV infection process, miRNAs expression profiles were identified via deep sequencing in the feline kidney cell line (F81) infected and uninfected with FPV. Methods:miRNA-sequencing analysis was performed on an Illumina Hiseq 2500 (LC Sciences, USA) following the vendor's recommended protocol Results:As a result, 673 known miRNAs belonging to 210 families and 278 novel miRNAs were identified. Then we found 57 significantly differential expression miRNAs by comparing the results between uninfected and FPV-infected groups. Furthermore, stem-loop qRT-PCR was applied to validate and profile the expression of the randomly selected miRNAs; the results were consistent with those by deep sequencing. Furthermore, the potential target genes were predicted. The target genes of differential expression miRNAs were analyzed by GO and KEGG pathway. Conclusions:The identification of miRNAs in feline kidney cell line before and after infection with Feline Panleukopenia Virus will provide new information and enhance our understanding of the functions of miRNAs in regulating biological processes.

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The effect of natural feline coronavirus infection on the host immune response: a whole-transcriptome analysis on the mesenteric lymph nodes of cats with and without feline infectious peritonitis

Project description:Purpose: Comparison of the effect on the host immune response of feline coronavirus infection with or without feline infectious peritonitis Results: FIP was associated with higher pro-inflammatory pathway enrichment; whilst non-FIP FCoV-positive cats showed lower enrichment of humoral immunity pathways, below that of uninfected cats in the case of immunoglobulin production pathways Conclusions: Reinforces host differences in disease susceptibility in addition to any viral factors, importance of cellular vs humoral response also highlighted.

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MicroRNA profile analysis of feline kidney cell line infected with Feline Panleukopenia Virus using deep sequencing

Project description:MicroRNA profile analysis of feline kidney cell line infected with Feline Panleukopenia Virus using deep sequencing

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Transcriptome Profiling sequencing analysis of feline ovarian granulosa cell treated with Atractylenolide Ⅰ

Project description:Through the application of a transcriptome profiling strategy, we were able to ascertain the differentially expressed genes and complicated pathways involved in the interactions between Atractylenolide-I and feline ovarian granulosa cells. Based on the results of our transcriptome profiling study, we found the highest number of DEGs participated in cholesterol metabolism pathways, the activation of which might be a major factor underlying Atractylenolide I promote the luteinization of the feline ovarian granulosa cells.

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Expression data from feline liver tissue

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