Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Evaluation of the microRNA transcriptome in feline whole blood

ABSTRACT: Evaluation of the microRNA transcriptome in feline whole blood

PROVIDER: PRJEB64674 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Evaluation of the microRNA transcriptome in feline whole blood

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

| PRJEB55807 | ENA

Evaluation of the microRNA transcriptome in feline whole blood

Project description:The aim with this study was to evaluate the miRNA-transcriptome in whole blood in cats with or without pre-clinical HCM. Twelve age, sex and breed matched cats were included. Six cats were Norwegian forest cats and six were domestic mixed breed cats. Each breed represented with three healthy and three preclinical cats. The intention was to evaluate if there were differences in miRNA-profiles between healthy and affected cats, but also to evaluate breed differences and which potential targets the identified miRNAs might have. Bioinformatical pipeline included: bcl2fastq was used to convert sequence files to fastq-format. CutAdapt for adapter and sequence quality trimming, statification and quality evaluation with STAR, FastQC and MultiQC, followed by miRNA-prediction in miRDeep2. Human miRNA-sequences were used as main reference, along with mouse and dog as additional references. Predicted miRNAs were further evaluated for data stratification in DESeq2, followed by differential evaluation analyses based on single or more complex group models (includinig initeraction model). For target prediction IntaRNA was used to identify potential gene transcripts targeted in the feline genome, based on exported feline 3'UTR-sequences from Ensemble. As a comparison human targets were evaluated based on lists in miRDB, since miRNAs are usually conserved between species and the feline genome is less well annotated compared to the human. The results highlighted the importance of considering breed differences when evaluating circulating miRNAs in feline whole blood. This is of high relevance for studies trying to identify miRNAs as potential biomarkers. Also, our results only identified one miRNA differentially expressed between healthy and pre-clinical HCM cats within the Norwegian Forest cats, also highlighting breed differences. One reason for only identifying one miRNA may be that the cats were in pre-clinical state, instead of in congestive heart failure.

2025-08-04 | E-MTAB-12138 | biostudies-arrayexpress

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

Project description:Peripheral blood monocytes were isolated from 3 control and 3 diabetic cats using positive selection and expression profiled using the Affymetrix Feline 1.0ST array.

2017-02-06 | GSE92586 | GEO

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.

2020-12-20 | GSE122381 | GEO

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.

2020-12-31 | GSE152676 | GEO

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

| PRJNA504840 | ENA

Feline Metagenome

Project description:Feline Metagenome

| PRJNA616033 | ENA

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.

2021-08-01 | GSE155784 | GEO

Transcriptomic analysis of feline chronic gingivostomatitis (FCGS)

Project description:The purpose of this study was to characterize the transcriptomic alterations accompanying the inflammation involved in feline chronic gingivostomatitis (FCGS). Towards this goal next-generation sequencing (NGS)-based gene expression profiling (RNA-Sequencing; RNA-Seq) was performed on matched pairs of FCGS diseased and healthy tissues obtained from three feline subjects.

2020-09-25 | GSE149881 | GEO

feline metagenome

Project description:Feline microbiome (PRJCA044819)

| PRJDB39164 | ENA