Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1294264 | ENA |
REPOSITORIES: ENA
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Project description:Escherichia coli and Staphylococcus aureus are two common pathogenic microorganisms that cause mastitis in dairy cows. They can cause clinical mastitis and subclinical mastitis. In recent studies, lncRNAs have been found to play an important role in the immune responses triggered by microbial inducers. However, the actions of lncRNAs in bovine mastitis remain unclear. The purpose of this study was to explore the lncRNA profile on mastitis.
2021-08-06 | GSE181464 | GEO
Project description:We performed a genome-wide transcriptional analysis in the mammary gland in a mouse model of E. coli mastitis using high-density mouse oligonucleotide microarrays. This global transcription analysis revealed that about 7% of tested genes are mobilized in the mouse mammary gland to E. coli endotoxin. We identified 1402 differentially expressed genes that were associated with physiological system development/function and molecular/cellular functions and metabolic/signalling pathways that are highly relevant to host immune-inflammatory defense response against E. coli infection. The mouse differentially expressed genes through the use of comparative mapping/genomics and positional information on reported QTL for bovine mastitis allowed identifying 293 potential candidate genes for bovine mastitis. This study will enable other researchers to combine our mRNA expression data with genetic association studies to discover genomic variation underlying variation of susceptibility to mastitis in dairy cows. Keywords: time course, disease state analysis
2011-06-30 | GSE14485 | GEO
Project description:Mastitis is a very costly and common disease in the dairy industry. The study of the transcriptome from healthy and mastitic milk somatic cell samples using RNA-Sequencing technology (RNA-Seq) can provide measurements of transcript levels associated with the immune response to the infection. The objective of this study was to characterize the Holstein milk somatic cells transcriptome from 6 cows to determine host response to intramammary infections. RNA-Sequencing was performed on two samples from each cow from two separate quarters, one classified as healthy (n = 6) and one as mastitic (n = 6). In total, 449 genes were differentially expressed between the healthy and mastitic quarters (P-value < 0.01, FDR < 0.05, FC > ±2). Among the differentially expressed genes, the most expressed genes based on Reads Per Kilo base per Million mapped reads (RPKM) in the healthy group were associated with milk components (CSN2 and CSN3), and in the mastitic group they were associated with immunity (B2M and CD74). In-silico functional analysis was performed using the list of 449 differentially expressed genes, which identified 36 significantly enriched metabolic pathways (FDR < 0.01), some of which were associated with the immune system, such as cytokine-cytokine interaction and cell adhesion molecules. Seven functional candidate genes were selected, based on the criteria of being highly expressed and present in significant pathways that are relevant to the inflammatory process (GLYCAM1, B2M, CD74, BoLA DR-Alpha, FCER1G, SDS and NFKBIA). Lastly, we identified the differentially expressed genes that are located in QTL regions previously known to be associated with mastitis, specifically clinical mastitis, somatic cell count and somatic cell score. It was concluded that there are multiple genes within QTL regions that could potentially impact host response to mastitis causing agents, making some cows more susceptible to intramammary infections. The identification of key genes with functional, statistical, biological and positional relevance associated with host defense to infection, will contribute to a better understanding of the underlying genetic architecture associated with mastitis. This in turn will improve the sustainability of agricultural practices, by facilitating the selection of cows with improved host defense leading to increased resistance to mastitis.
2019-10-22 | GSE131607 | GEO
Project description:Humans and microorganisms, both symbiotic and pathogenic, have evolved means to communicate through the dissemination of biological signals. In addition to small molecules and proteins, mobile small RNAs (sRNAs) have recently emerged as signal molecules that mediate inter-species crosstalk by functional RNA interference (RNAi). However, the trafficking of sRNAs between humans and microorganisms, as well as the resulting biological consequences, remains unexplored. Here, we report that human cells secrete exosomes to deliver sRNAs into bacteria and induce bacterial gene silencing. The unprecedented RNAi in bacteria is accomplished primarily through translational repression without mRNA degradation, for which the participation of human AGO2 proteins co-transferred with sRNAs is essential. Exosome-mediated bacterial RNAi was further applied to fight superbug infection by targeting drug-resistance genes in a mouse model. Our discovery of this unique exosome-mediated sRNA delivery and gene silencing in bacteria paves the way to understanding and manipulating the cross-kingdom communication between human hosts and intestinal microbiota, as well as between humans and pathogenic bacteria.
2025-03-06 | GSE122212 | GEO
Project description:Genomic comparison of mastitis and farm-associated E. coli
| PRJNA341825 | ENA