Merbecovirus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1162898 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Bats Metagenomic assembly: UNIFESP Viral Epidemiological Surveillance
| PRJNA1165772 | ENA
Project description:To unravel distinct pattern of metagenomic surveillance and respiratory microbiota between Mycoplasma pneumoniae (M. pneumoniae) P1-1 and P1-2 and explore the impact of COVID-19 pandemic on epidemiological features
2024-08-07 | GSE274269 | GEO
Project description:There is a need to understand genetic and lifestyle factors that may influence the risk of cancer progression in men who have organ-confined prostate cancer and have chosen a programme of 'active surveillance' as opposed to radical treatment with the associated health risks. Epidemiological studies have suggested that consumption of cruciferous vegetables is associated with reduced risk of developing aggressive prostate cancer. In this study we recruited men on active surveillance for low- to intermediate-risk prostate cancer to determine whether a 12-month dietary intervention can elicit transcriptional or nmetabolic responses in their prostate that would be consistent with a reduction in the risk of progression. We undertook RNAseq on prostate biopsies collected before and after a 12-month intervention with broccoli soups.
2020-01-01 | E-MTAB-6525 | biostudies-arrayexpress
Project description:In this report, we have developed a rapid oligonucleotide microarray detection technique to identify the most common ten Legionella spp.. The sensitivity of the detection was at 1.0 ng with genomic DNA or 13 CFU/100 mL with Legionella cultures. The microarray detected seven air conditioner-condensed water samples with 100% accuracy, validating the technique as a promising method for applications in basic microbiology, clinical diagnosis, food safety, and epidemiological surveillance. The phylogenetic study based on the ITS has also revealed interestingly that the non-pathogenic L. fairfieldensis is the closest to L. pneumophila than the nine other pathogenic Legionella spp..
2014-10-04 | GSE61962 | GEO
Project description:Whole genome-based epidemiological surveillance of Listeria monocytogenes in France
| PRJEB12738 | ENA
Project description:The majority of people in the U.S. manage health through at least one prescription drug. Drugs classified as non-antibiotics can adversely affect the gut microbiome and disrupt intestinal homeostasis. Here, we identified medications associated with an increased risk of GI infections across a population cohort of more than 1 million individuals monitored over 15 years. Notably, the cardiac glycoside digoxin and other drugs identified in this epidemiological study are sufficient to alter microbiome composition and risk of Salmonella enterica subsp. Typhimurium (S. Tm) infection in mice. The impact of digoxin treatment on S. Tm infection is transmissible via the microbiome, and characterization of this interaction highlights a digoxin-responsive b-defensin that alters microbiome composition and consequent immune surveillance of the invading pathogen. Combining epidemiological and experimental approaches thus provides an opportunity to uncover drug-host-microbiome-pathogen interactions that increase infection risk in human populations.
2025-05-12 | GSE274850 | GEO
Project description:Hospital-wide pathogen transmission surveillance combining epidemiological, genetic, and spectroscopic approaches
| PRJEB62643 | ENA
Project description:Epidemiological surveillance of brucellosis in Vindhya region of Madhya Pradesh, India
| PRJNA1091304 | ENA
Project description:Meningitis is a complex disease which can be caused by infection with either viral or bacterial pathogens. Viral meningitis is usually a sterile self-limiting disease with a good clinical prognosis, while bacterial meningitis is a potentially more serious disease with a higher mortality rate. Early diagnosis of bacterial meningitis is of paramount importance, as intervention with antimicrobial therapy increases the likelihood of a favourable clinical outcome. Routine diagnosis in many laboratories is still dependent to some degree on traditional methods e.g. culture, though molecular methods have been developed which can give a shorter time to diagnosis. However, there is not as yet a single test format that can detect all bacterial pathogens capable of causing meningitis. In addition, many tests e.g. real-time PCR have a finite limit for multiplexing and do not provide additional information such as strain or serogroup which is useful during outbreaks and for retrospective epidemiological surveillance. To this end we have developed a microarray probe set for detection of meningitis-associated bacterial pathogens including those in the N. meningitidis serogroups. Here we demonstrate utility of this array in specific detection of represented bacterial species and strains and in detection of pathogen signals in cerebrospinal fluid samples from patients with suspected bacterial meningitis. This method shows promise for development as a diagnostic tool; however, we discuss the technical issues encountered and suggest mechanisms to improve resolution of pathogen-specific signals in complex clinical samples. We designed as part of a larger pan-pathogen microarray a sub-set of probes to meningitis-associated bacterial pathogens. We present here data confirming the pathogen-specificity of many of these probes and their potential use in clinical diagnosis through testing on a small number of patient clinical samples using human DNA and no added nucleic acid controls. These data are from single channel Cy3-labelled nucleic acids. Four technical replicates for each feature are included on the array.
2011-07-19 | E-GEOD-30794 | biostudies-arrayexpress