Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Ferret animal model of severe fever with thrombocytopenia syndrome phlebovirus for human lethal infection and pathogenesis

ABSTRACT: Ferret animal model of severe fever with thrombocytopenia syndrome phlebovirus for human lethal infection and pathogenesis

PROVIDER: PRJNA499049 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR8127450_1.fastq.gz	Fastqsanger.gz
	SRR8127450_2.fastq.gz	Fastqsanger.gz
	SRR8127451_1.fastq.gz	Fastqsanger.gz
	SRR8127451_2.fastq.gz	Fastqsanger.gz
	SRR8127452_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 26

Similar Datasets

Ferret animal model of severe fever with thrombocytopenia syndrome phlebovirus for human lethal infection and pathogenesis

Project description:Severe fever with thrombocytopenia syndrome phlebovirus (SFTSV), listed in the WHO most dangerous pathogens, has 12-30% fatality rates with a characteristic thrombocytopenia syndrome. With a majority of clinically diagnosed SFTSV patients older than ~50 years, age is a critical risk factor for SFTSV morbidity and mortality. Here, we report an age-dependent ferret model of SFTSV infection and pathogenesis that fully recapitulates the clinical manifestations of human infections. While young adult ferrets (≤2 years old) did not show any clinical symptoms and mortality, SFTSV-infected aged ferrets (≥4 years old) demonstrated severe thrombocytopenia, reduced white blood cells, and high fever with 93% mortality rate. Moreover, significantly higher viral load was observed in aged ferrets. Transcriptome analysis of SFTSV-infected young ferrets revealed strong interferon-mediated anti-viral signaling, whereas inflammatory immune responses were markedly upregulated and persisted in aged ferrets. Thus, this immunocompetent age-dependent ferret model should be useful for anti-SFTSV therapy and vaccine development.

2018-10-30 | GSE121911 | GEO

Severe fever with thrombocytopenia syndrome virus

Project description:Research of Severe fever with thrombocytopenia syndrome

| PRJNA1056441 | ENA

Serum Proteomics of Severe Fever with Thrombocytopenia Syndrome Patients

Project description:Dabie bandavirus, also termed as severe fever with thrombocytopenia syndrome virus (SFTSV), was first isolated in China in 2010. At this time, the virus was found to have spread to South Korea, Japan, and other countries. A high case fatality rate is reported for SFTS, ranging from 12–50% within various sources. Several omics for clinical studies among SFTS patients as well as studies of cultured SFTSV have attempted to characterize the relevant molecular biology and epidemiology of the disease. However, a global serum proteomics analysis among SFTS patients has not yet been reported to date. Thrombocytopenia and multiple organ failure are the major immediate causes of death among SFTS patients. In this study, serum proteomic changes related to thrombocytopenia, abnormal immune response, and inflammatory activation were documented in SFTS patients. These findings provide useful information forunderstanding the clinical manifestations of SFTS.

2022-10-13 | PXD033989 | Pride

Ferret animal model of severe fever with thrombocytopenia syndrome phlebovirus for human lethal infection and pathogenesis.

Project description:Severe fever with thrombocytopenia syndrome phlebovirus (SFTSV), listed in the most dangerous pathogens by the World Health Organization, has 12-30% fatality rates with a characteristic thrombocytopenia syndrome. With a majority of clinically diagnosed SFTSV patients older than ~50 years of age, age is a critical risk factor for SFTSV morbidity and mortality. Here, we report an age-dependent ferret model of SFTSV infection and pathogenesis that fully recapitulates the clinical manifestations of human infections. Whereas young adult ferrets (≤2 years of age) did not show any clinical symptoms and mortality, SFTSV-infected aged ferrets (≥4 years of age) demonstrated severe thrombocytopenia, reduced white blood cell counts and high fever with 93% mortality rate. Moreover, a significantly higher viral load was observed in aged ferrets. Transcriptome analysis of SFTSV-infected young ferrets revealed strong interferon-mediated anti-viral signalling, whereas inflammatory immune responses were markedly upregulated and persisted in aged ferrets. Thus, this immunocompetent age-dependent ferret model should be useful for anti-SFTSV therapy and vaccine development.

| S-EPMC6548318 | biostudies-literature

Severe fever with thrombocytopenia syndrome virus

Project description:Severe fever with thrombocytopenia syndrome virus Raw sequence reads

| PRJNA732992 | ENA

Severe fever with thrombocytopenia syndrome virus

Project description:Severe fever with thrombocytopenia syndrome virus Genome sequencing and assembly

| PRJNA1065814 | ENA

Transcriptome profiles characteristics of peripheral immune in Severe Fever with Thrombocytopenia Syndrome patients

Project description:To investigate the response mechanisms of Severe fever with thrombocytopenia syndrome (SFTS) patients, we conducted transcriptomic analysis of peripheral immunity in 14 SFTS patients, ranging from modal infection to severe and fatal disease. Our results observed the potential mechanism for the heterogeneity of clinical symptoms, which can further elucidate the interaction between viruses and hosts and contribute to clinical treatment.

2024-11-20 | GSE264635 | GEO

Ferret coronavirus

Project description:Ferret coronavirus Genome sequencing

| PRJNA897822 | ENA

Development of molecular genetic analysis tools for the domestic ferret (Mustela putorius furo)

Project description:The domestic ferret (Mustela putorius furo) has been used as animal model for decades, largely because its susceptibility to infection with a large number of pathogens such as influenza virus, SARS Corona virus and Canine distemper virus. Despite its importance for biomedical research, little is known about the genome of the M. Furo. The number of reagents for molecular and immunological analysis is thus restricted. To circumvent this, we present here a parallel sequencing effort to produce an extensive EST dataset derived from a normalized ferret cDNA library made from mRNA from ferret blood, liver, lung, spleen and brain. We produced more than 500000 sequence reads that were assembled into over 15000 partial ferret transcripts. These ESTs were combined with the available ferret sequences in the GenBank to develop a ferret specific microarray platform. Using this array, we detected tissue specific expression patterns which were confirmed by quantitative real time PCR assays and comparison to orthologous transcription profiles of mouse and human. We also present a set of 41 ferret transcript with even transcription profile across the tested tissues, indicating their usefulness as housekeeping genes. This study paves way for development of additional reagents for analysis of the ferret model. Three biological replicates of blood, lung, spleen, liver and brain was hybridized to the ferret specific microarray.

2010-09-13 | E-GEOD-19398 | biostudies-arrayexpress

Integrated systems immunology approach identifies impaired effector T cell memory responses as a feature of progression to severe dengue fever

Project description:Typical symptoms of uncomplicated dengue fever (DF) include headache, muscle pains, rash, cough, and vomiting. A proportion of cases progress to severe dengue hemorrhagic fever (DHF), associated with vascular permeability, thrombocytopenia, and hemorrhages. Progression to severe dengue is difficult to diagnose at the onset of fever, which complicates patient triage, posing a socio-economic burden on health systems. To identify parameters associated with protection and susceptibility to DHF, we pursued a systems immunology approach integrating plasma chemokine profiling, high-dimensional mass cytometry and peripheral blood mononuclear cell transcriptomic analysis at the onset of fever in a prospective study conducted in Indonesia.

2023-04-13 | GSE215835 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data