Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Middle East respiratory syndrome-related coronavirus isolate:HCoV-EMC/2012

ABSTRACT: Middle East respiratory syndrome-related coronavirus isolate:HCoV-EMC/2012 Raw sequence reads

PROVIDER: PRJNA302555 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Transcriptomic analysis of the Novel Middle East Respiratory Syndrome Coronavirus (Human, MRC5 cells)

2014-06-10 | GSE56192 | GEO

Transcriptomic analysis of the Novel Middle East Respiratory Syndrome Coronavirus (African green monkey, Vero E6 cells)

Project description:We will use the EMC/2012 strain of the novel beta Coronavirus called Middle East Respiratory Syndrome Coronavirus (MERS-CoV). It was initially passaged on Vero E6 cells in Saudi Arabia before being sequenced at the Erasmus Medical College in Rotterdam, Netherlands by Dr Ron Fouchier. We propose to perform a time course of infection of hCoV-EMC on MRC5 cells (Human Lung origin) and Vero cells (African Green Monkey Kidney cells). Both cell lines readily grow and replicate the virus. Importantly these cell lines show signs of Cytopathic effect (CPE), such as cell rounding and release from the petri dish that coincide with time points high virus replication demonstrating the effects of virus replication on the cells. Transcriptomic analysis will be performed after infection with MERS-CoV and SARS-CoV (Urbani strain) to compare the host gene induction that occurs during infection. MRC5 and Vero E6 cells will be infected at an MOI of 0.1 and 3 and RNA harvested from cells at 24 and 48 post infection. RNA will be processed for library creation and sequenced on an Illumina Hiseq. Sequencing reads will be analyzed and compared across the time course and between each virus to identify common response pathways induced during infection as well as unique pathways specific to each virus.

2015-11-19 | E-GEOD-56193 | biostudies-arrayexpress

Transcriptomic analysis of the Novel Middle East Respiratory Syndrome Coronavirus (African green monkey, Vero E6 cells)

2015-11-19 | GSE56193 | GEO

Cell host-response to infection with novel human coronavirus EMC predict potential antivirals and important differences with SARS-coronavirus.

Project description:Differential expression was determined in Calu-3 cells between mock infected and infection with either Human coronavirus EMC and SARS coronavirus at different times post infection. Calu-3 2B4 cells were infected with Human Coronavirus EMC 2012 (HCoV-EMC) or mock infected. Samples were collected 0, 3, 7, 12, 18 and 24 hpi. There are 3 mock and 3 infected replicates for each time point, except for 12 hpi for which there are only 2 infected replicates (one replicate did not pass RNA quality check). There were no mock sampes at 18 hpi, and therefore infected samples at 18 hpi were compared with mocks at 24 hpi. For direct comparison with SARS-CoV infected cells, raw data from HCoV-EMC experiments were quantile normalized together with the SARS-CoV dataset (GEO Series accession number GSE33267).

2013-05-03 | E-GEOD-45042 | biostudies-arrayexpress

Middle East respiratory syndrome-related coronavirus

Project description:Middle East respiratory syndrome-related coronavirus Raw sequence reads

| PRJNA376858 | ENA

Middle East respiratory syndrome-related coronavirus

Project description:Middle East respiratory syndrome-related coronavirus Genome sequencing and assembly

| PRJNA681678 | ENA

Middle East respiratory syndrome-related coronavirus

Project description:Middle East respiratory syndrome-related coronavirus Genome sequencing and assembly

| PRJNA681679 | ENA

Middle East respiratory syndrome-related coronavirus

Project description:Middle East respiratory syndrome-related coronavirus Genome sequencing and assembly

| PRJNA517346 | ENA

Middle East respiratory syndrome-related coronavirus

Project description:Middle East respiratory syndrome coronavirus Genome sequencing : MERS-CoV_KOR-2015

| PRJNA316178 | ENA

Transcriptional responses of Middle East respiratory syndrome coronavirus (MERS-CoV) in marmosets

Project description:The absence of a robust disease model currently hinders the evaluation of countermeasures for Middle East respiratory syndrome coronavirus (MERS-CoV). While a rhesus macaque model of MERS-CoV that results in mild-to-moderate disease has been utilized to describe the pathogenesis of this virus and for the evaluation of therapeutics, the inability to produce uniform disease with substantial virus replication complicates analysis in countermeasure studies. In an attempt to identify a more robust disease model, DPP4 sequences of various non-human primates were aligned. Modeling of the interactions between the receptor binding domain of MERS-CoV and its cognate receptor DPP4 predicted a "good fit" with complete conservation of all of the critical residues. To determine the feasibility of the marmoset as a MERS-CoV disease model, common marmosets were inoculated with MERS-CoV via combined intratracheal, intranasal, oral and ocular routes. Marmosets developed signs of moderate to severe illness with progressive serious to severe pneumonia. Progressive gross lesions were evident in animals necropsied at 3, 4 and 6 days post inoculation and two animals were euthanized during the study due to disease severity. This is the first description of a moderate-to-severe, with potentially lethality, disease model of MERS-CoV and as such will have utility for vaccine and other countermeasure efficacy evaluations in addition to further pathogenesis studies. Lung tissue samples were isolated and sequenced at 3, 4 and 6 days post inoculation. Two animals were euthanized during the study due to disease severity.

2014-06-10 | E-GEOD-55023 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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