Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MPLEx_MERS-CoV_Calu3_Lipidomics

ABSTRACT: Raw LC-MS/MS files of lipidomic analysis of Calu-3 cells infected with Middle-east respiratory syndrome Coronavirus.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (ncbitaxon:9606) Middle East Respiratory Syndrome-related Coronavirus (ncbitaxon:1335626)

SUBMITTER: Thomas Metz

PROVIDER: MSV000079609 | MassIVE | Mon Mar 28 11:23:00 BST 2016

REPOSITORIES: MassIVE

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

GNPS - MPLEx_MERS-CoV_Calu3_Lipidomics

Project description:Raw LC-MS/MS files of lipidomic analysis of Calu-3 cells infected with Middle-east respiratory syndrome Coronavirus.

2016-03-28 | MSV000079609 | GNPS

MPLEx_MERS-CoV_Calu3_Metabolomics

Project description:Raw GC-MS files of metabolomic analysis of Calu-3 cells infected with Middle-east respiratory syndrome Coronavirus.

2016-03-28 | MSV000079610 | MassIVE

GNPS - MPLEx_MERS-CoV_Calu3_Metabolomics

Project description:Raw GC-MS files of metabolomic analysis of Calu-3 cells infected with Middle-east respiratory syndrome Coronavirus.

2016-03-28 | MSV000079610 | GNPS

RNAseq of Calu-3 epithelial cells treated with Cyclosporin A

Project description:Calu-3 cells are human lung cancer cells that serve as a model of respiratory epithelial cell model. Here, Calu-3 cells are used as a cell system for Middle East respiratory syndrome coronavirus and treated with Cyclosporin A To assess the effect of Cyclosporin A on the host cells, uninfected cells were treated with CsA or DMSO, RNA was extracted and compared against the DMSO treated control cells.

2020-08-01 | E-MTAB-8222 | biostudies-arrayexpress

Cytokine stimulation systems approach demonstrates differences in innate and pro-inflammatory host responses between genetically distinct MERS-CoV isolates.

Project description:Background: The recent emergence of a novel coronavirus in the Middle East (designated MERS-CoV) is a reminder of the zoonotic potential of coronaviruses and the severe disease these etiologic agents can cause in humans. Clinical features of Middle East respiratory syndrome (MERS) include severe acute pneumonia and renal failure that is highly reminiscent of severe acute respiratory syndrome (SARS) caused by SARS-CoV. The host response is a key component of highly pathogenic respiratory virus infection. Here, we computationally analyzed gene expression changes in a human airway epithelial cell line infected with two genetically distinct MERS-CoV strains obtained from human patients, MERS-CoV-EMC (designated EMC) and MERS-CoV-London (designated LoCoV). Results: Using topological techniques, such as persistence homology and filtered clustering, we characterized the host response system to the different MERS-CoVs, with LoCoV inducing early kinetic changes, between 3 and 12 hours post infection, compared to EMC. Robust transcriptional changes distinguished the two MERS-CoV strains predominantly at the late time points. Combining statistical analysis of infection and cytokine-stimulated treatment transcriptomics, we identified differential innate and pro-inflammatory responses between the two virus strains, including up-regulation of extracellular remodeling genes following LoCoV infection and differential pro-inflammatory responses between the two strains. Conclusions: These transcriptional differences may be the result of amino acid differences in viral proteins known to modulate innate immunity against MERS infection. Triplicate wells of Calu-3 2B4 cells were infected with Human Coronavirus EMC 2012 (HCoV-EMC) or time-matched mock infected. Cells were harvested at 0, 3, 7, 12, 18 and 24 hours post-infection (hpi), RNA extracted and transcriptomics analyzed by microarray.

2014-08-31 | E-GEOD-56677 | biostudies-arrayexpress

Transcriptomic Analysis Of circRNAs/miRNAs/mRNAs upon Middle East Respiratory Syndrome Coronavirus (MERS-CoV) infection

Project description:Human circular RNAs can function in competing endogenous RNA (ceRNA) network by sponging miRNA and regulating gene expression. Viruses are evolved to regulate noncoding RNAs such as miRNAs and circRNAs to facilitate their propagation and pathogenesis. Studies on how host ceRNAs upon human coronavirus infection were scarce, and the functions of circRNAs during the infection of Middle East respiratory syndrome coronavirus (MERS-CoV) has not been deeply revealed. Therefore, we conducted a whole transcriptional profile (RNA-seq) analysis to compare the expression of circRNAs, miRNAs and mRNAs between the mock-infected and MERS-CoV-infected human lung adenocarcinoma (Calu-3) cells. Integrated analysis of ceRNAs revealed putative viral pathogenic circRNAs induced by MERS-CoV and their interplay with miRNAs and genes. Our study offered new insights into the mechanisms of interplays of MERS-CoVs and hosts, and established a model promising to be applied to other coronavirus or other viruses for the identification of novel host factors.

2019-11-30 | GSE139516 | GEO

Middle East respiratory syndrome-related coronavirus

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

| PRJNA376858 | ENA

Human Calu-3 cell transcriptome response to a wild type infectious clone of Middle Eastern Respiratory Syndrome (icMERS) coronavirus and icMERS mutant viruses

Project description:The purpose of this experiment was to obtain samples for transcriptome analysis using wild type infectious clone of Middle Eastern Respiratory Syndrome (icMERS) coronavirus and icMERS mutant viruses: icMERS-RFP, icMERS-dNSP16, icMERS-d4B, and icMERS-d3-5. For protocol details, please search for the protocol ID at https://systemsvirology.org. Overview of Experiment: Cells: 2B4 Calu-3 cells; seed 5 x 10^5 cells per well on 6 well plates 2 days before infection. Prior to infection, washed cells 2 times with PBS, and then infected with a multiplicity of infection of 5. Time matched mocks done in triplicate from same cell stock as rest of samples using culture medium. Time points: 0, 7, 12 and 24 h post-infection (For miRNA: 7, 12 hours only)

2015-02-04 | E-GEOD-65574 | biostudies-arrayexpress

Middle East respiratory syndrome-related coronavirus

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

| PRJNA1138732 | ENA

Middle East respiratory syndrome-related coronavirus strain:Betacoronavirus

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

| PRJNA415310 | ENA