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E-GEOD-45042

ABSTRACT: Transcription profiling of human bronchial epithelial cell line Calu-3 2B4 infected with Human Coronavirus EMC 2012

PROVIDER: E-GEOD-45042 | ExpressionAtlas | 2025-01-24

REPOSITORIES: ExpressionAtlas

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			Action	DRS
	E-GEOD-45042-analysis-methods.tsv	Tabular
	E-GEOD-45042-atlasExperimentSummary.Rdata	Rdata
	E-GEOD-45042-configuration.xml	Xml
	E-GEOD-45042-percentile-ranks.tsv	Tabular
	E-GEOD-45042.condensed-sdrf.tsv	Tabular

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E-GEOD-56677

Project description:Transcription profiling of human bronchial epithelial cell line Calu-3 2B4 infected with Human Coronavirus MERS-CoV-London

2025-01-24 | E-GEOD-56677 | ExpressionAtlas

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

E-GEOD-33267

Project description:Time course analysis of icSARS CoV Urbani or icSARS deltaORF6 infected Calu-3 2B4 bronchial epithelial cells

2025-01-24 | E-GEOD-33267 | ExpressionAtlas

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

E-GEOD-6802

Project description:Transcription profiling by array of human bronchial epithelial cells infected with Pseudomonas aeruginosa, Staphylococcus aureus or respiratory syncytial virus

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Project description:Transcription profiling by array of human bronchiole epithelial cells infected with human metapneumovirus

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Project description:Profiling of human bronchial epithelial BEAS-2B infected with influenza A and treated with succinate to study the anti-influenza activity of succinate

2025-01-23 | E-MTAB-10031 | ExpressionAtlas

E-MEXP-1512

Project description:Transcription profiling of human bronchial epithelial cells following exposure to whole cigarette smoke

2025-01-22 | E-MEXP-1512 | ExpressionAtlas

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Project description:Transcription profiling of human bronchial epithelial cells stabily expressing a dominant negative form of TLR3 after infection with influenza A virus or not infected

2025-01-22 | E-MEXP-1274 | ExpressionAtlas

iAR22_SARS-CoV-2_Calu3 - A collection of cell-type specific constraint-based metabolic models of human Calu-3 cells infected with SARS-CoV-2

Project description:A collection of cell-type specific constraint-based metabolic models of Calu-3 cells (a human lung epithelial cancer cell line) infected with SARS-CoV-2 based that were generated based on gene-expression data.

2025-04-14 | MODEL2311070005 | BioModels

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