Comparative analysis of anti-viral transcriptomics reveals novel effects of influenza immune antagonism
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Human Dendritic Cell Response Signatures Distinguish 1918, Pandemic, and Seasonal H1N1 Influenza Viruses.Meta-analysis of cell- specific transcriptomic data using fuzzy c-means clustering discovers versatile viral responsive genes.Boolean Modeling of Cellular and Molecular Pathways Involved in Influenza Infection.Frontline Science: c-Myc regulates P-selectin glycoprotein ligand-1 expression in monocytes during HIV-1 infection.Dynamic changes in the CD4 T cell transcriptome are associated with disease severity during primary RSV infection in young infants.MicroRNAs as Novel Biomarkers of Deployment Status and Exposure to Polychlorinated Dibenzo-p-Dioxins/Dibenzofurans.Detection of Serum microRNAs From Department of Defense Serum Repository: Correlation With Cotinine, Cytokine, and Polycyclic Aromatic Hydrocarbon Levels.Common microRNA⁻mRNA Interactions in Different Newcastle Disease Virus-Infected Chicken Embryonic Visceral Tissues.
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P2860
Comparative analysis of anti-viral transcriptomics reveals novel effects of influenza immune antagonism
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2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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name
Comparative analysis of anti-v ...... of influenza immune antagonism
@ast
Comparative analysis of anti-v ...... of influenza immune antagonism
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type
label
Comparative analysis of anti-v ...... of influenza immune antagonism
@ast
Comparative analysis of anti-v ...... of influenza immune antagonism
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prefLabel
Comparative analysis of anti-v ...... of influenza immune antagonism
@ast
Comparative analysis of anti-v ...... of influenza immune antagonism
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P2093
P2860
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Comparative analysis of anti-v ...... of influenza immune antagonism
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P2093
Juilee Thakar
Nada Marjanovic
Steven H Kleinstein
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P2888
P356
10.1186/S12865-015-0107-Y
P577
2015-08-14T00:00:00Z
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P6179
1013814423