id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-319799-h9kot3og	Schäfer, Alexandra	Epigenetic Landscape during Coronavirus Infection	2017-02-15		.txt	text/plain	10080	465	33	By combining measures of epigenome reorganization with RNA and proteomic datasets, we articulate a spatial-temporal data integration approach to identify regulatory genomic clusters and regions that play a crucial role in the host's innate immune response, thereby defining a new viral antagonism mechanism following emerging coronavirus infection. By utilizing Calu3 cells, we have developed a robust human model platform to study innate immune regulatory control and epigenetics following emerging coronavirus and influenza virus infections as well as other highly pathogenic viruses ( Figure 6 ). Utilizing these model systems, we aim to study genome-wide histone modifications, DNA methylation patterns, and the chromatin landscape after virus infection across different cell types in the lung, revealing cell type-specific regulatory features that function to regulate infection outcomes. Utilizing these model systems, we aim to study genome-wide histone modifications, DNA methylation patterns, and the chromatin landscape after virus infection across different cell types in the lung, revealing cell type-specific regulatory features that function to regulate infection outcomes.	./cache/cord-319799-h9kot3og.txt	./txt/cord-319799-h9kot3og.txt