five

Response to SARS-CoV in the PreCC

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NIAID Data Ecosystem2026-03-10 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE93283
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In order to narrow candidate QTL loci into relevant genes driving disease differences, we assessed transcriptional differences across the pre-CC population used to map phenotypic QTL. We integrate this normalized expression data with polymorphisms underneath a candidate locus to arrive at a high priority candidate gene which had genetic variants private to the causal haplotype and also had expression strongly correlated with the appropriate trait (SARS-CoV viral lung load at 4 DPI). 68 samples each derived from a different CC line with expression measured from lung tissue at day 4 post infection. Infection was with the mouse adapted SARS-Coronavirus MA15 strain
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2017-04-01
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