Transcriptomics,Multiomics

Dataset Information

4

Transcription profiling of mouse lung from individuals with airway hyperactivity and goblet cell metaplasia post-Sendai virus infection


ABSTRACT: Mice representing phenotypic extremes of airway hyperreactivity and goblet cell metaplasia post-Sendai virus infection were identified from a 500 mouse F2 cohort (CB6F2/J). Whole lung RNA from 3 mice at each extreme was analyzed via microarray for gene expression. Subsequent pairwise comparisons between arrays allowed the identification of genes differentially expressed with respect to the disease phenotypes (airway hyperreactivity and goblet cell metaplasia).

OTHER RELATED OMICS DATASETS IN: PRJNA94181

ORGANISM(S): Mus musculus  

SUBMITTER: Anand Champak Patel  

PROVIDER: E-GEOD-3925 | ArrayExpress | 2007-07-06

SECONDARY ACCESSION(S): GDS1987GDS1988GSE3925GDS1985PRJNA94181

REPOSITORIES: GEO, ArrayExpress

Dataset's files

Source:
Action DRS
E-GEOD-3925.idf.txt Idf
E-GEOD-3925.processed.1.zip Processed
E-GEOD-3925.sdrf.txt Txt
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Publications


Complex airway diseases such as asthma and chronic obstructive pulmonary disease exhibit stereotyped traits (especially airway hyperreactivity and mucous cell metaplasia) that are variably expressed in each patient. Here, we used a mouse model for virus-induced long-term expression of these traits to determine whether individual traits can be genetically segregated and thereby linked to separate determinants. We showed that an F2 intercross population derived from susceptible and nonsusceptible  ...[more]

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