Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Expression data from embryonic mouse pleuroperitoneal folds and diaphragms


ABSTRACT: Microarray data from this study represent the first global transcriptional survey of gene expression during early compared to late diaphragm formation. Based on the assumption that Congenital diaphragmatic hernia (CDH) candidate genes will have similar temporal expression trends and will be part of the same biological pathways as those already implicated in CDH, we used known CDH-associated genes as “baits” to filter expression microarray data sets (GSEA and STEM) to identify a list of novel CDH candidate genes. Laser-capture microdissected C57BL/6J mouse embryonic diaphragm tissues were studied at three key time-points during normal development. We studied the primordial diaphragm’s pleuroperitoneal folds at E11.5 and E12.5, and the muscularized mature diaphragm at E16.5 to identify genes and pathways that characterize important stages in diaphragm morphogenesis.

ORGANISM(S): Mus musculus

SUBMITTER: Meaghan Russell 

PROVIDER: E-GEOD-35243 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Congenital diaphragmatic hernia candidate genes derived from embryonic transcriptomes.

Russell Meaghan K MK   Longoni Mauro M   Wells Julie J   Maalouf Faouzi I FI   Tracy Adam A AA   Loscertales Maria M   Ackerman Kate G KG   Pober Barbara R BR   Lage Kasper K   Bult Carol J CJ   Donahoe Patricia K PK  

Proceedings of the National Academy of Sciences of the United States of America 20120206 8


Congenital diaphragmatic hernia (CDH) is a common (1 in 3,000 live births) major congenital malformation that results in significant morbidity and mortality. The discovery of CDH loci using standard genetic approaches has been hindered by its genetic heterogeneity. We hypothesized that gene expression profiling of developing embryonic diaphragms would help identify genes likely to be associated with diaphragm defects. We generated a time series of whole-transcriptome expression profiles from las  ...[more]

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