Integrated proteomic and transcriptomic profiling of mouse lung development and Nmyc target genes

Brian Cox, Thomas Kislinger, Dennis A. Wigle, Anitha Kannan, Kevin Brown, Tadashi Okubo, Brigid Hogan, Igor Jurisica, Brendan Frey, Janet Rossant, Andrew Emili

Research output: Contribution to journalArticle

59 Scopus citations

Abstract

Although microarray analysis has provided information regarding the dynamics of gene expression during development of the mouse lung, no extensive correlations have been made to the levels of corresponding protein products. Here, we present a global survey of protein expression during mouse lung organogenesis from embryonic day E13.5 until adulthood using gel-free two-dimensional liquid chromatography coupled to shotgun tandem mass spectrometry (MudPIT). Mathematical modeling of the proteomic profiles with parallel DNA microarray data identified large groups of gene products with statistically significant correlation or divergence in coregulation of protein and transcript levels during lung development. We also present an integrative analysis of mRNA and protein expression in Nmyc loss- and gain-of-function mutants. This revealed a set of 90 positively and negatively regulated putative target genes. These targets are evidence that Nmyc is a regulator of genes involved in mRNA processing and a repressor of the imprinted gene Igf2r in the developing lung.

Original languageEnglish (US)
JournalMolecular Systems Biology
Volume3
DOIs
StatePublished - May 29 2007

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Keywords

  • Development
  • Lung
  • Microarray
  • Mouse
  • Nmyc
  • Proteomics

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

Cite this

Cox, B., Kislinger, T., Wigle, D. A., Kannan, A., Brown, K., Okubo, T., Hogan, B., Jurisica, I., Frey, B., Rossant, J., & Emili, A. (2007). Integrated proteomic and transcriptomic profiling of mouse lung development and Nmyc target genes. Molecular Systems Biology, 3. https://doi.org/10.1038/msb4100151