title: Systems biology approaches to identify developmental bases for lung diseases.
abstract: A greater understanding of the regulatory processes contributing to lung development could be helpful to identify strategies to ameliorate morbidity and mortality in premature infants and to identify individuals at risk for congenital and/or chronic lung diseases. Over the past decade, genomics technologies have enabled the production of rich gene expression databases providing information for all genes across developmental time or in diseased tissue. These data sets facilitate systems biology approaches for identifying underlying biological modules and programs contributing to the complex processes of normal development and those that may be associated with disease states. The next decade will undoubtedly see rapid and significant advances in redefining both lung development and disease at the systems level.
authors: Division of Neonatology and Program in Pediatric Molecular and Personalized Medicine, University of Rochester Medical Center, Rochester, New York, USA.
authors: Soumyaroop
authors: S
authors: Bhattacharya
authors: Thomas J
authors: TJ
authors: Mariani
mesh_terms: D000818:Animals; D015509:Developmental Biology / Q000379:methods; D020869:Gene Expression Profiling; D018507:Gene Expression Regulation, Developmental; D016678:Genome; D023281:Genomics; D006801:Humans; D008168:Lung / Q000196:embryology / Q000502:physiology; D008171:Lung Diseases / Q000196:embryology* / Q000378:metabolism*; D055432:Metabolomics / Q000379:methods; D051379:Mice; D008954:Models, Biological; D020411:Oligonucleotide Array Sequence Analysis; D049490:Systems Biology / Q000379:methods*