title: The quest for the mechanisms of life.
abstract: The genomic revolution, manifested by the sequencing of the complete genome of many organisms, along with technological advances, such as DNA microarrays and developments in high-throughput analysis of proteins, metabolites, and isotopic tracer distribution patterns, challenged the conventional ways in which questions are approached in the biological sciences: (a) rather than examining a small number of genes and/or reactions at any one time;, we can now analyze gene expression and protein activity in the context of systems of interacting genes and gene products; (b) comprehensive analysis of biological systems requires the integration of all cellular fingerprints: genome sequence, maps of gene expression, protein expression, metabolic output, and in vivo enzymatic activity; and (c) collecting, managing, and analyzing comparable data from various cellular profiles requires expertise from several fields that transcend traditional discipline boundaries. While researchers in systems biology have still to address difficult challenges in both experimental and computational arenas, they possess, for the first time, the opportunity to unravel the mechanisms of life. The enormous impact of these discoveries in diverse areas, such as metabolic engineering, strain selection, drug screening and development, bioprocess development, disease prognosis and diagnosis, gene and other medical therapies, is an obvious motivation for pursuing integrated analyses of cellular systems.
authors.affiliation: Department of Chemical Engineering, University of Maryland, College Park, Maryland 20742, USA. mklapa@eng.umd.edu
authors.forename: Maria I
authors.initials: MI
authors.lastname: Klapa
authors.forename: John
authors.initials: J
authors.lastname: Quackenbush
mesh_terms: D002468:Cell Physiological Phenomena; D019143:Evolution, Molecular; D020869:Gene Expression Profiling / Q000379:methods*; D005786:Gene Expression Regulation / Q000502:physiology*; D040901:Proteomics / Q000379:methods*; D012107:Research Design