2005
DOI: 10.1586/14789450.2.6.915
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Improved understanding of gene expression regulation using systems biology

Abstract: This article reviews the current state of systems biology approaches, including the experimental tools used to generate 'omic' data and computational frameworks to interpret this data. Through illustrative examples, systems biology approaches to understand gene expression and gene expression regulation are discussed. Some of the challenges facing this field and the future opportunities in the systems biology era are highlighted.

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Cited by 5 publications
(6 citation statements)
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“…A significant challenge in quantitative biology is that of developing productive collaborations that do not have the unrealistic requirement of at least one collaborator being an expert in everyone else's field (Kuczenski et al , 2005). Although such collaborations have been developed and have shown to be productive, it is not immediately apparent how students in disparate fields might be taught to collaborate productively even if each member has incomplete knowledge of the field(s) of their fellow collaborators.…”
Section: Discussionmentioning
confidence: 99%
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“…A significant challenge in quantitative biology is that of developing productive collaborations that do not have the unrealistic requirement of at least one collaborator being an expert in everyone else's field (Kuczenski et al , 2005). Although such collaborations have been developed and have shown to be productive, it is not immediately apparent how students in disparate fields might be taught to collaborate productively even if each member has incomplete knowledge of the field(s) of their fellow collaborators.…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, current efforts tend to focus on creating integrated, introductory curricula common to several majors (mathematics, biology, and computer science) that indicate how fundamental ideas in each discipline contribute to the understanding of the life sciences (Bialek and Botstein, 2004; Knisley et al , 2010; Moore et al , 2010). Researchers likewise tend to become conversant in other fields while remaining an expert in only one or two fields (Kuczenski et al , 2005). …”
Section: Introductionmentioning
confidence: 99%
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“…16,17 Gene expression information, in itself, is therefore not sufficient to fully elucidate the relationship between genome sequence, gene expression and cellular dynamics. 18,19 Furthermore, the common approach of many studies of looking for genetic polymorphic variation primarily within the promoter regions of genes showing differential RNA expression is a limited strategy.…”
Section: Gene Expression Studiesmentioning
confidence: 99%
“…, 2008 ). This shift toward collaboration is most likely because modern research requires extensive specialization; scientists today are expected to be heavily specialized in one field while being conversant in other fields ( Kuczenski et al. , 2005 ; Labov et al.…”
Section: Introductionmentioning
confidence: 99%