title: Designing experiments for high-throughput protein expression.
abstract: The advent of high-throughput protein production and the vast amount of data it is capable of generating has created both new opportunities and problems. Automation and miniaturization allow experimentation to be performed more efficiently, justifying the cost involved in establishing a high-throughput platform. These changes have also magnified the need for effective statistical methods to identify trends and relationships in the data. The application of quantitative management tools to this process provides the means of ensuring maximum efficiency and productivity.
authors.affiliation: Gene Expression, Vertex Pharmaceuticals, Cambridge, MA, USA.
authors.forename: Stephen P
authors.initials: SP
authors.lastname: Chambers
authors.forename: Susanne E
authors.initials: SE
authors.lastname: Swalley
mesh_terms: D000818:Animals; D002460:Cell Line; D003470:Culture Media / Q000737:chemistry; D004926:Escherichia coli / Q000235:genetics; D015870:Gene Expression; D005822:Genetic Vectors; D006801:Humans; D040081:Protein Array Analysis; D011994:Recombinant Proteins / Q000737:chemistry / Q000235:genetics*; D015203:Reproducibility of Results; D013696:Temperature; D013997:Time Factors
chemical_list: D003470:Culture Media; D011994:Recombinant Proteins