title: The automated cell: compound and environment screening system (ACCESS) for chemogenomic screening.
abstract: The automated cell, compound and environment screening system (ACCESS) was developed as an automated platform for chemogenomic research. In the yeast Saccharomyces cerevisiae, a number of genomic screens rely on the modulation of gene dose to determine the mode of action of bioactive compounds or the effects of environmental/compound perturbations. These and other phenotypic experiments have been shown to benefit from high-resolution growth curves and a highly automated controlled environment system that enables a wide range of multi-well assays that can be run over many days without any manual intervention. Furthermore, precise control of drug dosing, timing of drug exposure, and precise timing of cell harvesting at specific generation times are important for optimal results. Some of these benefits include the ability to derive fine distinctions between growth rates of mutant strains (1) and the discovery of novel compounds and drug targets (2). The automation has also enabled large-scale screening projects with over 100,000 unique compounds screened to date including a thousand genome-wide screens (3). The ACCESS system also has a diverse set of software tools to enable users to set up, run, annotate, and evaluate complex screens with minimal training.
authors.affiliation: Stanford Genome Technology Center, Palo Alto, CA, USA.
authors.forename: Michael
authors.initials: M
authors.lastname: Proctor
authors.forename: Malene L
authors.initials: ML
authors.lastname: Urbanus
authors.forename: Eula L
authors.initials: EL
authors.lastname: Fung
authors.forename: Daniel F
authors.initials: DF
authors.lastname: Jaramillo
authors.forename: Ronald W
authors.initials: RW
authors.lastname: Davis
authors.forename: Corey
authors.initials: C
authors.lastname: Nislow
authors.forename: Guri
authors.initials: G
authors.lastname: Giaever
mesh_terms: D001331:Automation; D003196:Computer Graphics; D016208:Databases, Factual; D004353:Drug Evaluation, Preclinical; D004777:Environment; D023281:Genomics / Q000295:instrumentation / Q000379:methods*; D007753:Laboratories; D012371:Robotics; D012441:Saccharomyces cerevisiae / Q000166:cytology* / Q000187:drug effects / Q000235:genetics*; D012984:Software; D013223:Statistics as Topic; D014584:User-Computer Interface