title: Gene expression analysis: teaching students to do 30,000 experiments at once with microarray.
abstract: Genome scale experiments routinely produce large data sets that require computational analysis, yet there are few student-based labs that illustrate the design and execution of these experiments. In order for students to understand and participate in the genomic world, teaching labs must be available where students generate and analyze large data sets. We present a microarray-based gene expression analysis experiment that is tailored for undergraduate students. The methods in this article describe an expression analysis experiment that can also be applied to CGH and SNP experiments. Factors such as technical difficulty, duration, cost, and availability of materials and equipments are considered in the lab design. The microarray teaching lab is performed in two sessions. The first is an introductory wet bench exercise that allows students to master the basic technical skills. The second builds on the concepts and skills with students acquiring and analyzing the microarray data. This lab exercise familiarizes students with large-scale data experiments and introduces them to the initial analysis steps.
authors.affiliation: Department of Pharmaceutical Sciences, St Johns University, New York, USA. carvalhf@stjohns.edu
authors.forename: Felicia I
authors.initials: FI
authors.lastname: Carvalho
authors.forename: Christopher
authors.initials: C
authors.lastname: Johns
authors.forename: Marc E
authors.initials: ME
authors.lastname: Gillespie
mesh_terms: D001690:Biological Science Disciplines / Q000193:education* / Q000379:methods; D003479:Curriculum; D015870:Gene Expression; D023281:Genomics / Q000193:education* / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010379:Peer Group; D018794:Problem-Based Learning / Q000379:methods*; D013334:Students; D013997:Time Factors