DNA Microarray Wet Lab Simulation Brings Genomics into the High School Curriculum

Author:

Campbell A. Malcolm12,Zanta Carolyn A.3,Heyer Laurie J.42,Kittinger Ben1,Gabric Kathleen M.5,Adler Leslie6

Affiliation:

1. Departments of *Biology and

2. Genome Consortium for Active Teaching, Davidson College, Davidson, NC 28035-7118;

3. Howard Hughes Medical Institute Biotechnology Education and Outreach Program, University of Illinois at Urbana-Champaign, Urbana, IL 61801;

4. Mathematics and

5. Hinsdale Central High School, Hinsdale, IL 60521; and

6. Montgomery County Public School District, Rockville, MD 20850

Abstract

We have developed a wet lab DNA microarray simulation as part of a complete DNA microarray module for high school students. The wet lab simulation has been field tested with high school students in Illinois and Maryland as well as in workshops with high school teachers from across the nation. Instead of using DNA, our simulation is based on pH indicators, which offer many ideal teaching characteristics. The simulation requires no specialized equipment, is very inexpensive, is very reliable, and takes very little preparation time. Student and teacher assessment data indicate the simulation is popular with both groups, and students show significant learning gains. We include many resources with this publication, including all prelab introductory materials (e.g., a paper microarray activity), the student handouts, teachers notes, and pre- and postassessment tools. We did not test the simulation on other student populations, but based on teacher feedback, the simulation also may fit well in community college and in introductory and nonmajors' college biology curricula.

Publisher

American Society for Cell Biology (ASCB)

Subject

General Biochemistry, Genetics and Molecular Biology,Education

Reference10 articles.

1. The microarray revolution: Perspectives from educators

2. Genome Consortium for Active Teaching (GCAT)

3. Campbell A. M., Heyer L. J. (2006a). Discovering Genomics, Proteomics, and Bioinformatics In: 2nd ed. San Francisco: Benjamin Cummings, 447 pp.

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