Gene expression analysis: Teaching Students to do 30,000 Experiments at once with Microarray

Carvalho, F. I., Johns, C., Gillespie, M. E. (May 2012) Gene expression analysis: Teaching Students to do 30,000 Experiments at once with Microarray. Biochemistry and Molecular Biology Education, 40 (3). pp. 181-190. ISSN 1470-8175

URL: http://www.ncbi.nlm.nih.gov/pubmed/22615226
DOI: 10.1002/bmb.20588

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.

Item Type: Paper
Uncontrolled Keywords: Laboratory exercises gene expression biotechnology education genomics proteomics bioinformatics microarray technology dna
Subjects: bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification
bioinformatics > genomics and proteomics > genetics & nucleic acid processing
educational material
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function > gene expression
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function
CSHL Authors:
Communities: CSHL labs
Depositing User: Matt Covey
Date: 3 May 2012
Date Deposited: 31 Jan 2013 21:12
Last Modified: 31 Jan 2013 21:12
Related URLs:
URI: http://repository.cshl.edu/id/eprint/26918

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