This project was prepared as part of a BioQUEST faculty development workshop entitled Bioinformatics in Biology Education: Working with Sequence, Structure and Function at Cornell University in October 2003. The BioQUEST Curriculum Consortium is committed to the reform of undergraduate biology instruction through an emphasis on engaging students in realistic scientific practices. This approach is sometimes characterized as an inquiry driven approach and is captured in BioQUEST's three P's (problem-posing, problem-solving, and peer-persuasion). As part of this workshop groups of faculty were encouraged to initiate innovative curricular projects. We are sharing these works in progress in the hope that they will stimulate further exploration, collaboration and development. Please see the following links for additional information:

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Differential gene expression in breast carcinoma
 
 
Authors          Audiences          Overview           Materials          Resources           Future Directions
 

 


Authors


Anna Tan-Wilson
State University of New York at Binghamton


Andrew Ryder
Marist College

 
   
 


Possible Audiences:

Upper-level undergraduate courses in biochemistry, molecular biology or genetics  

 
 


Brief Overview:

Working on gene expression data available on the web, students can determine which genes are up-regulated. Each of those individual genes are linked to GO. This work can be preceded by a discussion of what sets of genes students think will be up-regulated in cancer vs normal tissue.  

 
   
 


Project Materials:

The differential gene expression data acquired by the technique, SAGE (Serial Analysis of Gene Expression) is intuitive. They can elect to display all the genes that are up-regulated in normal vs cancer tissue, or the other way around. Clicking on Gene Info gives information about the gene, including links to the GO annotation.  

 
 


Resources and References:

http://cancerres.aacrjournals.org/cgi/content/full/61/15/5697  

 
   
 


Attachments


- CGAP_SAGE.rtf