Section 4.1 Introduction to Microarrays

• What happened to my home brew?
• What can we learn from stressed out yeast?
• Why are there so many copies of some genes but not others?
• How well do promoters control gene expression?
• Are promoters able to work in reverse?

4.1 How do you transform the data to avoid fractions?
4.2 How do you measure similarity between expression patterns?
4.3 How do you cluster genes?

Section 4.2 Alternative Uses of DNA Microarrays

• Why do so many different genes share the same expression profile?
• Can cells verify their own genes?

4.4 Is it useful to compare the columns of a gene expression matrix?

 

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Chapter 5: Applied Research with DNA Microarrays

Section 5.1 Cancer and Genomic Microarrays

• Are there better ways to diagnose cancer?
• Can breast cancer be categorized with microarrays, too?
• What genomic changes occur in cancer cells?

5.1 What are signature genes, and how do you use them?

 

Section 5.2 Improving Healthcare with DNA Microarrays

• Why is the tuberculosis vaccine is less effective now?
• How does this drug work?
• Can we predict which drugs will work best in different cancers?
• What happens when you accumulate fat?