BIOL368/F14:Week 15

This journal entry is due on Wednesday, December 10 at midnight PDT (Tuesday night/Wednesday morning). NOTE that the server records the time as Eastern Daylight Time (EDT). Therefore, midnight will register as 03:00.

NOTE that this assignment is UNDER CONSTRUCTION.

Background

References

• Brown, P.O. & Botstein, D. (1999) Exploring the new world of the genome with DNA microarrays Nature Genetics 21: 33-37.
• Campbell, A.M. and Heyer, L.J. (2003), “Chapter 4: Basic Research with DNA Microarrays”, in Discovering Genomics, Proteomics, and Bioinformatics, Cold Spring Harbor Laboratory Press, pp. 107-124. (Available on MyLMUConnect)
• Dahlquist, K.D., Salomonis, N., Vranizan, K., Lawlor, S.C., & Conklin, B.R. (2002) GenMAPP, A New Tool for Viewing and Analyzing Microarray Data on Biological Pathways. Nature Genetics 31: 19-20.
• DeRisi, J.L., Iyer, V.R., and Brown, P.O. (1997) Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale. Science 278: 680-686.
• Doniger et al. (2003)
• Salomonis et al. (2007)

Overview of DNA Microarray Analysis

This is a list of steps required to analyze DNA microarray data.

1. Quantitate the fluorescence signal in each spot in the microarray image.
   • Typically performed by the scanner software, although third party software packages do exist.
   • The image of the microarray slide and this quantitation are considered the "raw-est" form of the data.
   • Ideally, this type of raw data would be made publicly available upon publication.
   • In practice, the image data is usually not made available because the raw image file of one slide could be up to 100 MB in size.
   • Also, some journals do not require data deposition as a requirement for publication, so often published data are not actually available anywhere for download.
   • Microarray data is not centrally located on the web. Some major sources are:
     • NCBI GEO
     • EBI ArrayExpress
     • Stanford Microarray Database
     • PUMAdb (Princeton Microarray Database)
     • In addition, microarray data can sometimes be found as supplementary information with a journal article or on an investigator's own web site.
2. Calculate the ratio of red/green fluorescence
3. Log(base 2) transform the ratios
4. Normalize the log ratios on each microarray slide
5. Normalize the log ratios for a set of slides in an experiment
6. Perform statistical analysis on the log ratios
7. Compare individual genes with known data
8. Look for patterns (expression profiles; clusters) in the data (many programs are available to do this)
9. Perform Gene Ontology term enrichment analysis (we will use MAPPFinder for this)
10. Map onto biological pathways (we will use GenMAPP for this)

Individual Journal Assignment

• Store this journal entry as "username Week 15" (i.e., this is the text to place between the square brackets when you link to this page).
• Create the following set of links. These links should all be in your personal template; then use the template on your journal entry.
  • Link to your journal entry from your user page.
  • Link back from your journal entry to your user page.
  • Link to this assignment from your journal entry.
  • Don't forget to add the "BIOL368/F14" category to the end of your wiki page.

Complete Microarray Data Analysis

• Using the spreadsheet that you submitted for the Week 13 Assignment, you will now complete GenMAPP and MAPPFinder analysis of your dataset.
  • This page gives a sample protocol for the analysis of a Vibrio cholerae dataset.
• You will keep a detailed electronic notebook page that details all of the data manipulations and calculations that you perform on your dataset.
• You will upload the following list of files (note that it may be easier to zip all of these files together and then upload them as a single zipped file, rather than zipping and uploading individually, for filetypes not allowed by OpenWetWare).
  1. Your exceptions file when you imported your data into GenMAPP: .EX.txt
  2. Your Expression Dataset file: .gex
  3. Your GO results files: XXX-CriterionX-GO.txt
  4. Your GO results saved as Excel spreadsheets with filters applied: .xls or .xlsx
  5. The MAPP you looked at: .mapp
  6. The MAPPFinder GO mappings file: .gmf

Note: The individual journal entry for this week is worth 10 points like all other journal entries. The research presentation is worth 80 points.