Microarrays The Next Revolution Dana Arico Betsy Karle Jeff Kucharski Kumo Lartevi Dr' Terrie Rife - PowerPoint PPT Presentation

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Microarrays The Next Revolution Dana Arico Betsy Karle Jeff Kucharski Kumo Lartevi Dr' Terrie Rife

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Allows researchers to analyze the relative gene expression of ... 1. Make an Arrayed Southern Blot Membrane in Miniature. cDNA. Arrayed. Genes. Robotic ... – PowerPoint PPT presentation

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Title: Microarrays The Next Revolution Dana Arico Betsy Karle Jeff Kucharski Kumo Lartevi Dr' Terrie Rife


1
Microarrays The Next Revolution Dana
AricoBetsy Karle Jeff Kucharski Kumo
LarteviDr. Terrie Rife
To Me Make sure students take pretest first!!!!
2
Microarray Background
  • Allows researchers to analyze the relative gene
    expression of thousands of genes at one time.
  • DNA -----------------------gt
    RNA

Transcriptional Regulation
  • Complete sequencing of model organisms has made
    this technique possible
  • We know the sequence of most but not all RNAs in
    the sequenced genomes!

3
1. Make an Arrayed Southern Blot Membrane in
Miniature
Genome
Cloning Sequencing
cDNA
Robotic Printing
Arrayed Genes
4
Making the Probes
Non-alcoholics Alcoholics
Extraction
RNA
RT reaction
cDNA Labeling
5
Microarray Printer
UV Cross-Link when finished
http//150.135.37.182/dgalbrai/robot/
6
A Microarray Experiment
  • Frontal Cortex of
  • Alcoholics vs. Non - Alcoholics
  • How many genes do you expect to change in
    expression in this case?
  • By how much do you expect their expression to
    change?
  • Can we find out how much of these genes are in
    the brain?
  • Can we answer these questions using a microarray?

7
The Whole Picture
Labeled cDNA
Arrayed Genes
Hybridization
Hybridized Array
8
Gene Expression
Non-Alcoholics Alcoholics 1) I
1) 2) II 2) II 3) 3) I
I
I
II II
I
I
I
9
Thousands of Genes
10
- 4 of 4,000
RNAs
Tested Were Different
Between Alcoholics
And Non-Alcoholics by 40 or More
Quantify???
11
Uses of Microarrays
Many Applications of Microarrays Examples 1)
Gene Expression Studies 2) Mutations/ Single
Nucleotide Polymorphisms 3)Disease
Diagnosis 4) What drug should we treat with?
12
Another Way to Make Arrays- need to do SNP
Analsysis
http//www.bio.davidson.edu/courses/Molbio/MolStud
ents/spring2000/hillmann/Microarrays.html
13
What are we going to do? Dr. Slekar - Studying
Oxidative Stress Dr. Daniel - Studying Glucose
Transport
  • Harvest RNA from Yeast
  • Wild- Type
  • Yeast that have an over-expressed gene
  • Or Yeast Lacking Hexose Transporters
  • Compare their Transcription

14
Working with Yeast
15
mRNA strand
3_____________________
To Dr. Malcolm Campbell
Note Web Animation
16
Chip Reader
17
.tiff data
18
Scanalyze/gridding
 
19
Genespring
Ratio Mutant Expression / Wildtype expression
Red Mutant gene overexpressed Blue- Mutant gene
underexpressed Grey- No readable
data www.sigenetics.com
20
Genome of Yeast PHO 85 knockout
21
Cell Cycle control
22
Gene FilteringExpression Ratios less then 0.1
23
Cluster Analysis
1. Allows Identification of genes that
participate in various Biological processes -
groups genes 2. Find Clues about the function of
previously unknown genes
24
Info from http//online.itp.ucsb.edu/online/infobi
o01/domany1/
25
Considerations to improve the Results of a
Microarray Experiment
  • Replicate each experiment on multiple arrays
  • Dye reversal
  • Randomize the address of arrayed DNA
  • Large number of controls
  • Intensity series clones
  • Background hybridization control
  • Contamination controls

26
(green mutant/ red WT)
Three Pho85D Microarrays
(red mutant/green WT)
27
2 Experiments-- Different Results
Red Mutant/ Green WT
Green Mutant/ Red WT
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