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Introduction to

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Introduction to Microarrays * * The Central Dogma Life - a recipe for making proteins DNA protein RNA Translation Transcription ... – PowerPoint PPT presentation

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Title: Introduction to


1
Introduction to Microarrays
2
The Central Dogma
3
Life - a recipe for making proteins
Translation
Transcription
4
ATCTTTTTCGGCTTTTTTTAGTATCCACAGAGGTTATCGACAACATTTTC
ACATTACCAACCCCTGTGGACAAGGTTTTTTCAACAGGTTGTCCGCTTTG
TGGATAAGATTGTGACAACCATTGCAAGCTCTCGTTTATTTTGGTATTAT
ATTTGTGTTTTAACTCTTGATTACTAATCCTACCTTTCCTCTTTATCCAC
AAAGTGTGGATAAGTTGTGGATTGATTTCACACAGCTTGTGTAGAAGGTT
GTCCACAAGTTGTGAAATTTGTCGAAAAGCTATTTATCTACTATATTATA
TGTTTTCAACATTTAATGTGTACGAATGGTAAGCGCCATTTGCTCTTTTT
TTGTGTTCTATAACAGAGAAAGACGCCATTTTCTAAGAAAAGGAGGGACG
TGCCGGAAGATGGAAAATATATTAGACCTGTGGAACCAAGCCCTTGCTCA
AATCGAAAAAAAGTTGAGCAAACCGAGTTTTGAGACTTGGATGAAGTCAA
CCAAAGCCCACTCACTGCAAGGCGATACATTAACAATCACGGCTCCCAAT
GAATTTGCCAGAGACTGGCTGGAGTCCAGATACTTGCATCTGATTGCAGA
TACTATATATGAATTAACCGGGGAAGAATTGAGCATTAAGTTTGTCATTC
CTCAAAATCAAGATGTTGAGGACTTTATGCCGAAACCGCAAGTCAAAAAA
GCGGTCAAAGAAGATACATCTGATTTTCCTCAAAATATGCTCAATCCAAA
ATATACTTTTGATACTTTTGTCATCGGATCTGGAAACCGATTTGCACATG
CTGCTTCCCTCGCAGTAGCGGAAGCGCCCGCGAAAGCTTACAACCCTTTA
TTTATCTATGGGGGCGTCGGCTTAGGGAAAACACACTTAATGCATGCGAT
CGGCCATTATGTAATAGATCATAATCCTTCTGCCAAAGTGGTTTATCTGT
CTTCTGAGAAATTTACAAACGAATTCATCAACTCTATCCGAGATAATAAA
GCCGTCGACTTCCGCAATCGCTATCGAAATGTTGATGTGCTTTTGATAGA
TGATATTCAATTTTTAGCGGGGAAAGAACAAACCCAGGAAGAATTTTTCC
ATACATTTAACACATTACACGAAGAAAGCAAACAAATCGTCATTTCAAGT
GACCGGCCGCCAAAGGAAATTCCGACACTTGAAGACAGATTGCGCTCACG
TTTTGAATGGGGACTTATTACAGATATCACACCGCCTGATCTAGAAACGA
GAATTGCAATTTTAAGAAAAAAGGCCAAAGCAGAGGGCCTCGATATTCCG
AACGAGGTTATGCTTTACATCGCGAATCAAATCGACAGCAATATTCGGGA
ACTCGAAGGAGCATTAATCAGAGTTGTCGCTTATTCATCTTTAATTAATA
AAGATATTAATGCTGATCTGGCCGCTGAGGCGTTGAAAGATATTATTCCT
TCCTCAAAACCGAAAGTCATTACGATAAAAGAAATTCAGAGGGTAGTAGG
CCAGCAATTTAATATTAAACTCGAGGATTTCAAAGCAAAAAAACGGACAA
AGTCAGTAGCTTTTCCGCGTCAAATCGCCATGTACTTATCAAGGGAAATG
ACTGATTCCTCTCTTCCTAAAATCGGTGAAGAGTTTGGAGGACGTGATCA
TACGACCGTTATTCATGCGCATGAAAAAATTTCAAAACTGCTGGCAGATG
ATGAACAGCTTCAGCAGCATGTAAAAGAAATTAAAGAACAGCTTAAATAG
CAGGACCGGGGATCAATCGGGGAAAGTGTGAATAACTTTTCGGAAGTCAT
ACACAGTCTGTCCACATGTGGATAGGCTGTGTTTCCTGTCTTTTTCACAA
CTTATCCACAAATCCACAGGCCCTACTATTACTTCTACTATTTTTTATAA
ATATATATATTAATACATTATCCGTTAGGAGGATAAAAATGAAATTCACG
ATTCAAAAAGATCGTCTTGTTGAAAGTGTCCAAGATGTATTAAAAGCAGT
TTCATCCAGAACCACGATTCCCATTCTGACTGGTATTAAAATTGTTGCAT
CAGATGATGGAGTATCCTTTACAGGGAGTGACTCAGATATTTCTATTGAA
TCCTTCATTCCAAAAGAAGAAGGAGATAAAGAAATCGTCACTATTGAACA
GCCCGGAAGCATCGTTTTACAGGCTCGCTTTTTTAGTGAAATTGTAAAAA
AATTGCCGATGGCAACTGTAGAAATTGAAGTCCAAAATCAGTATTTGACG
ATTATCCGTTCTGGTAAAGCTGAATTTAATCTAAACGGACTGGATGCTGA
TGAATATCCGCACTTGCCGCAGATTGAAGAGCATCATGCGATTCAGATCC
CAACTGATTTGTTAAAAAATCTAATCAGACAAACAGTATTTGCAGTGTCC
ACCTCAGAAACACGCCCTATCTTGACAGGTGTAAACTGGAAAGTGGAGCA
AAGTGAATTATTATGCACTGCAACGGATAGCCACCGTCTTGCATTAAGAA
AGGCGAAACTTGATATTCCAGAAGACAGATCTTATAACGTCGTGATTCCG
GGAAAAAGTTTAACTGAACTCAGCAAGATTTTAGATGACAACCAGGAACT
TGTAGATATCGTCATCACAGAAACCCAAGTTCTGTTTAAAGCGAAAAACG
TCTTGTTCTTCTCACGGCTTCTGGACGGGAATTATCCAGACACAACCAGC
CTGATTCCGCAAGACAGCAAAACAGAAATCATTGTGAACACAAAAGAATT
CCTTCAGGCCATTGATCGTGCATCTCTTTTAGCTAGAGAGGGACGCAACA
AATTGCCGATGGCAACTGTAGAAATTGAAGTCCAAAATCAGTATTTGACG
ATTATCCGTTCTGGTAAAGCTGAATTTAATCTAAACGGACTGGATGCTGA
TGAATATCCGCACTTGCCGCAGATTGAAGAGCATCATGCGATTCAGATCC
CAACTGATTTGTTAAAAAATCTAATCAGACAAACAGTATTTGCAGTGTCC
ACCTCAGAAACACGCCCTATCTTGACAGGTGTAAACTGGAAAGTGGAGCA
AAGTGAATTATTATGCACTGCAACGGATAGCCACCGTCTTGCATTAAGAA
AGGCGAAACTTGATATTCCAGAAGACAGATCTTATAACGTCGTGATTCCG
GGAAAAAGTTTAACTGAACTCAGCAAGATTTTAGATGACAACCAGGAACT
TGTAGATATCGTCATCACAGAAACCCAAGTTCTGTTTAAAGCGAAAAACG
TCTTGTTCTTCTCACGGCTTCTGGACGGGAATTATCCAGACACAACCAGC
CTGATTCCGCAAGACAGCAAAACAGAAATCATTGTGAACACAAAAGAATT
CCTTCAGGCCATTGATCGTGCATCTCTTTTAGCTAGAGAGGGACGCAACA
CAGACACAACCAGCCTGATTCCGCAAGACAGCAAAACAGAAATCATTGTG
AACACAAAAGAATTCCTTCAGGCCATTGATCGTGCATCTCTTTTAGCTAG
AGAGGGACGCAACAAAGAATTCCTTCAGGCCATTGATCGTGCATCTCTTT
TAGCTAGAGAGGGACGCAACATTGTGA
DNA
5
The Central Dogma
6
Hybridization
7
Introduction to Microarrays
8
Microarrays - The Concept
Measure the level of transcript from a very large
number of genes in one go
9
Microarrays - The Technologies
Stanford Microarrays High-density
10
Why?
11
How?
12
Stanford-type Microarrays
13
Stanford-type Microarrays
14
Making Microarrays
  • oligos
  • cDNA library
  • PCR products

1. Produce probes
2. Print by the use of a robot
15
Spotting - Mechanical deposition of probes
16
16-pin microarrayer
17
(No Transcript)
18
Microarrayer
19
Making Microarrays
  • oligos
  • cDNA library
  • PCR products

1. Produce probes
2. Print by the use of a robot
  • 3. Post-process
  • rehydrate
  • snap dry
  • UV-cross link
  • block surface

20
Sample preparation
21
Stanford microarrays
DESIGN and ORDER PROBES
22
Affymetrix GeneChip oligonucleotide array
  • 11 to 20 oligonucleotide probes for each gene
  • On-chip synthesis of 25 mers
  • 20.000 genes per chip
  • good quality data low variance

23
Catalog Arrays
NimbleExpress Array Program
24
Fluidic Station and Scanner
25
The Affymetrix Genechip
26
Photolithography
in situ synthesis
Spacers bound to surface with photolabile
protection groups
27
Photolithography - Micromirrors
NimbleExpress Array Program manufactured on
Iceland by NimbleGen Systems Inc.
28
The Affymetrix GeneChip
  • A gene is represented like this

- Perfect Match (PM) - MisMatch (MM)
29
NimbleGen Systems Inc.
380.000 probes/array They do most of the
practical work
30
The Technologies - Flexibility
Stanford microarrays Are flexible, but new
probes must be ordered each timeHigh-density
Are not flexible, ....unless you order the
NimbleExpress chip or use the NimbleGen Systems
31
Analysis of Data
  • Normalization
  • Linear or non-linear

32
Is it worth it?
Known positives versus the total number of
significantly affected genes at 5 different
cutoffs in the TnrA experiment
Number of known positives
Qspline normalization Linear normalization
Number of significantly affected genes
33
Analysis of Data
  • Normalization
  • Linear or non-linear

Statistical test students t-test ANalysis Of
VAriance (ANOVA)
Analysis Principle Component Analysis (PCA)
Clustering and visualization
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