Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

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Soybean Microarrays • Microarray construction An Introduction By Steve Clough November 2005

Transcript of Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Page 1: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Soybean Microarrays

• Microarray construction

An Introduction

By Steve Clough

November 2005

Page 2: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

cDNA: spotted collection of PCR products from different cDNA clones, each representing a different gene

Oligo: spot collections of oligos, usually 50-70 bp long

Common Microarray platforms

that span known/predicted ORFs. May haveone or more oligos representing each gene.

Affy: Affymetrix gene chips, 25 bp oligos11 per gene predicted to span ORF

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 3: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

cDNA: need to construct cDNA libraries from a variety of tissues and conditions and to sequence to verify lack of duplication.

Cheapest approach. Do not need to have a sequenced genome

Hybridization involves strands of hundreds of bases, thereforeless specificity in binding and cannot differentiatemultigene family members. Good if your organism isclosely related but not identical to one used to make the cDNA libraries used to make arrays.

Pros and Cons of cDNA platforms

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 4: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Oligo: spot collections of oligos, usually 50-70 bp longthat span known/predicted ORFs. Affymetrix chips use 25mers and 11 or so probes per ORF

Need lots of sequence information from your organism

Works best if your organism is same or very closely relatedto the one used to obtain the sequence information

More costly than cDNA arrays to manufacture

Pros and Cons of Oligo-based platforms

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 5: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Soybean cDNA Microarrays

• Microarray construction

Produced in the lab of

Dr. Lila Vodkin, U of Illinois

[email protected]

Page 6: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

AAAAAAAA

cDNA Library Synthesis (represents expressed genes)

TTT TTTTTAAAAAAAA

cDNA synthesisTTTTTTTT

AAAAAAA

Clone cDNA into vector

AAAAAAAAAAAAAA

AAAAAAAAAA

AAAAAAAA

AAAAAAAAAAA

AAAAAAAextract RNA from

variety of tissues and conditions

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 7: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

TTTTTTTTAAAAAAA

cDNA clone

TTTTTTTTAAAAAAA

Sequence cDNA

GCTCTAAGTCATCGTACTAGATCT

= protein kinase

Compare EST sequenceto database to identify

Eliminateduplicates togenerateset of unique clones

TTTTTTTTAAAAAAA

PCR amplify insertof unique clone set

Pipette PCR productsinto microtiter platesto print onto slides

GCT CTAAGTCAT CG

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 8: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Printing microarrays – picking up PCR samples

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 9: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Printing PCR products on glass slides

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 10: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Pin Washing Between PCR Samples

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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TTC

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Typically 10-25,000 spots are printed on a standard 1” x 3” microscope slide

Spots of single-stranded DNA adhered to glass surface

Note: DNA does not bind well to glass so glass is specially coated to allow ionic binding (poly-lysine slides) or covalent binding (amine or aldehyde slides)

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 12: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Fluorescently label cDNA from tissue of interest to hybridize to spots on the slide

AAAAAAAAAAAAAA

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Extract

RNA

TTTTTTTTT

TTTTTTTTT

TTTTTTTTT

TTTTTTTTT

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cDNA synthesis and fluorescent labelling

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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Labelling with Reverse Transcriptase

RNAse

mRNA 5’ 3’AAAAAAAA

dTTTTTTTRT

dATPdCTPdGTP

dTTP

dUTP

AAAAAAAART

3’5’mRNAcDNA TTTTTTT

3’ 5’

TTTTTTT3’ 5’cDNA

Direct labelling with Reverse Transcriptase

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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Indirect labelling with aa-dUTP and Reverse Transcriptase

AAAAAAAAAAAAAA

aa-dUTP

dTTPdGTP

dATP

dCTPRT

dTTTTTTTT

AAAAAAAAAA

* *TTTTTTTTT

* * * * ** *

*

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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Labelling with Klenow (DNA Polymerase)

mRNA 5’ 3’AAAAAAAA

RT dATP dCTPdGTPdTTPdTTTTTTT

5’dTTTTTTT3’cDNA

dTTTTTTT3’

AAAAAAAA 3’5’mRNAcDNA 5’

RNAse

5’ 3’

5’dTTTTTTT3’cDNA

Boil

5’dTTTTTTT3’cDNA

5’ 3’

Random hexamer primers

KlenowdTTP

dATPdGTP

dCTP

Indirect labelling with Klenow

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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Hybridization Chamber

Flourescently labelledsample is pipetted under the coverslip and allowed to hybridize to spots on slide

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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Hybridization in Water Bath

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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Washing After Hybridization

1X SSC0.2% SDS

0.2X SSC0.2% SDS

0.1X SSCSpin dry2 minute500 rpm

1 2 3

15 minutes with shaking for each

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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Scan on a Fluorescent Scanner

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 20: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Theory: Spot A will fluoresce 3 times brighter than Spot B

AC

GTG

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A

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TT*

Spot Gene B

TTC

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Spot Gene A

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Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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+

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+++++

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DNA DNA DNA DNA+

Blocking slides to reduce background. Example, positively charged amine slides.

Wash with SDS to block charges and to remove excess DNA. Then place in hot water to generate single strands. Repeat SDS wash.

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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False Coloring of Fluorescent Signal

Scale of increasing fluorescent intensities

Stronger signal (16 bit image)

2 65,536

21 216

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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mRNA Fluorescent cDNA

PFK1PFK1

UNKUNK

UNKUNK

DND1DND1

CRC1CRC1

XPR1XPR1

EPS2EPS2

PRP1PRP1

UNKUNK

UNKUNK

CHS1CHS1

PHC1PHC1

Labelled representation of all recently expressed genes Fluorescent intensity of spot is proportional to expression level Hybridized to array of individual spots of different genes

Principles behind gene expression analysis

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 24: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Fluorescent intensities from quality data (Background ~80)

115 126 826 730

50,580 53,485 45,239 49,334

15,916 15,986 7,327 7,577

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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12,605 12,338 4,455 4,560

5,989 6,427 4,552 3,824

1,262 1,233 19,990 22,899

Fluorescent intensities from quality data (Background ~80)

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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GSI Lumonics

2 dyes with well separated emission spectra allow direct comparisonof two biological samples on same slide

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Cells from condition ACells from condition ACells from condition ACells from condition A Cells from condition BCells from condition BCells from condition BCells from condition B

mRNA

Label Dye 1 Label Dye 2

Ratio of Expression of Genes from Two Sources

cDNA

equal higher in A higher in BSteve Clough, USDA-ARSUniversity of Illinois, Urbana

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Cy3 Scan Cy5 Scan Overlay

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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Example: Cy3 scan ofUninoculated control

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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Example: Cy5 scan ofPathogen inoculated sample

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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Composite image ofInoculated vs control

CHS control gene often induced by pathogens

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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Use software such as GenePix to extract data from image

1. Locate spots, define spot area, collect data from pixels within spots

2. Flags bad spots (ex: dust in spot)

3. Calculates ratio Cy5 fluorescentintensity over Cy3 intensityfor each spot

4. Produces tab-delineated tablesfor import to analysis programs

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 33: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Value of pixels within spot equals the raw data. Software will givepixel value related to fluorescence from both Cy3 and Cy5 scans

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 34: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Quick view of expression results per slide can be seen Quick view of expression results per slide can be seen by examining scatter plots of Cy5/3 intensity ratios per by examining scatter plots of Cy5/3 intensity ratios per

spotspot

6 hr 18 hr 48 hr0 hr

Cy5

Cy3 Cy3 Cy3 Cy3

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

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S R S R S R6 hpi 18 hpi 48 hpi

Data analysis

One can identifygenes with commonexpression patternsby hierarchical clustering.

Each horizontal linerepresents on gene.

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 36: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

• Cluster of different group of genes– Spotfire cluster

– Potential gene list

Clustering across experiments

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 37: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Positive: high, medium, low expresserstissue specificubiquitous

Labelling efficiency: spiked control mRNA--genes that are non-homologous to plants.

Negative: mammalian genes

Plant Microarray Controls

Miscellaneous: transgenesbacterial

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 38: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Genes not present in plantMammal-specific:

antibody / immunoglobulinneuro-relatedmyosinetc.

Negative Plant Controls

Verify ‘plant negative’ by BLAST against plant databases

Spotting solution

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 39: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Tissue specific, high expressers: ex: cotyledon: conglycinin

roots: auxin down regulated gene 12leaves: RUBISCO (small chain)

Positive Plant Controls

Ubiquitous: ex: ubiquitin (med-high)

EF1 (med-high)DAD1 (low-med)tubulin (med-high)

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 40: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Spiked mRNAs: Mammalian genes, non-homologous to plant genome.

Select several spiking controls (ex: 4).

To use:Include them on the array.Clone (with polyT tail) into a T7 or T3 expression vector

Or PCR with T7 or T3 promoter attached to 5’ primer and a poly (dT) to the 3’ primer.

Invitro transcribe with T7 or T3 RNA polymerase.Add this ‘mRNA’ to your labelling reactions--

each one at a different concentration levelto span the dynamic range of fluorescent intensities

Labelling Efficiency Controls

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 41: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

cDNA: spot a collection of ESTs

Oligo: spot collections of oligos

- need sequence info

cDNA Arrays vs Oligo Arrays

that span known/predicted ORFs

- only option for prokaryotes

- ‘shagged rug’ spots

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 42: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Oligo-based Microarrays

every ORF

Design

oligos forspecific

Spotted MicroarraySynthesize with 5’-amino linker

Design one to multiple oligos/ORF

Collect in 384-well plates

Spot on aldehyde coated slides

Affymetrix Gene Chips

Spotted oligo termed the ‘probe’

Synthesize oligo directly on chip

Proprietary photolithography synthesis

11 oligo/ORF plus mismatches

Perfect match oligos

1-base mismatch oligos

Steve Clough, USDA-ARSUniversity of Illinois, Urbana

Page 43: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

GeneChip® Probe Arrays

11 µm11 µm

Millions of copies of a specificMillions of copies of a specificoligonucleotide probeoligonucleotide probe

Image of Hybridized Probe ArrayImage of Hybridized Probe Array

> 1,200,000 different> 1,200,000 differentcomplementary probes complementary probes

Single stranded, Single stranded, labeled RNA targetlabeled RNA target

Oligonucleotide probeOligonucleotide probe

**

**

*

1.28cm1.28cm

GeneChipGeneChip Probe ArrayProbe ArrayHybridized Probe CellHybridized Probe Cell

Courtesy of Mike Lelivelt

Page 44: Soybean Microarrays Microarray construction An Introduction By Steve Clough November 2005.

Glycine max transcripts:     35,611

Phytophthora sojae transcripts:      15,421

Heterodera glycines transcripts:       7,431