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Integrated microarray solutions at the<br />

CPGR in Cape Town, South Africa<br />

Reinhard Hiller, PhD<br />

Director<br />

Reinhard.hiller@cpgr.org.za<br />

<strong>Tecan</strong> Workshop<br />

12-13 Sep 2007


CPGR


CPGR in a nutshell<br />

CPGR<br />

members<br />

Collaborative<br />

projects<br />

Service & R&D<br />

organisation<br />

Non-exec<br />

directors<br />

ExCo<br />

CPGR board<br />

SOP-based<br />

services<br />

• Infrastructure<br />

• Expertise<br />

• Services<br />

• Collaborative projects<br />

Funding<br />

CBT, PB; MRC<br />

Mission<br />

•stimulate stimulate excellent research<br />

(IP),<br />

•Knowledge Knowledge base in<br />

Genomics & Proteomics<br />

•Boost Boost biotech economy


CPGR platform perspective<br />

Capacity<br />

development<br />

Core focus<br />

area (e.g.<br />

Plant<br />

Genomics)<br />

New<br />

Commercial<br />

ventures<br />

Collaborations


CPGR: An integrated core technology platform<br />

Affymetrix<br />

Affymetrix<br />

GeneChip GeneChip system system<br />

for large-scale<br />

large-scale<br />

genotyping genotyping & & RNA RNA<br />

expression expression profiling profiling<br />

High-quality High-quality custom custom DNA DNA<br />

microarraying microarraying & & analysis analysis<br />

biocompatible biocompatible ht ht protein protein<br />

purification, purification, MALDI- MALDI-<br />

TOF/TOF-based TOF/TOF-based protein protein<br />

id id & & de-novo de-novo sequencing,<br />

sequencing,<br />

abundance abundance & & functional functional<br />

protein protein microarrays<br />

microarrays<br />

Target Target validation validation on on<br />

ht ht qRT-PCR qRT-PCR platform platform<br />

& & TaqMan TaqMan low-density<br />

low-density<br />

arrays arrays


Project / service pipeline: July 2007<br />

Concept Preparation In progress Finished<br />

n=19 n=39 n=16 n=4<br />

20%<br />

23%<br />

5%<br />

4%<br />

48%<br />

Discontinued<br />

Biomedical<br />

Plant Biotech<br />

Bioprospect.<br />

Veterinary<br />

Preparation<br />

Concept<br />

In progress<br />

Finished<br />

Disco ntinued


Project / service pipeline: July 2007<br />

Cancer<br />

15%<br />

Clinical trial<br />

0%<br />

Pharmaceutical<br />

0%<br />

Tb<br />

15%<br />

Various<br />

11%<br />

Malaria<br />

9%<br />

Grape<br />

2%<br />

CVD<br />

2%<br />

HIV<br />

2%<br />

Biomarker<br />

9%<br />

Maize<br />

2%<br />

Mouse<br />

2%<br />

NAFLD<br />

2%<br />

Parasites<br />

2% Yeast<br />

6%<br />

Asthma<br />

4%<br />

Diagnostics<br />

13%<br />

Drug discovery<br />

4%<br />

Clinical trial<br />

Pharmaceutical<br />

Grape<br />

CVD<br />

HIV<br />

Maize<br />

Mouse<br />

NAFLD<br />

Parasites<br />

Yeast<br />

Asthma<br />

Diagnostics<br />

Drug discovery<br />

Biomarker<br />

Malaria<br />

Various<br />

Cancer<br />

Tb


Workflows


Analytical work-flows in GENOMICS<br />

RNA expression & DNA genotyping<br />

microarrays<br />

Affymetrix<br />

GeneChip<br />

platform<br />

• High-density arrays<br />

• Sequenced organisms<br />

Discovery<br />

Other<br />

customized<br />

commercial<br />

arrays, e.g.,<br />

Agilent<br />

Custom<br />

oligo- &<br />

cDNA<br />

manufactur<br />

-ing<br />

• Non-model<br />

organisms<br />

cDNA arrays<br />

• Custom<br />

development<br />

• High genome coverage<br />

• High quality standards (e.g., Agilent bioanalyser)<br />

• High reliability (e.g., <strong>Tecan</strong> hyb station)<br />

Custom microarrays & ABI<br />

7900 TaqMan system<br />

Custom DNA<br />

microarrays<br />

Validation<br />

TaqMan RT-<br />

PCR &<br />

genotyping<br />

& miRNA<br />

assays<br />

• Focussed validation of largescale<br />

genomic / transcriptomic<br />

data<br />

• Low-density arrays and / or<br />

RT-PCR assays<br />

• High throughput<br />

• Large sample numbers<br />

• High quality<br />

• Low sample requirement<br />

• Low costs


DNA microarray applications at CPGR<br />

CGH SNPs<br />

Gene<br />

expression<br />

Splice<br />

variants<br />

µRNAs<br />

Chromosome Gene Promoters mRNA Exons µRNAs<br />

Copy-number<br />

analysis<br />

• Affy<br />

• Agilent<br />

• NimbleGen<br />

• Operon<br />

DNA RNA<br />

Genotyping<br />

• Affy<br />

• Agilent<br />

• ABI 7900<br />

ChIP<br />

on<br />

chip<br />

Regulatory<br />

assessment<br />

• Affy<br />

• Agilent<br />

Gene<br />

regulation<br />

• Affy<br />

• Agilent<br />

• Operon<br />

• ABI 7900<br />

Differential<br />

splicing<br />

RNA<br />

regulation<br />

• Affy • Exiqon<br />

• BioPlex<br />

• ABI 7900


(DNA) microarray workflows at CPGR<br />

Liquid-handling robot Spotter Hyb station Scanner<br />

• Through-put<br />

• Cost-efficiency<br />

• Quality<br />

• Compatibility with other (microarray) applications


Integrated Proteomics at CPGR<br />

Electrophoresis<br />

• Separation<br />

• Identification<br />

• Quantification<br />

Protein expression<br />

• MS/MS<br />

• iTRAQ<br />

• iCAT<br />

Sample<br />

Processing<br />

Digestion<br />

Chromatography<br />

m/z<br />

Chromatography<br />

• Fractionation<br />

• Concentration<br />

• MS/MS<br />

Shotgun<br />

• Peptide IDs<br />

• Sequence<br />

Peaks / proteins of interest<br />

Extraction/<br />

purification<br />

1D/2D HPLC<br />

MALDI-TOF/TOF<br />

Protein<br />

profiling/Imaging Mass<br />

Spectrometry (IMS)<br />

Protein<br />

microarrays<br />

Suspension<br />

arrays


Protein microarray development<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

Allergen A<br />

Allergen B<br />

Allergen C<br />

Allergen D<br />

Eczema<br />

Rhinitis<br />

Asthma<br />

Extract Component(s) Component(s<br />

Component(s)<br />

Microarray (Diagnostic) profile


Side-step: Decreased costs via via increased throughput<br />

• 36 Slides á 4 assays á 80 allergens<br />

• = 144 IgE assays per run<br />

• = > 10.000 reactions per run<br />

• IgE & IgG (IgG4)<br />

• = > 20.000 reactions per run<br />

4 assays per slide<br />

36 slides per run<br />

• 4 Slides á 16 assays á 80 allergens<br />

• = 64 assays per run (= 4 slides)<br />

• = > 5.100 reactions per batch<br />

• IgE & IgG (IgG4)<br />

• = > 10.200 reactions per batch


Examples


Allergen-triplet after<br />

fluorescence-reaction<br />

(To date) 80 allergens<br />

microarrayed in each<br />

reaction site (4 identical<br />

copies)<br />

IgE-antibdy (in patient‘sserum)<br />

Allergen molecule<br />

Biochip: Modified glass<br />

slide (25x75 mm)<br />

4 reaction sites (3<br />

samples + 1 control)<br />

Fluorescence-labelled<br />

secondary anti-human<br />

IgE antibody


Manual allergen microarray assay<br />

Sample: Venous<br />

/ capillary serum<br />

Wash Allergen<br />

Microarray<br />

Prepare Allergen<br />

Microarray<br />

Scan<br />

Microarray(s)<br />

Incubate Sample<br />

Duration: 10‘<br />

Wash Allergen<br />

Microarray<br />

Duration: 3 h<br />

Analyse<br />

Microarray<br />

Image(s)<br />

Incubate<br />

Secondary<br />

Antibody


Multiplex diagnostics: Component-resolved diagnosis


IgE profiles in asthmatic children (2006)<br />

Hiller, Jeebhay, Lopata & Naidoo, manuscript in preparation


(Allergen) microarray assay automation<br />

• Diagnostics<br />

• Epidemiological studies<br />

• R&D (profiling)<br />

• (Diagnostics)<br />

• R&D<br />

• Validation


(Seafood) allergen characterisation<br />

Allergen profiling Allergen discovery<br />

Diagnostics<br />

Allergen<br />

detetection<br />

Ab assays for<br />

allergen detection<br />

(bead assays)…<br />

Reactive<br />

bands<br />

Immunoblots<br />

Affinity<br />

capturing<br />

MTP Beads<br />

MS<br />

Microarrays<br />

HPLC<br />

Columns<br />

New (and expected) allergens in<br />

seafood species<br />

Cell culture<br />

Diagnostic assays<br />

for workers in the<br />

seafood industry -<br />

> better prevention<br />

& treatment of<br />

occupational<br />

allergies


Array-based allergen profiling<br />

Extraction<br />

Fractionation<br />

Allergenic<br />

molecule<br />

Non-Allergenic<br />

molecule<br />

6 mm<br />

6 mm


Identification / characterization of latex allergens<br />

• Screening with 200<br />

samples from latex<br />

allergic patients<br />

• Pearson correlation<br />

(> 0.85, p > 0.05)<br />

• Pre-characterize<br />

unknown fractions<br />

Information gained:<br />

• Pre-characterized<br />

allergens based on<br />

cross-reactivity<br />

towards homologous<br />

proteins<br />

• Information about<br />

composition of<br />

fractions plus “state of<br />

allergens” = important<br />

for manufacturers of<br />

immunotherapy<br />

reagents (extracts)


Allergen microarrays & immunotherapy development<br />

IgE concentration (FI values)<br />

Allergen concentration in solution<br />

Which biological source contains<br />

the immunodominant allergen<br />

suitable for immunotherapy?


Screening for immunodominant allergens & epitope profiling<br />

70000<br />

60000<br />

50000<br />

40000<br />

30000<br />

20000<br />

10000<br />

0<br />

65 ng / ml<br />

1 2 3 4 5 6 7 8 9 10<br />

40 µg – 5 pg / ml<br />

Harwanegg & Hiller, unpublished results<br />

nOle e 2<br />

rBet v 2<br />

rCyn d 12<br />

rHel a 2<br />

rHev b 8<br />

rMer a 1<br />

rPar j 3<br />

rPhl p 12<br />

rPho d 2<br />

Bet v 2 (birch profilin)<br />

contains all the<br />

epitopes of 8<br />

homologous profilins<br />

Therapy<br />

candidate


Microarray-based B-cell epitope profiling: Tb peptide arrays<br />

Peptide synthesis<br />

Peptide microarray<br />

Whole proteome<br />

Protein a, b, c… c<br />

• Linear ab binding<br />

epitopes<br />

• Diagnostic peptides /<br />

signatures<br />

• Therapeutic targets


Manual vs automated Tb peptide arrays<br />

Manual Automated<br />

Manual<br />

Automated


values expressed as percentages<br />

Significant increase in S/N in automated assays<br />

100.0<br />

90.0<br />

80.0<br />

70.0<br />

60.0<br />

50.0<br />

40.0<br />

30.0<br />

20.0<br />

10.0<br />

0.0<br />

Increase in foreground signal using HSPro4800<br />

2 slide batches<br />

F635 Median - B635 F635 Total Intensity<br />

Signal - background Total signal<br />

batch 793 manual<br />

batch 793 HS4800Pro<br />

batch 866 manual<br />

batch 866 HS4800Pro<br />

• Secondary Antibody<br />

• Incubation<br />

• Precision (within & between slide & between runs,<br />

batch-to-batch etc)<br />

100%<br />

• Specificity (comp. inhibition assays)<br />

90%<br />

80%<br />

70%<br />

60%<br />

50%<br />

40%<br />

30%<br />

20%<br />

10%<br />

0%<br />

Increase in the proportion of spots detected above cut-off levels<br />

% Spots with SNR>3<br />

% spots above cut-off<br />

batch 866 HS4800Pro<br />

batch 866 manual<br />

batch 793 HS4800Pro<br />

batch 793 manual


Other microarray applications<br />

• Operon<br />

• Agilent<br />

• Exiqon<br />

• JPT<br />

• Dual malaria parasite DNA microarrays (HS 4800)<br />

• 1-plex and 4-plex genotyping arrays (CGH!) (HS 4800)<br />

• MirCury miRNA arrays -> miRNA biomarker focus area in South Africa (HS 4800)<br />

• Tb peptide arrays; CMV arrays; infectious disease arrays (malaria); allergen epitope profiling (HS<br />

4800)<br />

• VBC-GENOMICS<br />

• Gentel<br />

• CPGR<br />

• Allergen microarrays (HS 4800)<br />

• Cytokine antibody arrays (Hydroflex); cancer biomarker arrays (HS 4800)<br />

• Arrays of fractionated Tb cultures; tissue extract arrays; functional protein arrays (p450, p53) (HS<br />

4800 & HydroFlex)


Translational issues<br />

Biomarker/MDx development GAP<br />

Biology Pattern<br />

Early discovery / pre-clinical development: min. 2 years<br />

Signature<br />

Personalized<br />

medicine<br />

Validation<br />

Better diagnostics<br />

Novel drug targets<br />

Novel therapeutic<br />

applications<br />

More efficient<br />

treatments


Acknowledgements<br />

CPGR<br />

• Jonathan Blackburn<br />

• Anne Brill<br />

• Rachel van Dyk<br />

• Jo McBride<br />

• Maré Vlok<br />

• Kutala Pangwa<br />

Scientists<br />

• Mark Bowmaker (SA)<br />

• Mohamed Jeebhay (SA)<br />

• Andreas Lopata (SA)<br />

• Rajen Naidoo (SA)<br />

Companies<br />

• JPT (Germany)<br />

• VBC-GENOMICS (Austria)<br />

Funding<br />

• Christian Harwanegg<br />

•Cape Biotech Trust (CBT)<br />

•PlantBio (PB)<br />

•Medical Research Council (MRC)

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