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1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

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Page 1: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

1

Building an efficient automated screening facility

Dr. Steven van Helden

Life Sciences Park Oss

Eindhoven, 3 april 2012

Page 2: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

2

Outline

►Introduction Discovery & Screening►The process►Users

►Flexibility►Benchmarking

►Conclusion

Page 3: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

3

Declining Output of New Molecular Entities

0

50

100

150

200

250

1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007*

Year

Inde

xed

to 1

997

R&D expenditure Development times NME output Sales

2008 © Thomson Reuters.

Page 4: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

4

In Vitro Testing in R&D

Compoundcollection

HTS

AssaysChemistry

HitOptimization

HitsBiology

LeadOptimization

TargetID

HTSHit

OptimisationLead

OptimisationDevelopmentCandidate

DevelopmentProcess

Page 5: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

5

Scale of in-vitro screening

LibrariesHO HTS

Plates1000

1

10

100

AD LOHO

A utomation inS creening and

P harmacologyI ntegration of the

R esearch E nvironment

Page 6: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

6

Automation: Screening Islands

“HTS”

“Plate Prep” “Reader”

“Stand-alone”

• Flexible• Modular• Scalable• User-friendly• Proven Technology

Page 7: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

7

The Result: 6 Islands in a Lab

2 screening islands

Fully automated assays

2 reader islandsParts of assays, dispensing

2 plate preparation islandsPrepare plates, serial dilutions

Page 8: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

8

Outline

►Introduction Discovery & Screening►The process►Users

►Flexibility►Benchmarking

►Conclusion

Page 9: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

9

Our Process

►Collect ideas►Write User Requirement Specification (URS)►Call for proposals

►Select vendor►Write Functional Design Specification (FDS)

►Implement project

Page 10: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

10

User Requirement Specification

Page 11: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

11

Our Process

►Collect ideas►Write User Requirement Specification (URS)►Call for proposals

►Select vendor►Write Functional Design Specification (FDS)

►Implement project

Page 12: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

12

Docking Units – Think about Custom Design

Page 13: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

13

Outline

►Introduction Discovery & Screening►The process►Users

►Flexibility►Benchmarking

►Conclusion

Page 14: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

14

Involve Users

►Involve users throughout project►Listen to user

� It is not what they say, but what they do not say…

►Automate the new situation►Quality Awareness

►Support in the lab� Dedicated people

� Not a job for IT departmentDev iat ion of volum e per well , com pared t o average volum e of plate >5% < -5%

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23A -1.3% -0. 2% -0. 1% -1.0% -1. 4% -0. 4% -0.4% -1.2% -0. 1% 0. 9% -0.4% -1. 3% -1. 9% -1.2% -1. 6% -0. 1% -2.2% -2.1% -0. 3% -1. 0% 0.7% -0. 8% -2. 2%B 1.6% -1. 6% -0. 8% 0.7% -1. 6% -3. 3% 0.0% -2.3% -1. 4% -0. 8% -1.5% 0. 7% 0. 3% 1.3% -0. 1% 0. 0% -0.4% 0.5% -0. 5% -0. 9% -2.4% -1. 2% -1. 0%C 2.2% -0. 6% 0. 1% -0.9% 0. 1% -0. 1% 1.1% -1.3% 0. 3% -1. 1% 0.9% 0. 3% -0. 8% 1.7% 1. 6% 1. 8% -0.3% 0.9% 0. 0% 0. 4% 0.1% 0. 6% -1. 0%D 2.3% 0. 7% 0. 5% 0.6% 1. 4% -0. 2% 0.8% -1.1% 0. 9% 0. 8% 0.9% -0. 2% 0. 1% 1.7% 1. 1% 1. 8% -1.0% 2.3% 0. 3% 0. 6% -1.1% 1. 3% 0. 1%E 3.8% 0. 9% 0. 9% -2.5% 1. 7% -1. 4% -0.4% 2.4% -0. 2% 0. 0% 2.2% 1.8% 1. 0% 1.8% 0. 6% 1. 4% 0.1% -1.9% 0. 9% 1. 0% -0.1% 0. 6% -0. 8%F 1.7% -1. 0% 0. 1% 0.5% 0. 7% 0. 4% -0.3% -0.9% 0. 4% 0. 1% 2.3% 0. 0% 1. 7% 1.3% 1. 5% 0. 4% 1.3% -0.4% 0. 0% 1. 5% 1.0% 0. 5% 0. 0%G 2.8% 1. 1% -1. 3% -3.0% -0. 3% -1. 5% -0.8% -2.0% -1. 1% -2. 4% -0.8% -2. 0% -4. 4% -0.9% -1. 0% -1. 0% -12.7% -6.0% -2. 1% -0. 4% -2.3% -2. 1% -1. 8%H -4.8% -5. 0% -3. 9% -4.4% -4. 2% -5. 3% -4.7% -4.8% -3. 7% -3. 8% -4.3% -3. 8% -2. 8% -3.1% -3. 2% -2. 8% -4.8% -2.5% -3. 5% -3. 4% -4.5% -3. 8% -3. 0%I 2.6% 1. 0% 1. 0% 0.9% 1. 9% 1. 5% 2.2% 1.3% 1. 9% 4. 4% 2.4% 1. 3% 1.6% 1.7% 1. 5% 1. 8% 0.9% 1.5% 0. 9% 1. 0% 0.8% 1. 4% 0. 0%J 0.3% 0. 1% 1. 1% 1.5% 1. 4% 1. 8% 2.6% 1.8% 2. 9% 2. 0% 2.0% 2. 2% 1.8% 1.9% 1. 8% 2. 2% 0.7% 1.1% 0. 9% 0. 8% 0.9% 0. 4% -0. 5%K 0.6% -3. 3% 1. 1% -1.4% -3. 8% -1. 0% -1.2% -1.8% -0. 9% -1. 3% -3.2% -1. 4% -0. 1% -1.0% -1. 2% -0. 6% -1.9% -0.6% -1. 0% -1. 2% -1.3% -0. 9% -1. 6%L -1.5% -1. 8% -0. 9% -0.9% -1. 1% -1. 3% -1.1% -0.5% -0. 4% -0. 3% 0.0% -0. 4% -0. 2% 0.6% 0. 5% 0. 9% -0.6% -0.6% -0. 6% -1. 2% -0.9% -1. 1% -1. 2%M 1.6% 0. 3% -3. 4% 1.1% -0. 4% 0. 4% 0.9% 0.7% 0. 7% 0. 8% 1.0% 0. 7% 0. 6% 1.0% 0. 7% 1. 6% 1.1% 0.9% 0. 3% 0. 6% 0.6% 0. 7% 0. 0%N 0.4% 0. 8% 0. 7% 1.0% 1. 1% 0. 9% 0.9% 1.0% 1. 6% 1. 5% 1.3% 0. 8% 1.3% 1.0% 1. 7% 1. 4% 1.6% 0.5% 2. 2% 1. 1% 1.0% 1. 0% 0. 7%O -0.1% 1. 0% 2. 0% -0.8% 2. 4% 1. 8% 1.4% 1.3% 1. 1% 1. 3% 1.7% 1. 3% 1. 0% 2.2% 1. 3% 2. 2% 1.1% 1.4% 1. 5% 1. 5% 0.8% 1. 0% 0. 5%P 1.5% 0. 4% -0. 2% 1.0% 0. 3% 0. 5% 0.7% 1.5% 1. 3% 1. 9% 1.9% 2. 4% 3. 0% 2.5% 2. 9% 2. 8% 2.4% 1.9% 1. 9% 1. 9% 0.9% 0. 9% 0. 7%

Deviati on of vol ume per well, compared to average volume of plate >5% < -5%1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23

A 6.7% -9.2% 11.4% -2.3% 0.7% 1.5% -6.0% 5.1% -3.6% -0.7% 3.7% -8.7% 6.9% -2.9% -2.5% 4.8% -9.2% 6.4% -1.8% -4.0% 5.5% -5.9% -1.4%B 7.3% -9.3% 11.3% -0.8% -3.3% 3.9% -8.1% 8.1% -2.3% -1.5% 4.4% -11.1% 7.7% -1.2% -3.8% 6.7% -9.3% 7.6% -0.7% -4.8% 5.5% -6.6% -1.3%C 4.6% -7.2% 6.9% 4.7% -5.4% 5.6% -8.2% 5.1% 0.1% -4.4% 6.7% -9.9% 6.6% -0.1% -4.8% 7.4% -11.8% 5.7% 1.4% -4.8% 5.6% -7.3% -2.2%D 7.0% -7.8% 7.9% 0.0% -1.9% 2.4% -6.4% 3.8% -2.8% -1.1% 2.7% -9.3% 4.6% -1.4% -1.8% 2.7% -8.7% 5.2% -0.7% -4.4% 3.2% -5.4% -3.5%E 8.2% -7.1% 7.8% 1.6% -3.4% 4.8% -6.7% 5.6% -0.6% -2.2% 4.8% -7.8% 5.2% 0.4% -2.3% 4.5% -7.5% 4.1% 1.2% -4.0% 4.4% -5.0% -1.9%F 5.9% -6.5% 7.9% -1.4% 2.2% -1.8% -6.0% 3.1% -2.5% 1.2% 2.0% -7.4% 6.2% -3.4% -1.0% 0.8% -4.9% 3.4% -1.2% -3.0% 2.3% -4.1% -2.9%G 7.0% -6.3% 6.6% 3.4% -6.6% 6.8% -7.7% 4.7% 0.9% -4.9% 5.4% -8.1% 4.0% 2.4% -4.0% 4.8% -8.2% 2.9% 2.0% -3.8% 4.5% -6.0% -1.8%H 5.5% -3.6% 6.6% 1.1% 0.3% 0.0% -3.6% 3.2% -1.3% 1.1% 1.4% -4.5% 3.7% -0.6% 0.2% 1.0% -3.6% 3.6% 0.0% -1.8% 2.0% -2.6% -2.5%I 7.1% -4.4% 5.3% 3.9% -3.6% 4.9% -4.7% 2.9% 1.9% -2.9% 3.4% -3.7% 2.5% 3.1% -1.9% 2.7% -4.8% 2.5% 3.0% -3.0% 3.3% -3.6% -2.2%J 5.1% -2.9% 0.9% 1.6% 0.8% -2.6% -1.4% 0.7% -0.3% 6.0% -0.5% -2.2% 1.9% -1.8% 2.5% -1.8% -1.3% 2.4% -0.3% -0.6% -0.3% -0.7% -3.3%K 5.3% -3.5% 3.7% 6.2% -6.9% 6.6% -4.7% 0.8% 3.8% -4.3% 3.8% -4.0% -1.1% 4.7% -0.7% 1.5% -3.0% 0.3% 4.0% -3.3% 1.4% -1.7% -3.2%L 4.5% -1.9% 2.4% 3.4% -1.4% 0.0% -0.8% 0.7% 1.1% 0.2% 0.7% -1.2% 0.7% 1.0% 1.7% -1.1% -0.4% 0.3% 1.8% -0.6% 1.4% -1.9% -3.8%M 2.5% -3.6% 3.1% 3.8% -3.0% 2.6% -1.8% -0.8% 3.1% -2.1% 0.2% -1.4% -1.1% 2.9% -0.4% -0.1% -1.5% 0.0% 2.4% -2.5% 1.6% -2.2% -4.4%N 0.3% 0.8% 0.0% 3.1% 1.5% -2.3% 1.0% -1.7% 2.3% 0.5% -1.3% 1.4% -0.4% 2.7% 2.9% -3.5% 2.7% -0.3% 1.4% 0.5% 0.3% -0.5% -2.7%O 1.6% -0.5% -0.6% 5.6% -1.1% 0.3% 0.8% -3.3% 2.4% 0.0% -0.6% 0.0% -2.9% 2.9% 0.0% -2.1% 0.5% -1.0% 1.8% -1.1% 0.0% -1.4% -5.0%P 1.9% -1.9% -1.2% 8.1% -5.4% 2.3% 1.0% -4.1% 5.6% -1.9% 1.6% 0.4% -3.6% 5.5% 0.9% -0.8% 0.8% -1.2% 4.0% 0.0% 0.8% -0.8% -3.5%

Page 15: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

15

Outline

►Introduction Discovery & Screening►The process►Users

►Flexibility►Benchmarking

►Conclusion

Page 16: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

16

Docking Concept

Page 17: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

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Docking Concept

Page 18: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

18

Standardization

►Quality of data� Consistency of data

� Interpretation of data

� Cross project/site comparison

� Automated quality control procedures

►Efficiency of process� Maintenance of methods in the (automated) lab

� Maintenance of data processing tools and corporate databases

� Less training required

Conc-10 -8 -6

Ef f ect

-20

-10

0

10

20

30

40

50

60

70

80

90

100

Page 19: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

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Ultimate Flexibility: Change of Company

►Open Access Screening Facility

►High Throughput Screening (100K compounds)

► In-vitro testing

►Pharma, Agro, Food, …

►Chemicals & Biologicals

► “Closed” Pharma Research Facility

Page 20: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

20

Outline

►Introduction Discovery & Screening►The process►Users

►Flexibility►Benchmarking

►Conclusion

Page 21: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

21

Benchmarking

Introduction ASPIRE

Q4 2009 not included

►Output

►Quality

►Cost

Page 22: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

22

Conclusion

Successful lab automation depends on

people, the process and your organisation,

not just on robots

Page 23: Steven van Helden - Fhi · 1 Building an efficient automated screening facility Dr. Steven van Helden Life Sciences Park Oss Eindhoven, 3 april 2012

23

Acknowledgement

►The ASPIRE team in Oss and Newhouse� J.vd Broek, JW Boiten, C. Kuil, W. Kuijpers

� J.Connick, S.Komesli, G. McVey, J.Roberts, A.Pate

►The specialists in Oss� H. Jansen, G.Rovers, R.Geurts, W.Kop

►The experienced users in Oss� M.v Amstel, S. Ruygrok, M. Timmerman, A. v Driel, T. Lam, S. Lobregt,

►All users in Oss►The Beckman Coulter team