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-6 -4 -2 2 4 6 -6 -4 -2 2 4 6 Replicate 1 Replicate 2 Myofibroblast to fibroblast transition assay (MFT) Figure 3. MFT assay format (A). Inhibition of ACTA2 mRNA measured by FISH in a 384w plate format (B) (ViewRNA, Affymetrix ® ). High content imaging with IN Cell 2200 (GE Healthcare). Quantification using in-house algorithm measuring ACTA2 expression normalized by expression of EEF1A1 (housekeeping gene). Introduction Systemic sclerosis (SSc) is a rare autoimmune and fibrotic disease characterized by a severe skin thickening. It affects connective tissues of multiple organs causing structural and functional abnormalities (e.g. lung, heart, kidney). To date, no effective therapy has been identified. Myofibroblasts play a significant role in SSc by secreting profibrotic factors, leading to excessive synthesis and deposition of extracellular matrix. They are characterized by overexpression of alpha smooth muscle actin (αSMA). Aim of the study Our goal was to identify and validate novel candidate drug targets using RNAi in phenotypic assays in SSc patient-derived fibroblasts. In collaboration with the Leiden University Medical Center, dermal fibroblasts and keratinocytes were isolated from 4 mm skin biopsies collected from 14 patients with diffuse cutaneous SSc. Patient were recruited according to ACR/EULAR 2013 criteria. www.criver.com Target Discovery program in Systemic sclerosis Loubna Chadli, Britt Sotthewes, Marc Cheung, Stefan N. Andersen, Guilherme G. Dos Santos, Jamil Aarbiou, Jeroen DeGroot # and David F. Fischer. Charles River Laboratories Nederland B.V. ; Darwinweg 24, 2333 CR Leiden, the Netherlands. # Corresponding author: [email protected]. Charles River Symposium - Advancing Rare Disease Drug Discovery 06/2016 A B Figure 1. Reversion of myofibroblast phenotype by adenoviral transduction of shRNAs. Primary screen: ~21,000 shRNAs Rescreen: ~ 550 shRNAs 3D contractility & toxicity counter screen On-target RNA profiling 3D skin Expression Targets MFT assay development & SSc patient recruitment in collaboration with LUMC Target Discovery & Validation Approach RNA profiling comparing SSc and healthy biopsies allowed the selection of the most relevant SSc donors (data not shown). A high-throughput assay measuring the reversion of myofibroblasts phenotype was developed to screen Charles River’s Silence Select library (> 21,000 adenoviral shRNAs). Inhibition of mRNA expression of αSMA was quantified in a 384 assay format using fluorescence in situ hybridization (FISH). In addition, fibroblast contractility and impedance assays and a 3D skin equivalent model were developed to validate the potential targets identified during the screening phase. Figure 2. Target discovery approach using human primary SSc dermal skin fibroblasts ACTA2 shRNA Neg. ctrl ACTA2 (Cy3) Nuclei (DAPI) ACTA2 (Cy3) EEF1A1 (Cy5) Untransduced D0 D2 Serum deprivation Seed 10% FBS D3 Transduction with adenoviral shRNAS D4 Refresh D7 Fix plate & Staining High content imaging Primary screening of SilenceSelect ® shRNA library Figure 4. Primary screening performed in one SSc donor, n=2 (~ 21,000 shRNAs, 95 plates). ACTA2 and aveGFP shRNAs used as positive and negative controls. Data represent robust Z score based on sample distribution. Example heat maps show plate distribution (A). Data distribution shown in dot plot (B), box plot (C) and correlation plot (D). Hit calling performed at < -1.5. Duplicate hits at -1.5, single hits at -2.3 and activator shRNAs (>2.0): ~550 shRNAs selected for rescreen. Statistical results shown in F. B D aveGFP neg. control ACTA2 pos. control Cut-off -1.0 Cut-off -2.3 Cut-off -1.5 Samples -6.0 -4.0 -2.0 0.0 2.0 4.0 6.0 Robust Z score ACTA2/EEF1A1 Robust Z score ACTA2/EEF1A1 C ρ: 0.6 One plate Stack of 80 plates A -6 -4 -2 -6 -4 -2 Replicate 1 Replicate 2 -2.3 -1.5 -1.0 ~ 550 selected hits E Screen statistics Z prime Assay window Spearman rank Kappa value Average 0.27 5.45 0.60 0.37 Hit performance % false positive % false negative Robust Z score of duplo hits % inhibition in duplo hits Duplo hit rate Average 0.09% 0.39% -2.07 71.58% 2.18% F Fibroblasts Myofibroblast Adenoviral transduction of shRNAs Myofibroblast Hit: potential target gene No hit Migration ECM a SMA aveGFP_v17 ACTA2_v3 Samples -6.0 -4.0 -2.0 0.0 2.0 4.0 6.0 Conclusion SSc fibroblasts constitute a relevant model to identify novel targets involved in SSc pathogenesis. In this program, we successfully identified ~ 550 shRNAs to be used in rescreen. 2D and 3D assays are in development to validate the targets. Acknowledgments We would like to thank Dr. J. De Vries-Bouwstra and Pr. T.W.J. Huizinga for their role in patient recruitement (Department of Rheumatology, Leiden University Medical Center). We also thank our collaborators at Pluriomics B.V. for access and guidance on the xCelligence system (Leiden, The Netherlands). Validation assays: Gel contractility Validation assays: Impedance assay Figure 6. Effect of TGFβ1 on impedance of human healthy fibroblasts. Cell impedance (electrical resistance) measured in 48 well E-plates (A, electrode plates) using xCelligence® ECR system (ACEA Biosciences) (B). Assay in development. Validation assays: 3D skin equivalent model Figure 7. 3D full-thickness skin equivalent (SE) model. Fibroblasts seeded in rat tail collagen to reconstitute a dermal equivalent. Keratinocyte seeded on dermal equivalent to induce epidermal reconstruction (A). Pictures of SE model and histology with hematoxylin eosin staining (B). Assay in development. Untransduced Neg. ctrl Pos. ctrl SSc donor 01 Healthy donor 01 SSc donor 03 SSc donor 02 Healthy donor 02 0 2.0 10 -2 4.0 10 -2 6.0 10 -2 8.0 10 -2 1.0 10 -1 1.2 10 -1 Area (a.u.) Healthy donors SSc donors 3.0x 2.2x 1.7x 0 20 40 60 80 100 0 2 4 6 8 10 12 Time (hours) Cell index Serum starvation TGFβ1 addition Seeding x1.84 x1.87 Reconstructed epidermis Dermal equivalent A B 2 ng/mL TGFβ1 No TGFβ1 10 ng/mL TGFβ1 Impedance index A B A B Transwell with fibroblast populated collagen gel Fibroblast Epidermal sheet Fibroblasts in collagen Keratinocytes Reconstructed epidermal sheet Histology ACTA2 pos. ctrl. aveGFP neg. ctrl. Untransduced Figure 5. Effect of adenoviral shRNAs on healthy and SSc fibroblasts contractility. Collagen gel contraction measured 4 days after transduction (A). Gel area quantified using Image J software (B). Assay in development.
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Target Discovery program in Systemic sclerosis...ACTA2 (Cy3) EEF1A1 (Cy5) Untransduced D0 D2 Serum deprivation Seed 10% FBS D3 Transduction with adenoviral shRNAS D4 Refresh D7 Fix

Sep 26, 2020

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Page 1: Target Discovery program in Systemic sclerosis...ACTA2 (Cy3) EEF1A1 (Cy5) Untransduced D0 D2 Serum deprivation Seed 10% FBS D3 Transduction with adenoviral shRNAS D4 Refresh D7 Fix

-6 -4 -2 2 4 6

-6

-4

-2

2

4

6

R e p lic a te 1

Re

pli

ca

te2

Myofibroblast to fibroblast transition assay (MFT) Figure 3. MFT assay format (A). Inhibition of ACTA2 mRNA measured by FISH in a 384w plate format (B) (ViewRNA, Affymetrix®). High content imaging with IN Cell 2200 (GE Healthcare). Quantification using in-house algorithm measuring ACTA2 expression normalized by expression of EEF1A1 (housekeeping gene).

Introduction • Systemic sclerosis (SSc) is a rare autoimmune and fibrotic disease

characterized by a severe skin thickening. It affects connective tissues of multiple organs causing structural and functional abnormalities (e.g. lung, heart, kidney). To date, no effective therapy has been identified.

• Myofibroblasts play a significant role in SSc by secreting profibrotic factors, leading to excessive synthesis and deposition of extracellular matrix. They are characterized by overexpression of alpha smooth muscle actin (αSMA).

Aim of the study • Our goal was to identify and validate novel candidate drug targets using RNAi

in phenotypic assays in SSc patient-derived fibroblasts. In collaboration with the Leiden University Medical Center, dermal fibroblasts and keratinocytes were isolated from 4 mm skin biopsies collected from 14 patients with diffuse cutaneous SSc. Patient were recruited according to ACR/EULAR 2013 criteria.

ww

w.c

river

.com

Target Discovery program in Systemic sclerosis Loubna Chadli, Britt Sotthewes, Marc Cheung, Stefan N. Andersen, Guilherme G. Dos Santos, Jamil Aarbiou, Jeroen DeGroot# and David F. Fischer. Charles River Laboratories Nederland B.V. ; Darwinweg 24, 2333 CR Leiden, the Netherlands. #Corresponding author: [email protected].

Cha

rles

Riv

er S

ympo

sium

- A

dvan

cing

Rar

e D

isea

se D

rug

Dis

cove

ry

06/2016

A

B

Figure 1. Reversion of myofibroblast phenotype by adenoviral transduction of shRNAs.

Primary screen: ~21,000 shRNAs

Rescreen: ~ 550 shRNAs

3D contractility & toxicity counter screen

On-target

RNA profiling

3D skin

Expression

Targets

MFT assay development & SSc patient recruitment in collaboration with LUMC

Target Discovery & Validation Approach

• RNA profiling comparing SSc and healthy biopsies allowed the selection of the most relevant SSc donors (data not shown).

• A high-throughput assay measuring the reversion of myofibroblasts phenotype was developed to screen Charles River’s Silence Select library (> 21,000 adenoviral shRNAs).

• Inhibition of mRNA expression of αSMA was quantified in a 384 assay format using fluorescence in situ hybridization (FISH).

• In addition, fibroblast contractility and impedance assays and a 3D skin equivalent model were developed to validate the potential targets identified during the screening phase.

Figure 2. Target discovery approach using human primary SSc dermal skin fibroblasts

ACTA2 shRNA Neg. ctrl

ACTA2 (Cy3)

Nuclei (DAPI) ACTA2 (Cy3)

EEF1A1 (Cy5)

Untransduced

D0 D2

Serum deprivation

Seed 10% FBS

D3

Transduction with adenoviral

shRNAS

D4

Refresh

D7

Fix plate & Staining

High content imaging

Primary screening of SilenceSelect® shRNA library Figure 4. Primary screening performed in one SSc donor, n=2 (~ 21,000 shRNAs, 95 plates). ACTA2 and aveGFP shRNAs used as positive and negative controls. Data represent robust Z score based on sample distribution. Example heat maps show plate distribution (A). Data distribution shown in dot plot (B), box plot (C) and correlation plot (D). Hit calling performed at < -1.5. Duplicate hits at -1.5, single hits at -2.3 and activator shRNAs (>2.0): ~550 shRNAs selected for rescreen. Statistical results shown in F.

B

D

aveGFP neg. control

ACTA2 pos. control

Cut-off -1.0

Cut-off -2.3

Cut-off -1.5

Samples

-6 .0

-4 .0

-2 .0

0 .0

2 .0

4 .0

6 .0

AC

TA

2/

EE

F1A

1

Rob

ust

Z sc

ore

AC

TA2/

EEF1

A1

Rob

ust

Z sc

ore

AC

TA2/

EEF1

A1

C

ρ: 0.6

One plate Stack of 80 plates A

-6 -4 -2

-6

-4

-2

R e p lic a te 1

Re

pli

ca

te2

-2.3 -1.5 -1.0

~ 550 selected hits

E

Screen statistics Z prime Assay

window Spearman rank Kappa value

Average 0.27 5.45 0.60 0.37

Hit performance

% false positive

% false negative

Robust Z score of duplo hits

% inhibition in duplo hits

Duplo hit rate

Average 0.09% 0.39% -2.07 71.58% 2.18%

F

Fibroblasts

Myofibroblast

Adenoviral transduction of

shRNAs

Myofibroblast

Hit: potential target gene

No hit

Migration ECM aSMA

a v e G F P _ v 1 7 AC T A2 _ v 3 S a m p le s

-6 .0

-4 .0

-2 .0

0 .0

2 .0

4 .0

6 .0

AC

TA

2/

EE

F1A

1

Conclusion SSc fibroblasts constitute a relevant model to identify novel targets involved in SSc pathogenesis. In this program, we successfully identified ~ 550 shRNAs to be used in rescreen. 2D and 3D assays are in development to validate the targets.

Acknowledgments We would like to thank Dr. J. De Vries-Bouwstra and Pr. T.W.J. Huizinga for their role in patient recruitement (Department of Rheumatology, Leiden University Medical Center). We also thank our collaborators at Pluriomics B.V. for access and guidance on the xCelligence system (Leiden, The Netherlands).

Validation assays: Gel contractility

Validation assays: Impedance assay

Figure 6. Effect of TGFβ1 on impedance of human healthy fibroblasts. Cell impedance (electrical resistance) measured in 48 well E-plates (A, electrode plates) using xCelligence® ECR system (ACEA Biosciences) (B). Assay in development.

Validation assays: 3D skin equivalent model

Figure 7. 3D full-thickness skin equivalent (SE) model. Fibroblasts seeded in rat tail collagen to reconstitute a dermal equivalent. Keratinocyte seeded on dermal equivalent to induce epidermal reconstruction (A). Pictures of SE model and histology with hematoxylin eosin staining (B). Assay in development.

Untransduced Neg. ctrl Pos. ctrl

SSc donor 01

Healthy donor 01

SSc donor 03

SSc donor 02

Healthy donor 02

0

2 .01 0 -2

4 .01 0 -2

6 .01 0 -2

8 .01 0 -2

1 .01 0 -1

1 .21 0 -1

Are

a(a

.u.)

H e a lth y d o n o rs S S c d o n o rs

3 .0 x

2 .2 x

1 .7 x

0 2 0 4 0 6 0 8 0 1 0 00

2

4

6

8

1 0

1 2

1 4

N o c o a t in g - 8 K

T im e (h o u rs )

Ce

llin

de

x

8 K - 0 T G F B - N o C o a t in g8 K - 2 T G F B - N o C o a t in g8 K - 1 0 T G F B - N o C o a t in g

Serum starvation

TGFβ1 addition

Seeding

x1.84 x1.87

Reconstructed epidermis

Dermal equivalent

A B

2 ng/mL TGFβ1 No TGFβ1

10 ng/mL TGFβ1

Impedance index

A

B

A

B Transwell with fibroblast populated

collagen gel

Fibroblast Epidermal sheet

Fibroblasts in collagen

Keratinocytes

Reconstructed epidermal sheet Histology

ACTA2 pos. ctrl. aveGFP neg. ctrl.

Untransduced

Figure 5. Effect of adenoviral shRNAs on healthy and SSc fibroblasts contractility. Collagen gel contraction measured 4 days after transduction (A). Gel area quantified using Image J software (B). Assay in development.