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High Content Analysis of phenotypic assays in cancer drug discovery 4 INSTRUMENTS/DATA ANALYSIS 2 ALGORITHMS DEVELOPED IN ONCOLOGY 1 INTRODUCTION Charles River Laboratories (CRL) has developed many disease-relevant cellular models to screen small molecules and genetic modifiers for target and phenotypic based drug discovery. Our expertise and portfolio in bespoke cellular model development covers several therapeutic areas including oncology and a wide variety of target classes. Complex cellular models derived from primary cells, patient derived embryonic stem cells and induced pluripotent stem cells have been adapted for phenotypic screening. Models have been further developed to produce physiologically relevant multicellular structures, such as 3D spheroids and co-cultures. Combining complex biological systems with multiparametric high content analysis provides detailed single cell quantification of cellular and subcellular biology. Such validated High Content (HC) assays can be applied to both target and phenotypic based discovery platforms to support preclinical drug discovery and improve translation of targets and compounds to the clinic. 3 EXAMPLES OF HIGH-CONTENT BASED ONCOLOGY ASSAYS IN Cell 2200 IN Cell 6000 IncuCyte S3 Formats Assays developed Cell viability and synergistic cytotoxic studies 2D: Clonogenic assay, cell viability assay (Hoeschst/PI), immunotherapy cytotoxic co-culture assays Anchorage independence and colony forming assays (in 3D) 3D: Multiple cell lines and co-culture Apoptosis, cell death, DNA damage response, cellular stress and degeneration Early and late stage apoptosis markers, mitochondrial function, nuclear condensation, DNA damage assay and downstream signaling assays, foci, stress granules, protein inclusions Cell cycle Cell cycle progression and S phase Cell motility and migration Scratch wound assay and Boyden chamber motility assay Acquisition of invasive properties Epithelial to mesenchymal transition (EMT) assay Post translational modification Multiple assays for signalling events (phosphorylation and acetylation) Marker expression Multiple assays to assess transduction efficiency, epigenetic target and biomarker expression Receptor internalization and degradation Nuclear receptor degradation, receptor internalisation, ligand binding Translocation of transcription factors Multiple cytosolic/nuclear translocation assays IMMUNO-ONCOLOGY 3D SPHEROID T CELL CYTOTOXIC ASSAY Figure 2. 3D Spheroid T cell cytotoxicity Assay. (A) A549 cells were transfected with IncuCyte® Nuclight Green lentivirus reagent to generate a stable cell line. Cells were seeded in ultra-low attachment plates to enable spheroid formation, and treated after 2 days of culture with activated T cells in the absence and presence of test compounds or therapeutic antibodies. This method uses the IncuCyte® live-cell analysis system to generate data in the form of presentation-ready and time-lapse graphs and movies. (B) Example of data generated with IncuCyte® over a period of 5 days after treatment. (C) Examples of live cell imaging acquired with IncuCyte®. No stimulation control Staurosporine 10 uM Stimulation + indoximod 100 uM Stimulation + IgG4 control 10 ug/mL 10ng/mL Anti-CD3 + 10 ng/mL IL-2 Stimulation + pembrolizumab 10 ug/mL A B C Rare diseases Respiratory Inflammation Oncology Neurodegeneration Our extensive experience in the development of complex cellular assays: Execution of high-throughput phenotypic screenings involving multi-parametric readouts, design of quantitative image segmentation algorithms, and experience in a wide variety of disease models (incl. co-cultures, 3D and organoid systems) allows us to approach with confidence a diversity of preclinical drug discovery programs. Multi-parametric feature extraction is performed by using analytical software tools such as IN Cell Developer Toolbox, IN Cell Analyzer Worstation and Cell Profiler TM . Charles River’s High Content Team Figure 3. Nuclear translocation assay. NF-κB signaling in inflammation and cancer. In the control situation NF-kB is detected in the cytoplasm and not in the nucleus. Once cells are treated with IL-1α, nuclear translocation of NF-kB is evident. Using HC analysis the concentration- and time-dependent effects of IL-1α in the nuclear translocation of NFκB could be studied in HeLa cervical cancer cells by ratiometric quantification of NF- κB expression in the nucleus versus the cytoplasm No Stimulation Stimulation Transport into the nucleus NFκB nuclear translocation induced by IL-1α in HeLa control 2 ng/ml IL-1α, 30 min 37°C -100 0 100 200 300 400 500 600 700 800 0 20 40 60 80 time (min) Il-1α stimulation Exp.1 Exp.2 NUCLEAR TRANSLOCATION ASSAY Hajo Schiewe 1 , João Carvalho 2 , Fleur Stevenhagen 2 , Servane Lachize 2 , Rhea van de Bospoort 2 , Melek Atalar 2 , Kimberly Lo 2 , Lianne van Beek 2 , Marta da Silva 2 , Niki van der Steenstraten 2 , Viola Tabel 2 , Jeroen Esselink 2 , Jeroen Overman 2 , Ian Gowers 3 , Roger Clark 3 , Shilina Roman 4 and Shushant Jain 2 1 Charles River, Wilmington, Massachusetts, USA, 2 Charles River Leiden NL, 3 Saffron Walden UK and 4 Harlow UK Contact: [email protected] Figure 1. Scratch migration assay. (A) Fibroblasts were transduced with shRNA encoding adenovirus 1 day post seeding, after 4 days of treatment, the cells were triggered with PDGF-BB. A scratch was created 1 day post trigger addition. (B) Graphical representation of the migration of fibroblasts into the open area created by the scratch. (C) Trigger induces full wound closure after 18h. (D) Example of images depicting migration into open area and inhibition of cell migration. This assay uses a high content algorithm developed to segment and quantify the open area to identify migration inhibition by target gene knockdown. SCRATCH MIGRATION ASSAY A scratch wound healing D0 D1 Transduce with shRNA Seed cells Screen: Image at T>8hr D6 Scratch & trigger Assay development: Image at t=0hr D2 Refresh D5 Trigger Positive Control shRNA Negative Control (non targeting shRNA) T = 0hr 0 4 8 12 16 18 0 2 ×10 5 4 ×10 5 6 ×10 5 8 ×10 5 control Trigger time (h) Max open area ( µ m 2 ) D B C -100 0 100 200 300 400 500 600 700 800 900 1000 0.0001 0.01 1 Nuc-CytoInten Difference ng/ml Il-1α Exp.1 Exp.2 Nuc-CytoInten Difference

High Content Analysis of Phenotypic Assays in …...preclinical drug discovery and improve translation of targets and compounds to the clinic. 3 EXAMPLES OF HIGH-CONTENT BASED ONCOLOGY

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Page 1: High Content Analysis of Phenotypic Assays in …...preclinical drug discovery and improve translation of targets and compounds to the clinic. 3 EXAMPLES OF HIGH-CONTENT BASED ONCOLOGY

High Content Analysis of phenotypic assays in cancer drug discovery

4 INSTRUMENTS/DATA ANALYSIS2 ALGORITHMS DEVELOPED IN ONCOLOGY1 INTRODUCTIONCharles River Laboratories (CRL) has developed many disease-relevant cellular models to screen small molecules and geneticmodifiers for target and phenotypic based drug discovery. Our expertise and portfolio in bespoke cellular model developmentcovers several therapeutic areas including oncology and a wide variety of target classes.Complex cellular models derived from primary cells, patient derived embryonic stem cells and induced pluripotent stem cellshave been adapted for phenotypic screening. Models have been further developed to produce physiologically relevantmulticellular structures, such as 3D spheroids and co-cultures. Combining complex biological systems with multiparametric highcontent analysis provides detailed single cell quantification of cellular and subcellular biology.Such validated High Content (HC) assays can be applied to both target and phenotypic based discovery platforms to supportpreclinical drug discovery and improve translation of targets and compounds to the clinic.

3 EXAMPLES OF HIGH-CONTENT BASED ONCOLOGY ASSAYS

IN Cell 2200 IN Cell 6000 IncuCyte S3

Formats Assays developed

Cell viability and synergistic cytotoxic studies 2D: Clonogenic assay, cell viability assay (Hoeschst/PI), immunotherapy cytotoxic co-culture assays

Anchorage independence and colony forming assays (in 3D) 3D: Multiple cell lines and co-culture

Apoptosis, cell death, DNA damage response, cellular stress and degeneration

Early and late stage apoptosis markers, mitochondrial function, nuclear condensation, DNA damage assay and downstream signaling assays, foci, stress granules, protein inclusions

Cell cycle Cell cycle progression and S phaseCell motility and migration Scratch wound assay and Boyden chamber motility assay

Acquisition of invasive properties Epithelial to mesenchymal transition (EMT) assay

Post translational modification Multiple assays for signalling events (phosphorylation and acetylation)

Marker expression Multiple assays to assess transduction efficiency, epigenetic target and biomarker expression

Receptor internalization and degradation Nuclear receptor degradation, receptor internalisation, ligand binding

Translocation of transcription factors Multiple cytosolic/nuclear translocation assays

IMMUNO-ONCOLOGY 3D SPHEROID T CELL CYTOTOXIC ASSAY

Figure 2. 3D Spheroid T cell cytotoxicity Assay. (A) A549 cells were transfected with IncuCyte® Nuclight Green lentivirus reagent to generate a stable cell line. Cells wereseeded in ultra-low attachment plates to enable spheroid formation, and treated after 2 days of culture with activated T cells in the absence and presence of test compounds ortherapeutic antibodies. This method uses the IncuCyte® live-cell analysis system to generate data in the form of presentation-ready and time-lapse graphs and movies. (B)Example of data generated with IncuCyte® over a period of 5 days after treatment. (C) Examples of live cell imaging acquired with IncuCyte®.

No stimulation control

Staurosporine 10 uM

Stimulation + indoximod 100 uM

Stimulation + IgG4 control 10 ug/mL

10ng/mL Anti-CD3 + 10 ng/mL IL-2Stimulation + pembrolizumab 10 ug/mLA B

C

Rare diseasesRespiratory

Inflammation

Oncology

Neurodegeneration Our extensive experience in the development of complex cellular assays:Execution of high-throughput phenotypic screenings involving multi-parametric readouts, design of quantitative image segmentationalgorithms, and experience in a wide variety of disease models (incl. co-cultures, 3D and organoid systems) allows us to approach withconfidence a diversity of preclinical drug discovery programs.Multi-parametric feature extraction is performed by using analytical software tools such as IN Cell Developer Toolbox, IN Cell AnalyzerWorstation and Cell ProfilerTM.

Charles River’sHigh Content Team

Figure 3. Nuclear translocation assay. NF-κB signaling in inflammation and cancer. In the control situation NF-kB isdetected in the cytoplasm and not in the nucleus. Once cells are treated with IL-1α, nuclear translocation of NF-kB isevident. Using HC analysis the concentration- and time-dependent effects of IL-1α in the nuclear translocation ofNFκB could be studied in HeLa cervical cancer cells by ratiometric quantification of NF- κB expression in the nucleusversus the cytoplasm

No Stimulation Stimulation

Transport into the nucleus

NFκB nuclear translocation induced by IL-1α in HeLa

control 2 ng/ml IL-1α, 30 min 37°C-100

0

100

200

300

400

500

600

700

800

0 20 40 60 80

time (min) Il-1α stimulation

Nuc-

Cyto

Inte

n Di

ffere

nce Exp.1

Exp.2

NUCLEAR TRANSLOCATION ASSAY

Hajo Schiewe1, João Carvalho2, Fleur Stevenhagen2, Servane Lachize2, Rhea van de Bospoort2, Melek Atalar2, Kimberly Lo2, Lianne van Beek2, Marta da Silva2, Niki van der Steenstraten2, Viola Tabel2, Jeroen Esselink2, Jeroen Overman2, Ian Gowers3, Roger Clark3, Shilina Roman4 and Shushant Jain2

1Charles River, Wilmington, Massachusetts, USA, 2Charles River Leiden NL, 3Saffron Walden UK and 4Harlow UKContact: [email protected]

Figure 1. Scratch migration assay. (A) Fibroblasts were transduced with shRNA encoding adenovirus 1 day post seeding,after 4 days of treatment, the cells were triggered with PDGF-BB. A scratch was created 1 day post trigger addition. (B)Graphical representation of the migration of fibroblasts into the open area created by the scratch. (C) Trigger induces fullwound closure after 18h. (D) Example of images depicting migration into open area and inhibition of cell migration. This assayuses a high content algorithm developed to segment and quantify the open area to identify migration inhibition by target geneknockdown.

SCRATCH MIGRATION ASSAYA

scratch

wound healing

D0 D1

Transducewith shRNA

Seed cells

Screen:Image at

T>8hr

D6

Scratch& trigger

Assay development:Image at t=0hr

D2

Refresh

D5

Trigger

PositiveControl shRNA

Negative Control (non targeting shRNA)

T = 0hr

0 4 8 1 2 1 6 1 80

2 ×1 0 5

4 ×1 0 5

6 ×1 0 5

8 ×1 0 5

c o n tro l

T r ig g e r

t im e (h )

Ma

x o

pe

n a

rea

m2

)

D

B C-100

0100200300400500600700800900

1000

0.0001 0.01 1

Nuc-

Cyto

Inte

n Di

ffere

nce

ng/ml Il-1α

Exp.1

Exp.2

Nuc-

Cyto

Inte

n Di

ffere

nce