Cellular Screening in 2D and 3D. Identification of cancer specific modulators. ELRIG.de, March 2013
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1 Cellular Screening in 2D and 3D Identification of cancer specific modulators ELRIG.de, March 2013
2 Introduction International FP7 program Aim is the identification of novel compounds with anti-cancer properties from marine fungi Work packages include: isolation, fermentation and screening of marine fungi extracts and compounds
3 Marine natural products Source Extracts Organisms No. hits Hit Rate (%) Mediterranean sponge fungi Chilean macro-algal fungi Indonesian coral fungi Totals Hypha Discoveries Stimulation Fermentation technology gave rise to 1210 crude extracts from 600 fungal strains Bioactivity guided fractionation was used to identify individual active fractions. 78 pure (> 80% by weight) active natural product compounds were then obtained following strain re-fermentation, induction, isolation and purification. Compound structures were elucidated using NMR
4 Assay principle Recording of cytotoxicity profiles of the fungal extracts and compounds Obtain GI50, TGI and LC50 in the whole NCI 60 panel Concentration at: 50% cell growth = GI50 0% cell growth = TGI -50% cell growth = LC50 Tissue origin Leukemia 6 Non-Small Cell Lung 9 Colon 7 CNS 6 Melanoma 9 Ovarian 7 Renal 8 Prostate 2 Breast 6 NCI 60 panel No. of cell lines
5 Measurement procedure Day 0 Cell seeding and incubation for 24h Day 1 Compound addition Detection of viability at day 0, is set to 0% growth Day 2 Incubation for 48h in the presence of compound Day 3 Detection of viability Cytostatic and cytotoxic compounds can be identified In accordance to NIH criteria
6 Assay development RPMI1640 supplemented with 10% FCS and 2mM L-Glutamine doubling time between 18 and 80h NCI assay protocol includes 96 well plates, 200µl assay volume and a staining protocol current protocol includes 384 well plates, 25µl assay volume and ATP determination using CellTiter-Glo (Promega)
7 Assay development Assay development includes: cell titration, DMSO tolerance and standard compounds (Cisplatin, Paclitaxel, 6-Mercaptopurine, Staurosporine) Luciferase counter assay has to be performed for all tested compounds Cisplatin inhibits luciferase at a concentration of 100µM
8 Physiological relevance of NCI60 panel kinase inhibitors RH004 selective kinase inhibitor against VEGFR2 RPMI-8226 cells do express VEGFR2 RH007 selective kinase inhibitor against V600E BRAF-mutation only the M14 cell lines has this mutation
9 Physiological relevance of NCI60 panel COMPARE algorithm Mean values and deviation from the means has to be calculated All data have to be transformed to be uploaded to the NCI COMPARE database Output is a likelihood analysis of similar compounds and involved pathways Data is shared within the consortia by an encrypted web portal NCI mean graph analysis Data GI50, TGI, LC50 COMPARE online tool NCI Mean graph Output Correlation of test compounds to database MoA studies Target directed studies
10 Physiological relevance of NCI60 panel COMPARE algorithm Rank Compound Common cell lines Description of mode of action 1 glycoxalic acid 30 natural exfoliant 2 asaley 25 alkylates and crosslinks DNA 3 methyl-ccnu 29 alkylates and crosslinks DNA 4 AZQ 28 alkylates and crosslinks DNA 5 cisplatin 30 crosslinks DNA Cisplatin data from 30 cell lines were used to perform a COMPARE analysis Cisplatin was found within the top 5 18 of the top25 alkylate or crosslink DNA
11 Automatisation of the cell culture processes SF-593 A549-ATCC M
12 The bead the core of the technology Brand name GEM Cytodex 1 Cytodex 3 Specification Dextran beads with iron particles for magnetic separation Dextran beads with positivecharged DEAE groups throughout matrix Dextran beads coated with denatured porcine-skin collagen bound to surface. scheme of a bead Cell line Tissue type Bead type M14 Melanoma Cytodex Renal GEM or Cytodex 1 A549/ATCC Non-Small Cell Lung Cytodex 1 SF-539 CNS Cytodex 1
13 Optimisation cell number cell seeding 1x10 6 cells in 25 ml media 6h addition of 25 ml media 24h 48h 72h Doubling times between 18 to 80 hours Bead coating is also critical for growth
14 Optimisation counting 1 vol. 10% dextranase 10 min wash; add trypsin 10 min resuspend Measurement by Millipore Scepter Direct addition of trypsin to the beads not possible Dextranase has to be removed before trypsin addition
15 Optimisation known drugs 4 known compounds used for comparison of 2D and 3D Reference compounds for HTS screening Cisplatin M14 A549- ATCC GI50 TGI LC50 2D D D D Paclitacel M14 A549- ATCC 2D D NA D NA 3D NA Fold difference > 2.5 Data from 3D experiment using A549-ATCC
16 Screening in 2D and 3D 241 compounds of marine origin were screened in 2D and 3D R 2 = µm compound concentration, single point Known drug: 5 mm cisplatin DMSO only emtpy well compound known drug
17 Dose-Response curves 56 dose response curves where recorded No significant differences are observed 3D data confirm 2D experiments 3D GI50 2D GI50 3D TGI 2D TGI 3D LC50 2D LC50 compound compound compound compound compound compound compound compound Difference in percent > 10 compound compound compound compound All data in µm
18 Automatisation of the measurement processes
19 Confluence analysis using Cell Metric 3h 24h 48h 70h 100 A549-ATCC cell line shown analysis done by Cell Metric from Solentim non-invasive measurement enables the recurrent analysis of a single plate no additional day 0 plate necessary Well confluence (%) Time (hours)
20 Confluence and viability analysis brightfield whole cell analysis live/dead analysis composite image Two measurements necessary for live/dead analysis Fast confluence analysis, image stacks to identify dead cells (diffraction index and roundness) 5 min per plate
21 Analysis of standard compounds 200,00% 150,00% 100,00% 50,00% Cell Metrics ViaConfluence Cisplatin SK-Mel-5 Cell Metrics Confluence CisplatinSK-Mel-5 Cisplatin analysis 3 2 0,00% -50,00% -100,00% -150,00% SK-MEL5 cell line shown Viabibilty analysis performs superion over confluence analysis good comparison in the case Cisplatin discrepansies in the case of Paclitaxel/Taxol 11 Cell Metrics ViaConfluence Paclitaxel SK-Mel Cell Metrics Confluence Paclitaxel SK-Mel-5 Paclitaxel analysis ,00% 150,00% 100,00% 50,00% 0,00% -50,00% -100,00%
22 Partners This work was supported by the EU within the FP7 framework Boris Pinchuk Janina Ralff
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