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Innovation, the key to performance
Our solutions are the result of over a decade of expertise in functional genomics. The process we developed has been optimized to produce powerful, reliable results at close-to-physiological conditions.CELLULAR MODEL
Extensive expertise in cellular biology and culture optimization in a wide range of cellular models.3D High-Content Screening
Integrated and automated process for drug profiling on 3D tumor models. The traditional method for studying cancer in vitro is to grow cancer cells in 2-D monolayers on plastic. Yet, tumor microenvironment is very complex and heterogeneous and the 2-D artificial conditions do not sufficiently mimic how the physiological tumor will react to a drug. Spheroids, self-assembled aggregates of cancer cells, are one of the most promising models. This model naturally mimics tumors, is simple to form and allows a reproducibility of the measured phenotypes (cell proliferation, cell viability...). The major challenges for the use of spheroids in high-throughput functional screening tend to have a visualization system specifically committed to 3-D structures and a robust and reliable data analysis. Here we present an innovative and powerful functional screening process dedicated to 3-D tumor models. RESULTS
3 types of breast organoids were treated with Everolimus (2 concentrations 100 µM in red 10 µM in green).
Organoids were labeled with 2µM CellEvent Caspase 3/7 Green Detection (apoptosis).
Images were acquired after 48h of everolimus treatment.
- 5 dilutions in triplicates.
- Treatment times upon request.
- 5 readouts included: area, apoptosis (Caspase 3/7 labeling), ATP assay (WST-1 based assay),
- cytotoxicity, growth inhibition.
- 4 packs: 6 – 24 – 48 and… more compounds or with your specific conditions.
ADVANTAGES
- Several hundreds of 3D tumor models per well.
- Automatic analysis for different morphologies of 3D tumor models (grape-like, mass, round…)
- New robust statistical data processing dedicated to physiological models.
BENEFITS
- Validate compound efficiency with more physiological tumor models.
- Use an integrated process from 3D cultures to data processing.
- Improve the reliability with our automated platform.
RNAI-based screening
List of provided siRNA libraries All our libraires are tested with a 80% efficiency rate and are non-pooled siRNAs.- 1. Genome-wide (human genes)
- 2. Cell death and stress response library (human genes)
- 3. Cancer library
- 4. Kinase library ((human genes)
- 5. LNA library: genome-wide (micro-ARN)
- 6. Phosphatase library
- 7. Nuclear Receptors Library
- 8. Customized library

Imaging system
- High-content analysis.
- Cells segmentation.
- Integrated analysis, visualisation software.
- Fluorescent and brightfield measurement.
Data analysis
Phi-score - a new cell-by-cell score Innovative statistical data processing dedicated to High-content Screening using physiological cellular models. Cell function is influenced by parameters like genetic material and micro-environmental stimuli. Our aim is to conduct screening on cells (primary cells from healthy or tumor tissue) with a genetic background as close to actual physiological conditions as possible. These physiological cellular models present technical contraints:- Low transfection rates.
- Low number of cells or organoids.
- High-variability.
- The number of cells or organoids per well.
- The number of wells per treatment.
- The response variability between wells.

Genel's process is particularly powerful
in the challenging culture conditions of physiological models
in the challenging culture conditions of physiological models