FCET
Frankfurt Competence center for Emerging Therapeutics
Biomedical basic research has a rich tradition in Frankfurt. With FCET, we are bringing together cutting-edge technology platforms to consolidate advanced biomedical research, facilitate interdisciplinary collaboration, and develop new therapies.
Located at the Riedberg and Niederrad campi, FCET is a hub for various specialized units focusing on medicinal chemistry, RNA, protein chemistry, biochemistry, biophysics, cellular and phenotypic analysis, proteomics, genomics, and computational biomedicine.
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Cellular and Phenotypic Screening
Head scientist: Alexandra Stolz
Automated liquid handling
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Multidrop Combi Reagent Dispenser (8-chanel-dispenser)
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Echo 550 automated liquid handler
FACS analysis & cell sorting
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Benchtop SH800SFP Cell Sorter
Phenotypic live-cell screening and High-Content Screening
- IncuCyte S3
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Yokogawa Quantitative Confocal Image Cytometer CQ1
3D Tissue Models
Head scientist: Maike Windbergs
Cell Culture
- Primary human cells and human cell lines
- Co-culture systems
- Immunocompetent and wound healing models
- Infection and Inflammation models
- Microfluidic-based models
Instrumentation
- Imaging and molecular analyses
- Nanoindentation
- Aerosol deposition
- Impedance spectroscopy
Protein Production
Head scientists: Mohit Misra, Sebastian Mathea
Expression systems
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Bacterial: E. coli
- Eukaryotic: insect cells (SF9 cells), mammalian cells (Expi293 cells)
Protein purification
Optional
- Functional assays (activity, thermal stability)
- Crystallisation
Genomics Screening
Head scientists: Manuel Kaulich and Koraljka Husnjak
Gene perturbation is a powerful tool for dissecting genotype-to-phenotype relationships. Genome-wide and tailored CRISPR-Cas9 gRNAs and libraries have been used to identify essential and pathway-specific genes. This platform produces project-tailored reagents and libraries using 3Cs technology.
The quantitative phenotypic profiling of genes/sequences allows for the identification of i) single and synergistic gene essentiality and ii) novel pathways and complex components.
Available libraries:
Name | Species | Genes/gRNAs |
Kinome | mouse and human | 713 / 3140 |
FDA drug targets | human | 690 / 3036 |
Autophagy | human | 199 / 876 |
CRISPR-Cas9 gRNA library production
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Assembly of target gene list
- Design of 2-6 gRNAs per gene
- Cloning using 3Cs technology into lenti-, retro- or AVV-backbone
- Delivery as DNA, viral particles or transduced cells
Available genetic screen formats:
- Drop-out
- Enrichment
- Drug synergizing or sensitizing
- Biochemical reporter/FACS enrichment/depletion
Quantitative Proteomics
Head scientist: Christian Münch
Proteomics is a powerful method for evaluating drug-protein interactions. It is based on evaluating the quantity of thousands of cellular proteins that are produced upon treatment with chemicals.
We can process cell pellets or lysates of cells treated with varying chemicals or concentrations of chemicals.
Sample processing:
- From protein extraction to peptide quantification
- TMT-labelling and clean-ups
- Fractionation
- LC-MS3 analysis on mass spectrometer
- Raw file processing for quality control and primary data output
Instrumentation:
- ThermoFisher QExactive HF with EASY 1200
- ThermoFisher Fusion Lumos with EASY 1200
- ThermoFisher Ascend with Vanquish Neo
Computational Biomedicine
Head scientist: Ram Bhaskara
Our approaches:
- Integrative modeling
- Biomolecular simulations
- Data integration
DARPin / Sybody Selection
Head scientists: Volker Dötsch, Katharina Holzhüter
DARPins (Designed Ankyrin Repeat Proteins) are small (14-18 kDa), very stable proteins. Certain positions can be randomized to create by a combination of in vitro selection strategies (ribosome display and phage display) of high-affinity binders against folded domains/proteins. Due to the absence of disulfide bridges, DARPins can be used for intracellular applications, for example, as highly selective and affine binders or fused to E3 ligases as bio-PROTACS. In addition to DARPin libraries, we have Sybody (nanobody) libraries.
We can run selection experiments for DARPin and Sybodies to create high-affinity binders.
Generation of DARPins/Sybodies:
- Run ribosome display with DARPin libraries with different numbers of helical modules (1, 2 or 3) followed by two rounds of phage display
- Run ribosome display with Sybody libraries ( with short, medium or long loops) followed by two rounds of phage display