DEINOVE’s antimicrobial screening platform systematically explores rare bacteria to be able to produce new antibiotics and antifungals. It has been totally automated to ensure testing can be performed on a greater number of extracts.
A high-throughput microbial activity detection platform
The platform is equipped with an automated sampler which then deposits separated bacteria extracts using a thin-layer chromatography method.
TLC is used to migrate the various bacterial extract compounds to silica or aluminium plates and, as such, to separate them so as to identify the active molecule.
The plates are then placed in contact with pathogenic bacteria and a cell viability marker in agar. The antibacterial activity can be read directly through lighter halos which materialize the inhibitory activity on the pathogen concerned by a compound which will then be characterized by the analysis platform.
Each extract is routinely tested on different micro-organisms (Gram negative, Gram positive, fungi).
High-throughput characterization of the minimum inhibitory concentration of each extract for different pathogens
Each bacterial extract identified as presenting antimicrobial activity is then tested to define its minimum inhibitory concentration (MIC). This corresponds to the smallest antibiotic concentration required to inhibit, in vitro, pathogen development. All the extracts are tested on several different pathogens comprised in the WHO-defined list of 12 priority pathogens.
A robot prepares various concentrations of the extract and places them in contact with the tested pathogen. After a 16-hour incubation, automated densitometry reading is used to define the minimum concentration required to block the development of the pathogen bacteria.
Combining these two approaches ensures opportunities for discovering molecules of interest are optimized. This high-throughput allows teams to test between 120 and 150 extracts per week.
Proprietary methods supported by a TECAN automated screening robot
Automated multi-factorial screening: high-throughput and high-content