Marker-Free Cell Selection for Production of Biologics

In biotechnological production, so-called biologics are becoming increasingly important. They are considered to be particularly well tolerated by humans and are, therefore, being used in the production of medicines more and more. Unfortunately, developing a cell line for the production of biologics takes about twelve months and costs about 400 million euros. Particularly time-consuming is the functional identification, i.e. the recognition of whether a cell can produce the desired protein to a sufficiently high degree so that an industrial use is feasible. The isolation of so-called high-producer cells is also very time-consuming and cost-intensive.

The OptisCell process reduces the time needed to develop these kinds of cell lines from twelve to three months. Marker-free Raman spectroscopy is used for the functional identification of the cells: Suitable cells are isolated with a laser-based single cell process. This eliminates the expansion and cultivation steps for cell clones that have insufficient production rates.

Suitable cell candidates for biotechnological production can thus be selected much earlier than in the conventional process. The automated process cycle of OptisCell also makes it possible to screen for a large number of candidates and to accurately track the process for later quality control.

In a first step, the cells are examined for the production of a specific protein using Raman spectroscopy. The system uses machine learning to distinguish the spectra of producing and non-producing cells. In the second step, the producing cells are transferred to a commercially available microtiter plate with a laser pulse. Laser-induced Forward Transfer (LIFT) is the name of the innovative process, in which an absorber layer on the carrier is vaporized with a laser pulse; The small vapor bubble creates a jet in the medium (e.g. hydrogel), thus transferring the selected cell to the microtiter plate. Surface Enhanced Raman Scattering (SERS) spectroscopy is used to determine how efficiently the cell produces the desired protein. This makes it possible to quickly and automatically find high-producer cells and to select them for further use.

For the detection of protein-producing cells, Raman spectra from potential high-producer cells are first subjected to pre-processing, which frees and normalizes the spectra of interfering signals – such as cosmic spikes, white noise and other background signals. After feature dimensions are reduced with PCA (Principle Component Analysis), four independent models use a weighting method to decide which spectra contain high-producer cells. The accuracy with which cells are recognized as true high-producers is up to 92 percent.

In addition to this process, proteins are detected using special chips that enhance the Raman effect due to their surface properties (with SERS). Even the smallest amounts of a target protein can be detected.

For the OptisCell process, the three partners have devised a combined system concept that enables them to analyze and transfer cells. The system provides UV and MIR beam sources for the LIFT process and features a three-objective and five-axis system for flexible handling. Thus, transfer and receiver carriers can be moved independently in the x and y directions with a repeat accuracy down to 100 nm and at speeds of up to 3 m/s relative to each other. The lenses are accessible via a third axis (z-axis). OptisCell will make it possible to transfer cells more quickly and without contact.

In several studies, CHO cells were used for Raman analysis and transfer. With both UV and MIR laser radiation, the LIFT process was successful here in up to 85 percent of the transfers. Transferred CHO cells survive and proliferate for up to seven days. The survival rate of the transferred cells is about 60 percent after the seven days. The plant has been designed to operate on a workbench, allowing treatment of the cells in a sterile and air-conditioned environment. This significantly increases the survival rate of the cells and thus the efficiency of the process.

Dr. Nadine Nottrodt (Fraunhofer ILT)
nadine.nottrodt@ilt.fraunhofer.de

Dr. Anke Burger-Kentischer (Fraunhofer IGB)
anke.burger-kentischer@igb.fraunhofer.de

Dr. Andreas Pippow (Fraunhofer FIT)
andreas.pippow@fit.fraunhofer.de