bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.05.06.723052

EFFICIENT EXPANSION OF NK-92 CELL LINE USING A NOVEL LOW-SHEAR STRESS BIOREACTOR

Abstract

BackgroundThe use of autologous or allogeneic cell therapies has now entered to the clinical practice in several fields of medicine, especially in oncology and hematology. From this regard, 2D-cell manufacturing is complex and costly and bioreactors have attracted major interest for efficient and cost-effective mass production of cells. Bioreactors have several advantages such as homogeneous repartition of nutrients and gas, control of all culture parameters and increased yield. However, the important shear stress generated by those bioreactors is an important disadvantage as it can affect cell survival or cell quality. This important shear stress is the result of the mixing method using either blades (used in stirred-tanked bioreactors) or gas bubbles (used in airlift bioreactors). Another downside of the use of bioreactors is the difficulty to scale-up. As the volume increases, the shear stress generated by blades radically increases leading to cell death and a decrease of cell quality. DescriptionIn this study, we describe a bioreactor developed using a different mixing method effectively reducing the shear stress and facilitating scale-up. This bladeless method uses an inclination of the bioreactor as well as rotation to mix fluids in a container. Here we described different steps that led to the adaptation of this bioreactor, initially developed for fragile microalgae culture, for mammalian cell culture amplification. The bioreactor was tested to amplify a natural killer (NK) cell line NK92 which is an IL-2 dependent cell line used in clinical trials for cancer therapy. We have tested the influence of 1-The number of cells seeded; 2-The influence of the rotation speed on cell growth and viability; 3-The influence of the bioreactor angle on the above parameters; 4-The duration of the culture. ResultsCells were initially seeded at 2.5.105 / ml in a volume of 380 ml. According to the rotation speed of 15, 30, 45 and 60 rpm, we have observed an increase of cell numbers at day 3 (3-fold), day 5 (7-fold) and day 7 (10-fold) compared to seeding, the best expansion being obtained at day 7 with a rotation speed of 45 rpm. The optimal angle of rotation was found to be 3 degree, with an optimal amplification at day 7 versus day 3 (p < 0.01). The viability was also found to be optimal in the latter condition. ConclusionsThese preliminary results demonstrate that NK92 cells could be amplified using this bioreactor. In the best tested condition, neither cell viability nor cell growth was impacted. These results strongly suggest the potential use of this device in future clinically applicable conditions.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Bergmann, M., Belliard, N., Meunier, P., Roumezi, B., Detournay, O., Turhan, A. G., Bennaceur Griscelli, A.. 2026-05-09. EFFICIENT EXPANSION OF NK-92 CELL LINE USING A NOVEL LOW-SHEAR STRESS BIOREACTOR. https://doi.org/10.64898/2026.05.06.723052

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Dynamic Compression Platform for Live Imaging of Scaffold-Transmitted Cellular Mechanoresponses

Mechanical characterization of biomaterial scaffolds is essential to evaluate their capacity to meet the functional demands of target tissues in tissue engineering and regenerative medicine applications. Scaffolds designed to interface with living tissues must support the transmission of mechanical cues to resident cells and stimulate mechanosignaling pathways that are essential to their function. In joints, bone and cartilage cells act as primary mechanosensors, converting mechanical stimuli into biochemical signals that regulate tissue homeostasis and remodelling. Therefore, evaluating cellular mechanoresponses to scaffold-transmitted compression in vitro can inform the development of functional tissue-engineered constructs. For example, poly({epsilon}-caprolactone) (PCL) scaffolds are highly relevant for bone and cartilage tissue engineering due to their biocompatibility, stable mechanical properties and slow degradation. Here, we applied a custom-built device to study compression-induced mechanosignaling in MC3T3-E1 pre-osteoblast cells. The device is composed of a polydimethylsiloxane (PDMS) pillar, a force-sensing load cell, and a piezoelectric linear track. A protocol is described in which MC3T3-E1 cells are repeatedly compressed, while in parallel live tracking of force measurements and live imaging of intracellular calcium dynamics in MC3T3-E1 cells are recorded. PCL scaffolds fabricated by melt electrowriting (MEW) were subsequently integrated into the platform. Scaffold-transmitted compression triggered dynamic increases in cytosolic calcium; in MC3T3-E1 cells located directly under the PCL microfibers, but also in cells located in the interfiber spaces. This device and workflow facilitate in vitro investigations of real-time cellular mechanoresponses to dynamic compression applied with biomaterial scaffolds, and provides a testing platform for evaluating the mechanotransductive properties of scaffolds intended for tissue engineering applications.

bioengineering↗

Ultrasound Tracking Reveals Progressive Regional Strain Differences in Human Achilles Tendons During Fatigue Loading

Ultrasound is commonly used to assess structural changes in symptomatic Achilles tendons, but quantitative biomechanical metrics for progressive tendon deterioration remain limited. The goal of this study was to develop and validate an automated ultrasound tracking algorithm for regional tendon deformation and evaluate strain progression in survived and ruptured tendons during fatigue loading. We hypothesized that maximum strain, average strain, and strain heterogeneity would exhibit different trajectories between groups. Ten cadaveric Achilles tendons underwent cyclic loading with stress tests every 500 cycles until rupture or 150,000 cycles. Ultrasound images acquired during stress tests were analyzed using an automated tracking algorithm to generate spatially resolved regional strain fields. Ultrasound-derived bulk strain was highly correlated with actuator-derived strain in survived (R^2 = 0.968 +/- 0.017) and ruptured tendons (R^2 = 0.972 +/- 0.014). Maximum and average longitudinal strains progressively diverged between groups across fatigue life (Group x FatigueLife: p = 0.003 and p < 0.0001, respectively). During the first 10,000 cycles, average strain decreased in survived tendons ({beta} = -0.0268%, p = 0.0215) but not ruptured tendons ({beta} = 0.0147%, p = 0.1197), with a significant Group x Cycle interaction (p = 0.0061). This study demonstrates that the algorithm quantified Achilles tendon deformation with high fidelity and enabled spatially resolved strain assessment throughout fatigue loading. Maximum and average strain followed different trajectories between groups, whereas strain heterogeneity did not. Early differences in tendon biomechanics suggest that regional strain behavior may change before pronounced differences in absolute magnitude develop.

bioengineering↗

Brain organoid computing for robotic decision-making

Biomimicry has inspired the evolution of robotics toward greater autonomy, adaptability, and symbiosis with humans and dynamic environments. However, current robotic systems still face major challenges in recapitulating the high-efficiency decision-making capabilities of the human brain under complex and dynamic conditions. Here, we present Brainobot, a biohybrid robotic system that establishes a brain organoid controller as a high-level robotic decision-making layer for closed-loop embodiment. By leveraging brain organoid reservoir computing, Brainobot interacts with dynamic environments by receiving and processing sensory inputs and generating motor actions. As a proof-of-concept demonstration, Brainobot is implemented in a humanoid robotic system to perform real-world tasks, including object grasping and laser chasing. Interestingly, Brainobot exhibits unique features, including cross-task adaptivity, high computing efficiency, and low energy consumption. Thus, our approach may provide insights for advancing robotic embodiment and understanding biological decision-making.

bioengineering↗