perfusion bioreactors
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Author(s):  
Diogo Rodrigues ◽  
Mohamed R. Abdalmoaty ◽  
Elling W. Jacobsen ◽  
Véronique Chotteau ◽  
Høakan Hjalmarsson

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Pritam Sinharoy ◽  
Aaron H. Aziz ◽  
Natalia I. Majewska ◽  
Sanjeev Ahuja ◽  
Michael W. Handlogten

Abstract One major challenge observed for the expression of therapeutic bispecific antibodies (BisAbs) is high product aggregates. Aggregates increase the risk of immune responses in patients and therefore must be removed at the expense of purification yields. BisAbs contain engineered disulfide bonds, which have been demonstrated to form product aggregates, if mispaired. However, the underlying intracellular mechanisms leading to product aggregate formation remain unknown. We demonstrate that impaired glutathione regulation underlies BisAb aggregation formation in a CHO cell process. Aggregate formation was evaluated for the same clonal CHO cell line producing a BisAb using fed-batch and perfusion processes. The perfusion process produced significantly lower BisAb aggregates compared to the fed-batch process. Perfusion bioreactors attenuated mitochondrial dysfunction and ER stress resulting in a favorable intracellular redox environment as indicated by improved reduced to oxidized glutathione ratio. Conversely, mitochondrial dysfunction-induced glutathione oxidation and ER stress disrupted the intracellular redox homeostasis, leading to product aggregation in the fed-batch process. Combined, our results demonstrate that mitochondrial dysfunction and ER stress impaired glutathione regulation leading to higher product aggregates in the fed-batch process. This is the first study to utilize perfusion bioreactors as a tool to demonstrate the intracellular mechanisms underlying product aggregation formation.


Author(s):  
Hanieh Nokhbatolfoghahaei ◽  
Mahboubeh Bohlouli ◽  
Kazem Adavi ◽  
Zahrasadat Paknejad ◽  
Maryam Rezai Rad ◽  
...  

Bioreactor system has been used in bone tissue engineering in order to simulate dynamic nature of bone tissue environments. Perfusion bioreactors have been reported as the most efficient types of shear-loading bioreactor. Also, combination of forces, such as rotation plus perfusion, has been reported to enhance cell growth and osteogenic differentiation. Mathematical modeling using sophisticated infrastructure processes could be helpful and streamline the development of functional grafts by estimating and defining an effective range of bioreactor settings for better augmentation of tissue engineering. This study is aimed to conduct computational modeling for newly designed bioreactors in order to alleviate the time and material consuming for evaluating bioreactor parameters and effect of fluid flow hydrodynamics (various amounts of shear stress) on osteogenesis. Also, biological assessments were performed in order to validate similar parameters under implementing the perfusion or rotating and perfusion fluid motions in bioreactors’ prototype. Finite element method was used to investigate the effect of hydrodynamic of fluid flow inside the bioreactors. The equations used in the simulation to calculate the velocity values and consequently the shear stress values include Navier–Stokes and Brinkman equations. It has been shown that rotational fluid motion in rotating and perfusion bioreactor produces more velocity and shear stress compared with perfusion bioreactor. Moreover, implementing the perfusion together with rotational force in rotating and perfusion bioreactors has been shown to have more cell proliferation and higher activity of alkaline phosphatase enzyme as well as formation of extra cellular matrix sheet, as an indicator of bone-like tissue formation.


Author(s):  
Selvan Ravindran ◽  
Pooja Singh ◽  
Sanjay Nene ◽  
Vinay Rale ◽  
Nutan Mhetras ◽  
...  

2019 ◽  
Vol 151 ◽  
pp. 107295 ◽  
Author(s):  
Moritz K.F. Wolf ◽  
Anna Pechlaner ◽  
Veronika Lorenz ◽  
Daniel J. Karst ◽  
Jonathan Souquet ◽  
...  

2019 ◽  
Vol 35 (3) ◽  
pp. e2790 ◽  
Author(s):  
Jean-Marc Bielser ◽  
Jakub Domaradzki ◽  
Jonathan Souquet ◽  
Hervé Broly ◽  
Massimo Morbidelli

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