Determination of ammonium and L-glutamine in hybridoma cell cultures by sequential flow injection analysis

Automated flow cytometry for monitoring CHO cell cultures

Flow cytometry has been used to accurately monitor cell events that indicate the spatio-temporal state of a bioreactor culture. The introduction of process analytical technology (PAT) has led to process improvements using real-time or semi real-time monitoring systems. Integration of flow cytometry into an automated scheme for improved process monitoring can benefit PAT in bioreactor-based biopharmaceutical productions by establishing optimum process conditions and better quality protocols. Herein, we provide detailed protocols for establishing an automated flow cytometry system that can be used to investigate and monitor cell growth, viability, cell size, and cell cycle data. A method is described for the use of such a system primarily focused on CHO cell culture, although it is foreseen the information gathered from automated flow cytometry can be applied to a variety of cell lines to address both PAT requirements and gain further understanding of complex biological systems.

Considerations on the lactate consumption by CHO cells in the presence of galactose

A CHO cell line producing t-PA was cultured using glutamate and glucose or galactose to decrease the formation of metabolic end-products and therefore improving the process. In batch cultures using glutamate (6 mM) with glucose at two different levels (5 and 20 mM) or with glucose and galactose (5 and 20 mM, respectively) a remarkable difference in cell culture parameters was evidenced. For 20 mM glucose, a usual cell pattern was observed with lactate built-up in the medium. For 5 mM glucose, cell growth was arrested due to glucose depletion and only a limited use of the excreted lactate could be observed, not supporting cell growth sufficiently. However, when glucose 5 mM and galactose 20 mM were used together, cells consumed the glucose first and, interestingly, in a second phase they continued growing on galactose with the simultaneous consumption of the endogenous lactate. Under these conditions, cell growth was even improved with respect to growth on 20 mM glucose, used as a control. This metabolic behavior is further investigated by using metabolic flux analysis, suggesting that the lactate produced is not used in the oxidative metabolism through the TCA cycle. Metabolic fate of the lactate consumed is discussed.

Strategies for fed-batch cultivation of t-PA producing CHO cells: substitution of glucose and glutamine and rational design of culture medium

A strategy for fed-batch cultivation of t-PA producing recombinant CHO cells is presented, based on the substitution of glucose and glutamine for slowly metabolized nutrients and in a rational design of the medium. Media for the batch and fed stages were based on the cell specific amino acid requirements, which allowed a more accurate determination of the initiation of the fed stage and the frequency of nutrient addition from then on. Salt concentration was also reduced in both media to avoid an increase in osmolality. As a consequence of this rational design, most amino acid did not accumulate significantly during the fed stage, as usually occurs when their supply is not based on cell requirements; also, lower amounts of by-products were obtained when osmolality level was kept low, that altogether increased viability, longevity and t-PA production when compared with a reference batch culture. Alternating glucose and galactose during the fed stage, allowed lactate detoxification of the cells through their own metabolism. This allowed an increase in cell growth and cell viability with respect to a fed-batch culture in which only glucose was used in the fed stage.

Instrumentation of biotechnological processes

Modern bioprocesses are monitored by on-line sensing devices mounted either in situ or externally. In addition to sensor probes, more and more analytical subsystems are being exploited to monitor the state of a bioprocess on-line and in real time. Some of these subsystems deliver signals that are useful for documentation only, other, less delayed systems generate signals useful for closed loop process control. Various conventional and non-conventional monitoring instruments are evaluated; their usefulness, benefits and associated pitfalls are discussed.

Modification of glucose and glutamine metabolism in hybridoma cells through metabolic engineering

The present work describes the genetic modification of a hybridoma cell line with the aim to change its metabolic behaviour, particularly reducing the amounts of ammonia and lactate produced by the cells. The cellular excretion of ammonia was eliminated by transfection of a cloned glutamine synthetase gene. The metabolic characterisation of the transformed cell line includes the analysis of the changes introduced in its intracellular metabolic fluxes by means of a stoichiometric model. Furthermore, the reduction of lactate accumulation was attempted through an antisense mRNA approach, aiming to generate a rate limiting step in the glycolytic pathway, thus lowering the glucose consumption rate. The physiological results obtained with the transformed cells are discussed. A maximum reduction of about 47% in the glucose consumption rate was obtained for one of the transformations. However a main drawback was the lack of stability of the transformed cells.

Determination of lysine in pharmaceutical samples containing endogenous ammonium ions by using a lysine oxidase biosensor based on an all-solid-state potentiometric ammonium electrode

A new potentiometric method is proposed to determine lysine in pharmaceutical samples. This method is based on a lysine biosensor consisting of a chemically immobilized lysine oxidase membrane attached to an all-solid-state ammonium electrode. Lysine is degraded in the sensor to release ammonium, which is detected by means of the ammonium electrode. The presence of endogenous ammonium in the samples interferes with these determinations, since the response measured corresponds to the sum of the ammonium generated enzymatically and that present in the sample. This is a general drawback for all biosensors based on the detection of ammonium. Study of samples containing both lysine and ammonium showed that concentration ranges exist in which a near-logarithmic relationship between potentials measured and lysine concentrations is found. Therefore, within these ranges, lysine can be determined by using the standard addition method, with the subsequent data treatment involving an iterative linearization procedure. Results obtained with the proposed potentiometric method are consistent with those given by the standard method for amino acid analysis.