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Feb 1, 2012 (Vol. 32, No. 3)

Optimizing Cells and Cultures for Better Productivity

  • Factors that improve upstream productivity in mammalian cell culture-based manufacturing are many and varied. Michael Betenbaugh, Ph.D., professor of chemical and biomolecular engineering at Johns Hopkins University, says that the elucidation of the Chinese hamster genome will create opportunities for approaches based on proteomics, metabolomics, and glycomics, as well as genomics, for characterizing and adapting CHO cells.

    He describes one approach, using microRNA, on CHO cell apoptosis. Cell viability is a huge factor in the success of CHO cultures. Dr. Betenbaugh induced apoptosis in cells by exposing them to nutrient-depleted media and found upregulation of endogenous microRNAs associated with cell death.

    One upregulated gene out of 38 proposed microRNAs, mmu-miR-466h, inhibits anti-apoptosis genes. As predicted, knockdown of this gene reduced apoptosis.

    “We were able to change the trajectory of viability for these cells,” says Dr. Betenbaugh. In addition to studying regulatory microRNAs, he is using a proteomics approach to determine which proteins may be involved in apoptosis and other cell activities related to cell culture productivity.

    The value of omics analysis in CHO cell-line optimization is the ability to compare, through several (and sometimes orthogonal) approaches, high-producing or more viable cells from undesirable cells without directly quantifying either viability or product proteins.

    MicroRNA has two limitations. Of minor importance is that microRNA gene inactivation tends to be transient. More useful knockdowns would persist for the life of the culture. More significant are a cell’s ability to work around artificial states such as gene knockdowns, and the presence of multiple regulatory genes.

    “You can inhibit one anti-apoptosis gene but it won’t completely block cell death,” explains Dr. Betenbaugh.“Other studies have dispelled the idea of a magic bullet.”

  • What Experts Are Thinking

    Several talks at Select Biosciences’ “Cell Culture” conference will shed light on current modes of thinking among upstream specialists.

    Matthew Croughan, Ph.D., professor at the Keck Graduate Institute, will focus on new methods to control cell metabolism and advanced mass transfer strategies to achieve high titers and cell densities.

    The need to control metabolism arises from the successes of modern mammalian cell culture: As cell densities increase, so do concentrations of waste products like lactic acid and ammonia. Dr. Croughan is looking at four techniques to reduce the waste burden in fed-batch cultures.

    The first, reducing lactic acid production through feedback control of glucose, is based upon careful monitoring of “pH trajectories.” This approach, developed at Pfizer and known as HIPDOG (high-end pH-controlled delivery of glucose), is based on the fact that cells consume lactic acid when glucose levels fall below about 1 mM.

    As acid levels fall, pH rises. Researchers devised a feeding method that delivers concentrated glucose solution, in response to rising pH, which reduces lactate accumulation during the cells’ growth phase.

    The next technique, a patent-pending method invented by Dr. Croughan and Nate Freund, a former student, reduces lactic acid and ammonia production by adapting cells to high (40 mM) lactate.

    “The high lactate concentration pushes the equilibrium toward pyruvate, away from lactate production,” he says. “In fact, if lactic acid concentration is high enough the cells will consume it.”

    The other approaches involve reducing lactic acid production by transfecting cells with anti-apoptosis genes and controlling cell metabolism through “advanced flux modeling” and medium optimization. The material in this article related to Dr. Betenbaugh describes the anti-apoptosis approach.

    The last technique was developed by Bernard Palsson, Ph.D., professor at the University of California, San Diego, and commercialized by GT Life Sciences, a division of Intrexon.

    All well and good, but can these techniques be used together to create super-cells and super-cultures? Dr. Croughan is cautiously optimistic.

    “They possess common components, but some overlap. It may be possible to combine flux modeling with anti-apoptosis strategies, lactate supplementation and adaptation, or HIPDOG.”

    Interestingly, some of these techniques are being applied to transiently transfected cells, which currently produce at much lower levels than stably transfected lines. Transient transfections are normally conducted at research or investigational scale, but the extra productivity cannot hurt.

  • Impact of Design

    Tiffany Rau, Ph.D., process engineer at Pall, is delivering a presentation at the San Diego conference on design of experiment (DOE), quality by design, and scaleup/scale-down tools. Dr. Rau observes that DOE is about empowering scientists early on to design processes that are robust and get you into the manufacturing suite quickly. “We all have very short timelines. Patients are waiting, and stockholders are too.”

    Engaging in DOE is critical for situations where selected cell lines do not scale to larger bioreactors. The idea is to get cells into controlled reactors early, to avoid pursuing cells that are “winners” in shake flasks but bomb in bioreactors at 3 or 20 liter scales.

    Simple DOE experiments might employ five bioreactors if run in single mode, or multiples of five when done in replicate. “That’s a lot of reactors and a lot of work,” says Dr. Rau. “It’s hard for smaller, resource-limited companies to perform such extensive studies.”

    Microbioreactors, which have become popular tools for DOE in cell culture, reproduce the critical parameters affecting productivity at large scale. Several companies sell these systems in various reactor sizes, and with varying levels of control.

    TAP Biosystems’ ambr™ cell culture workstation holds up to 48 bioreactors, of up to 15 mL each of working volume; the Biolector from Dasgip, a company just acquired by Eppendorf, monitors cell growth and output in 96 wells at up to 1.5 mL per reactor; Seahorse Bioscience weighs in with 0.7 mL SimCell™ system with up to 1,200 individual reactor wells.

    About one year ago Pall entered the microbioreactor marketplace by acquiring MicroReactor Technologies. Microreactor’s Micro-24 Microreactor System was originally distributed by Applikon, but Pall has begun selling it directly to customers.

    DOE provides opportunities to gain deep insight into processes at the potential cost of data overload. DOE’s major limitation is getting carried away—over-designing an experiment to the degree that it eats up time and resources. Process developers must keep the distinction between high-throughput screening-type operations and experimental design.

    Biological systems are complex, and many factors affect productivity of cell culture processes. One cannot test for all possible properties. “You don’t want to do 500 experiments,” cautions Dr. Lau. Instead developers should keep the design space as simple as possible. This requires a high level of confidence in picking critical parameters and guiding the course of the experiment, as well as statistical savvy.

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