The original article to which this Erratum refers was published in

We describe a simple protocol for determining the oxygen consumption of cells in static culture. The protocol is based on a noninvasive oxygen-sensing microplate and a simple mathematical model derived from Fick's Law. The applicability of the model is confirmed by showing the correlation of computed oxygen consumption rate (OCR) values to actual cell densities ascertained by direct cell counting and/or MTT for HL60 and U937 cells cultured in suspension. Correlation between computed OCR and these other indications of cell number was quite good, as long as the cultures were not diffusion-limited for oxygen. The impact of the geometric factors of media depth and well size were confirmed to be consistent with the model. Based on this demonstrated correlation, we also developed a simple, completely noninvasive algorithm for ascertaining the per-cell oxygen utilization rate (OUR), which is the ratio of OCR to cell number, and a fundamental cell characteristic. This is accomplished by correlating the known seed densities to extrapolated determinations of OCR at time zero. Such determinations were performed for numerous cell types, in varying well sizes. Resulting OUR values are consistent with literature values acquired by far more painstaking methods, and ranged from <0.01 fmol.min(-1).cell(-1) for bacteria to 0.1-10 fmol.min(-1).cell(-1) for immortalized mammalian and insect cell lines to >10 fmol.min(-1).cell(-1) for primary hepatocytes. This protocol for determining OCR and OUR is extremely simple and broadly applicable and can afford rapid, informative, and noninvasive insight into the state of the culture.

The measurement of cellular oxygen consumption rate (OCR) is a potential tool for the assessment of metabolic potency of isolated islets of Langerhans prior to clinical transplantation. We used a commercially available 96-well plate fluoroprobe, the BD Oxygen Biosensor System (OBS), to estimate OCR in 27 human islet preparations, and compared these results to those of concurrent mouse transplantations. OCR was estimated both from the dO2 at steady state and from the transient rate of change of dO2 during the initial culture period immediately after seeding ("dO2 slope"). To demonstrate the validity of the OBS-derived values, it was shown that they scaled linearly with islet equivalent number/DNA concentration and with each other. These measurements were obtained for each preparation of islets incubated in media supplemented with either low (2.2 mM) or high (22 mM) glucose. Concurrently, one to three athymic nude mice were transplanted with 2,000 IEQs under the kidney capsule. The OCR Index, defined as the ratio of the DNA-normalized "dO2 slope" in high glucose to that in low glucose, proved highly predictive of mouse transplant results. Of the 69 mice transplanted, those receiving islets where the OCR Index exceeded 1.27 were 90% likely to reverse within 3 days, whereas those receiving islets with an OCR Index below 1.27 took significantly longer, often failing to reverse at all over a 35-day time period. These results suggest that the OBS could be a useful tool for the pretransplant assessment of islet cell potency.

We have developed a novel fluorescent Oxygen BioSensor technology platform adaptable to many applications in the area of drug discovery and development, particularly cell-based assays. This biosensor technology requires no additional reagents or incubations, and affords continuous real-time readout of dissolved oxygen concentrations. Since the level of oxygen dissolved in an assay's medium correlates to the number and viability of the cells in the medium, this technology is ideally suited for monitoring cell viability, proliferation, or death. The technology is particularly well suited to investigating cells' kinetic responses to proliferative or toxic stimuli, such as drugs. When incorporated into a 96- or 384-well microplate format, it is compatible with standard laboratory automation systems. Here we present data illustrating the application of the Oxygen BioSensor technology for rapid, homogeneous detection and evaluation of metabolic activity of a variety of eukaryotic and prokaryotic cells, including mammalian cells, insect cells, yeast, and bacteria. In the absence of toxic substances, we find a good correlation between cell number and signal over a wide range of cell concentrations and growth times. To evaluate the usefulness of the Oxygen BioSensor for cytotoxicity assays, we have performed a series of experiments using a range of toxic agents and cell types, including both bacteria and mammalian cell lines. In a side-by-side comparison to standard MTT assays using HL60 cells, comparable IC50 values were found with the Oxygen BioSensor for five different toxins or drugs. This assay method does not have the need for additional reagents, handling steps, or incubation periods required by the MTT assays.

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