Simple delay monitor for droplet sorters

We have constructed a simple device by which the optimal delay time between optical measurement of a cell and the application of the droplet charging pulse can be determined directly in a flow sorter. The device consists of a stainless steel chamber in which the sorted droplets are collected. In the collection chamber the collected droplets run through a capillary where a continuous fluorescence measurement is made. With a sample of fluorescent particles, the delay time is optimal when the measured fluorescence is maximal. The measuring volume is always filled with the last droplets sorted (about 3,000). With this device, the setting of the delay time can be done in a few seconds without the need for microscopical verification. The fluorescence in the collection chamber is excited and detected via optical fibers using about 10% of the light of the existing laser from the flow cytometer and an extra photomultiplier.     

A novel real-time system to monitor cell aggregation and trajectories in rotating wall vessel bioreactors

Rotating wall vessel bioreactors (RWVs) constitute dynamic suspension culture venues for tissue engineering. Quantitative real-time assessment of the kinetics of cell-cell aggregation in RWVs can yield mechanistic information about the initial steps leading to the assembly of individual cells into tissue-like constructs. In our imaging system, fluorescently labeled cells suspended in a HARV-type RWV were irradiated by a laser-beam. Emission was recorded by a camera mounted at 90 degrees to the excitation plane. Using macro lenses, the system identified approximately 5 microm particles from a 5 cm working distance, distinguished aggregated 20 microm microspheres from larger (45 and 90 microm) microspheres, and plotted local trajectories of microspheres and cells. Sizes of PC12 cells assessed by our system matched conventional measurements. We validated the system's ability to follow HepG2 and PC12 aggregation in real time over 24h of RWV culture. Taken together, our system provides the means to measure and analyze in real time the processes that lead to the 3D tissue-like assembly of diverse cell types into spheroids. Future studies include development of intelligent feedback algorithms, allowing automatic control over RWV rotational speed required to maintain aggregating cells and nascent tissue in continual free fall.     

Characterization of aerosols produced by cell sorters and evaluation of containment

Despite the recognition of potential aerosol hazards associated with cell sorting by the flow cytometry community, there has been no previous study that has thoroughly characterized the aerosols that can be produced by cell sorters. In this study, an aerodynamic particle sizer was used to determine the concentration and aerodynamic diameter (AD) of aerosols produced by a FACS Aria II cell sorter under various conditions. Aerosol containment and evacuation were also evaluated using this novel methodology. The results showed that high concentrations of aerosols in the range of 1-3 μm can be produced in fail mode and that with decreased sheath pressure, aerosol concentration decreased and AD increased. Although the engineering controls of the FACS Aria II for containment were effective, sort chamber evacuation of aerosols following a simulated nozzle obstruction was ineffective. However, simple modifications to the FACS Aria II are described that greatly improved sort chamber aerosol evacuation. The results of this study will facilitate the risk assessment of cell sorting potentially biohazardous samples by providing much needed data regarding aerosol production and containment.     

A simple time delay model for eukaryotic cell cycle

We propose a seven variable model with time delay in one of the variables for the cell cycle in higher eukaryotes. The model consists of four important phosphorylation-dephosphorylation (P-D) cycles that govern the cell cycle, namely Pre-MPF-MPF, Cdc25P-Cdc25, Wee1P-Wee1 and APCP-APC. Other variables are cyclin, free cyclin dependent kinase (Cdk) and mass. The mass acts as a G2/M checkpoint and the checkpoint is represented by a saddle node loop bifurcation. The key feature of the model is that a time lag has been introduced in the activation of anaphase promoting complex (APC) by maturation promoting factor (MPF). This is effected by treating MPF as a time-delayed variable in the activation step of APC. The time lag acts as a spindle checkpoint. Absence of time delay induces a bistability in our model. Time delay also brings about variability in G1 phase timings. The model also reproduces the mutant phenotype experiments on wee1 cells. Stochasticity has been introduced in the model to simulate the dependence of the cycle time on cell birth length. Mutant phenotypes in the stochastic model reproduce the experimental observations better than the deterministic model.     

A single cell tracking system in real-time

We describe here a novel real-time cell tracking system which can measure cell migration routes under cell culture condition. This system includes a mini incubator which controls temperature and CO₂ gas flow and a PDMS (polydimethylsiloxane) chip for chemotaxis measurement. The main differences from previous ones are real-timely long-term (?24 h) tracking for single cell quantitatively, simple and inexpensive constitution of optical parts for illumination and imaging, and compatible to commercial well plate. The tracking principle is to trace cell images for each 0.2 s by converting the live cell images to binary images of black and white. Migration results of HUVEC and NCI-H23 cells are obtained respectively using this system. The results are single cell path (x, y) during migration, cell size, migration distance, migration speed, real-time pictures and so on. This system is applicable to all kinds of researches related to cell migration such as cell angiogenesis, chemotaxis, and moreover cancer metastasis.     

Automated real-time measurement of chemotactic cell motility.

We have developed a novel method, (ECIS/taxis), for monitoring cell movement in response to chemotactic and chemokinetic factors. In this system, cells migrate in an under-agarose environment, and their positions are monitored using the electric cell-substrate impedance sensor technology to measure the impedance change at a target electrode, that is lithographed onto the substrate, as the cells arrive at the target. In the studies reported here, Dictyostelium discoideum was used as a prototypical, motile eukaryotic cell. Using the ECIS/taxis system, the arrival of cells at the target electrode was proportional to the dose offolate used to stimulate the cells and could be assessed by changes in resistance at the electrode. ECIS/taxis was readily able to distinguish between wild-type cells and a mutant that is deficient in its chemotactic response. Finally, we have shown that an agent that interferes with chemotactic motility leads to the delayed arrival of cells at the target electrode. The multi-well assay configuration allows for simultaneous automated screening of many samples for chemotactic or anti-chemotactic activity. This assay system is compatible with measurements of mammalian cell movement and should be valuable in the assessment of both agonists and antagonists of cell movement.     

Gas monitor and control unit for cell culture system

The Meta-Stat gas monitor, a component instrument which automatically monitors and controls the pH and gas content of the liquid phase in suspension cell-culture systems, has been developed to provide continuous pH control within ± 0.015 units, as well as continuous oxygen control within 0.5% of the preset level in the range of 0–40% O₂.     

A screen-printed microband glucose biosensor system for real-time monitoring of toxicity in cell culture

Microband biosensors, screen-printed from a water-based carbon ink containing cobalt phthalocyanine redox mediator and glucose oxidase (GOD) enzyme, were used to monitor glucose levels continuously in buffer and culture medium. Five biosensors were operated amperometrically (E(app) of +0.4V), in a 12-well tissue culture plate system at 37°C, using a multipotentiostat. After 24 h, a linear calibration plot was obtained from steady-state current responses for glucose concentrations up to 10 mM (dynamic range 30 mM). Within the linear region, a correlation coefficient (R(2)) of 0.981 was obtained between biosensor and spectrophotometric assays. Over 24 h, an estimated 0.15% (89 nmol) of the starting glucose concentration (24 mM) was consumed by the microbiosensor. The sensitivity of the biosensor response in full culture medium was stable between pHs 7.3 and 8.4. Amperometric responses for HepG2 monolayer cultures decreased with time in inverse proportionality to cell number (for 0 to 10(6) cell/ml), as glucose was being metabolised. HepG2 3D cultures (spheroids) were also shown to metabolise glucose, at a rate which was independent of spheroid age (between 6 and 15 days). Spheroids were used to assay the effect of a typical hepatotoxin, paracetamol. At 1 mM paracetamol, glucose uptake was inhibited by 95% after 6 h in culture; at 500 μM, around 15% inhibition was observed after 16 h. This microband biosensor culture system could form the basis for an in vitro toxicity testing system.     

Magnetoresistive-based real-time cell phagocytosis monitoring

The uptake of large particles by cells (phagocytosis) is an important factor in cell biology and also plays a major role in biomedical applications. So far, most methods for determining the phagocytic properties rely on cell-culture incubation and end-point detection schemes. Here, we present a lab-on-a-chip system for real-time monitoring of magnetic particle uptake by human fibroblast (NHDF) cells. It is based on recording the time evolution of the average position and distribution of magnetic particles during phagocytosis by giant-magnetoresistive (GMR) type sensors. We employ particles with a mean diameter of 1.2 μm and characterize their phagocytosis-relevant properties. Our experiments at physiological conditions reveal a cellular uptake rate of 45 particles per hour and show that phagocytosis reaches saturation after an average uptake time of 27.7h. Moreover, reference phagocytosis experiments at 4°C are carried out to mimic environmental or disease related inhibition of the phagocytic behavior, and our measurements clearly show that we are able to distinguish between cell-membrane adherent and phagocytosed magnetic particles. Besides the demonstrated real-time monitoring of phagocytosis mechanisms, additional nano-biointerface studies can be realized, including on-chip cell adhesion/spreading as well as cell migration, attachment and detachment dynamics. This versatility shows the potential of our approach for providing a multifunctional platform for on-chip cell analysis.     

A new indicator cell line established to monitor bovine foamy virus infection

In order to improve the accuracy for quantitating the bovine foamy virus (BFV) in vitro, we developed a baby hamster kidney cell (BHK)-21-derived indicator cell line containing a plasmid that encodes the firefly luciferase driven by the BFV long terminal repeat promoter (LTR, from −7 to 1012). The BFV titer could be determined by detecting the luciferase expression since the viral trans-activator BTas protein activates the promoter activity of the LTR. One clone, designated BFVL, was selected from ten neomycin-resistant clones. BFVL showed a specific and inducible dose- and time-dependent luciferase activity in response to BFV infection. Although the changes in luciferase activity of BFVL peaked at 84 h post infection, it was possible to differentiate infected and uninfected cells at 48 h post infection. A linear relationship was established between the multiplicity of infection (MOI) of BFV and the activated ratio of luciferase expression in BFVL. Moreover, the sensitivity of the BFVL-based assay for detecting infectious BFV was 10,000 times higher than the conventional CPE-based assay at 48 h post infection. These findings suggest that the BFVL-based assay is rapid, easy, sensitive, quantitative and specific for detection of BFV infection.     

A machine-learning approach to calibrate generic Raman models for real-time monitoring of cell culture processes

The manufacture of biotherapeutic proteins consists of complex upstream unit operations requiring multiple raw materials, analytical techniques, and control strategies to produce safe and consistent products for patients. Raman spectroscopy is a ubiquitous multipurpose analytical technique in biopharmaceutical manufacturing for real-time predictions of critical parameters in cell culture processes. The accuracy of Raman spectroscopy relies on chemometric models that need to be carefully calibrated. The existing calibration procedure is nontrivial to implement as it necessitates executing multiple carefully designed experiments for generating relevant calibration sets. Further, existing procedure yields calibration models that are reliable only in operating conditions they were calibrated in. This creates a unique challenge in clinical manufacturing where products have limited production history. In this paper, a novel machine-learning procedure based on just-in-time learning (JITL) is proposed to calibrate Raman models. Unlike traditional techniques, JITL-based generic Raman models can be reliably used for different modalities, cell lines, culture media, and operating conditions. The accuracy of JITL-based generic models is demonstrated on several validation studies involving real-time predictions of critical cell culture performance parameters, such as glucose, glutamate, glutamine, ammonium, lactate, sodium, calcium, viability, and viable cell density. The proposed JITL framework introduces a paradigm shift in the way industrial Raman models are calibrated, which to the best of authors’ knowledge have not been done before.     

Virtual nitrogen tank to monitor frozen cell stocks

We developed a program to facilitate the monitoring of biological samples (cell lines, sera, etc.) that are stored in liquid nitrogen containers. The program consists of a "virtual" container in which scientists can store their samples and a program that records the location of each sample, cell characteristics, storage dates, names of the manipulators and much more. Additional comments and a photograph can be associated with each vial, allowing for reliable tracking of samples. Vials can then be identified according to any parameter of interest to the scientist, including associated comments. Once identified, the program visually presents the location of these vials, which simplifies retrieving them from the real container. The program records the thawing of vials, along with the date and the name of the operator. Any academic laboratory requesting this standalone program will be granted a free license for its use.     

A real-time PCR antibiogram for drug-resistant sepsis

Current molecular diagnostic techniques for susceptibility testing of septicemia rely on genotyping for the presence of known resistance cassettes. This technique is intrinsically vulnerable due to the inability to detect newly emergent resistance genes. Traditional phenotypic susceptibility testing has always been a superior method to assay for resistance; however, relying on the multi-day growth period to determine which antimicrobial to administer jeopardizes patient survival. These factors have resulted in the widespread and deleterious use of broad-spectrum antimicrobials. The real-time PCR antibiogram, described herein, combines universal phenotypic susceptibility testing with the rapid diagnostic capabilities of PCR. We have developed a procedure that determines susceptibility by monitoring pathogenic load with the highly conserved 16S rRNA gene in blood samples exposed to different antimicrobial drugs. The optimized protocol removes heme and human background DNA from blood, which allows standard real-time PCR detection systems to be employed with high sensitivity (<100 CFU/mL). Three strains of E. coli, two of which were antimicrobial resistant, were spiked into whole blood and exposed to three different antibiotics. After real-time PCR-based determination of pathogenic load, a ΔC(t)<3.0 between untreated and treated samples was found to indicate antimicrobial resistance (P<0.01). Minimum inhibitory concentration was determined for susceptible bacteria and pan-bacterial detection was demonstrated with 3 gram-negative and 2 gram-positive bacteria. Species identification was performed via analysis of the hypervariable amplicons. In summary, we have developed a universal diagnostic phenotyping technique that assays for the susceptibility of drug-resistant septicemia with the speed of PCR. The real-time PCR antibiogram achieves detection, susceptibility testing, minimum inhibitory concentration determination, and identification in less than 24 hours.     

Nested real-time PCR for hepatitis A detection

Aims:  The hepatitis A virus (HAV) is one of the most important human foodborne pathogens causing a number of worldwide outbreaks each year. The detection of HAV in food samples remains a complex issue, because commonly used detection tools, such as conventional or even real-time PCR assays, are often unable to detect HAV with sufficient sensitivity. The aims of this study were to develop highly sensitive and specific nested real-time PCR (NRT-PCR)-based method for HAV detection in food and to compare it with currently available methods.
Methods and Results:  By combining conventional PCR, nested PCR and real-time PCR techniques, we have developed a specific NRT-PCR assay for the detection of HAV. The procedure involves two consecutive PCRs, the first of which is performed as a conventional RT-PCR using primers specific for HAV 5' noncoding region. The second reaction involves a real-time PCR using a nested primer pair specific for the first PCR product and a TaqMan probe.
Conclusions:  We have developed a novel NRT-PCR method capable of detecting as little as 0·2 PFU of HAV, which is significantly more sensitive than any other PCR technique tested in our system.
Significance and Impact of the Study:  NRT-PCR provides a potentially useful method for detecting HAV at extremely low levels, as frequently found in food samples, and can be potentially adopted as a regulatory method to ensure food safety.     

Specific detection of residual CHO host cell DNA by real-time PCR.

Chinese hamster ovary cells have been widely used to manufacture recombinant proteins for human therapeutic use. A sensitive quantitative real-time polymerase chain reaction assay for the detection of residual Chinese hamster (Cricetulus griseus) DNA is presented in this paper. The assay is reasonably affordable and can be adapted for high-throughput screening using 96-well format. Real-time PCR primers were designed to amplify a 150bp region of a genomic fragment from hamster DNA. The specificity of the probe was evaluated in real-time PCR reactions using genomic DNA from mouse fibroblast, human kidney and hamster ovary cell lines as template. Sensitivity of real-time PCR was compared on genomic DNA from hamster cell line CHO DG44. These primers can be used in real-time PCR reactions to detect presence of contaminating hamster DNA in purified protein samples down to sensitivity of 300fg genomic DNA.