Efficient separation of large particles and giant cancer cells using an isosceles trapezoidal spiral microchannel.

Polyploid giant cancer cells (PGCCs) contribute to the genetic heterogeneity and evolutionary dynamics of tumors. Their size, however, complicates their isolation from mainstream tumor cell populations. Standard techniques like fluorescence-activated cell sorting (FACS) rely on fluorescent labeling, introducing potential challenges in subsequent PGCC analyses. In response, we developed the Isosceles Trapezoidal Spiral Microchannel (ITSµC), a microfluidic device optimizing the Dean drag force (FD) and exploiting uniform vortices for enhanced separation. Numerical simulations highlighted ITSµC's advantage in producing robust FD compared to rectangular and standard trapezoidal channels. Empirical results confirmed its ability to segregate larger polystyrene (PS) particles (avg. diameter: 50 µm) toward the inner wall, while directing smaller ones (avg. diameter: 23 µm) outward. Utilizing ITSµC, we efficiently isolated PGCCs from doxorubicin-resistant triple-negative breast cancer (DOXR-TNBC) and patient-derived cancer (PDC) cells, achieving outstanding purity, yield, and viability rates (all greater than 90%). This precision was accomplished without fluorescent markers, and the versatility of ITSµC suggests its potential in differentiating a wide range of heterogeneous cell populations.

Nanoplasmonic Avidity-Based Detection and Quantification of IgG Aggregates.

Production of therapeutic monoclonal antibodies (mAbs) is a complex process that requires extensive analytical and bioanalytical characterization to ensure high and consistent product quality. Aggregation of mAbs is common and very problematic and can result in products with altered pharmacodynamics and pharmacokinetics and potentially increased immunogenicity. Rapid detection of aggregates, however, remains very challenging using existing analytical techniques. Here, we show a real-time and label-free fiber optical nanoplasmonic biosensor system for specific detection and quantification of immunoglobulin G (IgG) aggregates exploiting Protein A-mediated avidity effects. Compared to monomers, IgG aggregates were found to have substantially higher apparent affinity when binding to Protein A-functionalized sensor chips in a specific pH range (pH 3.8-4.0). Under these conditions, aggregates and monomers showed significantly different binding and dissociation kinetics. Reliable and rapid aggregate quantification was demonstrated with a limit of detection (LOD) and limit of quantification (LOQ) of about 9 and 30 µg/mL, respectively. Using neural network-based curve fitting, it was further possible to simultaneously quantify monomers and aggregates for aggregate concentrations lower than 30 µg/mL. Our work demonstrates a unique avidity-based biosensor approach for fast aggregate analysis that can be used for rapid at-line quality control, including lot/batch release testing. This technology can also likely be further optimized for real-time in-line monitoring of product titers and quality, facilitating process intensification and automation.

A Microbore Tubing Based Spiral for Multistep Cell Fractionation.

Cells were separated with the aid of a multistep spiral fractionation device, utilizing hydrodynamic forces in a spiral tubing. The spiral was fabricated using "off-the-shelf" microbore tubing, allowing for cheap and fast prototyping to achieve optimal cell separation. As a first step, a model system with 20 and 40 µm beads was used to demonstrate the effectiveness of the multistep separation device. With an initial purity of 5%, a separation purity of 83% was achieved after a two-step separation with the addition of 0.1% polyethylene glycol (PEG)-8000. Next, doxorubicin-resistant polyploid giant breast cancer cells (MDA-MB-231) were separated from doxorubicin-sensitive monoploid small breast cancer cells in the same fashion as the beads, resulting in a purity of around 40%, while maintaining a cell viability of more than 90%. Combined with basic cell analytical methods, the hydrodynamic separation principle of the device could be envisaged to be useful for a variety of cell fractionation needs in cell biology and in clinical applications.

On-line soft sensing in upstream bioprocessing.

This review provides an overview and a critical discussion of novel possibilities of applying soft sensors for on-line monitoring and control of industrial bioprocesses. Focus is on bio-product formation in the upstream process but also the integration with other parts of the process is addressed. The term soft sensor is used for the combination of analytical hardware data (from sensors, analytical devices, instruments and actuators) with mathematical models that create new real-time information about the process. In particular, the review assesses these possibilities from an industrial perspective, including sensor performance, information value and production economy. The capabilities of existing analytical on-line techniques are scrutinized in view of their usefulness in soft sensor setups and in relation to typical needs in bioprocessing in general. The review concludes with specific recommendations for further development of soft sensors for the monitoring and control of upstream bioprocessing.

Comparison of weak affinity chromatography and surface plasmon resonance in determining affinity of small molecules.

In this study, we compared affinity data from surface plasmon resonance (SPR) and weak affinity chromatography (WAC), two established techniques for determination of weak affinity (mM-µM) small molecule-protein interactions. In the current comparison, thrombin was used as target protein. In WAC the affinity constant (KD) was determined from retention times, and in SPR it was determined by Langmuir isotherm fitting of steady-state responses. Results indicate a strong correlation between the two methods (R(2)=0.995, P<0.0001).

A soft sensor for bioprocess control based on sequential filtering of metabolic heat signals.

Soft sensors are the combination of robust on-line sensor signals with mathematical models for deriving additional process information. Here, we apply this principle to a microbial recombinant protein production process in a bioreactor by exploiting bio-calorimetric methodology. Temperature sensor signals from the cooling system of the bioreactor were used for estimating the metabolic heat of the microbial culture and from that the specific growth rate and active biomass concentration were derived. By applying sequential digital signal filtering, the soft sensor was made more robust for industrial practice with cultures generating low metabolic heat in environments with high noise level. The estimated specific growth rate signal obtained from the three stage sequential filter allowed controlled feeding of substrate during the fed-batch phase of the production process. The biomass and growth rate estimates from the soft sensor were also compared with an alternative sensor probe and a capacitance on-line sensor, for the same variables. The comparison showed similar or better sensitivity and lower variability for the metabolic heat soft sensor suggesting that using permanent temperature sensors of a bioreactor is a realistic and inexpensive alternative for monitoring and control. However, both alternatives are easy to implement in a soft sensor, alone or in parallel.

A physiological model for iohexol plasma clearance supporting diagnostics of kidney function.

BACKGROUND: There are several shortcomings in present methods for estimation of GFR from plasma clearance. The aim of the present study was therefore to develop a physiologically based method for calculation of plasma clearance of iohexol. METHODS: A mechanistic model founded on classical biochemical engineering principles where in- and outgoing molecular flows of iohexol between plasma and surrounding tissues were balanced over time. After intravenous injections of iohexol, plasma samples were taken from the investigated subjects until complete elimination of iohexol. After tuning of the model parameters, the clearance value was calculated from the injected dose and the integral of the iohexol concentrations over the investigated period. RESULTS: The mass balance model was able to predict the time course of iohexol distribution and elimination after parameterization of mass balance and kinetic equations. Four model structures were evaluated, all based on model parameters derived from published data and from internal tests, each complied at varying physiological conditions. Iohexol clearance was assessed through the model and compared with calculations from previously practiced methods. When testing the mass balance model on ten healthy subjects, clearance was estimated accurately. CONCLUSIONS: The physiological and mechanistic character of the mass balance model may suggest that its derived clearance comes closer to actual in vivo conditions than data derived from previously practiced calculation methods. Although here, only verified with the clearance marker iohexol, the mass balance model should be applicable also to other renal clearance markers.

In-line fiber optical sensor for detection of IgG aggregates in affinity chromatography.

Therapeutic monoclonal antibodies (mAbs) are critical for treatment of a wide range of diseases. Immunoglobulin G (IgG) is the most predominant form of mAb but is prone to aggregation during production. Detection and removal of IgG aggregates are time-consuming and laborious. Chromatography is central for purification of biopharmaceuticals in general and essential in the production of mAbs. Protein purification systems are usually equipped with detectors for monitoring pH, UV absorbance, and conductivity, to facilitate optimization and control of the purification process. However, specific in-line detection of the target products and contaminating species, such as aggregates, is currently not possible using convectional techniques. Here we show a novel fiber optical in-line sensor, based on localized surface plasmon resonance (LSPR), for specific detection of IgG and IgG aggregates during affinity chromatography. A flow cell with a Protein A sensor chip was connected to the outlet of the affinity column connected to three different chromatography systems operating at lab scale to pilot scale. Samples containing various IgG concentrations and aggregate contents were analyzed in-line during purification on a Protein A column using both pH gradient and isocratic elution. Because of avidity effects, IgG aggregates showed slower dissociation kinetics than monomers after binding to the sensor chips. Possibilities to detect aggregate concentrations below 1 % and difference in aggregate content smaller than 0.3 % between samples were demonstrated. In-line detection of aggregates can circumvent time-consuming off-line analysis and facilitate automation and process intensification.

Soft sensor control of metabolic fluxes in a recombinant Escherichia coli fed-batch cultivation producing green fluorescence protein.

A soft sensor approach is described for controlling metabolic overflow from mixed-acid fermentation and glucose overflow metabolism in a fed-batch cultivation for production of recombinant green fluorescence protein (GFP) in Escherichia coli. The hardware part of the sensor consisted of a near-infrared in situ probe that monitored the E. coli biomass and an HPLC analyzer equipped with a filtration unit that measured the overflow metabolites. The computational part of the soft sensor used basic kinetic equations and summations for estimation of specific rates and total metabolite concentrations. Two control strategies for media feeding of the fed-batch cultivation were evaluated: (1) controlling the specific rates of overflow metabolism and mixed-acid fermentation metabolites at a fixed pre-set target values, and (2) controlling the concentration of the sum of these metabolites at a set level. The results indicate that the latter strategy was more efficient for maintaining a high titer and low variability of the produced recombinant GFP protein.

Realization of user-friendly bioanalytical tools to quantify and monitor critical components in bio-industrial processes through conceptual design.

This minireview suggests a conceptual and user-oriented approach for the design of process monitoring systems in bioprocessing. Advancement of process analytical techniques for quantification of critical analytes can take advantage of basic conceptual process design to support reasoning, reconsidering and ranking solutions. Issues on analysis in complex bio-industrial media, sensitivity and selectivity are highlighted from users' perspectives. Meeting challenging analytical demands for understanding the critical interplay between the emerging bioprocesses, their biomolecular complexity and the needs for user-friendly analytical tools are discussed. By that, a thorough design approach is suggested based on a holistic design thinking in the quest for better analytical opportunities to solve established and emerging analytical needs.

Process integrated biosensors for real-time monitoring of antibodies for automated affinity purification.

Therapeutic monoclonal antibodies (mAbs) provide new means for treatments of a wide range of diseases and comprise a large fraction of all new approved drugs. Production of mAbs is expensive compared to conventional drug production, primarily due to the complex processes involved. The affinity purification step is dominating the cost of goods in mAb manufacturing. Process intensification and automation could reduce costs, but the lack of real-time process analytical technologies (PAT) complicates this development. We show a specific and robust fiber optical localized surface plasmon resonance (LSPR) sensor technology that is optimized for in-line product detection in the effluent in affinity capture steps. The sensor system comprises a flow cell and a replaceable sensor chip functionalized with biorecognition elements for specific analyte detection. The high selectivity of the sensor enable detection of mAbs in complex sample matrices at concentrations below 2.5 µg mL-1. In place regeneration of the sensor chips allowed for continuous monitoring of multiple consecutive chromatographic separation cycles. Excellent performance was obtained at different purification scales with flow rates up to 200 mL min-1. This sensor technology facilitates efficient column loading, optimization, and control of chromatography systems, which can pave the way for continuous operation and automation of protein purification steps.

Cardiotoxicity testing using pluripotent stem cell-derived human cardiomyocytes and state-of-the-art bioanalytics: a review.

In this article, recent progress in cardiotoxicity testing based on the use of immortalized cell lines or human embryonic stem cell (hESC) derived cardiomyocytes in combination with state-of-the-art bioanalytical methods and sensors is reviewed. The focus is on hESC-derived cells and their refinement into competent testing cells, but the access and utility of other relevant cell types are also discussed. Recent developments in sensor techniques and bioanalytical approaches for measuring critical cardiotoxicity parameters are highlighted, together with aspects of data evaluation and validation. Finally, recommendations for further research are given.

Toward preclinical predictive drug testing for metabolism and hepatotoxicity by using in vitro models derived from human embryonic stem cells and human cell lines - a report on the Vitrocellomics EU-project.

Drug-induced liver injury is a common reason for drug attrition in late clinical phases, and even for post-launch withdrawals. As a consequence, there is a broad consensus in the pharmaceutical industry, and within regulatory authorities, that a significant improvement of the current in vitro test methodologies for accurate assessment and prediction of such adverse effects is needed. For this purpose, appropriate in vivo-like hepatic in vitro models are necessary, in addition to novel sources of human hepatocytes. In this report, we describe recent and ongoing research toward the use of human embryonic stem cell (hESC)-derived hepatic cells, in conjunction with new and improved test methods, for evaluating drug metabolism and hepatotoxicity. Recent progress on the directed differentiation of human embryonic stem cells to the functional hepatic phenotype is reported, as well as the development and adaptation of bioreactors and toxicity assay technologies for the testing of hepatic cells. The aim of achieving a testing platform for metabolism and hepatotoxicity assessment, based on hESC-derived hepatic cells, has advanced markedly in the last 2-3 years. However, great challenges still remain, before such new test systems could be routinely used by the industry. In particular, we give an overview of results from the Vitrocellomics project (EU Framework 6) and discuss these in relation to the current state-of-the-art and the remaining difficulties, with suggestions on how to proceed before such in vitro systems can be implemented in industrial discovery and development settings and in regulatory acceptance.

Fluorescent cell-based sensing approaches for toxicity testing.

Fluorimetric cell-based sensing methods have attracted increasing interest in toxicity testing of pharmaceuticals, pathogens, environmental pollutants, and other chemicals. The objective of this review is to summarise the variety of approaches reported up to now and to present recent developments in this area. The different approaches are described in relation to their underlying mechanism and, especially, to the role of the fluorophore involved. The methods discussed include the use of fluorescent or fluorogenic indicators, fluorescence-based testing for membrane integrity, approaches based on fluorescence labelling, inducible fluorescent protein expression, and analysis of cellular autofluorescence. Several of these approaches have been shown to be advantageous in comparison with non-fluorescence methods and have potential in high-throughput screening, for example in drug discovery and safety pharmacology.

Monitoring of troponin release from cardiomyocytes during exposure to toxic substances using surface plasmon resonance biosensing.

Troponin T (TnT) is a useful biomarker for studying drug-induced toxicity effects on cardiac cells. We describe how a surface plasmon resonance (SPR) biosensor was applied to monitor the release of TnT from active HL-1 cardiomyocytes in vitro when exposed to cardiotoxic substances. Two monoclonal human TnT antibodies were compared in the SPR immunosensor to analyse the TnT release. The detection limit of TnT was determined to be 30 ng/ml in a direct assay set-up and to be 10 ng/ml in a sandwich assay format. Exposure of the cardiomyocytes to doxorubicin, troglitazone, quinidine and cobalt chloride for periods of 6 and 24 h gave significant SPR responses, whereas substances with low toxicity showed insignificant effects (ascorbic acid, methotrexate). The SPR results were verified with a validated immunochemiluminescence method which showed a correlation of r (2) = 0.790.

Dynamic peptide-folding mediated biofunctionalization and modulation of hydrogels for 4D bioprinting.

Hydrogels are used in a wide range of biomedical applications, including three-dimensional (3D) cell culture, cell therapy and bioprinting. To enable processing using advanced additive fabrication techniques and to mimic the dynamic nature of the extracellular matrix (ECM), the properties of the hydrogels must be possible to tailor and change over time with high precision. The design of hydrogels that are both structurally and functionally dynamic, while providing necessary mechanical support is challenging using conventional synthesis techniques. Here, we show a modular and 3D printable hydrogel system that combines a robust but tunable covalent bioorthogonal cross-linking strategy with specific peptide-folding mediated interactions for dynamic modulation of cross-linking and functionalization. The hyaluronan-based hydrogels were covalently cross-linked by strain-promoted alkyne-azide cycloaddition using multi-arm poly(ethylene glycol). In addition, a de novo designed helix-loop-helix peptide was conjugated to the hyaluronan backbone to enable specific peptide-folding modulation of cross-linking density and kinetics, and hydrogel functionality. An array of complementary peptides with different functionalities was developed and used as a toolbox for supramolecular tuning of cell-hydrogel interactions and for controlling enzyme-mediated biomineralization processes. The modular peptide system enabled dynamic modifications of the properties of 3D printed structures, demonstrating a novel route for design of more sophisticated bioinks for four-dimensional bioprinting.

A cell-based sensor system for toxicity testing using multiwavelength fluorescence spectroscopy.

A novel cell-based fluorometric sensor system for toxicity monitoring is described, which uses functional spontaneously contracting cardiomyocytes (HL-1 cell line) as the biological recognition element. Based on these highly specialized cells, it has the potential of providing a sensitive and relevant analytical in vitro toxicity testing method. The system was configured by propagating the surface-attaching HL-1 cardiomyocytes in the wells of a 96-well microtiter plate and connecting the plate via an optical fiber to a fluorescence spectrometer capable of excitation-emission matrix scanning. The fluorescence data were analyzed using a conventional spectral analysis software program. The performance of the system for detection of general cytotoxicity to the cells was evaluated using three well-known drugs: verapamil, quinidine, and acetaminophen. The dose-response curves were assessed and the EC(50) values were determined (0.10+/-0.007, 0.23+/-0.025, and 12.32+/-2.40 mM, respectively). Comparison with in vitro and in vivo reference data for the drugs showed good correlations, suggesting that this cell-based sensor system could be a useful tool in pharmacological in vitro drug testing.

Fabrication of a Microfluidic Cell Culture Device Using Photolithographic and Soft Lithographic Techniques.

Photolithography and soft lithography are two common methods for fabrication of microfluidic cell culture devices. Well-defined microstructures are created by exposing a photoresist to UV-light under a photolithographic mask in which the intended patterns are transparent. The subsequent cross-linking of UV-exposed photoresist generates a reusable master that serves as a template for an elastomer, commonly polydimethylsiloxane (PDMS), that reciprocally recaptures the structures of the master in an optically clear and oxygen-permeable rubber-like material. Connections to the cell culture-containing channels of the device for perfusion of culture medium can be established by inserting tubing through the elastomer. In this protocol, the basic steps for making a standard microfluidic device for cell-based assays from photolithography and soft lithography techniques are outlined.

Using a Microfluidic Device for Culture and Drug Toxicity Testing of 3D Cells.

Microfluidic devices provide convenient assays tools for testing cell cultures in three-dimensional (3D) formats. These devices have significant potential for establishing assays that are better at predicting drug toxicity and efficacy effects compared to assays in conventional two-dimensional (2D) cultures. Microfluidic cell culture devices consist of perfused cell culture chambers with inlets and outlet for seeding, culturing, sampling, and assaying the cells. This protocol describes how to prepare and seed cells in a microfluidic cell culture device for drug toxicity testing on cells in a 3D structure. The protocol exemplifies the use of a basic microfluidic device with HepG2 hepatoma cells but can be transferred and optimized for other cells and cell types, including iPSC-derived tissue and organ cells.

Cell-Based Assays Using Differentiated Human Induced Pluripotent Cells.

This chapter describes the requirements and preconditions for using human induced pluripotent cell lines in assay development within the pharmaceutical industry. The joint collaborative effort between academic and pharma partners within the StemBANCC consortium which enabled the implementation of iPSC-derived cellular models for drug discovery is highlighted. This large collaborative scientific network has successfully derived a significant number of well-characterized patient-specific iPSC lines and established disease-relevant cellular assays, both of which are requirements for enabling pharmaceutical companies to develop more efficacious and safer medicines.