Self-assembling peptides induced by eyes absent enzyme to boost the efficacy of doxorubicin therapy in drug-resistant breast cancer cells.

Enzyme-induced self-assembly (EISA) is a recently developed nanotechnology technique in which small molecules are induced by cellular enzymes self-assembling into nanostructures inside cancer cells. This technique can boost the efficacy of chemotherapy drugs by avoiding drug efflux, inhibiting the cells' DNA repair mechanisms, and targeting the mitochondria. In this work, we study the self-assembly of a short peptide and its fluorescence analogue induced by Eyes absent (EYA) tyrosine phosphatases to boost the efficacy of doxorubicin (DOX) therapy in drug-resistant types of breast cancer cells, MDA-MB-231 and MCF-7. The peptides Fmoc-FF-YP and NBD-FF-YP were synthesized with the solid-phase peptide synthesis (SPPS) method and analyzed with HPLC and MALDI-TOF. Dynamic light scattering was used to determine the size distribution of peptides exposed to the EYA enzyme in vitro. The presence of EYA enzymes in breast cancer cells was confirmed using the western blotting assay. The intracellular location of the peptide self-assembly was studied by imaging fluorescence NBD-tagged peptides. The efficacy of the peptide alone and with DOX was determined against MCF-7 and MDA-MB-231 using MTT and LIVE-DEAD assays. Nucleus and cytoplasm F-actin (Phalloidin) staining was used to determine cell morphology changes in response to the combination therapy of peptides/DOX. At an optimal concentration, the peptides are not toxic to the cells; however, they boost the efficacy of DOX against drug-resistant breast cancer cells. We used state-of-the-art computer-aided techniques to predict the molecular structure of peptides and their interactions with EYA. This study demonstrates an approach for incorporating non-cytotoxic components into DOX combination therapy, thereby avoiding increased systemic burden or adverse effects.

Suppression of the antitumoral activity of natural killer cells under indirect coculture with cancer-associated fibroblasts in a pancreatic TIME-on-chip model.

BACKGROUND: Recently, natural killer (NK) cells emerged as a treatment option for various solid tumors. However, the immunosuppressive tumor immune microenvironment (TIME) can reduce the cytotoxic ability of NK cells in pancreatic ductal adenocarcinoma. Cancer-associated fibroblasts within the tumor stroma can suppress immune surveillance by dysregulating factors involved in the cellular activity of NK cells. Herein, the effect of activated pancreatic stellate cells (aPSCs) on NK cell-mediated anticancer efficacy under three-dimensional (3D) coculture conditions was investigated. METHODS: 3D cocultures of PANC-1 tumor spheroids (TSs) with aPSCs and NK-92 cells in a collagen matrix were optimized to identify the occurring cellular interactions and differential cytokine profiles in conditioned media using microchannel chips. PANC-1 TSs and aPSCs were indirectly cocultured, whereas NK-92 cells were allowed to infiltrate the TS channel using convective medium flow. RESULTS: Coculture with aPSCs promoted PANC-1 TSs growth and suppressed the antitumor cytotoxic effects of NK-92 cells. Mutual inhibition of cellular activity without compromising migration ability was observed between aPSCs and NK-92 cells. Moreover, the reduced killing activity of NK-92 cells was found to be related with reduced granzyme B expression in NK cells. CONCLUSIONS: Herein, a novel TIME-on-chip model based on the coculture of PANC-1 TSs, aPSCs, and NK-92 cells was described. This model may be useful for studying the detailed mechanisms underlying NK cells dysregulation and for exploring future therapeutic interventions to restore NK cell activity in the tumor microenvironment.

Effect of paclitaxel priming on doxorubicin penetration in a multicellular layer model of human colorectal cancer cells.

Tumor priming is considered a promising strategy for improving drug distribution in malignant tissues. Multicellular layers (MCLs) of human cancer cells are potentially useful models for evaluating tumor-priming agents. We evaluated the priming effects of paclitaxel (PTX) on doxorubicin (DOX) penetration using MCLs of the human colorectal cancer cell lines including DLD-1, HCT-116, and HT-29. The penetration of DOX treated at 50 µM for 3 h was highly limited in all three MCLs. The penetration of the priming agent PTX into MCLs was determined using rhodamine-labeled PTX and appeared to be cell line-dependent: full penetration was observed in HCT-116 and HT-29 MCLs, whereas only limited penetration occurred in DLD-1 MCLs. PTX pretreatment at 20 µM for 24 or 48 h induced a tumor-priming effect in DOX distribution, with a 3 to 5.6-fold-increase in HCT-116 and HT-29 MCLs but a less than two-fold increase in DLD-1 MCLs. PTX treatment decreased fibronectin expression in HCT-116 and HT-29 MCLs but not in DLD-1, suggesting that the prominent priming effect of PTX in HCT-116 and HT-29 MCLs may be associated with the downregulation of fibronectin expression. Our study demonstrated that MCLs of human cancer cells are a useful model not only for the study of drug penetration into tumor tissues but also for screening and evaluating tumor-priming agents.

Establishment of ion channel and ABC transporter assays in 3D-cultured ReNcell VM on a 384-pillar plate for neurotoxicity potential.

Neurotoxicity potential of compounds by inhibition of ion channels and efflux transporters has been studied traditionally using two-dimensionally (2D) cultured cell lines such as CHO and HEK-293 overexpressing the protein of interest. However, these approaches are time consuming and do not recapitulate the activity of ion channels and efflux transporters indigenously expressed in neural stem cells (NSCs) in vivo. To overcome these issues, we established ion channel and transporter assays on a 384-pillar plate with three-dimensionally (3D) cultured ReNcell VM and demonstrated high-throughput measurement of ion channel and transporter activity. RNA sequencing analysis identified major ion channels and efflux transporters expressed in ReNcell VM, followed by validating 3D ReNcell-based ion channel and transporter assays with model compounds. Major ion channel activities were measured by specifically inhibiting potassium channels Kv 7.2 with XE-991 and Kv 4.3 with fluoxetine, and a calcium channel with 2-APB. Activities of major efflux transporters, MDR1, MRP1, and BCRP, were assessed using their respective blockers, verapamil, probenecid, and novobiocin. From this study, we demonstrated that 3D-cultured ReNcell VM on the 384-pillar plate could be a good alternative to rapidly identify environmental chemicals and therapeutic compounds for their role in modulating the activity of ion channels and efflux transporters, potentially leading to neurotoxicity.

High-throughput multiplex assays with mouse macrophages on pillar plate platforms.

It is challenging to rapidly identify immune responses that reflect the state and capability of immune cells due to complex heterogeneity of immune cells and their plasticity to pathogens and modulating molecules. Thus, high-throughput and easy-to-use cell culture and analysis platforms are highly desired for characterizing complex immune responses and elucidating their underlying mechanisms as well. In response to this need, we have developed a micropillar chip and a 384-pillar plate, printed mouse macrophage, RAW 264.7 cell line in alginate on the pillar plate platforms, and established multiplex cell-based assays to rapidly measure cell viability, expression of cell surface markers, and secretion of cytokines upon stimulation with model compound, lipopolysaccharide (LPS), as well as synthetic N-glycan polymers that mimic native glycoconjugates and could bind to lectin receptors on RAW 264.7 cells. Interestingly, changes in RAW 264.7 cell viability, expression levels of cell surface makers, and release of cytokines measured from the pillar plate platforms in the presence and absence of LPS were well correlated with those obtained from their counterpart, the 96-well plate with 2D-cultured macrophages. With this approach, we identified that α2,3-linked N-sialyllactose polymer has significant macrophage modulation activity among the N-glycan polymers tested. Therefore, we successfully demonstrated that our pillar plate platforms with 3D-cultured macrophages can streamline immune cell imaging and analysis in high throughput in response to compound stimulation. We envision that the pillar plate platforms could potentially be used for rapid characterization of immune cell responses and for screening immune cell-modulating molecules.

High-Throughput Assessment of Mechanistic Toxicity of Chemicals in Miniaturized 3D Cell Culture.

High-content imaging (HCI) assays on two-dimensional (2D) cell cultures often do not represent in vivo characteristics accurately, thus reducing the predictability of drug toxicity/efficacy in vivo. On the other hand, conventional 3D cell cultures are relatively low throughput and possess difficulty in cell imaging. To address these limitations, a miniaturized 3D cell culture has been developed on a micropillar/microwell chip platform with human cells encapsulated in biomimetic hydrogels. Model compounds are used to validate human cell microarrays for high-throughput assessment of mechanistic toxicity. Main mechanisms of toxicity of compounds can be investigated by analyzing multiple parameters such as DNA damage, mitochondrial impairment, intracellular glutathione level, and cell membrane integrity. IC50 values of these parameters can be determined and compared for the compounds to investigate the main mechanism of toxicity. This paper describes miniaturized HCI assays on 3D-cultured cell microarrays for high-throughput assessment of mechanistic profiles of compound-induced toxicity. © 2018 by John Wiley & Sons, Inc.

Polymer coating on a micropillar chip for robust attachment of PuraMatrix peptide hydrogel for 3D hepatic cell culture.

For better mimicking tissues in vivo and developing predictive cell models for high-throughput screening (HTS) of potential drug candidates, three-dimensional (3D) cell cultures have been performed in various hydrogels. In this study, we have investigated several polymer coating materials to robustly attach PuraMatrix peptide hydrogel on a micropillar chip for 3D culture of Hep3B human hepatic cells, which can be used as a tool for high-throughput assessment of compound hepatotoxicity. Among several amphiphilic polymers with maleic anhydride groups tested, 0.01% (w/v) poly(maleic anhydride-alt-1-octadecene) (PMA-OD) provided superior coating properties with no PuraMatrix spot detachment from the micropillar chip and no air bubble entrapment in a complementary microwell chip. To maintain Hep3B cell viability in PuraMatrix gel on the chip, gelation conditions were optimized in the presence of additional salts, at different seeding densities, and for growth medium washes. As a result, salts in growth media were sufficient for gelation, and relatively high cell seeding at 6 million cells/mL and two media washes for pH neutralization were required. With optimized 3D cell culture conditions, controlled gene expression and compound toxicity assessment were successfully demonstrated by using recombinant adenoviruses carrying genes for green and red fluorescent proteins as well as six model compounds. Overall, PuraMatrix hydrogel on the chip was suitable for 3D cell encapsulation, gene expression, and rapid toxicity assessment.

High-content imaging assays on a miniaturized 3D cell culture platform.

The majority of high-content imaging (HCI) assays have been performed on two-dimensional (2D) cell monolayers for its convenience and throughput. However, 2D-cultured cell models often do not represent the in vivo characteristics accurately and therefore reduce the predictability of drug toxicity/efficacy in vivo. Recently, three-dimensional (3D) cell-based HCI assays have been demonstrated to improve predictability, but its use is limited due to difficulty in maneuverability and low throughput in cell imaging. To alleviate these issues, we have developed miniaturized 3D cell culture on a micropillar/microwell chip and demonstrated high-throughput HCI assays for mechanistic toxicity. Briefly, Hep3B human hepatoma cell line was encapsulated in a mixture of alginate and fibrin gel on the micropillar chip, cultured in 3D, and exposed to six model compounds in the microwell chip for rapidly assessing mechanistic hepatotoxicity. Several toxicity parameters, including DNA damage, mitochondrial impairment, intracellular glutathione level, and cell membrane integrity were measured on the chip, and the IC50 values of the compounds at different readouts were determined to investigate the mechanism of toxicity. Overall, the Z' factors were between 0.6 and 0.8 for the HCI assays, and the coefficient of variation (CV) were below 20%. These results indicate high robustness and reproducibility of the HCI assays established on the miniaturized 3D cell culture chip. In addition, it was possible to determine the predominant mechanism of toxicity using the 3D HCI assays. Therefore, our miniaturized 3D cell culture coupled with HCI assays has great potential for high-throughput screening (HTS) of compounds and mechanistic toxicity profiling.

Pitch-tunable pillar arrays for high-throughput culture and immunohistological analysis of tumor spheroids.

Tumor spheroids are multicellular, three-dimensional (3D) cell culture models closely mimicking the microenvironments of human tumors in vivo, thereby providing enhanced predictability, clinical relevancy of drug efficacy and the mechanism of action. Conventional confocal microscopic imaging remains inappropriate for immunohistological analysis due to current technical limits in immunostaining using antibodies and imaging cells grown in 3D multicellular contexts. Preparation of microsections of these spheroids represents a best alternative, yet their sub-millimeter size and fragility make it less practical for high-throughput screening. To address these problems, we developed a pitch-tunable 5 × 5 mini-pillar array chip for culturing and sectioning tumor spheroids in a high throughput manner. Tumor spheroids were 3D cultured in an alginate matrix using a twenty-five mini-pillar array which aligns to a 96-well. At least a few tens of spheroids per pillar were cultured and as many as 25 different treatment conditions per chip were evaluated, which indicated the high throughput manner of the 5 × 5 pillar array chip. The twenty-five mini-pillars were then rearranged to a transferring pitch so that spheroid-containing gel caps from all pillars can be embedded into a specimen block. Tissue array sections were then prepared and stained for immunohistological examination. The utility of this pitch-tunable pillar array was demonstrated by evaluating drug distribution and expression levels of several proteins following drug treatment in 3D tumor spheroids. Overall, our mini-pillar array provides a novel platform that can be useful for culturing tumor spheroids as well as for immunohistological analysis in a multiplexed and high throughput manner.

Prediction of metabolism-induced hepatotoxicity on three-dimensional hepatic cell culture and enzyme microarrays.

Human liver contains various oxidative and conjugative enzymes that can convert nontoxic parent compounds to toxic metabolites or, conversely, toxic parent compounds to nontoxic metabolites. Unlike primary hepatocytes, which contain myriad drug-metabolizing enzymes (DMEs), but are difficult to culture and maintain physiological levels of DMEs, immortalized hepatic cell lines used in predictive toxicity assays are easy to culture, but lack the ability to metabolize compounds. To address this limitation and predict metabolism-induced hepatotoxicity in high-throughput, we developed an advanced miniaturized three-dimensional (3D) cell culture array (DataChip 2.0) and an advanced metabolizing enzyme microarray (MetaChip 2.0). The DataChip is a functionalized micropillar chip that supports the Hep3B human hepatoma cell line in a 3D microarray format. The MetaChip is a microwell chip containing immobilized DMEs found in the human liver. As a proof of concept for generating compound metabolites in situ on the chip and rapidly assessing their toxicity, 22 model compounds were dispensed into the MetaChip and sandwiched with the DataChip. The IC50 values obtained from the chip platform were correlated with rat LD50 values, human C max values, and drug-induced liver injury categories to predict adverse drug reactions in vivo. As a result, the platform had 100% sensitivity, 86% specificity, and 93% overall predictivity at optimum cutoffs of IC50 and C max values. Therefore, the DataChip/MetaChip platform could be used as a high-throughput, early stage, microscale alternative to conventional in vitro multi-well plate platforms and provide a rapid and inexpensive assessment of metabolism-induced toxicity at early phases of drug development.

Pediatric glioblastoma cells inhibit neurogenesis and promote astrogenesis, phenotypic transformation and migration of human neural progenitor cells within cocultures.

Neural progenitor cell (NPC) fate is influenced by a variety of biological cues elicited from the surrounding microenvironment and recent studies suggest their possible role in pediatric glioblastoma multiforme (GBM) development. Since a few GBM cells also display NPC characteristics, it is not clear whether NPCs transform to tumor cell phenotype leading to the onset of GBM formation, or NPCs migrate to developing tumor sites in response to paracrine signaling from GBM cells. Elucidating the paracrine interactions between GBM cells and NPCs in vivo is challenging due to the inherent complexity of the CNS. Here, we investigated the interactions between human NPCs (ReNcell) and human pediatric GBM-derived cells (SJ-GBM2) using a Transwell® coculture setup to assess the effects of GBM cells on ReNcells (cytokine and chemokine release, viability, phenotype, differentiation, migration). Standalone ReNcell or GBM cultures served as controls. Qualitative and quantitative results from ELISA®, Live/Dead® and BrdU assays, immunofluorescence labeling, western blot analysis, and scratch test suggests that although ReNcell viability remained unaffected in the presence of pediatric GBM cells, their morphology, phenotype, differentiation patterns, neurite outgrowth, migration patterns (average speed, distance, number of cells) and GSK-3ß expression were significantly influenced. The cumulative distance migrated by the cells in each condition was fit to Furth's formula, derived formally from Ornstein-Uhlenbeck process. ReNcell differentiation into neural lineage was compromised and astrogenesis promoted within cocultures. Such coculture platform could be extended to identify the specific molecules contributing to the observed phenomena, to investigate whether NPCs could be transplanted to replace lesions of excised tumor sites, and to elucidate the underlying molecular pathways involved in GBM-NPC interactions within the tumor microenvironment.

Deconvolution of images from 3D printed cells in layers on a chip.

Layer-by-layer cell printing is useful in mimicking layered tissue structures inside the human body and has great potential for being a promising tool in the field of tissue engineering, regenerative medicine, and drug discovery. However, imaging human cells cultured in multiple hydrogel layers in 3D-printed tissue constructs is challenging as the cells are not in a single focal plane. Although confocal microscopy could be a potential solution for this issue, it compromises the throughput which is a key factor in rapidly screening drug efficacy and toxicity in pharmaceutical industries. With epifluorescence microscopy, the throughput can be maintained at a cost of blurred cell images from printed tissue constructs. To rapidly acquire in-focus cell images from bioprinted tissues using an epifluorescence microscope, we created two layers of Hep3B human hepatoma cells by printing green and red fluorescently labeled Hep3B cells encapsulated in two alginate layers in a microwell chip. In-focus fluorescent cell images were obtained in high throughput using an automated epifluorescence microscopy coupled with image analysis algorithms, including three deconvolution methods in combination with three kernel estimation methods, generating a total of nine deconvolution paths. As a result, a combination of Inter-Level Intra-Level Deconvolution (ILILD) algorithm and Richardson-Lucy (RL) kernel estimation proved to be highly useful in bringing out-of-focus cell images into focus, thus rapidly yielding more sensitive and accurate fluorescence reading from the cells in different layers. © 2017 American Institute of Chemical Engineers Biotechnol. Prog., 34:445-454, 2018.

Estimation of bisphenol A-Human toxicity by 3D cell culture arrays, high throughput alternatives to animal tests.

Bisphenol A (BPA) has been widely used for manufacturing polycarbonate plastics and epoxy resins and has been extensively tested in animals to predict human toxicity. In order to reduce the use of animals for toxicity assessment and provide further accurate information on BPA toxicity in humans, we encapsulated Hep3B human hepatoma cells in alginate and cultured them in three dimensions (3D) on a micropillar chip coupled to a panel of metabolic enzymes on a microwell chip. As a result, we were able to assess the toxicity of BPA under various metabolic enzyme conditions using a high-throughput and micro assay; sample volumes were nearly 2,000 times less than that required for a 96-well plate. We applied a total of 28 different enzymes to each chip, including 10 cytochrome P450s (CYP450s), 10 UDP-glycosyltransferases (UGTs), 3 sulfotransferases (SULTs), alcohol dehydrogenase (ADH), and aldehyde dehydrogenase 2 (ALDH2). Phase I enzyme mixtures, phase II enzyme mixtures, and a combination of phase I and phase II enzymes were also applied to the chip. BPA toxicity was higher in samples containing CYP2E1 than controls, which contained no enzymes (IC50, 184±16µM and 270±25.8µM, respectively, p<0.01). However, BPA-induced toxicity was alleviated in the presence of ADH (IC50, 337±17.9µM), ALDH2 (335±13.9µM), and SULT1E1 (318±17.7µM) (p<0.05). CYP2E1-mediated cytotoxicity was confirmed by quantifying unmetabolized BPA using HPLC/FD. Therefore, we suggest the present micropillar/microwell chip platform as an effective alternative to animal testing for estimating BPA toxicity via human metabolic systems.

Mini-pillar array for hydrogel-supported 3D culture and high-content histologic analysis of human tumor spheroids.

Three-dimensional (3D) cancer cell culture models mimic the complex 3D organization and microenvironment of human solid tumor tissue and are thus considered as highly predictive models representing avascular tumor regions. Confocal laser scanning microscopy is useful for monitoring drug penetration and therapeutic responses in 3D tumor models; however, photonic attenuation at increasing imaging depths and limited penetration of common fluorescence tracers are significant technical challenges to imaging. Immunohistological staining would be a good alternative, but the preparation of tissue sections from rather fragile spheroids through fixing and embedding procedures is challenging. Here we introduce a novel 3 × 3 mini-pillar array chip that can be utilized for 3D cell culturing and sectioning for high-content histologic analysis. The mini-pillar array chip facilitated the generation of 3D spheroids of human cancer cells within hydrogels such as alginate, collagen, and Matrigel. As expected, visualization of the 3D distribution of calcein AM and doxorubicin by optical sectioning was limited by photonic attenuation and dye penetration. The integrity of the 3D microtissue section was confirmed by immunostaining on paraffin sections and cryo-sections. The applicability of the mini-pillar array for drug activity evaluation was tested by measuring viability changes in spheroids exposed to anti-cancer agents, 5-fluorouracil and tirapazamine. Thus, our novel mini-pillar array platform can potentially promote high-content histologic analysis of 3D cultures and can be further optimized for field-specific needs.

Automatic 3D Cell Analysis in High-Throughput Microarray Using Micropillar and Microwell Chips.

Area-based and intensity-based 3D cell viability measurement methods are compared in high-throughput screening in order to analyze their effects on the assay results (doubling time and IC50) and their repeatability. Many other 3D cell-based high-throughput screening platforms had been previously introduced, but these had not clearly addressed the effects of the two methods on the assay results and assay repeatability. In this study, the optimal way to analyze 3D cultured cells is achieved by comparing day-to-day data of doubling times and IC50 values obtained from the two methods. In experiments, the U251 cell line is grown in chips. The doubling time, based on the area of the 3D cells, was 27.8 ± 1.8 h (standard deviation: 6.6%) and 27.8 ± 3.8 h (standard deviation: 13.7%) based on the intensity of the 3D cells. The doubling time calculated by area shows a smaller standard deviation than one calculated by intensity. IC50 values calculated by both methods are very similar. The standard deviations of IC50 values for the two methods were within ± 3-fold. The IC50 variations of the 12 compounds were similar regardless of the viability measurement methods and were highly related to the shape of the dose-response curves.

High-throughput, miniaturized clonogenic analysis of a limiting dilution assay on a micropillar/microwell chip with brain tumor cells.

The limiting dilution assay (LDA) is a clonogenic drug efficacy test designed to determine a value for drug efficacy based on an all-or-none (positive or negative) response within replicates. It also attempts to calculate minimum cell numbers for cells to form colony in each drugged conditions, wherein a large value implies high drug efficacy (as a large number of extant cells are required to start a colony). However, traditional LDAs are time-consuming to set up, often requiring many replicates for statistical analysis, and manual colony identification under a microscope to determine a positive or negative response is tedious and is susceptible to human error. To address these issues, a high-throughput miniaturized LDA assay is developed using a micropillar/microwell chip platform using an automatic colony identification method. Three glioblastoma multiforme (GBM) brain tumor isolates (448T, 464T, and 775T) are used to test this new assay, using the c-Met kinase inhibitors SU11274 and PHA665752 as the target drugs. The results show that the minimum cell number of 775T is larger than that of the other two cell types (SU11274 and PHA665752) in both the sampled drugs, a result that is in good agreement with the results of previous conventional experiments using 96 well plates.

High-throughput and combinatorial gene expression on a chip for metabolism-induced toxicology screening.

Differential expression of various drug-metabolizing enzymes (DMEs) in the human liver may cause deviations of pharmacokinetic profiles, resulting in interindividual variability of drug toxicity and/or efficacy. Here, we present the 'Transfected Enzyme and Metabolism Chip' (TeamChip), which predicts potential metabolism-induced drug or drug-candidate toxicity. The TeamChip is prepared by delivering genes into miniaturized three-dimensional cellular microarrays on a micropillar chip using recombinant adenoviruses in a complementary microwell chip. The device enables users to manipulate the expression of individual and multiple human metabolizing-enzyme genes (such as CYP3A4, CYP2D6, CYP2C9, CYP1A2, CYP2E1 and UGT1A4) in THLE-2 cell microarrays. To identify specific enzymes involved in drug detoxification, we created 84 combinations of metabolic-gene expressions in a combinatorial fashion on a single microarray. Thus, the TeamChip platform can provide critical information necessary for evaluating metabolism-induced toxicity in a high-throughput manner.

Application of the DataChip/MetaChip technology for the evaluation of ajoene toxicity in vitro.

The DataChip is a universal platform for three-dimensional (3D) cell cultures on a micropillar chip, which can be applicable to a variety of human cells to simulate organ-specific toxicity. In addition, the MetaChip is developed for various combinations of drug metabolizing enzymes that can be spotted into the microwell chip and incubated with 3D human cells to simulate systematic compound metabolism in the human liver on a microscale format. Ajoenes have been known for various therapeutics activities, including anticancer effects, but there was limited information available in regard to their metabolism and cytotoxicity. In the present work, the metabolism-mediated toxicity of ajoenes was evaluated on a DataChip/MetaChip platform. In detail, we tested cytotoxicity of E- and Z-ajoene on 3D cultured Hep3B human hepatoma cells coupled with mixtures of drug metabolizing enzymes. Metabolic profiles of ajoenes were assessed with 23 representative drug metabolizing enzymes on the MetaChip. As a result, cytotoxicity of E-ajoene was significantly augmented in the presence of cytochrome P450 (CYP) isoforms, such as CYP2E1 and CYP3A5. Both E- and Z-ajoene were drastically detoxified in the presence of Phase II enzymes, including major UGTs, SULTs, NATs, and GSTs. Interestingly, All Mix, an artificial human liver microsome containing representative P450 mixture and phase II enzyme mixture, attenuated P450-induced cytotoxicity of ajoenes. Conclusively, we were able to confirm the metabolism-medicated toxicity of ajoenes on the chip.

High-throughput screening (HTS) of anticancer drug efficacy on a micropillar/microwell chip platform.

Contemporary cancer therapy refers to treatment based on genetic abnormalities found in patient's tumor. However, this approach is faced with numerous challenges, including tumor heterogeneity and molecular evolution, insufficient tumor samples available along with genetic information linking to clinical outcomes, lack of therapeutic drugs containing pharmacogenomic information, and technical limitations of rapid drug efficacy tests with insufficient quantities of primary cancer cells from patients. To address these problems and improve clinical outcomes of current personalized gene-targeted cancer therapy, we have developed a micropillar/microwell chip platform, which is ideally suited for encapsulating primary cancer cells in nanoscale spots of hydrogels on the chip, generating efficacy data with various drugs, eventually allowing for a comparison of the in vitro data obtained from the chip with clinical data as well as gene expression data. As a proof of concept in this study, we have encapsulated a U251 brain cancer cell line and three primary brain cancer cells from patients (448T, 464T, and 775T) in 30 nL droplets of alginate and then tested the therapeutic efficacy of 24 anticancer drugs by measuring their dose responses. As a result, the IC50 values of 24 anticancer drugs obtained from the brain cancer cells clearly showed patient cell-specific efficacy, some of which were well-correlated with their oncogene overexpression (c-Met and FGFR1) as well as the in vivo previous results of the mouse xenograft model with the three primary brain cancer cells.

Gene delivery in three-dimensional cell cultures by superparamagnetic nanoparticles.

Three-dimensional (3D) cellular assays closely mimic the in vivo milieu, providing a rapid, inexpensive system for screening drug candidates for toxicity or efficacy in the early stages of drug discovery. However, 3D culture systems may suffer from mass transfer limitations, particularly in delivery of large polypeptide or nucleic acid compounds. Nucleic acids (e.g., genes, silencing RNA) are of particular interest both as potential therapeutics and due to a desire to modulate the gene-expression patterns of cells exposed to small-molecule pharmacological agents. In the present study, polyethylenimine (PEI)-coated superparamagnetic nanoparticles (SPMNs) were designed to deliver interfering RNA and green fluorescent protein (GFP) plasmids through a collagen-gel matrix into 3D cell cultures driven by an external magnetic field. The highest transfection efficiency achieved was 64% for siRNA and 77% for GFP plasmids. Delivery of an shRNA plasmid against GFP by PEI-coated SPMNs silenced the GFP expression with 82% efficiency. We further demonstrated that this delivery approach could be used for screening interfering RNA constructs for therapeutic or toxic effects for cells grown in 3D cultures. Four known toxic shRNA plasmids were delivered by PEI-coated SPMNs into 3D cell cultures, and significant toxicities (41-51% cell death) were obtained.