Hybrid Graphene-Gold Nanoparticle-based Nucleic Acid Conjugates for Cancer-Specific Multimodal Imaging and Combined Therapeutics.

Nanoparticle-based nucleic acid conjugates (NP-NACs) hold great promise for theragnostic (diagnostic and therapeutic) applications. However, several limitations have hindered the realization of their full potential in the clinical treatment of cancer and other diseases. In diagnosis, NP-NACs, combined with conventional optical sensing systems, have been applied for cancer detection in vitro, but low signal-to-noise ratios limit their broad in vivo applications. Meanwhile, the efficiency of NP-NAC-mediated cancer therapies has been limited through the adaptation of alternative pro-survival pathways in cancer cells. The recent emergence of personalized and precision medicine has outlined the importance of both accurate diagnosis and efficient therapeutics in a single platform. As such, we report the controlled assembly of hybrid graphene oxide/gold nanoparticle-based cancer-specific NACs (Au@GO NP-NACs) for multimodal imaging and combined therapeutics. Our developed Au@GO NP-NACs shows excellent surface-enhanced Raman scattering (SERS)-mediated live-cell cancer detection and multimodal synergistic cancer therapy through the use of photothermal, genetic, and chemotherapeutic strategies. Synergistic and selective killing of cancer cells were then demonstrated by using in vitro microfluidic models and nine different cancer cell lines by further incorporating near-infrared photothermal hyperthermia, a Topoisomerase II anti-cancer drug, and cancer targeting peptides. Moreover, with distinctive advantages of the Au@GO NP-NACs for cancer theragnostics, we further demonstrated precision cancer treatment through the detection of cancer cells in vivo using SERS followed by efficient ablation of the tumor. Therefore, our Au@GO NP-NACs could pave a new road for the advanced theragnostics of cancer as well as many other diseases.

A microfluidic gradient device for drug screening with human iPSC-derived motoneurons.

We developed a microfluidic gradient device to utilize as a drug screening system with human induced pluripotent stem cell (hiPSC)-derived motoneurons. The microfluidic channel was asymmetrically designed to generate the concentration gradients and a micropillar array was used to trap and culture the motoneuron spheroids containing motoneurons for 9 days. We optimized the concentration gradients in the microfluidic device using a computational fluid dynamics (CFD) model. We also observed that the motoneuron spheroid-derived neurite network was generated in response to the concentration gradients of riluzole in the microfluidic device. Therefore, this microfluidic gradient device could be useful for screening of various drugs for neurological disease applications.

Micropillar-based microfluidic device to regulate neurite networks of uniform-sized neurospheres.

The inability of neurons to undergo mitosis renders damage to the central or peripheral nervous system. Neural stem cell therapy could provide a path for treating the neurodegenerative diseases. However, reliable and simple tools for the developing and testing neural stem cell therapy are still required. Here, we show the development of a micropillar-based microfluidic device to trap the uniform-sized neurospheres. The neurospheres trapped within micropillar arrays were largely differentiated into neuronal cells, and their neurite networks were observed in the microfluidic device. Compared to conventional cultures on glass slides, the neurite networks generated with this method have a higher reproducibility. Furthermore, we demonstrated the effect of thapsigargin on the neurite networks in the microfluidic device, demonstrating that neural networks exposed to thapsigargin were largely diminished and disconnected from each other. Therefore, this micropillar-based microfluidic device could be a potential tool for screening of neurotoxins.

Continuous separation of fungal spores in a microfluidic flow focusing device.

The research of fungi is of great importance in a number of fields, such as environmental and healthcare studies. While there are a large number of optical and molecular methods available for characterization and identification of fungi and their spores, their isolation is still conducted using slow and labor-intensive methods. Here, we develop a microfluidic device for the continuous separation of fungal spores from other eukaryotic cells. The spores were separated through the microfluidic device by expanding pinched flow fractionation (PFF) containing the spores, achieving a spatial separation perpendicular to the flow direction according to the spore size. Further branch flow fractionation (BFF) and co-flow of a Newtonian and viscoelastic fluid were used to enhance the separation performance. Using this microfluidic device, we demonstrated the separation of two different types of fungal spores and further separation of fungal spores from eukaryotic cells with a separation efficiency of above 90%. Compared to the existing conventional methods, our microfluidic flow focusing device requires little manual handling and uses small amounts of samples without any pre-treatment steps of the samples.

Circular-shaped microfluidic device to study the effect of shear stress on cellular orientation.

Understanding the effects of shear stress on mammalian cells is a crucial factor for understanding a number of biological processes and diseases. Here, we show the development of a circular-shaped microfluidic device for the facile generation of shear stress gradients. With this microfluidic device, the effect of shear stress on orientation of human umbilical vein endothelial cells was studied. This microfluidic device, which enables to control the alignment of human umbilical vein endothelial cells within a microchannel, can be a valuable tool to mimic blood vessels.

Prediction analysis and quality assessment of microwell array images.

Microwell arrays are widely used for the analysis of fluorescent-labelled biomaterials. For rapid detection and automated analysis of microwell arrays, the computational image analysis is required. Support Vector Machines (SVM) can be used for this task. Here, we present a SVM-based approach for the analysis of microwell arrays consisting of three distinct steps: labeling, training for feature selection, and classification into three classes. The three classes are filled, partially filled, and unfilled microwells. Next, the partially filled wells are analyzed by SVM and their tendency towards filled or unfilled tested through applying a Gaussian filter. Through this, all microwells can be categorized as either filled or unfilled by our algorithm. Therefore, this SVM-based computational image analysis allows for an accurate and simple classification of microwell arrays.

Uniform-sized neurosphere-mediated motoneuron differentiation in microwell arrays.

We developed the photocrosslinkable hydrogel microwell arrays for uniform-sized neurosphere-mediated motoneuron differentiation. Neural stem cells (NSCs) were obtained from embryonic cerebral cortex and spinal cord. To generate uniform-sized neurospheres in a homogeneous manner, the dissociated cells were cultured in the hydrogel microwell arrays for 3 days. Uniform-sized neurospheres harvested from microwell arrays were replated into laminin-coated substrate. In parallel, uniform-sized neurospheres cultured in microwell arrays were encapsulated by photocrosslinkable gelatin methacrylate hydrogels in a three-dimensional manner. We demonstrated the effect of hydrogel microwell sizes (e.g., 50, 100, 150 µm in diameter) on motoneuron differentiation, showing that the largest uniform-sized neurospheres derived from embryonic spinal cord efficiently differentiated into motoneurons. Therefore, this hydrogel microwell array could be a powerful array to regulate the uniform-sized neurosphere-mediated motoneuron differentiation.

Hydrogel microfluidic co-culture device for photothermal therapy and cancer migration.

We developed the photo-crosslinkable hydrogel microfluidic co-culture device to study photothermal therapy and cancer cell migration. To culture MCF7 human breast carcinoma cells and metastatic U87MG human glioblastoma in the microfluidic device, we used 10 w/v% gelatin methacrylate (GelMA) hydrogels as a semi-permeable physical barrier. We demonstrated the effect of gold nanorod on photothermal therapy of cancer cells in the microfluidic co-culture device. Interestingly, we observed that metastatic U87MG human glioblastoma largely migrated toward vascular endothelial growth factor (VEGF)-treated GelMA hydrogel-embedding microchannels. The main advantage of this hydrogel microfluidic co-culture device is to simultaneously analyze the physiological migration behaviors of two cancer cells with different physiochemical motilities and study gold nanorod-mediated photothermal therapy effect. Therefore, this hydrogel microfluidic co-culture device could be a potentially powerful tool for photothermal therapy and cancer cell migration applications.

Analysis of 3D multi-layer microfluidic gradient generator.

We developed a three-dimensional (3D) simple multi-layer microfluidic gradient generator to create molecular gradients on the centimeter scale with a wide range of flow rates. To create the concentration gradients, a main channel (MC) was orthogonally intersected with vertical side microchannel (SC) in a 3D multi-layer microfluidic device. Through sequential dilution from the SC, a spatial gradient was generated in the MC. Two theoretical models were created to assist in the design of the 3D multi-layer microfluidic gradient generator and to compare its performance against a two-dimensional equivalent. A first mass balance model was used to predict the steady-state concentrations reached, while a second computational fluid dynamic model was employed to predict spatial development of the gradient by considering convective as well as diffusive mass transport. Furthermore, the theoretical simulations were verified through experiments to create molecular gradients in a 3D multi-layer microfluidic gradient generator.

Reduced Graphene Oxide Nanosheet for Chemo-photothermal Therapy.

The protein-functionalized reduced graphene oxide (rGO) nanosheet is of great interest in stimuli-responsive drug delivery and controlled release applications. We developed doxorubicin (DOX)-loaded bovine serum albumin (BSA)-functionalized rGO (DOX-BSA-rGO) nanosheets. To investigate the reduction of BSA-functionalized GO nanosheets and drug loading efficiency, we used X-ray photoelectron spectroscopy (XPS) and UV-visible spectrophotometer analysis. DOX-BSA-rGO nanosheets exhibited dose-dependent cellular uptake without any cytotoxic effect. We also demonstrated near-infrared (NIR)-induced chemo-photothermal therapy of brain tumor cells treated with DOX-BSA-rGO nanosheets. Therefore, this DOX-BSA-rGO nanosheet could be a powerful tool for chemo-photothermal therapy applications.

Photo-crosslinkable hydrogel-based 3D microfluidic culture device.

We developed the photo-crosslinkable hydrogel-based 3D microfluidic device to culture neural stem cells (NSCs) and tumors. The photo-crosslinkable gelatin methacrylate (GelMA) polymer was used as a physical barrier in the microfluidic device and collagen type I gel was employed to culture NSCs in a 3D manner. We demonstrated that the pore size was inversely proportional to concentrations of GelMA hydrogels, showing the pore sizes of 5 and 25 w/v% GelMA hydrogels were 34 and 4 µm, respectively. It also revealed that the morphology of pores in 5 w/v% GelMA hydrogels was elliptical shape, whereas we observed circular-shaped pores in 25 w/v% GelMA hydrogels. To culture NSCs and tumors in the 3D microfluidic device, we investigated the molecular diffusion properties across GelMA hydrogels, indicating that 25 w/v% GelMA hydrogels inhibited the molecular diffusion for 6 days in the 3D microfluidic device. In contrast, the chemicals were diffused in 5 w/v% GelMA hydrogels. Finally, we cultured NSCs and tumors in the hydrogel-based 3D microfluidic device, showing that 53-75% NSCs differentiated into neurons, while tumors were cultured in the collagen gels. Therefore, this photo-crosslinkable hydrogel-based 3D microfluidic culture device could be a potentially powerful tool for regenerative tissue engineering applications.

Concave microwell array-mediated three-dimensional tumor model for screening anticancer drug-loaded nanoparticles.

We investigated the effect of anticancer drug-loaded functional polymeric nanoparticles on drug resistance of three-dimensional (3D) breast tumor spheroids. 3D tumor models were built using concave microwells with different diameters (300-700µm) and nanoparticles were prepared using thermo-responsive poly(N-isopropylacrylamide) (PNIPAM)-co-acrylic acid (AA). Upon culturing with doxorubicin-loaded PNIPAM-co-AA nanoparticles for 96hours, the smallest tumor spheroids were extensively disrupted, resulting in a reduction in spheroid diameter. In contrast, the sizes of the largest tumor spheroids were not changed. Scanning electron microscopy revealed that the circular shape of 3D spheroids treated with doxorubicin-loaded PNIPAM-co-AA nanoparticles had collapsed severely. Cell viability assays also demonstrated that the largest tumor spheroids cultured with doxorubicin-loaded PNIPAM-co-AA nanoparticles were highly resistant to the anticancer drug. We confirmed that tight cell-cell contacts within largest tumor spheroids significantly improved the anticancer drug resistance. Therefore, this uniform-sized 3D breast tumor model could be a potentially powerful tool for anticancer drug screening applications. FROM THE CLINICAL EDITOR: The battle against cancer is a big challenge. With new anti-cancer drugs being developed under the nanotechnology platform, there is a need to have a consistent and reliable testing system that mimics the in-vivo tumor scenario. The authors successfully designed a 3D tumor model using concave microwells to produce different tumor diameters. This will be of value for future drug screening.

Thermo-responsive polymeric nanoparticles for enhancing neuronal differentiation of human induced pluripotent stem cells.

We report thermo-responsive retinoic acid (RA)-loaded poly(N-isopropylacrylamide)-co-acrylamide (PNIPAM-co-Am) nanoparticles for directing human induced pluripotent stem cell (hiPSC) fate. Fourier transform infrared spectroscopy and (1)H nuclear magnetic resonance analysis confirmed that RA was efficiently incorporated into PNIAPM-co-Am nanoparticles (PCANs). The size of PCANs dropped with increasing temperatures (300-400 nm at room temperature, 80-90 nm at 37°C) due to its phase transition from hydrophilic to hydrophobic. Due to particle shrinkage caused by this thermo-responsive property of PCANs, RA could be released from nanoparticles in the cells upon cellular uptake. Immunocytochemistry and quantitative real-time polymerase chain reaction analysis demonstrated that neuronal differentiation of hiPSC-derived neuronal precursors was enhanced after treatment with 1-2 µg/ml RA-loaded PCANs. Therefore, we propose that this PCAN could be a potentially powerful carrier for effective RA delivery to direct hiPSC fate to neuronal lineage. FROM THE CLINICAL EDITOR: The use of induced pluripotent stem cells (iPSCs) has been at the forefront of research in the field of regenerative medicine, as these cells have the potential to differentiate into various terminal cell types. In this article, the authors utilized a thermo-responsive polymer, Poly(N-isopropylacrylamide) (PNIPAM), as a delivery platform for retinoic acid. It was shown that neuronal differentiation could be enhanced in hiPSC-derived neuronal precursor cells. This method may pave a way for future treatment of neuronal diseases.

Microwell arrays for uniform-sized embryoid body-mediated endothelial cell differentiation.

Embryonic stem (ES) cell is of great interest cell source in regenerating tissue constructs. We hypothesized that the interaction of cell-extracellular matrices (ECMs) would enable the control of ES cell differentiation pathway. We fabricated the hydrogel microwell array system to regulate uniform-sized embryoid bodies (EBs) and replate into various ECM components (e.g., gelatin, collagen I, fibronectin, laminin, and Matrigel). We demonstrated that collagen I and laminin largely induced ES cell-derived endothelial cell differentiation compared to gelatin. We also characterized ECMs-dependent endothelial cell differentiation by evaluating the endothelial gene expression, showing that Flk1 endothelial gene was highly expressed on collagen I. We also demonstrated the effect of the integrin on uniform-sized EBs-derived endothelial cell differentiation, showing that integrin α1 was largely expressed on laminin. Therefore, the cell-ECM interaction could be potentially powerful for controlling the uniform-sized EBs-derived endothelial cell differentiation.

Synergistic Effect of Electrical and Biochemical Stimulation on Human iPSC-Derived Neural Differentiation in a Microfluidic Electrode Array Chip.

Neural differentiation is crucial for advancing our understanding of the nervous system and developing treatments for neurological disorders. The advanced methods and the ability to manipulate the alignment, proliferation, and differentiation of stem cells are essential for studying neuronal development and synaptic interactions. However, the utilization of human induced pluripotent stem cells (iPSCs) for disease modeling of neurodegenerative conditions may be constrained by the prolonged duration and uncontrolled cell differentiation required for functional neural cell differentiation. Here, we developed a microfluidic chip to enhance the differentiation and maturation of specific neural lineages by placing aligned microelectrodes on the glass surface to regulate the neural differentiation of human iPSCs. The utilization of electrical stimulation (ES) in conjunction with neurotrophic factors (NF) significantly enhanced the efficiency in generating functional neurons from human iPSCs. We also observed that the simultaneous application of NF and ES to human iPSCs promoted their differentiation and maturation into functional neurons while increasing synaptic interactions. Our research demonstrated the effect of combining NF and ES on human iPSC-derived neural differentiation.

Effect of gut microbiota-derived metabolites and extracellular vesicles on neurodegenerative disease in a gut-brain axis chip.

A new perspective suggests that a dynamic bidirectional communication system, often referred to as the microbiome-gut-brain axis, exists among the gut, its microbiome, and the central nervous system (CNS). This system may influence brain health and various brain-related diseases, especially in the realms of neurodevelopmental and neurodegenerative conditions. However, the exact mechanism is not yet understood. Metabolites or extracellular vesicles derived from microbes in the gut have the capacity to traverse the intestinal epithelial barrier or blood-brain barrier, gaining access to the systemic circulation. This phenomenon can initiate the physiological responses that directly or indirectly impact the CNS and its function. However, reliable and controllable tools are required to demonstrate the causal effects of gut microbial-derived substances on neurogenesis and neurodegenerative diseases. The integration of microfluidics enhances scientific research by providing advanced in vitro engineering models. In this study, we investigated the impact of microbe-derived metabolites and exosomes on neurodevelopment and neurodegenerative disorders using human induced pluripotent stem cells (iPSCs)-derived neurons in a gut-brain axis chip. While strain-specific, our findings indicate that both microbial-derived metabolites and exosomes exert the significant effects on neural growth, maturation, and synaptic plasticity. Therefore, our results suggest that metabolites and exosomes derived from microbes hold promise as potential candidates and strategies for addressing neurodevelopmental and neurodegenerative disorders.

Dual-micropillar-based microfluidic platform for single embryonic stem cell-derived neuronal differentiation.

We developed the dual-micropillar-based microfluidic platform to direct embryonic stem (ES) cell fate. 4 × 4 dual-micropillar-based microfluidic platform consisted of 16 circular-shaped outer micropillars and 8 saddle-shaped inner micropillars in which single ES cells were cultured. We hypothesized that dual-micropillar arrays would play an important role in controlling the shear stress and cell docking. Circular-shaped outer micropillars minimized the shear stress, whereas saddle-shaped innermicropillars allowed for docking of individual ES cells. We observed the effect of saddle-shaped inner micropillars on cell docking in response to hydrodynamic resistance. We also demonstrated that ES cells cultured for 6 days within the dual-micropillar-based microfluidic platform differentiated into neural-like cells. Therefore, this dual-micropillar-based microfluidic platform could be a potentially powerful method for screening of lineage commitments of single ES cells.

Epithelial-to-mesenchymal transition of human lung alveolar epithelial cells in a microfluidic gradient device.

Epithelial-to-mesenchymal transition (EMT), a process in which epithelial cells undergo phenotypic transitions to fibrotic cells, is induced by stimulants including transforming growth factor-beta1 (TGF-ß1). In the present study, we developed a microfluidic gradient device to reproduce EMT in A549 human lung alveolar epithelial cells in response to TGF-ß1 gradients. The device was directly mounted on the cells that had grown in cell culture plates and produced a stable concentration gradient of TGF-ß1 with negligible shear stress, thereby providing a favorable environment for the anchorage-dependent cells. A549 cells elongated with the characteristic spindle-shaped morphological changes with upregulation of alpha-smooth muscle actin, a mesenchyme marker, in a gradient-dependent manner, suggestive of EMT progression. We observed that at higher TGF-ß1 concentrations ranging from 5 to 10 ng/mL, the cultures in the microfluidic device allowed to quantitatively pick up subtle differences in the EMT cellular response as compared with plate cultures. These results suggest that the microfluidic gradient device would accurately determine the optimal concentrations of TGF-ß1, given that epithelial cells of different tissue origins greatly vary their responses to TGF-ß1. Therefore, this microfluidic device could be a powerful tool to monitor EMT induced by a variety of environmental stresses including cigarette smoke with high sensitivity.

Retinoic acid-polyethyleneimine complex nanoparticles for embryonic stem cell-derived neuronal differentiation.

We synthesized functional retinoic acid (RA)-polyethyleneimine (PEI) complex nanoparticles. NH groups of branched PEI chains were electrostatically interacted with carboxyl groups of RA surfaces to form cationic RA-PEI complex nanoparticles. We observed that the average diameter of RA-PEI complex nanoparticles was approximately 70 nm and the morphology of complex nanoparticles was homogeneous circular shape. To confirm the synthesis of RA-PEI complex nanoparticles, we characterized complex nanoparticles using (1)H nuclear magnetic resonance (NMR), indicating that hydrophilic branched PEI chains were covered on hydrophobic RA surfaces. Furthermore, we demonstrated that pH enabled the control of amounts of RA released from RA-PEI complex nanoparticles, showing that RA exposed to acidic pH 5 was steadily released (∼76%) from complex nanoparticles, whereas RA was rapidly released (∼97%) at pH 7.4 on day 11. We also observed that RA-PEI complex nanoparticles induced embryonic stem (ES) cell-derived neuronal differentiation. Therefore, this RA-PEI complex nanoparticle is a potentially powerful tool for directing murine ES cell fate.

Deep Learning-Assisted Droplet Digital PCR for Quantitative Detection of Human Coronavirus.

Since coronavirus disease 2019 (COVID-19) pandemic rapidly spread worldwide, there is an urgent demand for accurate and suitable nucleic acid detection technology. Although the conventional threshold-based algorithms have been used for processing images of droplet digital polymerase chain reaction (ddPCR), there are still challenges from noise and irregular size of droplets. Here, we present a combined method of the mask region convolutional neural network (Mask R-CNN)-based image detection algorithm and Gaussian mixture model (GMM)-based thresholding algorithm. This novel approach significantly reduces false detection rate and achieves highly accurate prediction model in a ddPCR image processing. We demonstrated that how deep learning improved the overall performance in a ddPCR image processing. Therefore, our study could be a promising method in nucleic acid detection technology.