Measuring Nanoparticle Penetration Through Bio-Mimetic Gels.

BACKGROUND: In cancer nanomedicine, drugs are transported by nanocarriers through a biological system to produce a therapeutic effect. The efficacy of the treatment is affected by the ability of the nanocarriers to overcome biological transport barriers to reach their target. In this work, we focus on the process of nanocarrier penetration through tumour tissue after extravasation. Visualising the dynamics of nanocarriers in tissue is difficult in vivo, and in vitro assays often do not capture the spatial and physical constraints relevant to model tissue penetration. METHODS: We propose a new simple, low-cost method to observe the transport dynamics of nanoparticles through a tissue-mimetic microfluidic chip. After loading a chip with triplicate conditions of gel type and loading with microparticles, microscopic analysis allows for tracking of fluorescent nanoparticles as they move through hydrogels (Matrigel and Collagen I) with and without cell-sized microparticles. A bespoke image-processing codebase written in MATLAB allows for statistical analysis of this tracking, and time-dependent dynamics can be determined. RESULTS: To demonstrate the method, we show size-dependence of transport mechanics can be observed, with diffusion of fluorescein dye throughout the channel in 8 h, while 20 nm carboxylate FluoSphere diffusion was hindered through both Collagen I and Matrigel™. Statistical measurements of the results are generated through the software package and show the significance of both size and presence of microparticles on penetration depth. CONCLUSION: This provides an easy-to-understand output for the end user to measure nanoparticle tissue penetration, enabling the first steps towards future automated experimentation of transport dynamics for rational nanocarrier design.

Toward Engineering Biosystems With Emergent Collective Functions.

Many complex behaviors in biological systems emerge from large populations of interacting molecules or cells, generating functions that go beyond the capabilities of the individual parts. Such collective phenomena are of great interest to bioengineers due to their robustness and scalability. However, engineering emergent collective functions is difficult because they arise as a consequence of complex multi-level feedback, which often spans many length-scales. Here, we present a perspective on how some of these challenges could be overcome by using multi-agent modeling as a design framework within synthetic biology. Using case studies covering the construction of synthetic ecologies to biological computation and synthetic cellularity, we show how multi-agent modeling can capture the core features of complex multi-scale systems and provide novel insights into the underlying mechanisms which guide emergent functionalities across scales. The ability to unravel design rules underpinning these behaviors offers a means to take synthetic biology beyond single molecules or cells and toward the creation of systems with functions that can only emerge from collectives at multiple scales.

Multiparameter toxicity screening on a chip: Effects of UV radiation and titanium dioxide nanoparticles on HaCaT cells.

Microfluidic screening is gaining attention as an efficient method for evaluating nanomaterial toxicity. Here, we consider a multiparameter treatment where nanomaterials interact with cells in the presence of a secondary exposure (UV radiation). The microfluidic device contains channels that permit immobilization of HaCaT cells (human skin cell line), delivery of titanium dioxide nanoparticles (TNPs), and exposure to a known dose of UV radiation. The effect of single-parameter exposures (UV or TNP) was first studied as a benchmark, and then multiparameter toxicity (UV and TNP) at different concentrations was explored. The results demonstrate a concentration-dependent protective effect of TNP when exposed to UV irradiation.

Microfluidic Cell Microarray Platform for High Throughput Analysis of Particle-Cell Interactions.

With advances in nanotechnology, particles with various size, shape, surface chemistry, and composition can be easily produced. Nano- and microparticles have been extensively explored in many industrial and clinical applications. Ensuring that the particles themselves are not possessing toxic effects to the biological system is of paramount importance. This paper describes a proof of concept method, in which a microfluidic system is used in conjunction with a cell microarray technique aiming to streamline the analysis of particle-cell interaction in a high throughput manner. Polymeric microparticles, with different particle surface functionalities, were first used to investigate the efficiency of particle-cell adhesion under dynamic flow. Silver nanoparticles (AgNPs, 10 nm in diameter) perfused at different concentrations (0 to 20 µg/mL) in parallel streams over the cell microarray exhibited a higher toxicity compared to the static culture in the 96-well-plate format. This developed microfluidic system can be easily scaled up to accommodate a larger number of microchannels for high throughput analysis of the potential toxicity of a wide range of particles in a single experiment.

Optimization of binding B-lymphocytes in a microfluidic channel: surface modification, stasis time and shear response.

Binding and maintaining cells inside microfluidic channels is a challenging task due to the potential release of cells from the channels with the flow and accompanying shear stress. In this work we optimized the binding of human B-lymphocyte cells (HR1K) inside a microfluidic channel and determined the strength of this binding under shear stress of flowing liquid. In order to determine the parameters required for a live/dead test in microfluidic devices, populations of both living and dead cells were tested separately. Channels were prepared in glass-polydimethylsiloxane hybrid chips, with a self-assembled monolayer of 3-(glycidyloxypropyl)trimethoxysilane (GPTMS) before covalently immobilizing anti-CD20 antibody. Without GPTMS linker, ∼90% of the CD20-expressing cells detached at 200 µl min-1 (the highest flow rate studied). With GPTMS linker, the bonding method proved critical for sustained immobilization of HR1K cells under flow. Masking the channel area during plasma bonding preserves the antibody functionality; the masked surface gives 15% cell detachment at 200 µl min-1 compared with 80% for an unmasked surface. Sealing the chip via clamping (without plasma treatment) was similar to masked plasma treatment (20% detachment) and allowing a post-adhesion stasis time (30 min) did not significantly change the relative cell detachment for the flow rates studied. Membrane integrity and calcium spiking behaviour were measured fluorescently, and demonstrated that the live cells retained comparable functionality to unanchored cells for the duration of the flow experiments. Non-viable HR1K cells were found to detach more readily, exhibiting only 20% cell retention at 200 µl min-1 compared with >80% for live cells.

Crossed flow microfluidics for high throughput screening of bioactive chemical-cell interactions.

This paper describes the use of crossed laminar flow microfluidics for the selective capture of multiple cell types on-chip aiming for high throughput screening of various cell treatment compounds. Parallel laminar streams containing different cell types were perfused and captured on a cell adhesion protein-functionalized reaction area. Thereafter, parallel streams containing cell treatment solutions were delivered orthogonally over the captured cells. Multiple cell types and a range of cell treatment conditions could therefore be assessed in a single experiment. We were also able to sort mixed cell populations via antibody array clusters, and to further deliver treatments to subpopulations of cells. Moreover, using solutions with different tonicities, we successfully demonstrated the incorporation of a live/dead cell viability assessment on-chip for a direct read out assay following the treatments. This crossed laminar flow microfluidics for generation of a cell-based assay could therefore offer an interesting platform for high throughput screening of potential drug candidates, nanoparticle toxicity testing, or other cellular and molecular interventions.

Improving treatment services for substance abusers with comorbid depression.

Early identification of patients with comorbid depression and their subsequent enrollment in an enhanced psychiatric case management (PCM) intervention were examined as an effective way to engage depressed substance abuse patients into psychiatric treatment. Depression was screened using the Global Appraisal of Individual Needs (GAIN) and a DSM-IV checklist. Patients positive on both evaluations were assigned to PCM (n = 10) or to no case management, or treatment as usual (TAU) (n = 10). An examination of outcomes at six weeks indicated that PCM services are feasible and appear to be effective in encouraging use of psychiatric referral by depressed substance abusers.