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Traditional antibody-based affinity sensing strategies employ multiple reagents and washing steps and are unsuitable for real-time detection of analyte binding. Aptamers, on the other hand, may be designed to monitor binding events directly, in real-time, without the need for secondary labels. The goal of the present study was to design an aptamer beacon for fluorescence resonance energy transfer (FRET)-based detection of interferon-gamma (IFN-gamma)--an important inflammatory cytokine. Variants of DNA aptamer modified with biotin moieties and spacers were immobilized on avidin-coated surfaces and characterized by surface plasmon resonance (SPR). The SPR studies showed that immobilization of aptamer via the 3' end resulted in the best binding IFN-gamma (K(d) = 3.44 nM). This optimal aptamer variant was then used to construct a beacon by hybridizing fluorophore-labeled aptamer with an antisense oligonucleotide strand carrying a quencher. SPR studies revealed that IFN-gamma binding with an aptamer beacon occurred within 15 min of analyte introduction--suggesting dynamic replacement of the quencher-complementary strand by IFN-gamma molecules. To further highlight biosensing applications, aptamer beacon molecules were immobilized inside microfluidic channels and challenged with varying concentration of analyte. Fluorescence microscopy revealed low fluorescence in the absence of analyte and high fluorescence after introduction of IFN-gamma. Importantly, unlike traditional antibody-based immunoassays, the signal was observed directly upon binding of analyte without the need for multiple washing steps. The surface immobilized aptamer beacon had a linear range from 5 to 100 nM and a lower limit of detection of 5 nM IFN-gamma. In conclusion, we designed a FRET-based aptamer beacon for monitoring of an inflammatory cytokine-IFN-gamma. In the future, this biosensing strategy will be employed to monitor dynamics of cytokine production by the immune cells.

The microarray format is being used extensively for combinatorial screening of cellular interactions with proteins, small molecules, or biomaterials. The utility of microarray-based cell cultivation approaches may be enhanced further by incorporating biosensing elements alongside the cell-adhesive ligands to enable local detection of secreted cellular products. The concept of combining cells and sensing elements in the same microarray is demonstrated in the present paper with hepatocytes serving as a model cellular system. Robotic microarraying was employed to print arrays of 300-mum-diameter collagen (I) spots alongside the antibody (Ab) spots specific to liver proteins: albumin and alpha1-antitrypsin (alpha1-AT). Protein microarrays were printed onto poly(ethylene glycol) hydrogel-coated glass slides, thus eliminating nonspecific adsorption of cells or proteins. When incubated with printed microarrays, hepatocytes became localized on collagen (I) domains but did not attach on Ab spots or elsewhere on hydrogel-coated glass substrates. Liver-specific proteins secreted by hepatocytes were captured on Ab domains in the immediate vicinity of the cells, detected with a sandwich immunofluorescent assay and quantified using a microarray scanner. Importantly, hepatic albumin and alpha1-AT production detected in the microarray was comparable to enzyme-linked immunosorbent assay measurements of these proteins. In the future, the juxtaposition of sensing Ab regions with cell arrays will be particularly useful for the detection of local appearance or loss of phenotype of cells interacting with the printed components of the cellular microenvironment.

While cellular micropatterning approaches are employed extensively in cell biology and tissue engineering, only a limited number of methods for analysis of local function in the context of a complex, microfabricated environment are currently available. The present study develops a novel strategy for analysis of local tissue-specific function in cellular micropatterns. Model hepatocytes (HepG2 cells) were seeded onto silane-modified glass slides containing robotically printed arrays of collagen type I. These model hepatocytes formed cell arrays with individual cell cluster dimensions (150 or 500 microm) corresponding in size to the printed collagen spots. Non-parenchymal cells (3T3 fibroblasts) were added to hepatocellular micropatterns to create heterotypic cocultures. Expression of hepatic phenotype in HepG2 cells was first verified by traditional techniques including intracellular staining and ELISA for albumin. In order to evaluate local liver function in the cellular microarray, individual array members composed of approximately 400 hepatocytes were retrieved using laser capture microdissection and analyzed with real-time reverse transcriptase (RT)-polymerase chain reaction (PCR). Hepatic function was assessed based on expression of four genes associated with differentiated liver phenotype: albumin, transferrin, alpha-fetoprotein, and alpha1-antitrypsin. "Titration" experiments, carried out to identify the smallest population of HepG2 cells yielding detectable mRNA levels and RT-PCR signals, showed that extraction area of 12,500 microm2 (corresponding to approximately 70 cells) provided detectable gene expression signals. All four liver-specific genes were routinely evaluated after extraction of approximately 400 HepG2 from the micropatterned surfaces. Significantly, selective retrieval and subsequent analysis of tissue-specific function was demonstrated for hepatic cells micropatterned alone and in coculture with non-parenchymal cells. In the future, methods described in this study will offer the possibility to investigate dynamic and reciprocal interactions between two or more cell types positioned on a microfabricated cell culture surface. We also envision the proposed approaches to be ideally suited for cell analysis in the context of combinatorial microenvironment.