Proliferative and re-defferentiative effects of photo-immobilized micro-patterned hyaluronan surfaces on chondrocyte cells

A photo-immobilisation procedure was utilised to create two different micro-patterned surfaces (tracks 25 and 5 μm wide) of hyaluronan (Hyal) on polyethylene-terephthalate (PET) previously plasma activated. Aim of the study was to investigate the proliferation and re-differentiation capacity of articular chondrocytes cultured on micro-patterned Hyal, compared to homogeneous Hyal and plain plasma-treated (pt-)PET substrates. Cytotoxicity, cell proliferation, activation and differentiation of articular knee cartilage chondrocytes (Mongrel sheep) were evaluated after 14 days of culture. It was found that micro-patterned Hyal surfaces induced the adhesion, migration and alignment of chondrocytes, as shown by light and scanning electron microscopy. Furthermore, the same surfaces induced chondrocyte differentiation, with a significant increase of aggrecan and collagen type II production, while homogeneous Hyal and pt-PET surfaces did not.     

Multilayered mucoadhesive hydrogel films based on thiolated hyaluronic acid and polyvinylalcohol for insulin delivery

A multilayered hydrogel film system based on hyaluronic acid-cysteamine (HA-Cym) and polyvinylalcohol (PVA) was fabricated. It contained a drug-impermeable backing layer, a supporting layer preventing direct contact between the loaded drug and the backing layer, a drug-loading layer and a mucoadhesive layer. Scanning electron microscopy demonstrated the presence of the distinct layers. The composition and preparation procedure of the films influenced their mucoadhesion, swelling, in vitro release of insulin and loaded insulin stability. Vacuum drying and crosslinked PVA with glutaraldehyde might reduce mucoadhesion, and they partially decreased the bioactivity of loaded insulin. Lyophilized hydrogel film with uncrosslinked PVA as a mucoadhesive layer possessed high mucoadhesion and showed no influence on the bioactivity of loaded insulin. The application of vacuum-dried PVA-crosslinked HA-Cym/PVA hydrogel film as a drug-impermeable backing layer would provide a controllable unidirectional insulin release. Therefore, such a multilayered hydrogel film system could be a promising mucoadhesive delivery system for controlled macromolecular drug release.     

Possibilistic approach for biclustering microarray data

Biclustering has emerged as an important method for analyzing gene expression data from microarray technology. It allows to identify groups of genes which behave similarly under a subset of conditions. As a gene may play more than one biological role in conjunction with distinct groups of genes, non-exclusive biclustering algorithms are required. In this paper we propose a new method to obtain potentially-overlapping biclusters, the Possibilistic Spectral Biclustering algorithm (PSB), based on Fuzzy Technology and Spectral Clustering. We tested our method on S. cerevisiae cell cycle expression data and on a human cancer dataset, validating the obtained biclusters using known classifications of conditions and GO Term Finder for functional annotations of genes. Results are available at http://decsai.ugr.es/ approximately ccano/psb.     

Ceramic capillaries for use in microarray fabrication

We have used ceramic capillary tips generally used in the microelectronics industry for the production of DNA microarrays. The ceramic tips improve the morphology of microarray elements, allow higher element density, and increase printing tip life over the customary slotted stainless-steel pins. Ceramic tips are less expensive than steel pins and allow printing from 1536-well sample source plates. In this work, we describe experiments that establish printing performance of the ceramic tips and hybridization experiments that show that DNA hybridization is unaffected by the choice of tip material.     

微阵列数据中常用的分类分析方法

微阵列技术的出现改变了生物医学研究的前景。微阵列技术产生的大量数据是限制其发展的一个主要瓶颈,为提取其中所隐含的有价值的信息,在微阵列数据分析的复杂计算工具和方法方面都有很多尝试。本文对基因表达模式识别中的分类方法进行了综述。     

Development of a genotyping microarray for Usher syndrome

Background

Usher syndrome, a combination of retinitis pigmentosa (RP) and sensorineural hearing loss with or without vestibular dysfunction, displays a high degree of clinical and genetic heterogeneity. Three clinical subtypes can be distinguished, based on the age of onset and severity of the hearing impairment, and the presence or absence of vestibular abnormalities. Thus far, eight genes have been implicated in the syndrome, together comprising 347 protein‐coding exons. Methods: To improve DNA diagnostics for patients with Usher syndrome, we developed a genotyping microarray based on the arrayed primer extension (APEX) method. Allele‐specific oligonucleotides corresponding to all 298 Usher syndrome‐associated sequence variants known to date, 76 of which are novel, were arrayed.

Results

Approximately half of these variants were validated using original patient DNAs, which yielded an accuracy of >98%. The efficiency of the Usher genotyping microarray was tested using DNAs from 370 unrelated European and American patients with Usher syndrome. Sequence variants were identified in 64/140 (46%) patients with Usher syndrome type I, 45/189 (24%) patients with Usher syndrome type II, 6/21 (29%) patients with Usher syndrome type III and 6/20 (30%) patients with atypical Usher syndrome. The chip also identified two novel sequence variants, c.400C>T (p.R134X) in PCDH15 and c.1606T>C (p.C536S) in USH2A.

Conclusion

The Usher genotyping microarray is a versatile and affordable screening tool for Usher syndrome. Its efficiency will improve with the addition of novel sequence variants with minimal extra costs, making it a very useful first‐pass screening tool.     

Protein microarray technology

Protein chips have emerged as a promising approach for a wide variety of applications including the identification of protein-protein interactions, protein-phospholipid interactions, small molecule targets, and substrates of proteins kinases. They can also be used for clinical diagnostics and monitoring disease states. This article reviews current methods in the generation and applications of protein microarrays.     

A universal microarray for detection of SARS coronavirus

Severe acute respiratory syndrome (SARS) is caused by the SARS coronavirus (SARS-CoV). There are many point mutations among SARS-CoV genome sequences. Previous studies suggested that the mutations are correlated closely with the SARS epidemic. It was found that the bases of six nucleotide positions (nt9404, nt9479, nt19838, nt21721, nt22222 and nt27827) with high-mutation rate have an important relationship with the SARS epidemic. For viral detection as well as genotyping, a universal microarray system was developed that combines RT-PCR and ligase detection reaction (LDR). The Zip Codes attached covalently to a slide remain constant and their complementary Zip Codes (cZip Codes) can be used for tagging target sequence, making the microarrays universal. The discriminating oligonucleotides contain on the 5' end "cZip Codes" that are used to direct LDR product to specific Zip Codes attached covalently to a slide. Since Zip Codes have no homology to either the target sequence or to other sequences in the genomes of both human host and SARS-CoV, there was no false signal due to mismatch hybridizations. 20 samples assayed with the universal microarray were confirmed by DNA sequencing, demonstrating that this microarray system is a promising diagnostic tool for detection and genotyping of the SARS-CoV.     

A 22-plex chemiluminescent microarray for pneumococcal antibodies

We developed a chemiluminescent multiplexed microarray that simultaneously determines IgG antibody concentrations to 22 pneumococcal polysaccharide (PnPs) serotypes (1, 2, 3, 4, 5, 6B, 7F, 8, 9N, 9V, 10A, 11A, 12F, 14, 15B, 17F, 18C, 19A, 19F, 20, 23F, and 33F). We compared the microarray with an enzyme-linked immunosorbent assay (ELISA) for 9 of the 22 serotypes (1, 4, 5, 6B, 9V, 14, 18C, 19F, and 23F). Correlation coefficients (r2) for the comparison of the microarray with ELISA ranged from 0.91 to 0.97 for the 9 serotypes. The microarray detected more than 4-fold increases in antibody concentrations in serum samples from before and 1 month after administration of pneumococcal vaccine for all 22 serotypes tested. The mean interassay and intra-assay coefficients of variation for 12 serum samples for the 22 serotypes were 7.6% and 6.0%, respectively. Inhibition-of-binding studies showed more than 90% inhibition by homologous serotypes and, with few exceptions, less than 25% inhibition by heterologous serotypes. The microarray multiplexing technology is an attractive alternative to ELISA for antibody responses to 23-valent PnPs vaccines.     

Electrosonic ejector microarray for drug and gene delivery

We report on development and experimental characterization of a novel cell manipulation device—the electrosonic ejector microarray—which establishes a pathway for drug and/or gene delivery with control of biophysical action on the length scale of an individual cell. The device comprises a piezoelectric transducer for ultrasound wave generation, a reservoir for storing the sample mixture and a set of acoustic horn structures that form a nozzle array for focused application of mechanical energy. The nozzles are micromachined in silicon or plastic using simple and economical batch fabrication processes. When the device is driven at a particular resonant frequency of the acoustic horn structures, the sample mixture of cells and desired transfection agents/molecules suspended in culture medium is ejected from orifices located at the nozzle tips. During sample ejection, focused mechanical forces (pressure and shear) are generated on a microsecond time scale (dictated by nozzle size/geometry and ejection velocity) resulting in identical “active” microenvironments for each ejected cell. This process enables a number of cellular bioeffects, from uptake of small molecules and gene delivery/transfection to cell lysis. Specifically, we demonstrate successful calcein uptake and transfection of DNA plasmid encoding green fluorescent protein (GFP) into human malignant glioma cells (cell line LN443) using electrosonic microarrays with 36, 45 and 50 μm diameter nozzle orifices and operating at ultrasound frequencies between 0.91 and 0.98 MHz. Our results suggest that efficacy and the extent of bioeffects are mainly controlled by nozzle orifice size and the localized intensity of the applied acoustic field.     

Evanescent-imaging-ellipsometry-based microarray reader

We describe the development of a label-less ellipsometric imaging microarray reader. The ability of the ellipsometric microarray reader to measure binding of sample to microarray surface is verified using oligonucleotide complementary DNA (cDNA) microarrays. Polarized light illuminates the microarray surface through a glass substrate at an angle beyond the critical angle and changes in the polarization of totally internally reflected light resulting from binding events on the microarray surface are measured. This polarization change is used to measure the thickness of biomolecules bound to the microarray. A prototype ellipsometric imaging microarray reader is constructed and calibrated, and the performance is evaluated with cDNA microarrays. The microarray reader measures changes in refractive index changes as small as 0.0024 and thickness changes as small as 0.28 nm. The optimization of angle of incidence and substrate refractive index necessary to achieve high sensitivity is also described. This ellipsometric technique offers an attractive alternative to fluorescence-microarray readers in some genomic, proteomic, diagnostic, and sensing applications.     

The tissue microarray data exchange specification: A community-based,open source tool for sharing tissue microarray data

Background  

Tissue Microarrays (TMAs) allow researchers to examine hundreds of small tissue samples on a single glass slide. The information held in a single TMA slide may easily involve Gigabytes of data. To benefit from TMA technology, the scientific community needs an open source TMA data exchange specification that will convey all of the data in a TMA experiment in a format that is understandable to both humans and computers. A data exchange specification for TMAs allows researchers to submit their data to journals and to public data repositories and to share or merge data from different laboratories. In May 2001, the Association of Pathology Informatics (API) hosted the first in a series of four workshops, co-sponsored by the National Cancer Institute, to develop an open, community-supported TMA data exchange specification.     

An oligonucleotide-based microarray for detection of plant RNA viruses

Currently, some of the methods used most widely for diagnosis and detection of plant viruses are ELISA, PCR, bioassays and electron microscopy. These methods only target one or a few species in each assay or they are time consuming and require expertise. Microarray-based approaches offer an alternative to these methods as microarrays with virus-specific probes could be capable of detecting an almost unlimited number of virus species in one assay. In the present study, the feasibility of this strategy was studied by constructing a microarray with 150 probes potentially capable of detecting 52 viruses from a broad range of genera. The array was printed in 16 subarrays to allow testing of several samples on each slide. Hybridizations with cDNA from plants infected with 52 different virus species showed that out of the 52 species tested, 49 were positive and identified correctly to species level. This array represents the largest published microarray for plant virus detection in terms of the number of targeted species and is thus an important milestone towards the construction of a generic microarray able to detect most, if not all, plant RNA viruses.     

Tissue microarray technology for high-throughput molecular profiling of cancer

Tissue microarray (TMA) technology allows rapid visualization of molecular targets in thousands of tissue specimens at a time, either at the DNA, RNA or protein level. The technique facilitates rapid translation of molecular discoveries to clinical applications. By revealing the cellular localization, prevalence and clinical significance of candidate genes, TMAs are ideally suitable for genomics-based diagnostic and drug target discovery. TMAs have a number of advantages compared with conventional techniques. The speed of molecular analyses is increased by more than 100-fold, precious tissues are not destroyed and a very large number of molecular targets can be analyzed from consecutive TMA sections. The ability to study archival tissue specimens is an important advantage as such specimens are usually not applicable in other high-throughput genomic and proteomic surveys. Construction and analysis of TMAs can be automated, increasing the throughput even further. Most of the applications of the TMA technology have come from the field of cancer research. Examples include analysis of the frequency of molecular alterations in large tumor materials, exploration of tumor progression, identification of predictive or prognostic factors and validation of newly discovered genes as diagnostic and therapeutic targets.     

A DNA oligonucleotide microarray for detecting human astrovirus serotypes

Human astroviruses have been shown in numerous studies to be an important cause of gastroenteritis in young children worldwide. The present communication addresses their characterization by use of oligonucleotide microarray hybridization. The system developed consists of an RT-PCR using primers of low degeneracy capable of detecting all eight serotypes of human astroviruses. RT-PCR products are then hybridized against a microarray consisting of short oligonucleotide probes 17-18 nucleotides in length. Cy3-labeled ssDNA targets are generated using a Cy3-labeled primer in the RT-PCR. The non-labeled strand is enzymatically digested, and the labeled target is rescued by column purification. This method of generating labeled target uses equimolar concentrations of the amplifying primers and does not compromise assay sensitivity for initial detection of the virus. Hybridization can be performed without the need for additional amplification. Although the amplicon spans a relatively conserved region of the astrovirus genome, the use of short probes enables type distinction despite such limited diversity. Probes differing by as little as a single nucleotide can be used to distinguish isolates. The microarray developed was capable of distinguishing representatives of the eight known serotypes of human astroviruses.     

A high-throughput microparticle microarray platform for dendritic cell-targeting vaccines

Immunogenomic approaches combined with advances in adjuvant immunology are guiding progress toward rational design of vaccines. Furthermore, drug delivery platforms (e.g., synthetic particles) are demonstrating promise for increasing vaccine efficacy. Currently there are scores of known antigenic epitopes and adjuvants, and numerous synthetic delivery systems accessible for formulation of vaccines for various applications. However, the lack of an efficient means to test immune cell responses to the abundant combinations available represents a significant blockade on the development of new vaccines. In order to overcome this barrier, we report fabrication of a new class of microarray consisting of antigen/adjuvant-loadable poly(d,l lactide-co-glycolide) microparticles (PLGA MPs), identified as a promising carrier for immunotherapeutics, which are co-localized with dendritic cells (DCs), key regulators of the immune system and prime targets for vaccines. The intention is to utilize this high-throughput platform to optimize particle-based vaccines designed to target DCs in vivo for immune system-related disorders, such as autoimmune diseases, cancer and infection. Fabrication of DC/MP arrays leverages the use of standard contact printing miniarraying equipment in conjunction with surface modification to achieve co-localization of particles/cells on isolated islands while providing background non-adhesive surfaces to prevent off-island cell migration. We optimized MP overspotting pin diameter, accounting for alignment error, to allow construction of large, high-fidelity arrays. Reproducible, quantitative delivery of as few as 16 ± 2 MPs per spot was demonstrated and two-component MP dosing arrays were constructed, achieving MP delivery which was independent of formulation, with minimal cross-contamination. Furthermore, quantification of spotted, surface-adsorbed MP degradation was demonstrated, potentially useful for optimizing MP release properties. Finally, we demonstrate DC co-localization with PLGA MPs on isolated islands and that DCs do not migrate between islands for up to 24 h. Using this platform, we intend to analyze modulation of DC function by providing multi-parameter combinatorial cues in the form of proteins, peptides and other immuno-modulatory molecules encapsulated in or tethered on MPs. Critically, the miniaturization attained enables high-throughput investigation of rare cell populations by reducing the requirement for cells and reagents by many-fold, facilitating advances in personalized vaccines which target DCs in vivo.     

An oligonucleotide microarray for the detection of vaccinia virus

Vaccinia virus is a member of the orthopoxvirus group, to which also belongs variola virus, one of the most hazardous pathogens known to man. To establish a model system to detect orthopoxviruses, a vaccinia oligonucleotide microarray is designed, produced and tested. Vaccinia virus is used to test the prepared microarrays. The virus DNA samples in different propagation phases are extracted and hybridised with the oligonucleotide microarray. The results showed that the oligonucleotide microarray can detect vaccinia virus with high specificity and sensitivity.     

Ensemble gene selection by grouping for microarray data classification

Selecting relevant and discriminative genes for sample classification is a common and critical task in gene expression analysis (e.g. disease diagnostic). It is desirable that gene selection can improve classification performance of learning algorithm effectively. In general, for most gene selection methods widely used in reality, an individual gene subset will be chosen according to its discriminative power. One of deficiencies of individual gene subset is that its contribution to classification purpose is limited. This issue can be alleviated by ensemble gene selection based on random selection to some extend. However, the random one requires an unnecessary large number of candidate gene subsets and its reliability is a problem. In this study, we propose a new ensemble method, called ensemble gene selection by grouping (EGSG), to select multiple gene subsets for the classification purpose. Rather than selecting randomly, our method chooses salient gene subsets from microarray data by virtue of information theory and approximate Markov blanket. The effectiveness and accuracy of our method is validated by experiments on five publicly available microarray data sets. The experimental results show that our ensemble gene selection method has comparable classification performance to other gene selection methods, and is more stable than the random one.