Cancer classification with DNA microarrays is less more?

The dissection of cancer and the underlying molecular processes that are defective in cancer cells has become an important tool in the fight against this disease. DNA microarrays can provide detailed information of the expression pattern of thousands of genes in tumours. But how much of this data is useful and is some superfluous? Can array data be used to identify a handful of critical genes that will lead to a more-detailed taxonomy of tumours and can this or similar array data be used to predict clinical outcome? Primary tumours will give us the statistical power to draw these conclusions, but can cancer cell lines be used as models to point us in the right direction?     

Production of custom microarrays for neuroscience research

Microarray chips produced by commercial vendors and academic laboratories are mostly generic in nature to facilitate wide applicability. With the sequencing of the human, mouse, and rat genomes, the thrust is to expand clone and oligonucleotide sets and increase the number of genes represented on a particular array. This is appropriate for discovery based investigations where microarray technology has been successfully utilized. However, array technology can also be employed to perform hypothesis based studies if optimized chips can be produced with relevant content. Existing array technology available at core facilities can be effectively utilized to produce a custom microarrays with genes that are most relevant to the research interests of individual investigators or research groups for use as a standard molecular tool. The power of this technology can be harnessed to further our understanding of specific biological problems without involvement in extensive data mining and analysis. The custom microarray approach is presented with procedural details for design and production in the context of neurobiological investigations.     

Quantitative analysis of DNA array autoradiographs

DNA arrays and chips are powerful new tools for gene expression profiling. Current arrays contain hundreds or thousands of probes and large scale sequencing and screening projects will likely lead to the creation of global genomic arrays. DNA arrays and chips will be key in understanding how genes respond to specific changes of environment and will also greatly assist in drug discovery and molecular diagnostics. To facilitate widespread realization of the quantitative potential of this approach, we have designed procedures and software which facilitate analysis of autoradiography films with accuracy comparable to phosphorimaging devices. Algorithms designed for analysis of DNA array autoradiographs incorporate 3-D peak fitting of features on films and estimation of local backgrounds. This software has a flexible grid geometry and can be applied to different types of DNA arrays, including custom arrays.     

Plant genome sequencing: applications for crop improvement

DNA sequencing technology is undergoing a revolution with the commercialization of second generation technologies capable of sequencing thousands of millions of nucleotide bases in each run. The data explosion resulting from this technology is likely to continue to increase with the further development of second generation sequencing and the introduction of third generation single‐molecule sequencing methods over the coming years. The question is no longer whether we can sequence crop genomes which are often large and complex, but how soon can we sequence them? Even cereal genomes such as wheat and barley which were once considered intractable are coming under the spotlight of the new sequencing technologies and an array of new projects and approaches are being established. The increasing availability of DNA sequence information enables the discovery of genes and molecular markers associated with diverse agronomic traits creating new opportunities for crop improvement. However, the challenge remains to convert this mass of data into knowledge that can be applied in crop breeding programs.     

DNA芯片与应用

DNA芯片就是利用光导原位化学合成或液相合成自动化点样,将数以万计的寡核苷酸固定于固相支持物硅片、尼龙膜上,与荧光素或同位素标记的特检样本DNA/cDNA杂交,通过对杂交信号分析反映样本中的DNA序列信息。它广泛应用基因表达、DNA测序、基因分型、基因突变与多态性检测和遗传作图等生物医学研究领域。     

Gene expression profiling of breast carcinomas using nylon DNA arrays

Clinically very heterogeneous, breast cancer prognosis and treatment response are difficult to predict with the current prognostic histoclinical parameters. Mammary oncogenesis remains poorly understood. DNA array technology allows the simultaneous analysis of the mRNA expression levels of thousands of genes in biological samples. Applied to breast tumours, expression profiles will boost our knowledge of oncogenesis, will offer new potential therapeutic targets and new prognostic and predictive markers. Today, the most accessible approach for academic research teams is that of Nylon DNA arrays with radioactive detection, which in addition allows profiling of small clinical samples.     

Gene expression profiling and its practice in drug development

The availability of sequenced genomes of human and many experimental animals necessitated the development of new technologies and powerful computational tools that are capable of exploiting these genomic data and ask intriguing questions about complex nature of biological processes. This gave impetus for developing whole genome approaches that can produce functional information of genes in the form of expression profiles and unscramble the relationships between variation in gene expression and the resulting physiological outcome. These profiles represent genetic fingerprints or catalogue of genes that characterize the cell or tissue being studied and provide a basis from which to begin an investigation of the underlying biology. Among the most powerful and versatile tools are high-density DNA microarrays to analyze the expression patterns of large numbers of genes across different tissues or within the same tissue under a variety of experimental conditions or even between species. The wide spread use of microarray technologies is generating large sets of data that is stimulating the development of better analytical tools so that functions can be predicted for novel genes. In this review, the authors discuss how these profiles are being used at various stages of the drug discovery process and help in the identification of new drug targets, predict the function of novel genes, and understand individual variability in response to drugs.     

Automated DNA chip annotation tables at IFOM: the importance of synchronisation and cross-referencing of sequence databases

The increasing popularity of DNA chip technology for the study of gene expression is producing, for each experiment, a sizable quantity of numerical data to analyse and an accompanying large number of gene identifiers that should be associated with the relevant biological annotation. We describe here a website at IFOM (FIRC Institute of Molecular Oncology) where we release regularly updated annotation tables for the most used Affymetrix oligonucleotide DNA chips and for the whole Research Genetics 46K clone collection for cDNA arrays. These tables are synchronised with every new release of the mouse and human UniGene databases (NCBI; National Center for Biotechnology Information), allowing fast and easy preliminary annotation of DNA array experiments. We also report some comparative evidence about the importance of biological database synchronisation and cross-references in the process of generating annotation tables for DNA chips.     

基因芯片技术及其在植物上的应用

基因芯片技术（gene chip technology)是采用光导原位合成或缩微印刷等方法,将大量特定的DNA探针片段有序地固定于固相载体的表面,形成DNA微阵列,然后与待测的标记样品靶DNA或RNA分子杂交,对杂交信号进行扫描及计算机检测分析,从而获取所需的生物信息。该技术在植物研究中广泛应用于寻找特异性相关基因和新基因,基因表达分析,基因突变和多态性检测,DNA测序等。     

Protein micro- and macroarrays: digitizing the proteome

The early applications of microarrays and detection technologies have been centered on DNA-based applications. The application of array technologies to proteomics is now occurring at a rapid rate. Numerous researchers have begun to develop technologies for the creation of microarrays of protein-based screening tools. The stability of antibody molecules when bound to surfaces has made antibody arrays a starting point for proteomic microarray technology. To minimize disadvantages due to size and availability, some researchers have instead opted for antibody fragments, antibody mimics or phage display technology to create libraries for protein chips. Even further removed from antibodies are libraries of aptamers, which are single-stranded oligonucleotides that express high affinity for protein molecules. A variation on the theme of protein chips arrayed with antibody mimics or other protein capture ligand is that of affinity MS where the protein chips are directly placed in a mass spectrometer for detection. Other approaches include the creation of intact protein microarrays directly on glass slides or chips. Although many of the proteins may likely be denatured, successful screening has been demonstrated. The investigation of protein-protein interactions has formed the basis of a technique called yeast two-hybrid. In this method, yeast "bait" proteins can be probed with other yeast "prey" proteins fused to DNA binding domains. Although the current interpretation of protein arrays emphasizes microarray grids of proteins or ligands on glass slides or chips, 2-D gels are technically macroarrays of authentic proteins. In an innovative departure from the traditional concept of protein chips, some researchers are implementing microfluidic printing of arrayed chemistries on individual protein spots blotted onto membranes. Other researchers are using in-jet printing technology to create protein microarrays on chips. The rapid growth of proteomics and the active climate for new technology is driving a new generation of companies and academic efforts that are developing novel protein microarray techniques for the future.     

DNA chips: the future of biomarkers

DNA chips are small, solid supports such as microscope slides onto which thousands of cDNAs or oligonucleotides are arrayed, representing known genes or simply EST clones, or covering the entire sequence of a gene with all its possible mutations. Fluorescently labeled DNA or RNA extracted from tissues is hybridized to the array. Laser scanning of the chip permits quantitative evaluation of each individual complementary sequence present in the sample. DNA chip technology is currently being proposed for qualitative and quantitative applications, firstly for the detection of point mutations, small deletions and insertions in genes involved in human diseases or affected during cancer progression; secondly, to determine on a genome-wide basis the pattern of gene expression in tumors, as well as in a number of experimental situations. The extraordinary power of DNA chips will have a strong impact on medicine in the near future, both in the molecular characterization of tumors and genetic diseases and in drug discovery and evaluation. Quantitative applications will soon spread through all fields of biology.     

CropSNPdb: a database of SNP array data for Brassica crops and hexaploid bread wheat

Advances in sequencing technology have led to a rapid rise in the genomic data available for plants, driving new insights into the evolution, domestication and improvement of crops. Single nucleotide polymorphisms (SNPs) are a major component of crop genomic diversity, and are invaluable as genetic markers in research and breeding programs. High‐throughput SNP arrays, or ‘SNP chips’, can generate reproducible sets of informative SNP markers and have been broadly adopted. Although there are many public repositories for sequencing data, which are routinely uploaded, there are no formal repositories for crop SNP array data. To make SNP array data more easily accessible, we have developed CropSNPdb ( http://snpdb.appliedbioinformatics.com.au ), a database for SNP array data produced by the Illumina Infinium? hexaploid bread wheat (Triticum aestivum) 90K and Brassica 60K arrays. We currently host SNPs from datasets covering 526 Brassica lines and 309 bread wheat lines, and provide search, download and upload utilities for users. CropSNPdb provides a useful repository for these data, which can be applied for a range of genomics and molecular crop‐breeding activities.     

The application of DNA microarrays in gene expression analysis

DNA microarray technology is a new and powerful technology that will substantially increase the speed of molecular biological research. This paper gives a survey of DNA microarray technology and its use in gene expression studies. The technical aspects and their potential improvements are discussed. These comprise array manufacturing and design, array hybridisation, scanning, and data handling. Furthermore, it is discussed how DNA microarrays can be applied in the working fields of: safety, functionality and health of food and gene discovery and pathway engineering in plants.     

High density DNA methylation array with single CpG site resolution

We have developed a new generation of genome-wide DNA methylation BeadChip which allows high-throughput methylation profiling of the human genome. The new high density BeadChip can assay over 480K CpG sites and analyze twelve samples in parallel. The innovative content includes coverage of 99% of RefSeq genes with multiple probes per gene, 96% of CpG islands from the UCSC database, CpG island shores and additional content selected from whole-genome bisulfite sequencing data and input from DNA methylation experts. The well-characterized Infinium® Assay is used for analysis of CpG methylation using bisulfite-converted genomic DNA. We applied this technology to analyze DNA methylation in normal and tumor DNA samples and compared results with whole-genome bisulfite sequencing (WGBS) data obtained for the same samples. Highly comparable DNA methylation profiles were generated by the array and sequencing methods (average R² of 0.95). The ability to determine genome-wide methylation patterns will rapidly advance methylation research.     

Recent patents of DNA methylation biomarkers in gastrointestinal oncology

Gastrointestinal malignancies are among the most common malignancies worldwide. Advances in technology and treatment have improved diagnosis and monitoring of these tumors. As a consequence, identification of new biomarkers that can be applied at different levels of disease is urgently needed. DNA methylation is a process in which cytosines acquire a methyl group in 5' position only if they are followed by a guanine. An emerging catalog of specific genes inactivated by DNA methylation in gastrointestinal tumors has been established. In this review we will give a brief overview of the main sources of DNA used to investigate methylation biomarkers and several related patents. One of these is related to multiple genes that predict the risk of development of esophageal adenocarcinoma. Another evaluated methylation status of 24 genes to find one frequently methylated in primary tumors as well as plasma samples from gastric cancer patients. Others patented the epigenetic silencing of miR-342 as a promissory biomarker for colorectal carcinoma. Thus the new field of DNA methylation biomarkers holds the promise of better methods for screening, early detection, disease progression and outcome predictor of therapy response in gastrointestinal oncology.