Genome analysis with gene expression microarrays

Advances in biochemistry, chemistry and engineering have enabled the development of a new gene expression assay. This ‘chip-based’ approach utilizes microscopic arrays of cDNAs printed on glass as high-density hybridization targets. Fluorescent probe mixtures derived from total cellular messenger RNA (mRNA) hybridize to cognate elements on the array, allowing accurate measurement of the expression of the corresponding genes. Array densities of >1,000 cDNAs per cm² enable quantitative expression monitoring of a large number of genes in a single hybridization. A two-color fluorescence detection scheme allows rapid and simultaneous differential expression analysis of independent biological samples. Mass-produced microarrays provide a new tool for genome expression analysis that may revolutionize genetic dissection, drug discovery and human disease diagnostics.     

A reproducible microanalytical method for the detection of specific RNA sequences by dot-blot hybridization

A rapid, microanalytical procedure for the reproducible isolation of RNA from small cultured cell samples and application to dot-blot hybridization is described. The procedure employs guanidine hydrochloride solubilization of whole cells, disruption by syringing, and selective precipitation of RNA with ethanol. The method can be performed in a single tissue culture tube and obviates the need for removal of nuclei or for organic solvent extractions. Recovery of RNA from small cell samples (10(6) cells) is 51%, while 97% of the DNA and 99% of the protein are eliminated by the procedure. Detection of specific RNA by dot-blot hybridization using a labeled probe demonstrates high reproducibility of recovered RNA and lack of "masking" with up to a 10-fold excess of starting cell material. Applicability of the procedure to detection of virus-specific RNA in cells persistently infected with mouse hepatitis virus is described.     

Monitoring cellular responses to Listeria monocytogenes with oligonucleotide arrays

Listeria monocytogenes is a pathogenic intracellular microorganism whose infection induces pleiotropic biological changes associated with host cell gene expression regulation. Here we define the gene expression profiles of the human promyelocytic THP1 cell line before and after L. monocytogenes infection. Gene expression was measured on a large scale via oligonucleotide microarrays with probe sets corresponding to 6,800 human genes. We assessed and discussed the reproducibility of the hybridization signatures. In addition to oligonucleotide arrays, we also performed the large scale gene expression measurement with two high-density membranes, assaying for 588 and 18,376 human genes, respectively. This work allowed the reproducible identification of 74 up-regulated RNAs and 23 down-regulated RNAs as a consequence of L. monocytogenes infection of THP1. The reliability of these data was reinforced by performing independent infections. Some of these detected RNAs were consistent with previous results, while some newly identified RNAs encode gene products that may play key roles in L. monocytogenes infection. These findings will undoubtedly enhance the understanding of L. monocytogenes molecular physiology and may help identify new therapeutic targets.     

An oligonucleotide array to detect genetically modified events in potato

For rapid and simultaneous detection of transgenic elements in genetically modified (GM) food crops, we explored DNA array technology. Forty-four oligonucleotide 23-to 31-mers were selected to use in an array on the basis of melting temperature and sequence specificity. Selected oligonucleotides consisted of DNA fragments corresponding to structural and regulatory elements and selectable markers used in developing transgenic crops, such as potato. Other oligonucleotides represented endogenous genes from potato to serve as positive controls and from heterologous crops, such as soybean and canola, to serve as negative controls. Amino-terminated oligonucleotides were hand-spotted on activated nylon membrane with a commercial spotting device. Target DNA was isolated from foliage of transgenic and nontransgenic crops, including potato, and labeled with digoxigenin-dUTP by random priming following restriction digestion to reduce DNA fragment size. Hybridization signals were visualized by an alkaline phosphatase anti-DIG-Fab conjugate and the chemiluminescent substrate, CDP-star. We detected the presence or absence of transgenic elements in transgenic and nontransgenic potato samples. Preliminary studies demonstrated that more specific and sensitive hybridization signals were generated from an oligonucleotide probe array than from a PCR product array. We anticipate that oligonucleotide probe arrays will be useful for regulatory monitoring of transgenic events.     

LSimpute: accurate estimation of missing values in microarray data with least squares methods

Microarray experiments generate data sets with information on the expression levels of thousands of genes in a set of biological samples. Unfortunately, such experiments often produce multiple missing expression values, normally due to various experimental problems. As many algorithms for gene expression analysis require a complete data matrix as input, the missing values have to be estimated in order to analyze the available data. Alternatively, genes and arrays can be removed until no missing values remain. However, for genes or arrays with only a small number of missing values, it is desirable to impute those values. For the subsequent analysis to be as informative as possible, it is essential that the estimates for the missing gene expression values are accurate. A small amount of badly estimated missing values in the data might be enough for clustering methods, such as hierachical clustering or K-means clustering, to produce misleading results. Thus, accurate methods for missing value estimation are needed. We present novel methods for estimation of missing values in microarray data sets that are based on the least squares principle, and that utilize correlations between both genes and arrays. For this set of methods, we use the common reference name LSimpute. We compare the estimation accuracy of our methods with the widely used KNNimpute on three complete data matrices from public data sets by randomly knocking out data (labeling as missing). From these tests, we conclude that our LSimpute methods produce estimates that consistently are more accurate than those obtained using KNNimpute. Additionally, we examine a more classic approach to missing value estimation based on expectation maximization (EM). We refer to our EM implementations as EMimpute, and the estimate errors using the EMimpute methods are compared with those our novel methods produce. The results indicate that on average, the estimates from our best performing LSimpute method are at least as accurate as those from the best EMimpute algorithm.     

Sequence-specific detection using a universal probe system based on the formation of a four-way junction structure

We have developed a novel hybridization detection system using a universal probe based on the formation of a four-way junction (4WJ) structure. This methodology employs a combination of two sequence-specific probes and a universal quenching probe, and the same universal probe can be used for any target gene, allowing cost-effective assays. This 4WJ detection is ideal for extensive parallel identification of nucleic acids such as in multiplex polymerase chain reaction (PCR) systems. Compared with gel electrophoresis, this detection procedure is not only sensitive and rapid but also free of hazardous chemicals such as ethidium bromide. In addition, the 4WJ hybridization technology is more specific as an identifier than the size of a band on an agarose gel. We used a model multiplex PCR method that detected eight different virulence genes in Escherichia coli isolates, demonstrating that our 4WJ detection system is rapid, sensitive, and specific.     

High-throughput polymorphism screening and genotyping with high-density oligonucleotide arrays

A highly reliable and efficient technology has been developed for high-throughput DNA polymorphism screening and large-scale genotyping. Photolithographic synthesis has been used to generate miniaturized, high-density oligonucleotide arrays. Dedicated instrumentation and software have been developed for array hybridization, fluorescent detection, and data acquisition and analysis. Specific oligonucleotide probe arrays have been designed to rapidly screen human STSs, known genes and full-length cDNAs. This has led to the identification of several thousand biallelic single-nucleotide polymorphisms (SNPs). Meanwhile, a rapid and robust method has been developed for genotyping these SNPs using oligonucleotide arrays. Each allele of an SNP marker is represented on the array by a set of perfect match and mismatch probes. Prototype genotyping chips have been produced to detect 400, 600 and 3000 of these SNPs. Based on the preliminary results, using oligonucleotide arrays to genotype several thousand polymorphic loci simultaneously appears feasible.     

Processing and quality control of DNA array hybridization data

MOTIVATION: The technology of hybridization to DNA arrays is used to obtain the expression levels of many different genes simultaneously. It enables searching for genes that are expressed specifically under certain conditions. However, the technology produces large amounts of data demanding computational methods for their analysis. It is necessary to find ways to compare data from different experiments and to consider the quality and reproducibility of the data. RESULTS: Data analyzed in this paper have been generated by hybridization of radioactively labeled targets to DNA arrays spotted on nylon membranes. We introduce methods to compare the intensity values of several hybridization experiments. This is essential to find differentially expressed genes or to do pattern analysis. We also discuss possibilities for quality control of the acquired data. AVAILABILITY: http://www.dkfz.de/tbi CONTACT: M.Vingron@dkfz-heidelberg.de     

Microarray RNA quantification assay for large-scale nanosamples analysis.

We have developed a convenient and sensitive method for the quantification of RNA in samples from microbiopsies. This procedure is especially suitable for quantitating very small amounts of RNA in large-scale biological samples. This method, using a microarray-spotting facility for the study of multigenic expression, entails the hybridization of a DNA probe with RNA spotted at high density on nylon membrane. Furthermore, with this procedure, the reproducibility, sensitivity, and accuracy of the assay are notably improved as compared to current methods.     

Changes in tumorigenesis- and angiogenesis-related gene transcript abundance profiles in ovarian cancer detected by tailored high density cDNA arrays

BACKGROUND: Complementary DNA array analysis of gene expression has a potential application for clinical diagnosis of disease processes. However, accessibility, affordability, reproducibility of results, and management of the data generated remain issues of concern. Use of cDNA arrays tailored for studies of specific pathways, tissues, or disease states may render a cost- and time-effective method to define potential hallmark genotype alterations. MATERIALS AND METHODS: We produced a 332-membered human cDNA array on nylon membranes tailored for studies of angiogenesis and tumorigenesis in reproductive disease. We tested the system for reproducibility using a novel statistical approach for analysis of array data and employed the arrays to investigate gene expression alterations in ovarian cancer. RESULTS: Intra-assay analysis and removal of agreement outliers was shown to be a critical step prior to interpretation of cDNA array data. The system revealed highly reproducible results, with intermembrane coefficient of reproducibility of +/- 0.98. Comparison of placental and ovarian sample data confirmed expected differences in angiogenic profiles and tissue-specific markers, such as human placental lactogen (hPL). Analysis of expression profiles of five normal ovary and four poorly differentiated serous papillary ovarian adenocarcinoma samples revealed an overall increase in angiogenesis-related markers, including vascular endothelial growth factor (VEGF) and angiopoietin-1 in the diseased tissue. These were accompanied by increases in immune response mediators (e.g. HLA-DR, Ron), apoptotic and neoplastic markers (e.g. BAD protein, b-myb), and novel potential markers of ovarian cancer, such as cofilin, moesin, and neuron-restrictive silencer factor (REST) protein. CONCLUSIONS: In-house production of tailored cDNA arrays, coupled to comprehensive analysis of resulting hybridization profiles, provides an accessible, reliable, and highly effective method of applying array technology to study disease processes. In the ovary, abundance of specific tumor markers, increased macrophage recruitment mediators, a late-stage angiogenesis profile, and the presence of chemoresistance-related markers distinguished normal and advanced ovarian cancer tissue samples. Detection of such parallel changes in pathway- and tissue-specific markers may prove a hallmark ready for application in reproductive disease diagnostic and therapeutic developments.     

Mapping long-range chromatin organization within the chicken alpha-globin gene domain using oligonucleotide DNA arrays

We have analyzed the organization of the chicken alpha-globin gene domain using DNA miniarrays and have found two novel chromatin loop attachment regions. We have found a 40-kb loop domain that includes all the alpha-globin genes in cells of erythroid origin. One of the domain borders colocalizes almost exactly with a strong MAR element and with a block of enhancer-blocking elements found earlier at the upstream end of the alpha-globin gene domain. The domain structure was found to be different in a lymphoid cell line DT40. We propose to use the technique of DNA arrays to map the nuclear matrix attachment sites that define the borders of chromosome loop domains. The technique of DNA arrays permits a large number of DNA sequences to be immobilized on a glass or nylon matrix. This may prove useful for mapping chromatin loop positions within the human genome by using a pool of chromatin loop attachment regions as a probe in a hybridization with a DNA chip containing a specific DNA region.     

Construction of microarrays for genotyping of DQA using unmodified 45-mer oligonucleotide

The human leukocyte antigen (HLA) class II system is strongly connected to immunological response and its compatibility between tissues is critical in transplantation. The simple robust typing analyses of HLA genes are extremely important. In this paper, we developed an approach based on microarray technology for genotyping of DQA gene. The microarrays were constructed with a total 31 unmodified 45-mer oligonucleotide. The second exon of DQA gene was amplified, and allowed to hybridize with the array. DQA genotypes were assigned by quantitative analysis of the hybridization results. The arrays were evaluated by DQA genotyping of nine reference samples and 120 clinical samples. The results demonstrate that the genotyping accuracy/concordance achieved 97.5% compared with the direct DNA sequencing. Although our methods did not perform high-resolution genotyping, it could be an alternative for serological typing in routine medical practice.     

Quartz crystal microbalance (QCM) affinity biosensor for genetically modified organisms (GMOs) detection

A DNA piezoelectric sensor has been developed for the detection of genetically modified organisms (GMOs). Single stranded DNA (ssDNA) probes were immobilised on the sensor surface of a quartz crystal microbalance (QCM) device and the hybridisation between the immobilised probe and the target complementary sequence in solution was monitored. The probe sequences were internal to the sequence of the 35S promoter (P) and Nos terminator (T), which are inserted sequences in the genome of GMOs regulating the transgene expression. Two different probe immobilisation procedures were applied: (a) a thiol-dextran procedure and (b) a thiol-derivatised probe and blocking thiol procedure. The system has been optimised using synthetic oligonucleotides, which were then applied to samples of plasmidic and genomic DNA isolated from the pBI121 plasmid, certified reference materials (CRM), and real samples amplified by the polymerase chain reaction (PCR). The analytical parameters of the sensor have been investigated (sensitivity, reproducibility, lifetime etc.). The results obtained showed that both immobilisation procedures enabled sensitive and specific detection of GMOs, providing a useful tool for screening analysis in food samples.     

Protein expression profiling arrays: tools for the multiplexed high-throughput analysis of proteins

The completion of the human genome sequence has led to a rapid increase in genetic information. The invention of DNA microarrays, which allow for the parallel measurement of thousands of genes on the level of mRNA, has enabled scientists to take a more global view of biological systems. Protein microarrays have a big potential to increase the throughput of proteomic research. Microarrays of antibodies can simultaneously measure the concentration of a multitude of target proteins in a very short period of time. The ability of protein microarrays to increase the quantity of data points in small biological samples on the protein level will have a major impact on basic biological research as well as on the discovery of new drug targets and diagnostic markers. This review highlights the current status of protein expression profiling arrays, their development, applications and limitations.