Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays

Use of transcriptome data to unravel the fine structure of genes involved in sepsis

The sequence of the human genome is providing researchers with the scaffold upon which genes are built. The definition of the boundaries of the genes themselves and of their complex architecture requires a mapping of the transcriptome to the genome. A methodology was developed for generating a detailed transcriptome map and for reconstituting transcripts by using the genome as a template. As a demonstration of the potential of this method, the structure of the human Toll-like receptor (TLR) genes was reevaluated. For all TLR genes for which a genomic sequence was available (i.e., all except TLR10), novel features of the gene structure were discovered. These features include multiple alternative polyadenylation sites, additional exons or splice variants, and overlaps with other genes. These findings have implications for the analysis of TLR gene expression and for the diversity of the proteins encoded by these genes.

Profile of gene expression induced by the tumour promotor TPA in murine epithelial cells

Malignant transformation of mouse skin by chemical carcinogens and tumour promoters, such as the phorbol ester 12-O-tetradecanoylphorbol-13-acetate (TPA), is a multistage process that leads to squamous cell carcinoma (SCC) formation. In an effort to identify tumour-associated genes, we studied the influence of short-term TPA-treatment on the gene expression profile of murine skin. A comprehensive microarray with some 5,000 murine gene specific cDNA fragments was established and hybridised with pooled RNA derived from control and TPA-treated dorsal skin samples. Of these genes, 54 were up- and 35 were down-regulated upon TPA application. Additionally, we performed suppression subtractive hybridisation (SSH) with respective RNA pools to generate and analyse a cDNA library enriched for TPA-inducible genes. Expression data of selected genes were confirmed by quantitative real-time PCR and Northern blot analysis. Comparison of microarray and SSH data revealed that 26% of up-regulated genes identified by expression profiling matched with those present in the SSH library. Besides numerous known genes, we identified a large set of unknown cDNAs that represent previously unrecognised TPA-regulated genes in murine skin with potential function in tumour promotion. Additionally, some TPA-induced genes, such as Sprr1A, Saa3, JunB, Il4ralpha, Gp38, RalGDS and Slpi exhibit high basal level in advanced stages of skin carcinogenesis, suggesting that at least a subgroup of the identified TPA-regulated genes may contribute to tumour progression and metastasis.

DNA microarrays: translation of the genome from laboratory to clinic

As the complete sequences of human and other mammalian genomes become available we are faced with the challenge of understanding how variation in sequence and gene expression contributes to neurological and psychiatric disorders. DNA microarrays, or DNA chips, provide the means to measure simultaneously where and when thousands of genes are expressed. Microarrays are changing the way that researchers approach work at the bench and have already yielded new insights into brain tumours, multiple sclerosis, acute neurological insults such as stroke and seizures, and schizophrenia. The study of disease-related changes in gene expression is the first step in the long process in translation of genome research to the clinic. Eventually, the changes observed in microarray studies will need to be independently confirmed and we wil need to understand how gene expression changes translate into functional effects at the cellular level in the nervous system. Progress in these studies will translate into array-based disease classification schemes and help optimise therapy for individual patients based on gene expression patterns or their genetic background.

Measurement of the number of molecules of a single mRNA species in a complex mRNA preparation

The normalization of data obtained from hybridization experiments with DNA chips to determine mRNA expression and concentration (gene expression profiling) is an unsolved problem. Furthermore, slight changes in mRNA expression or small numbers of mRNA molecules which may be relevant to disease cannot be detected so far. We have designed a method to calculate the number of molecules of a single mRNA species in a complex mRNA preparation. The basic concept is the transformation of a quantitative problem into a qualitative problem. Individual molecules pertaining to the same molecular species (IMPSMS) are transformed to a mixture of new different molecular species (DMS) and amplified. We propose two implementations of the method. The first procedure is based on a method for cloning tagged nucleic acid molecules onto the surface of micro-beads. It should be possible to transform and determine up to 10(6) IMPSMS into new DMS. The second strategy uses multimeric linkers, a method frequently used in DNA computing to assemble random DNA. The second strategy should be easier to implement but is limited to a few hundred IMPSMS.

Comprehensive sampling of gene expression in human cell lines with massively parallel signature sequencing

Whereas information is rapidly accumulating about the structure and position of genes encoded in the human genome, less is known about the complexity and relative abundance of their expression in individual human cells and tissues. Here, we describe the characteristics of the transcriptomes of two cultured cell lines, HB4a (normal breast epithelium) and HCT-116 (colon adenocarcinoma), using massively parallel signature sequencing (MPSS). We generated in excess of 10(7) short signature sequences per cell line, thus providing a comprehensive snapshot of gene expression, within the technical limitations of the method. The number of genes expressed at one copy per cell or more in either of the lines was estimated to be between 10,000 and 15,000. The vast majority of the transcripts found in these cells can be mapped to known genes and their polyadenylation variants. Among the genes that could be identified from their signature sequences, approximately 8,500 were expressed by both cell lines, whereas 6,000 showed cellular specificity. Taking into account sequence tags that map uniquely to the genome but not to known transcripts, overall the data are consistent with an upper limit of 17,000 for the total number of genes expressed at more than one copy per cell in one or both of the two cell lines examined.

Immobilized particle arrays: coalescence of planar- and suspension-array technologies

Combining positive attributes of planar arrays and suspension arrays, immobilized particle arrays offer a new format in which immobilized submicrometer particles are arrayed on hydrogel-coated slides, providing 100+ assay replicates within each spot. This research describes how to prepare immobilized protein arrays and how to assay the binding of labeled target molecules to the arrayed capture probes. The assay system exhibits an intrinsic dynamic range of two to three decades, with coefficients of variation from 5 to 10%. For antibody-antigen binding, target capture appears to be reaction rate limited. For labeled antibody binding to antigen on the immobilized particles, the detection limit is approximately 0.5 ng/mL. When antibodies on the immobilized particles exhibit multivalent binding of target molecules, the detection limit is approximately 0.01 ng/mL. For protein arrays, potential advantages of this format are improved coating of the capture reagent, an increased number of options for protein presentation, reduced mass transport effects, and higher density multiplexing.

Identification and removal of contaminating fluorescence from commercial and in-house printed DNA microarrays

Microarray analysis is a critically important technology for genome-enabled biology, therefore it is essential that the data obtained be reliable. Current software and normalization techniques for microarray analysis rely on the assumption that fluorescent background within spots is essentially the same throughout the glass slide and can be measured by fluorescence surrounding the spots. This assumption is not valid if background fluorescence is spot-localized. Inaccurate estimates of background fluorescence under the spot create a source of error, especially for low expressed genes. We have identified spot-localized, contaminating fluorescence in the Cy3 channel on several commercial and in-house printed microarray slides. We determined through mock hybridizations (without labeled target) that pre-hybridization scans could not be used to predict the contribution of this contaminating fluorescence after hybridization because the change in spot-to-spot fluorescence after hybridization was too variable. Two solutions to this problem were identified. First, allowing 4 h of exposure to air prior to printing on to Corning UltraGAPS slides significantly reduced contaminating fluorescence intensities to approximately the value of the surrounding glass. Alternatively, application of a novel, hyperspectral imaging scanner and multivariate curve resolution algorithms, allowed the spectral contributions of Cy3 signal, glass, and contaminating fluorescence to be distinguished and quantified after hybridization.

A photocleavable fluorescent nucleotide for DNA sequencing and analysis

DNA sequencing by synthesis during a polymerase reaction using laser-induced fluorescence detection is an approach that has a great potential to increase the throughput and data quality of DNA sequencing. We report the design and synthesis of a photocleavable fluorescent nucleoside triphosphate, one of the essential molecules required for the sequencing-by-synthesis approach. We synthesized this nucleoside triphosphate by attaching a fluorophore, 4,4-difluoro-5,7-dimethyl-4-bora-3alpha,4alpha-diaza-s-indacene propionic acid (BODIPY), to the 5 position of 2'-deoxyuridine triphosphate via a photocleavable 2-nitrobenzyl linker. We demonstrate that the nucleotide analogue can be faithfully incorporated by a DNA polymerase Thermo Sequenase into the growing DNA strand in a DNA-sequencing reaction and that its incorporation does not hinder the addition of the subsequent nucleotide. These results indicate that the nucleotide analogue is an excellent substrate for Thermo Sequenase. We also systematically studied the photocleavage of the fluorescent dye from a DNA molecule that contained the nucleotide analogue. UV irradiation at 340 nm of the DNA molecule led to the efficient release of the fluorescent dye, ensuring that a previous fluorescence signal did not leave any residue that could interfere with the detection of the next nucleotide. Thus, our results indicate that it should be feasible to use four different fluorescent dyes with distinct fluorescence emissions as unique tags to label the four nucleotides (A, C, G, and T) through the photocleavable 2-nitrobenzyl linker. These fluorescent tags can be removed easily by photocleavage after the identification of each nucleotide in the DNA sequencing-by-synthesis approach.

NotI passporting to identify species composition of complex microbial systems

We describe here a new method for large-scale scanning of microbial genomes on a quantitative and qualitative basis. To achieve this aim we propose to create NotI passports: databases containing NotI tags. We demonstrated that these tags comprising 19 bp of sequence information could be successfully generated using DNA isolated from intestinal or fecal samples. Such NotI passports allow the discrimination between closely related bacterial species and even strains. This procedure for generating restriction site tagged sequences (RSTS) is called passporting and can be adapted to any other rare cutting restriction enzyme. A comparison of 1312 tags from available sequenced Escherichia coli genomes, generated with the NotI, PmeI and SbfI restriction enzymes, revealed only 219 tags that were not unique. None of these tags matched human or rodent sequences. Therefore the approach allows analysis of complex microbial mixtures such as in human gut and identification with high accuracy of a particular bacterial strain on a quantitative and qualitative basis.

Systems biology: integrating technology, biology, and computation

The Human Genome Project has changed the worlds of biology and medicine-helping to catalyze two major paradigm changes: systems biology and predictive, preventive and personalized medicine. These two themes will dominate 21st century biology and medicine. I will discuss these changes and indicate how they may interface with with the process of aging.

Gene expression profiling: methodological challenges, results, and prospects for addiction research

This review describes the current methods used to profile gene expression. These methods include microarrays, spotted arrays, serial analysis of gene expression (SAGE), and massive parallel signature sequencing (MPSS). Methodological and statistical problems in interpreting microarray and spotted array experiments are also discussed. Methods and formats such as minimum information about microarray experiments (MIAME) needed to share gene expression data are described. The last part of the review provides an overview of the application of gene-expression profiling technology to substance abuse research and discusses future directions.

Functional genomics approaches for the identification and validation of antifungal drug targets

So far, antifungal drug discovery seems to have benefited little from the enormous advances in the field of genomics in the last decade. Although it has become clear that traditional drug screening is not delivering the long-awaited novel potent antifungals, little has been reported on efforts to use novel genome-based methodologies in the quest for new drugs acting on human pathogenic fungi. Although the market for a novel systemic and even topical broad-spectrum antifungal appears considerable, many large pharmaceutical companies have decided to scale back their activities in antifungal drug discovery. Here we report on some of the recent advances in genomics-based technologies that will allow us not only to identify and validate novel drug targets but hopefully also to discover active therapeutic agents. Novel drug targets have already been found by 'en masse' gene inactivation strategies (e.g. using antisense RNA inhibition). In addition, genome expression profiling using DNA microarrays helps to assign gene function but also to understand better the mechanism of action of known drugs (e.g. itraconazole) and to elucidate how new drug candidates work. No doubt, we have a long way to go just to catch up with the advances made in other therapeutic areas, but all tools are at hand to derive practical benefits from the genomics revolution. The next few years should prove a very exciting time in the history of antifungal drug discovery.

Genome-wide gene expression profiling in Arabidopsis thaliana reveals new targets of abscisic acid and largely impaired gene regulation in the abi1-1 mutant

The phytohormone abscisic acid (ABA) plays important regulatory roles in many plant developmental processes including seed dormancy, germination, growth, and stomatal movements. These physiological responses to ABA are in large part brought about by changes in gene expression. To study genome-wide ABA-responsive gene expression we applied massively parallel signature sequencing (MPSS) to samples from Arabidopsis thaliana wildtype (WT) and abi1-1 mutant seedlings. We identified 1354 genes that are either up- or downregulated following ABA treatment of WT seedlings. Among these ABA-responsive genes, many encode signal transduction components. In addition, we identified novel ABA-responsive gene families including those encoding ribosomal proteins and proteins involved in regulated proteolysis. In the ABA-insensitive mutant abi1-1, ABA regulation of about 84.5% and 6.9% of the identified genes was impaired or strongly diminished, respectively; however, 8.6% of the genes remained appropriately regulated. Compared to other methods of gene expression analysis, the high sensitivity and specificity of MPSS allowed us to identify a large number of ABA-responsive genes in WT Arabidopsis thaliana. The database given in our supplementary material (http://jcs.biologists.org/supplemental) provides researchers with the opportunity to rapidly assess whether genes of interest may be regulated by ABA. Regulation of the majority of the genes by ABA was impaired in the ABA-insensitive mutant abi1-1. However, a subset of genes continued to be appropriately regulated by ABA, which suggests the presence of at least two ABA signaling pathways, only one of which is blocked in abi1-1.

Kindling-induced overexpression of Homer 1A and its functional implications for epileptogenesis

Despite an extensive research on the molecular basis of epilepsy, the essential players in the epileptogenic process leading to epilepsy are not known. Gene expression analysis is one strategy to enhance our understanding of the genes contributing to the functional neuronal changes underlying epileptogenesis. In the present study, we used the novel MPSS (massively parallel signature sequencing) method for analysis of gene expression in the rat kindling model of temporal lobe epilepsy. Kindling by repeated electrical stimulation of the amygdala resulted in the differential expression of 264 genes in the hippocampus compared to sham controls. The most strongly induced gene was Homer 1A, an immediate early gene involved in the modulation of glutamate receptor function. The overexpression of Homer 1A in the hippocampus of kindled rats was confirmed by RT-PCR. In order to evaluate the functional implications of Homer 1A overexpression for kindling, we used transgenic mice that permanently overexpress Homer 1A. Immunohistochemical characterization of these mice showed a marked Homer 1A overexpression in glutamatergic neurons of the hippocampus. Kindling of Homer 1A overexpressing mice resulted in a retardation of seizure generalization compared to wild-type controls. The data demonstrate that kindling-induced epileptogenesis leads to a striking overexpression of Homer 1A in the hippocampus, which may represent an intrinsic antiepileptogenic and anticonvulsant mechanism in the course of epileptogenesis that counteracts progression of the disease.

Biological models and genes of tumor reversion: cellular reprogramming through tpt1/TCTP and SIAH-1

Tumor reversion is the process by which some cancer cells lose their malignant phenotype. This study was aimed at defining some of the molecular and phenotypic properties of this process. Biological models of tumor reversion were isolated from human leukemia and breast cancer cell lines by using the H-1 parvovirus as a selective agent. Differential gene expression analysis was performed between the parental malignant cells and their revertants or alternatively between these parental cells and their SIAH-1 transfectant counterparts. These SIAH-1 transfectants have a suppressed malignant phenotype and were used as a control for a viral-free system. Two hundred sixty-three genes were found to be either activated or inhibited during the reversion process, as confirmed by Northern blot analysis or quantitative PCR. Of these, 32% were differentially expressed in all systems, irrespective of whether parvovirus-selected, SIAH-1 overexpressing, or p53 mutant or wild-type cell lines were used, suggesting the existence of a universal mechanism underlying tumor reversion. Translationally Controlled Tumor Protein (tpt1/TCTP) has the strongest differential expression, down-regulated in the reversion of U937- and SIAH-1-overexpressing cells. Inhibition of TCTP expression by anti-sense cDNA or small interfering RNA molecules results in suppression of the malignant phenotype and in cellular reorganization, similar to the effect of SIAH-1. Hence, tumor reversion can be defined at the molecular level, not just as the reversal of malignant transformation, but as a biological process in its own right involving a cellular reprogramming mechanism, overriding genetic changes in cancer, by triggering an alternative pathway leading to suppression of tumorigenicity.

Yellow pages to the transcriptome

Transcriptomics has become an important tool for the large-scale analysis of biological processes. This review aims to provide sufficient criteria to make an appropriate choice among the variety of 'closed' systems, represented by DNA microarrays, and 'open' systems like fragment display, tag sequencing and subtractive hybridization, depending on the biological system under investigation. The most important technologies currently available are presented, their strengths and weaknesses are discussed and companies active in the field are listed. The potential of transcriptomics in the pharmaceutical research and development process is highlighted by applications in oncology, research on neurological diseases, and predictive toxicology. Finally, a prognosis for future developments of the technologies is given.

Gene expression profiling with DNA microarrays: advancing our understanding of psychiatric disorders

DNA microarray transcriptome profiling of the postmortem brain opens novel horizons in understanding molecular changes associated with complex psychiatric disorders. With careful analysis and interpretation of microarray data we are uncovering previously unknown, expression patterns that maybe subject-specific and pivotal in understanding the disease process. In our recent studies, analyses of the prefrontal cortex of subjects with schizophrenia and matched controls uncovered complex changes in the expression of genes related to presynaptic secretory release, GABAergic and glutamatergic transmission, metabolic pathways, myelination, as well as cAMP and phosphoinositol second messenger systems. Our goal will be to integrate this expression data within the context of the relevant anatomical, biochemical, molecular, imaging and clinical findings.

Coulomb blockage of hybridization in two-dimensional DNA arrays

Experiments on DNA microarrays have revealed substantial differences in hybridization thermodynamics between DNA free in solution and surface tethered DNA. Here we develop a mean field model of the Coulomb effects in two-dimensional DNA arrays to understand the binding isotherms and thermal denaturation of the double helix. We find that the electrostatic repulsion of the assayed nucleic acid from the array of DNA probes dominates the binding thermodynamics, and thus causes the Coulomb blockage of the hybridization. The results explain, observed in DNA microarrays, the dramatic decrease of the hybridization efficiency and the thermal denaturation curve broadening as the probe surface density grows. We demonstrate application of the theory for evaluation and optimization of the sensitivity, specificity, and the dynamic range of DNA array devices.

Imaging optical sensor arrays

Imaging optical fibres have been etched to prepare microwell arrays. These microwells have been loaded with sensing materials such as bead-based sensors and living cells to create high-density sensor arrays. The extremely small sizes and volumes of the wells enable high sensitivity and high information content sensing capabilities.

TIR-X and TIR-NBS proteins: two new families related to disease resistance TIR-NBS-LRR proteins encoded in Arabidopsis and other plant genomes

The Toll/interleukin-1 receptor (TIR) domain is found in one of the two large families of homologues of plant disease resistance proteins (R proteins) in Arabidopsis and other dicotyledonous plants. In addition to these TIR-NBS-LRR (TNL) R proteins, we identified two families of TIR-containing proteins encoded in the Arabidopsis Col-0 genome. The TIR-X (TX) family of proteins lacks both the nucleotide-binding site (NBS) and the leucine rich repeats (LRRs) that are characteristic of the R proteins, while the TIR-NBS (TN) proteins contain much of the NBS, but lack the LRR. In Col-0, the TX family is encoded by 27 genes and three pseudogenes; the TN family is encoded by 20 genes and one pseudogene. Using massively parallel signature sequencing (MPSS), expression was detected at low levels for approximately 85% of the TN-encoding genes. Expression was detected for only approximately 40% of the TX-encoding genes, again at low levels. Physical map data and phylogenetic analysis indicated that multiple genomic duplication events have increased the numbers of TX and TN genes in Arabidopsis. Genes encoding TX, TN and TNL proteins were demonstrated in conifers; TX and TN genes are present in very low numbers in grass genomes. The expression, prevalence, and diversity of TX and TN genes suggests that these genes encode functional proteins rather than resulting from degradation or deletions of TNL genes. These TX and TN proteins could be plant analogues of small TIR-adapter proteins that function in mammalian innate immune responses such as MyD88 and Mal.

Global analysis of gene expression: methods, interpretation, and pitfalls

Over the past 15 years, global analysis of mRNA expression has emerged as a powerful strategy for biological discovery. Using the power of parallel processing, robotics, and computer-based informatics, a number of high-throughput methods have been devised. These include DNA microarrays, serial analysis of gene expression, quantitative RT-PCR, differential-display RT-PCR, and massively parallel signature sequencing. Each of these methods has inherent advantages and disadvantages, often related to expense, technical difficulty, specificity, and reliability. Further, the ability to generate large data sets of gene expression has led to new challenges in bioinformatics. Nonetheless, this technological revolution is transforming disease classification, gene discovery, and our understanding of regulatory gene networks.

DNA probes on beads arrayed in a capillary, 'Bead-array', exhibited high hybridization performance

A DNA analysis platform called 'Bead-array' is presented and its features when used in hybridization detection are shown. In 'Bead-array', beads of 100- micro m diameter are lined in a determined order in a capillary. Each bead is conjugated with DNA probes, and can be identified by its order in the capillary. This probe array is easily produced by just arraying beads conjugated with probes into the capillary in a fixed order. The hybridization is also easily completed by introducing samples (1-300 micro l) into the capillary with reciprocal flow. For hybridization detection, as little as 1 amol of fluorescent-labeled oligo DNA was detected. The hybridization reaction was completed in 1 min irrespective of the amount of target DNA. When the number of target molecules was smaller than that of probe molecules on the bead, 10 fmol, almost all targets were captured on the bead. 'Bead-array' enables reliable and reproducible measurement of the target quantity. This rapid and sensitive platform seems very promising for various genetic testing tasks.

Pyrosequencing technology and the need for versatile solutions in molecular clinical research

An increasing amount of genetic information is rapidly becoming available to the practitioners of medicine and pharmacology. This knowledge promises to revolutionize the determination of diagnoses and prognoses for genetically-based disorders as well as infectious diseases and to enable tailoring of treatment to suit the individual patient. As genomics becomes ripe for clinical implementation, versatile technologies that can handle all the relevant types of analyses will be requested by many clinicians. The recently established Pyrosequencing technology for rapid determination of short DNA sequences has gained widespread acceptance and is being used in a broad range of applications. It can provide a solution for many emerging issues in molecular clinical research and applications, owing to its reliability and high flexibility together with its user-friendly attributes.

A nanobiotechnology roadmap for high-throughput single nucleotide polymorphism analysis

Genetic analysis based on single nucleotide polymorphisms (SNPs) has the potential to enable identification of genes associated with disease susceptibility, to facilitate improved understanding and diagnosis of those diseases, and should ultimately contribute to the provision of new therapies. To achieve this end, new technology platforms are required that can increase genotyping throughput, while simultaneously reducing costs by as much as two orders of magnitude. Development of a variety of genotyping platforms with the potential to resolve this dilemma is already well advanced through research in the field of nanobiotechnology. Novel approaches to DNA extraction and amplification have reduced the times required for these processes to seconds. Microfluidic devices enable polymorphism detection through very rapid fragment separation using capillary electrophoresis and high-performance liquid chromatography, together with mixing and transport of reagents and biomolecules in integrated systems. The potential for application of established microelectronic fabrication processes to genetic analyses systems has been demonstrated (e.g. photolithography-based in situ synthesis of oligonucleotides on microarrays). Innovative application of state-of-the-art photonics and integrated circuitry are leading to improved detection capabilities. The diversity of genotyping applications envisaged in the future, ranging from the very high-throughput requirements for drug discovery through to rapid and cheap near-patient genotype analysis, suggests that several SNP genotyping platforms will be necessary to optimally address the different niches.

New horizons in the development of antiepileptic drugs

Significant advances have been made in the treatment of epilepsy over the past decades. However, despite the development of various novel antiepileptic drugs, about one third of patients with epilepsy is resistant to current pharmacotherapies. Even in patients in whom pharmacotherapy is efficacious, current antiepileptic drugs do not seem to affect the progression or underlying natural history of epilepsy. Furthermore, there is currently no drug available which prevents the development of epilepsy, e.g. after head trauma. Thus, there are at least three important goals for the future. (1) Better understanding of processes leading to epilepsy, thus allowing to create therapies aimed at the prevention of epilepsy in patients at risk; (2) improved understanding of biological mechanisms of pharmacoresistance, allowing to develop drugs for reversal or prevention of resistance; and (3) development of disease-modifying therapies, inhibiting the progression of epilepsy. The ultimate goal would be a drug combining these three properties, thus resulting in a complete cure for epilepsy. In this review, the current status of antiepileptic therapies is critically assessed, and innovative approaches for future therapies are highlighted.

Measuring absolute expression with microarrays with a calibrated reference sample and an extended signal intensity range

Gene expression ratios derived from spotted-glass microarray experiments have become invaluable to researchers by providing sensitive and comprehensive indicators of the molecular underpinnings of cell behaviors and states. However, several drawbacks to this form of data have been noted, including the inability to relate ratios to absolute expression levels or to compare experimental conditions not measured with the same control. In this study we demonstrate a method for overcoming these obstacles. First, instead of cohybridizing labeled experimental and control samples, we hybridize each sample against labeled oligos complementary to every microarray feature. Ratios between sample intensities and intensities of the oligo reference measure sample RNA levels on a scale that relates to their absolute abundance, instead of to the variable and unknown abundances of a cDNA reference. We demonstrate that results from this type of hybridization are accurate and retain absolute abundance information far better than conventional microarray ratios. Next, to ensure the accurate measurement of sample and oligo reference intensities, which may differ by several orders of magnitude, we use a linear regression algorithm, implemented in a freely available PERL script, to combine the linear ranges of multiple scans taken at different scanner sensitivity settings onto an extended linear scale. We discuss future applications of our method to measure RNA expression on the absolute scale of number of transcripts per cell from any organism for which oligo-based spotted-glass microarrays are available.

Differential display in the time of microarrays

A brief overview of major methods used for genome-wide expression profiling is presented. Special attention is devoted to ordered differential display, subtractive hybridization and DNA microarrays. Future prospects of comparative gene expression studies using combinations of differential display methods and microarray technology are outlined.

Gene expression analysis by signature pyrosequencing

We describe a novel method for transcript profiling based on high-throughput parallel sequencing of signature tags using a non-gel-based microtiter plate format. The method relies on the identification of cDNA clones by pyrosequencing of the region corresponding to the 3'-end of the mRNA preceding the poly(A) tail. Simultaneously, the method can be used for gene discovery, since tags corresponding to unknown genes can be further characterized by extended sequencing. The protocol was validated using a model system for human atherosclerosis. Two 3'-tagged cDNA libraries, representing macrophages and foam cells, which are key components in the development of atherosclerotic plaques, were constructed using a solid phase approach. The libraries were analyzed by pyrosequencing, giving on average 25 bases. As a control, conventional expressed sequence tag (EST) sequencing using slab gel electrophoresis was performed. Homology searches were used to identify the genes corresponding to each tag. Comparisons with EST sequencing showed identical, unique matches in the majority of cases when the pyrosignature was at least 18 bases. A visualization tool was developed to facilitate differential analysis using a virtual chip format. The analysis resulted in identification of genes with possible relevance for development of atherosclerosis. The use of the method for automated massive parallel signature sequencing is discussed.

The defective kernel 1 (dek1) gene required for aleurone cell development in the endosperm of maize grains encodes a membrane protein of the calpain gene superfamily

Endosperm of cereal grains is one of the most important renewable resources for food, feed, and industrial raw material. It consists of four triploid cell types, i.e., aleurone, starchy endosperm, transfer cells, and cells of the embryo surrounding region. In maize, the aleurone layer is one cell layer thick and covers most of the perimeter of the endosperm. Specification of maize aleurone cell fate is proposed to occur through activation of the tumor necrosis factor receptor-like receptor kinase CRINKLY4. A second maize gene essential for aleurone cell development is defective kernel 1 (dek1). Here we show that DEK1 shares high homology with animal calpains. The predicted 2,159-aa DEK1 protein has 21 transmembrane regions, an extracellular loop, and a cysteine proteinase domain that shares high homology with domain II of m-calpain from animals. We propose that DEK1 functions to maintain and restrict the aleurone cell fate imposed by CR4 through activation of its cysteine proteinase by contact with the outer endosperm surface. DEK1 seems to be the only member of the calpain superfamily in plants, Arabidopsis DEK1 sharing 70% overall identity with maize DEK1. The expression of dek1 in most plant tissues in maize and Arabidopsis, as well as its presence in a variety of higher plants, including angiosperms and gymnosperms, suggests that DEK1 plays a conserved role in plant signal transduction.

Digital analysis of cDNA abundance; expression profiling by means of restriction fragment fingerprinting

BACKGROUND

Gene expression profiling among different tissues is of paramount interest in various areas of biomedical research. We have developed a novel method (DADA, Digital Analysis of cDNA Abundance), that calculates the relative abundance of genes in cDNA libraries.

RESULTS

DADA is based upon multiple restriction fragment length analysis of pools of clones from cDNA libraries and the identification of gene-specific restriction fingerprints in the resulting complex fragment mixtures. A specific cDNA cloning vector had to be constructed that governed missing or incomplete cDNA inserts which would generate misleading fingerprints in standard cloning vectors. Double stranded cDNA was synthesized using an anchored oligo dT primer, uni-directionally inserted into the DADA vector and cDNA libraries were constructed in E. coli. The cDNA fingerprints were generated in a PCR-free procedure that allows for parallel plasmid preparation, labeling, restriction digest and fragment separation of pools of 96 colonies each. This multiplexing significantly enhanced the throughput in comparison to sequence-based methods (e.g. EST approach). The data of the fragment mixtures were integrated into a relational database system and queried with fingerprints experimentally produced by analyzing single colonies. Due to limited predictability of the position of DNA fragments on the polyacrylamid gels of a given size, fingerprints derived solely from cDNA sequences were not accurate enough to be used for the analysis. We applied DADA to the analysis of gene expression profiles in a model for impaired wound healing (treatment of mice with dexamethasone).

CONCLUSIONS

The method proved to be capable of identifying pharmacologically relevant target genes that had not been identified by other standard methods routinely used to find differentially expressed genes. Due to the above mentioned limited predictability of the fingerprints, the method was yet tested only with a limited number of experimentally determined fingerprints and was able to detect differences in gene expression of transcripts representing 0.05% of the total mRNA population (e.g. medium abundant gene transcripts).

New DNA sequencing methods

The Human Genome Project and other major genomic sequencing projects have pushed the development of sequencing technology. In the past six years alone, instrument throughput has increased 15-fold. New technologies are now on the horizon that could yield massive increases in our capacity for de novo DNA sequencing. This review presents a summary of state-of-the-art technologies for genomic sequencing and describes technologies that may be candidates for the next generation of DNA sequencing instruments.

AFLP-based transcript profiling

This unit presents an alternative to differential display that allows the quantification of transcripts, based on AFLP-fingerprinting of double-stranded cDNA. The protocol described includes the following steps: the isolation of poly(A)+ RNA from total RNA, the synthesis of double-stranded cDNA, the preparation of template fragments by digestion of the cDNA library with a combination of two restriction enzymes and the ligation of adaptors to the fragment ends, the selective amplification of specific subsets of fragments, and the electrophoretic analysis of these amplification products on standard denaturing polyacrylamide gels. The transcript profiles obtained by this technique are a reliable and efficient tool to identify differentially expressed mRNAs. This unit presents an alternative to differential display that allows the quantification of transcripts, based on AFLP-finger his unit presents an alternative to differential display that allows the quantification of transcripts, based on AFLP-finger.

Applying genomics technologies to neural development

Genomic technologies have evolved from a minority interest to a set of generally applicable, powerful tools. Recent studies have demonstrated that such tools are of great use in studies of neural development, particularly when allied to advances in data analysis and methods for analyzing gene function.

A new approach to genome mapping and sequencing: slalom libraries

We describe here an efficient strategy for simultaneous genome mapping and sequencing. The approach is based on physically oriented, overlapping restriction fragment libraries called slalom libraries. Slalom libraries combine features of general genomic, jumping and linking libraries. Slalom libraries can be adapted to different applications and two main types of slalom libraries are described in detail. This approach was used to map and sequence (with approximately 46% coverage) two human P1-derived artificial chromosome (PAC) clones, each of approximately 100 kb. This model experiment demonstrates the feasibility of the approach and shows that the efficiency (cost-effectiveness and speed) of existing mapping/sequencing methods could be improved at least 5-10-fold. Furthermore, since the efficiency of contig assembly in the slalom approach is virtually independent of length of sequence reads, even short sequences produced by rapid, high throughput sequencing techniques would suffice to complete a physical map and a sequence scan of a small genome.

A new approach to decoding life: systems biology

Systems biology studies biological systems by systematically perturbing them (biologically, genetically, or chemically); monitoring the gene, protein, and informational pathway responses; integrating these data; and ultimately, formulating mathematical models that describe the structure of the system and its response to individual perturbations. The emergence of systems biology is described, as are several examples of specific systems approaches.

The Celera Discovery System

The Celera Discovery System (CDS) is a web-accessible research workbench for mining genomic and related biological information. Users have access to the human and mouse genome sequences with annotation presented in summary form in BioMolecule Reports for genes, transcripts and proteins. Over 40 additional databases are available, including sequence, mapping, mutation, genetic variation, mRNA expression, protein structure, motif and classification data. Data are accessible by browsing reports, through a variety of interactive graphical viewers, and by advanced query capability provided by the LION SRS search engine. A growing number of sequence analysis tools are available, including sequence similarity, pattern searching, multiple sequence alignment and Hidden Markov Model search. A user workspace keeps track of queries and analyses. CDS is widely used by the academic research community and requires a subscription for access. The system and academic pricing information are available at http://cds.celera.com.

Suspension array technology: evolution of the flat-array paradigm

Suspension arrays of microspheres analyzed using flow cytometry offer a new approach to multiplexed assays for large-scale screening applications. By optically encoding micron-sized polymer particles, suspension microarrays can be created to enable highly multiplexed analysis of complex samples. Each element in the array is comprised of a subpopulation of particles with distinct optical properties and each array element bears a different surface receptor. Nucleic acids, proteins, lipids or carbohydrates can serve as receptors to support the analysis of a wide range of biomolecular assemblies, and applications in genomic and proteomic research are being developed. Coupled with recent innovations for rapid serial analysis of samples, molecular analysis with microsphere arrays holds significant potential as a general analysis platform for both research and clinical applications.

Nontargeted metabolome analysis by use of Fourier Transform Ion Cyclotron Mass Spectrometry

Advanced functional genomic tools now allow the parallel and high-throughput analyses of gene and protein expression. Although this information is crucial to our understanding of gene function, it offers insufficient insight into phenotypic changes associated with metabolism. Here we introduce a high-capacity Fourier Transform Ion Cyclotron Mass Spectrometry (FTMS)-based method, capable of nontargeted metabolic analysis and suitable for rapid screening of similarities and dissimilarities in large collections of biological samples (e.g., plant mutant populations). Separation of the metabolites was achieved solely by ultra-high mass resolution; Identification of the putative metabolite or class of metabolites to which it belongs was achieved by determining the elemental composition of the metabolite based upon the accurate mass determination; and relative quantitation was achieved by comparing the absolute intensities of each mass using internal calibration. Crude plant extracts were introduced via direct (continuous flow) injection and ionized by either electrospray ionization (ESI) or atmospheric pressure chemical ionization (APCI) in both positive or negative ionization modes. We first analyzed four consecutive stages of strawberry fruit development and identified changes in the levels of a large range of masses corresponding to known fruit metabolites. The data also revealed novel information on the metabolic transition from immature to ripe fruit. In another set of experiments, the method was used to track changes in metabolic profiles of tobacco flowers overexpressing a strawberry MYB transcription factor and altered in petal color. Only nine masses appeared different between transgenic and control plants, among which was the mass corresponding to cyanidin-3-rhamnoglucoside, the main flower pigment. The results demonstrate the feasibility and utility of the FTMS approach for a nontargeted and rapid metabolic "fingerprinting," which will greatly speed up current efforts to study the metabolome and derive gene function in any biological system.

Large-scale gene-expression studies and the challenge of multiple sclerosis

In multiple sclerosis, a complex neurodegenerative disorder, a combination of genetic and environmental factors results in inflammation and myelin damage. Recent transcription-profiling studies have found distinct gene-expression patterns in diseased tissue; such large-scale studies at different stages of the disease are contributing to understanding multiple sclerosis and developing effective therapy.

Building the wall: genes and enzyme complexes for polysaccharide synthases

The complete sequence of the Arabidopsis genome has revealed a total of 40 cellulose synthase (CesA) and cellulose synthase-like (Csl) genes. Recent studies suggest that each CESA polypeptide contains only one catalytic center, and that two or more polypeptides from different genes might be needed to form a functional cellulose synthase complex.

Gene expression microarray analysis in cancer biology, pharmacology, and drug development: progress and potential

With the imminent completion of the Human Genome Project, biomedical research is being revolutionised by the ability to carry out investigations on a genome wide scale. This is particularly important in cancer, a disease that is caused by accumulating abnormalities in the sequence and expression of a number of critical genes. Gene expression microarray technology is gaining increasingly widespread use as a means to determine the expression of potentially all human genes at the level of messenger RNA. In this commentary, we review developments in gene expression microarray technology and illustrate the progress and potential of the methodology in cancer biology, pharmacology, and drug development. Important applications include: (a) development of a more global understanding of the gene expression abnormalities that contribute to malignant progression; (b) discovery of new diagnostic and prognostic indicators and biomarkers of therapeutic response; (c) identification and validation of new molecular targets for drug development; (d) provision of an improved understanding of the molecular mode of action during lead identification and optimisation, including structure-activity relationships for on-target versus off-target effects; (e) prediction of potential side-effects during preclinical development and toxicology studies; (f) confirmation of a molecular mode of action during hypothesis-testing clinical trials; (g) identification of genes involved in conferring drug sensitivity and resistance; and (h) prediction of patients most likely to benefit from the drug and use in general pharmacogenomic studies. As a result of further technological improvements and decreasing costs, the use of microarrays will become an essential and potentially routine tool for cancer and biomedical research.

SNP genotyping by multiplexed solid-phase amplification and fluorescent minisequencing

The emerging role of single-nucleotide polymorphisms (SNPs) in clinical association and pharmacogenetic studies has created a need for high-throughput genotyping technologies. We describe a novel method for multiplexed genotyping of SNPs that employs PCR amplification on microspheres. Oligonucleotide PCR primers were designed for each polymorphic locus such that one of the primers contained a recognition site for BbvI (a type IIS restriction enzyme), followed by 11 nucleotides of locus-specific sequence, which reside immediately upstream of the polymorphic site. Following amplification, this configuration allows for any SNP to be exposed by BbvI digestion and interrogated via primer extension, four-color minisequencing. Primers containing 5' acrylamide groups were attached covalently to the solid support through copolymerization into acrylamide beads. Highly multiplexed solid-phase amplification using human genomic DNA was demonstrated with 57 beads in a single reaction. Multiplexed amplification and minisequencing reactions using bead sets representing eight polymorphic loci were carried out with genomic DNA from eight individuals. Sixty-three of 64 genotypes were accurately determined by this method when compared to genotypes determined by restriction-enzyme digestion of PCR products. This method provides an accurate, robust approach toward multiplexed genotyping that may facilitate the use of SNPs in such diverse applications as pharmacogenetics and genome-wide association studies for complex genetic diseases.