Accessing genetic information with high-density DNA arrays

Genomic Medicine, Gene Polymorphisms, and Human Biological Diversity

There is considerable variation in the prevalence of comorbid conditions such as malnutrition, inflammation, cardiovascular disease, and bone disease among end-stage renal disease (ESRD) patients on maintenance hemodialysis. Besides traditional risk factors, these differences also arise from variability in genetic factors and gene-environment interactions. Recent publication of the human genome sequence through the Human Genome and Celera projects has provided a major impetus to the field of molecular genetics and genomic medicine. This review provides a broad overview of recent developments in this field, basic information and terminology in common use, and explores the impact of genetic variations or polymorphisms on human biological diversity.

Evaluation of human gene variant detection in amplicon pools by the GS-FLX parallel Pyrosequencer

Background

A new priority in genome research is large-scale resequencing of genes to understand the molecular basis of hereditary disease and cancer. We assessed the ability of massively parallel pyrosequencing to identify sequence variants in pools. From a large collection of human PCR samples we selected 343 PCR products belonging to 16 disease genes and including a large spectrum of sequence variations previously identified by Sanger sequencing. The sequence variants included SNPs and small deletions and insertions (up to 44 bp), in homozygous or heterozygous state.

Results

The DNA was combined in 4 pools containing from 27 to 164 amplicons and from 8,9 to 50,8 Kb to sequence for a total of 110 Kb. Pyrosequencing generated over 80 million base pairs of data. Blind searching for sequence variations with a specifically designed bioinformatics procedure identified 465 putative sequence variants, including 412 true variants, 53 false positives (in or adjacent to homopolymeric tracts), no false negatives. All known variants in positions covered with at least 30× depth were correctly recognized.

Conclusion

Massively parallel pyrosequencing may be used to simplify and speed the search for DNA variations in PCR products. Our results encourage further studies to evaluate molecular diagnostics applications.

DNA sequencing by denaturation: principle and thermodynamic simulations

We describe a new DNA sequencing method called sequencing by denaturation (SBD). A Sanger dideoxy sequencing reaction is performed on the templates on a solid surface to generate a ladder of DNA fragments randomly terminated by fluorescently labeled dideoxyribonucleotides. The labeled DNA fragments are sequentially denatured from the templates and the process is monitored by measuring the change in fluorescence intensities from the surface. By analyzing the denaturation profiles, the base sequence of the template can be determined. Using thermodynamic principles, we simulated the denaturation profiles of a series of oligonucleotides ranging from 12 to 32 bases and developed a base-calling algorithm to decode the sequences. These simulations demonstrate that DNA molecules up to 20 bases can be sequenced by SBD. Experimental measurements of the melting profiles of DNA fragments in solution confirm that DNA sequences can be determined by SBD. The potential limitations and advantages of SBD are discussed. With SBD, millions of sequencing reactions can be performed on a small area on a surface in parallel with a very small amount of sequencing reagents. Therefore, DNA sequencing by SBD could potentially result in a significant increase in speed and reduction in cost in large-scale genome resequencing.

Ankyrin-linked hereditary spherocytosis in an African-American kindred

Mutations of ankyrin-1 are the most frequent cause of the inherited hemolytic anemia, hereditary spherocytosis (HS), in people of European ancestry. Ankyrin-1, which provides the primary linkage between the erythrocyte membrane skeleton and the plasma membrane, has numerous isoforms generated by alternative splicing, alternate polyadenylation, use of tissue-specific promoters, and alternate NH(2) or COOH-termini. Mutation detection in erythrocyte membrane protein genes, including ankyrin, has been a challenge, primarily due to the large size of these genes, and the apparent frequent occurrence of HS-associated null alleles. Using denaturing high-performance liquid chromatography (DHPLC), we screened the ankyrin gene of the proband of a large, three generation African-American kindred with ankyrin-deficient HS. DHPLC yielded an abnormal chromatogram for exon 1. Examination of the corresponding exon 1 sequence in genomic DNA from the proband revealed heterozygosity for a mutation of the initiator methionine (ATG to ATA Met 1 Ile). Coupled in vitrotranscription/translation studies with rabbit reticulocyte lysates demonstrated that the wild-type ankyrin erythroid cDNA initiates only from the known initiator methionine, indicating that the use of alternate initiator methionine is not a mechanism of isoform diversity in erythroid cells. The mutant ankyrin allele, unlike some initiator methionine mutations that utilize downstream codons for translation initiation, was associated with a null allele. This is the first report describing ankyrin-linked HS in an African-American kindred.

Gene selection algorithm by combining reliefF and mRMR

BACKGROUND

Gene expression data usually contains a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best discriminate biological samples of different types. In this paper, we present a two-stage selection algorithm by combining ReliefF and mRMR: In the first stage, ReliefF is applied to find a candidate gene set; In the second stage, mRMR method is applied to directly and explicitly reduce redundancy for selecting a compact yet effective gene subset from the candidate set.

RESULTS

We perform comprehensive experiments to compare the mRMR-ReliefF selection algorithm with ReliefF, mRMR and other feature selection methods using two classifiers as SVM and Naive Bayes, on seven different datasets. And we also provide all source codes and datasets for sharing with others.

CONCLUSION

The experimental results show that the mRMR-ReliefF gene selection algorithm is very effective.

Combining transcriptional datasets using the generalized singular value decomposition

Background

Both microarrays and quantitative real-time PCR are convenient tools for studying the transcriptional levels of genes. The former is preferable for large scale studies while the latter is a more targeted technique. Because of platform-dependent systematic effects, simple comparisons or merging of datasets obtained by these technologies are difficult, even though they may often be desirable. These difficulties are exacerbated if there is only partial overlap between the experimental conditions and genes probed in the two datasets.

Results

We show here that the generalized singular value decomposition provides a practical tool for merging a small, targeted dataset obtained by quantitative real-time PCR of specific genes with a much larger microarray dataset. The technique permits, for the first time, the identification of genes present in only one dataset co-expressed with a target gene present exclusively in the other dataset, even when experimental conditions for the two datasets are not identical. With the rapidly increasing number of publically available large scale microarray datasets the latter is frequently the case. The method enables us to discover putative candidate genes involved in the biosynthesis of the (1,3;1,4)-β-D-glucan polysaccharide found in plant cell walls.

Conclusion

We show that the generalized singular value decomposition provides a viable tool for a combined analysis of two gene expression datasets with only partial overlap of both gene sets and experimental conditions. We illustrate how the decomposition can be optimized self-consistently by using a judicious choice of genes to define it. The ability of the technique to seamlessly define a concept of "co-expression" across both datasets provides an avenue for meaningful data integration. We believe that it will prove to be particularly useful for exploiting large, publicly available, microarray datasets for species with unsequenced genomes by complementing them with more limited in-house expression measurements.

Non-invasive, ultra-sensitive, high-throughput assays to quantify rare biomarkers in the blood

Many diseases are easier to treat and control when detected at an early stage of disease progression. Often, disease-related antigens or biomarkers are shed from the primary site and present in the blood. Unfortunately, there are very few tests capable of detecting these rare biomarkers in the blood. A blood test would be very useful to diagnose the disease earlier, monitor effectiveness of treatments, predict recurrence, and monitor recurrence. There is certainly a need to develop assays that are ultra-sensitive, non-invasive, and high-throughput. Here we describe several highly sensitive immunological assays we have developed to detect rare serum antigens. Initially we created an assay named immuno-detection amplified by T7 RNA polymerase (IDAT). To enhance the effectiveness and streamline the procedure, this assay was amended to the facile amplification system termed fluorescent amplification catalyzed by T7 polymerase technique (FACTT). These assays have been used to analyze the tumor antigen HER2 and the prion protein PrPSc. They can also be applied to other tumor markers or antigens from a variety of diseases such as cardiovascular disease, rheumatoid arthritis, Alzheimer's disease, Parkinson's disease, and hepatitis. These tests are not limited to testing only serum, but may also be applicable to detecting biomarkers in tissue, saliva, urine, cerebrospinal fluid, etc. Clearly, the FACTT-based technology represents an important step in the detection of rare molecules in fluids or tissues for a variety of diseases.

Analysis of mRNA populations from single live and fixed cells of the central nervous system

This unit presents a method for the amplification of poly(A)(+) mRNA extracted from the cytoplasm of a single cell. After cDNA is synthesized from the mRNA, it is made double stranded, denatured, and reverse transcribed to yield antisense RNA (aRNA). Another round of amplification results in a relatively large amount of aRNAs in essentially the same proportion as in the starting mRNA population. RNA amplification protocols can be used for many purposes, including generation of disease expression profiles, making of cDNA libraries, and generation of diagnostics and therapeutics for disease. An alternate protocol is used to amplify RNAs from single neurons in fixed tissue specimens. Support protocols gives instructions for reverse northern analysis, which allows analysis of the presence or absence and relative levels of mRNA expression in selected cells, and a convenient method to assess the RNA content in fixed tissue sections using the fluorescent dye acridine orange (which binds single-stranded nucleic acids).

Identifying alternative hyper-splicing signatures in MG-thymoma by exon arrays

BACKGROUND

The vast majority of human genes (>70%) are alternatively spliced. Although alternative pre-mRNA processing is modified in multiple tumors, alternative hyper-splicing signatures specific to particular tumor types are still lacking. Here, we report the use of Affymetrix Human Exon Arrays to spot hyper-splicing events characteristic of myasthenia gravis (MG)-thymoma, thymic tumors which develop in patients with MG and discriminate them from colon cancer changes.

METHODOLOGY/PRINCIPAL FINDINGS

We combined GO term to parent threshold-based and threshold-independent ad-hoc functional statistics with in-depth analysis of key modified transcripts to highlight various exon-specific changes. These denote alternative splicing in MG-thymoma tumors compared to healthy human thymus and to in-house and Affymetrix datasets from colon cancer and healthy tissues. By using both global and specific, term-to-parent Gene Ontology (GO) statistical comparisons, our functional integrative ad-hoc method allowed the detection of disease-relevant splicing events.

CONCLUSIONS/SIGNIFICANCE

Hyper-spliced transcripts spanned several categories, including the tumorogenic ERBB4 tyrosine kinase receptor and the connective tissue growth factor CTGF, as well as the immune function-related histocompatibility gene HLA-DRB1 and interleukin (IL)19, two muscle-specific collagens and one myosin heavy chain gene; intriguingly, a putative new exon was discovered in the MG-involved acetylcholinesterase ACHE gene. Corresponding changes in spliceosome composition were indicated by co-decreases in the splicing factors ASF/SF(2) and SC35. Parallel tumor-associated changes occurred in colon cancer as well, but the majority of the apparent hyper-splicing events were particular to MG-thymoma and could be validated by Fluorescent In-Situ Hybridization (FISH), Reverse Transcription-Polymerase Chain Reaction (RT-PCR) and mass spectrometry (MS) followed by peptide sequencing. Our findings demonstrate a particular alternative hyper-splicing signature for transcripts over-expressed in MG-thymoma, supporting the hypothesis that alternative hyper-splicing contributes to shaping the biological functions of these and other specialized tumors and opening new venues for the development of diagnosis and treatment approaches.

Applications of microarrays and biochips in pharmacogenomics

The complete sequence of the human genome and subsequent intensive searches for polymorphic variations are providing the prerequisite markers necessary to facilitate elucidation of the genetic variability in drug responses. Improvements in the sensitivity and precision of DNA microarrays permit a detailed and accurate scrutiny of the human genome. These advances have the potential to significantly improve health care management by improving disease diagnosis and targeting molecular therapy. Pharmacogenetic approaches, in limited use today, will become an integral part of therapeutic monitoring and health management, permitting patient stratification in advance of treatments, with the potential to eliminate adverse drug reactions. In this chapter, the current state of biochip technology is discussed, and recent applications in the arena of clinic diagnostics are explored.

Attachment of reporter and conjugate groups to the 3' termini of oligonucleotides

Conjugation of oligonucleotides at the 3 terminus is less common because this site is used for covalent linkage to solid-phase oligonucleotide synthesis supports. However, 3-oligonucleotide conjugates have several valuable physicochemical properties, including their ability to stabilize nucleic acid hybridization complexes and to retard the activity of exonucleases. This unit discusses methods for preparing oligonucleotides conjugated at the 3 terminus.

Clustering versus percolation in the assembly of colloids coated with long DNA

We report an experimental study in which we compare the self-assembly of 1 mum colloids bridged through hybridization of complementary single-stranded DNA (ssDNA) strands (12 bp) attached to variable-length double-stranded DNA spacers that are grafted to the colloids. We considered three different spacer lengths: long spacers (48 500 bp), intermediate length spacers (7500 bp), and no spacers (in which case the ssDNA strands were directly grafted to the colloids). In all three cases, the same ssDNA pairs were used. However, confocal microscopy revealed that the aggregation behavior is very different. Upon cooling, the colloids coated with short and intermediate length DNAs undergo a phase transition to a dense amorphous phase that undergoes structural arrest shortly after percolation. In contrast, the colloids coated with the longest DNA systematically form finite-sized clusters. We speculate that the difference is due to the fact that very long DNA can easily be stretched by the amount needed to make only intracluster bonds, and in contrast, colloids coated with shorter DNA always contain free binding sites on the outside of a cluster. The grafting density of the DNA decreases strongly with increasing spacer length. This is reflected in a difference in the temperature dependence of the aggregates: for the two systems coated with long DNA, the resulting aggregates were stable against heating, whereas the colloids coated with ssDNA alone would dissociate upon heating.

Cloning differentially expressed genes using rapid subtraction hybridization (RaSH)

Differential gene expression represents the entry point for comprehending complex biological processes. In this context, identification and cloning of differentially expressed genes represent critical elements in this process. Many techniques have been developed to facilitate achieving these objectives. Although effective in many situations, most currently described approaches are not trouble-free and have limitations, including complexity of performance, redundancy of gene identification (reflecting cloning biases) and false-positive gene identification. A detailed methodology to perform a rapid and efficient cloning approach, called rapid subtraction hybridization is described in this chapter. This strategy has been applied successfully to a number of cell culture systems and biological processes, including terminal differentiation and cancer progression in human melanoma cells, resistance or sensitivity to HIV-1 in human T cells and gene expression changes following infection of normal human fetal astrocytes with HIV-1 or treatment with neutrotoxic agents. Based on its simplicity of performance and high frequency of genuine differential gene identification, the rapid subtraction hybridization (RaSH) approach will allow wide applications in diverse systems and biological contexts.

Pharmacokinetics in drug discovery

The aim of this current review is to summarize the present status of pharmacokinetics in Drug Discovery. The review is structured into four sections. The first section is a general overview of what we understand by pharmacokinetics and the different LADMET aspects: Liberation, Absorption, Distribution, Metabolism, Excretion, and Toxicity. The second section highlights the different computational or in silico approaches to estimate/predict one or several aspects of the pharmacokinetic profile of a discovery lead compound. The third section discusses the most commonly used in vitro methodologies. The fourth and last section examines the various approaches employed towards the pharmacokinetic assessment of discovery molecules; including all the LADME processes, discussing the different mathematical methodologies available to establish the PK profile of a test compound; what the main differences are and what should be the criteria for using one or another mathematical approach. The major conclusion of this review is that the use of the appropriate preclinical assays has a key role in the long-term viability of a pharmaceutical company since applying the right tools early in discovery will play a key role in determining the company's ability to discover novel safe and effective therapeutics to patients as quickly as possible.

Comparing whole genomes using DNA microarrays

The rapid accumulation of complete genomic sequences offers the opportunity to carry out an analysis of inter- and intra-individual genome variation within a species on a routine basis. Sequencing whole genomes requires resources that are currently beyond those of a single laboratory and therefore it is not a practical approach for resequencing hundreds of individual genomes. DNA microarrays present an alternative way to study differences between closely related genomes. Advances in microarray-based approaches have enabled the main forms of genomic variation (amplifications, deletions, insertions, rearrangements and base-pair changes) to be detected using techniques that are readily performed in individual laboratories using simple experimental approaches.

Use of gamma-aminopropyl-coated glass surface for the patterning of oligonucleotides through oxime bond formation

The present work reports on the preparation of glass surfaces coated with NPPOC-protected aminooxy groups and their use for the patterning of oligonucleotides on glass slides and in capillary tubes. The method involves the use of surfaces coated with amino groups using (gamma-aminopropyl)triethoxy silane and subsequent grafting of the aminooxy groups by using the activated ester 1. The NPPOC-protected aminooxy groups on the surfaces can be cleaved upon irradiation. The free aminooxy groups so obtained are subsequently reacted with aldehyde-containing oligonucleotides to achieve efficient surface patterning.

Detecting polymorphic regions in Arabidopsis thaliana with resequencing microarrays

Whole-genome oligonucleotide resequencing arrays have allowed the comprehensive discovery of single nucleotide polymorphisms (SNPs) in eukaryotic genomes of moderate to large size. With this technology, the detection rate for isolated SNPs is typically high. However, it is greatly reduced when other polymorphisms are located near a SNP as multiple mismatches inhibit hybridization to arrayed oligonucleotides. Contiguous tracts of suppressed hybridization therefore typify polymorphic regions (PRs) such as clusters of SNPs or deletions. We developed a machine learning method, designated margin-based prediction of polymorphic regions (mPPR), to predict PRs from resequencing array data. Conceptually similar to hidden Markov models, the method is trained with discriminative learning techniques related to support vector machines, and accurately identifies even very short polymorphic tracts (<10 bp). We applied this method to resequencing array data previously generated for the euchromatic genomes of 20 strains (accessions) of the best-characterized plant, Arabidopsis thaliana. Nonredundantly, 27% of the genome was included within the boundaries of PRs predicted at high specificity ( approximately 97%). The resulting data set provides a fine-scale view of polymorphic sequences in A. thaliana; patterns of polymorphism not apparent in SNP data were readily detected, especially for noncoding regions. Our predictions provide a valuable resource for evolutionary genetic and functional studies in A. thaliana, and our method is applicable to similar data sets in other species. More broadly, our computational approach can be applied to other segmentation tasks related to the analysis of genomic variation.

The RNA continent

Recent progress in the analyses of the mouse transcriptome leads to unexpected discoveries. The mouse genomic sequences read by RNA polymerase II may be six times more than previously expected for human chromosomes. The transcript-abundant regions (named "transcription forests") occupy more than half of the genomic sequence and are divided by transcript-scarce regions (transcription deserts). Many of the coding mRNAs may have partially overlapping antisense RNAs. There are transcripts bridging several adjacent genes that were previously regarded as distinct ones. The transcription start sites appearing as cap analysis of gene expression (CAGE) tags are mapped on the mouse genomic sequences. Distributions of CAGE tags show that the shapes of mammalian gene promoters can be classified into four major categories. These shapes were conserved between mouse and human. Most of the gene has exonic transcription start sites, especially in the 3' untranslated region (3' UTR) sequences. The term "RNA continent" has been invented to express this unexpectedly complex and prodigious mouse transcriptome. More than a half of the RNA polymerase II transcripts are regarded as noncoding RNAs (ncRNAs). The great variety of ncRNAs in mammalian transcriptome implies that there are many functional ncRNAs in the cells. Especially, the evolutionarily conserved microRNAs play critical roles in mammalian development and other biological functions. Moreover, many other ncRNAs have also been shown to have biological significant functions, mainly in the regulation of gene expression. The functional survey of the RNA continent has just started. We will describe the state of the art of the RNA continent and its impact on the modern molecular biology, especially on the cancer research.

Functionally associated targets in mantle cell lymphoma as defined by DNA microarrays and RNA interference

Mantle cell lymphoma (MCL) is a non-Hodgkin lymphoma with poor prognosis. Its hallmark is the translocation t(11:14)q (13;32), leading to overexpression of cyclin D1, a positive regulator of the cell cycle. As cyclin D1 up-regulation is not sufficient for inducing malignant transformation, we combined DNA microarray and RNA interference (RNAi) approaches to identify novel deregulated genes involved in the progression of MCL. DNA microarray analysis identified 46 genes specifically up-regulated in MCL compared with normal B cells; 20 of these were chosen for further studies based on their cellular functions, such as growth and proliferation. The Granta 519 cell line was selected as an MCL in vitro model, to set up the RNAi protocol. To confirm the functionality of overexpression of the 20 disease-associated genes, they were knocked down using small interfering RNAs (siRNAs). In particular, knockdown of 3 genes, encoding the hepatoma-derived growth factor related protein 3 (HDGFRP3), the frizzled homolog 2 (FZD2), and the dual specificity phosphatase 5 (DUSP5), induced proliferative arrest in Granta 519 MCL cells. These genes emerged as functionally associated in MCL, in relation to growth and survival, and interfering with their function would increase insight into lymphoma growth regulation, potentially leading to novel clinical intervention modalities.

Massively parallel pathogen identification using high-density microarrays

Identification of microbial pathogens in clinical specimens is still performed by phenotypic methods that are often slow and cumbersome, despite the availability of more comprehensive genotyping technologies. We present an approach based on whole-genome amplification and resequencing microarrays for unbiased pathogen detection. This 10 h process identifies a broad spectrum of bacterial and viral species and predicts antibiotic resistance and pathogenicity and virulence profiles. We successfully identify a variety of bacteria and viruses, both in isolation and in complex mixtures, and the high specificity of the microarray distinguishes between different pathogens that cause diseases with overlapping symptoms. The resequencing approach also allows identification of organisms whose sequences are not tiled on the array, greatly expanding the repertoire of identifiable organisms and their variants. We identify organisms by hybridization of their DNA in as little as 1-4 h. Using this method, we identified Monkeypox virus and drug-resistant Staphylococcus aureus in a skin lesion taken from a child suspected of an orthopoxvirus infection, despite poor transport conditions of the sample, and a vast excess of human DNA. Our results suggest this technology could be applied in a clinical setting to test for numerous pathogens in a rapid, sensitive and unbiased manner.

Tissue microdissection

Procurement of pure populations of cells from heterogeneous histological sections can be accomplished utilizing tissue microdissection. At present, a variety of different manual and laser-based dissection tools are available and each method has particular strengths and weaknesses. The types of biomolecular analyses that can be performed on microdissected cells depend not only on the method of cell procurement, but also on the effects of upstream tissue handling and processing. Tissue preparation protocols include two major approaches; snap-freezing, or, fixation and embedding. Snap-freezing generally provides the best quality tissue for subsequent study, including proteomic analyses such as two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). Tissue fixatives include either precipitating reagents or biomolecular cross-linkers. The fixed samples are then further processed and embedded in a wax medium. In general, the biomolecules recovered from fixed and embedded tissue specimens are lower in both quantity and quality than those from snap-frozen specimens, although they are useful for certain types of analyses. The protocols provided here for tissue handling and processing, preparation of tissue sections, and microdissection are derived from our experience at the Pathogenetics Unit of the National Cancer Institute.

Use of a multi-thermal washer for DNA microarrays simplifies probe design and gives robust genotyping assays

DNA microarrays are generally operated at a single condition, which severely limits the freedom of designing probes for allele-specific hybridization assays. Here, we demonstrate a fluidic device for multi-stringency posthybridization washing of microarrays on microscope slides. This device is called a multi-thermal array washer (MTAW), and it has eight individually controlled heating zones, each of which corresponds to the location of a subarray on a slide. Allele-specific oligonucleotide probes for nine mutations in the beta-globin gene were spotted in eight identical subarrays at positions corresponding to the temperature zones of the MTAW. After hybridization with amplified patient material, the slides were mounted in the MTAW, and each subarray was exposed to different temperatures ranging from 22 to 40°C. When processed in the MTAW, probes selected without considering melting temperature resulted in improved genotyping compared with probes selected according to theoretical melting temperature and run under one condition. In conclusion, the MTAW is a versatile tool that can facilitate screening of a large number of probes for genotyping assays and can also enhance the performance of diagnostic arrays.

A bioinformatic filter for improved base-call accuracy and polymorphism detection using the Affymetrix GeneChip whole-genome resequencing platform

DNA resequencing arrays enable rapid acquisition of high-quality sequence data. This technology represents a promising platform for rapid high-resolution genotyping of microorganisms. Traditional array-based resequencing methods have relied on the use of specific PCR-amplified fragments from the query samples as hybridization targets. While this specificity in the target DNA population reduces the potential for artifacts caused by cross-hybridization, the subsampling of the query genome limits the sequence coverage that can be obtained and therefore reduces the technique's resolution as a genotyping method. We have developed and validated an Affymetrix Inc. GeneChip® array-based, whole-genome resequencing platform for Francisella tularensis, the causative agent of tularemia. A set of bioinformatic filters that targeted systematic base-calling errors caused by cross-hybridization between the whole-genome sample and the array probes and by deletions in the sample DNA relative to the chip reference sequence were developed. Our approach eliminated 91% of the false-positive single-nucleotide polymorphism calls identified in the SCHU S4 query sample, at the cost of 10.7% of the true positives, yielding a total base-calling accuracy of 99.992%.

Microarray-based DNA resequencing using 3' blocked primers

To exceed the throughput and accuracy of conventional sequencing technologies, we tested a method (pyrophosphorolysis-activated polymerization [PAP]) of nucleic acid amplification that uses 3' blocked primers (P*s). As proof-of-principle, we resequenced a 20-bp region of the factor IX gene with a microarray of P*s. P*s discriminate 3' end mismatches with ultra-high specificity as well as mismatches along their lengths with high specificity. We correctly identified two wild-type samples as well as all mismatches, including three single-base substitutions, one microdeletion, one microinsertion, and one heterozygous mutation. Despite limitations in the primer purity, the signal/noise ratio between the matched and mismatched P*s sometimes exceeded 1000. Thus, PAP resequencing shows great potential for accurate and high-throughput microarray-based resequencing.

Universal strategies in research and drug discovery based on protein-fragment complementation assays

Changes in the interactions among proteins that participate in a biochemical pathway can reflect the immediate regulatory responses to intrinsic or extrinsic perturbations of the pathway. Thus, methods that allow for the direct detection of the dynamics of protein-protein interactions can be used to probe the effects of any perturbation on any pathway of interest. Here we describe experimental strategies - based on protein-fragment complementation assays (PCAs) - that can achieve this. PCA-based strategies can be used with or instead of traditional target-based drug discovery strategies to identify novel pathway-component proteins of therapeutic interest, to increase the quantity and quality of information about the actions of potential drugs, and to gain insight into the intricate networks that make up the molecular machinery of living cells.

Cis sequence effects on gene expression

Background

Sequence and transcriptional variability within and between individuals are typically studied independently. The joint analysis of sequence and gene expression variation (genetical genomics) provides insight into the role of linked sequence variation in the regulation of gene expression. We investigated the role of sequence variation in cis on gene expression (cis sequence effects) in a group of genes commonly studied in cancer research in lymphoblastoid cell lines. We estimated the proportion of genes exhibiting cis sequence effects and the proportion of gene expression variation explained by cis sequence effects using three different analytical approaches, and compared our results to the literature.

Results

We generated gene expression profiling data at N = 697 candidate genes from N = 30 lymphoblastoid cell lines for this study and used available candidate gene resequencing data at N = 552 candidate genes to identify N = 30 candidate genes with sufficient variance in both datasets for the investigation of cis sequence effects. We used two additive models and the haplotype phylogeny scanning approach of Templeton (Tree Scanning) to evaluate association between individual SNPs, all SNPs at a gene, and diplotypes, with log-transformed gene expression. SNPs and diplotypes at eight candidate genes exhibited statistically significant (p < 0.05) association with gene expression. Using the literature as a "gold standard" to compare 14 genes with data from both this study and the literature, we observed 80% and 85% concordance for genes exhibiting and not exhibiting significant cis sequence effects in our study, respectively.

Conclusion

Based on analysis of our results and the extant literature, one in four genes exhibits significant cis sequence effects, and for these genes, about 30% of gene expression variation is accounted for by cis sequence variation. Despite diverse experimental approaches, the presence or absence of significant cis sequence effects is largely supported by previously published studies.

SNP and Mutation Analysis

Genetic variation and SNP analysis starts with generation of sequence-specific signal, followed by the collection of that signal. The final step is extensive data analysis, which starts with conversion of quantifiable raw data and ends up with identified SNPs, frequencies, and sometimes tissue-specific expression patterns (levels). In this chapter we describe and compare the mechanisms of signal generation of several representative SNP analysis platforms. DNA microarray no doubt has its advantage in applications involving the classification and identification of tumor classes, gene discovery, drug dependent transcription mechanisms, as well as prediction of drug response. PCR, xMAP, invader assay, mass spectrometry, and pyrosequencing, on the other hand, are alternative methods of genotyping employed following the large scale screening and discovery of genetic variations. In addition, they offer higher specificity and sensitivity in analysis of both genomic DNA, as well as RNA. By exploiting these technologies, correlative study of the effects of putative genetic variations on cells, tissue-specific and developmentally specific expression is possible. Of extreme value are the many forms of Mass Spectrometry in the areas of sensitive, early cancer diagnosis. Finally, microarray and xMAP are suitable for protein analysis. While protein array offers higher throughput, xMAP is more amendable to the native 3D structure of protein molecules.

Continuous-flow microfluidic printing of proteins for array-based applications including surface plasmon resonance imaging

Arraying proteins is often more challenging than creating oligonucleotide arrays. Protein concentration and purity can severely limit the capacity of spots created by traditional pin and ink jet printing techniques. To improve protein printing methods, we have developed a three-dimensional microfluidic system to deposit protein samples within discrete spots (250-microm squares) on a target surface. Our current technology produces a 48-spot array within a 0.5 x 1 cm target area. A chief advantage of this method is that samples may be introduced in continuous flow, which makes it possible to expose each spot to a larger volume of sample than would be possible with standard printing methods. Using Biacore Flexchip (Biacore AB) surface plasmon resonance array-based biosensor as a chip reader, we demonstrate that the microfluidic printer is capable of spotting proteins that are dilute (<0.1 microg/ml) and contain high concentrations of contaminating protein (>10,000-fold molar excess). We also show that the spots created by the microfluidic printer are more uniform and have better-defined borders than what can be achieved with pin printing. The ability to readily print proteins using continuous flow will help expand the application of protein arrays.

A time course study demonstrating RNA stability in postmortem skin

Knowledge of the factors regulating the rate of mRNA degradation, including postmortem delay, is important in determining the reliability of gene expression patterns in dermal tissue. Since RNA stability can be tissue dependent, this study evaluates the effect of postmortem interval on the integrity of total RNA or the levels of representative mRNA species in murine cutaneous tissue. Pieces of fresh skin tissue were excised for periods of 0-60 min from SKH-1 female hairless mice that were maintained at room temperature post-sacrifice. Total RNA was subsequently isolated and RNA integrity from each specimen was evaluated. Bioanalyzer profiles showed no apparent change in 28S/18S rRNA ratio or RNA integrity number at time points up to 60 min. Changes in mRNA expression levels of five selected genes were determined by real-time quantitative PCR. There were no statistical differences in the relative gene expressions of Ccnd1, Hif1alpha, cMyc and Cyr61 as a function of postmortem interval. Our data suggest that the molecular quality of cutaneous tissue is well preserved for at least 60 min after death, which can be regarded as important information for consideration of the order for tissue procurement in in vivo studies and acute ex vivo dermal studies.

Affordable assays for genotyping single nucleotide polymorphisms in insects

Insect genome projects and DNA sequence databases are providing unprecedented amounts of information about variation at specific nucleotides in protein- and RNA-coding genes. Single nucleotide polymorphisms (SNPs) are abundant in all insect species so far examined and are proving useful in population genetics, linkage mapping and marker-assisted selection. A number of studies has already identified SNPs associated with insecticide resistance, especially mutations conferring reduced target site sensitivity. Unfortunately, most modern, high-throughput, automated SNP detection technologies are expensive or require the use of expensive equipment and are therefore not accessible to laboratories on a limited budget or to our colleagues in developing countries. In this review, we provide a chronological and comprehensive list of all SNP methods. We emphasize and explain those techniques in which genotypes can be identified by eye or that only require agarose gel electrophoresis. We provide examples where these techniques have or are currently being applied to insects.

A sequence-based variation map of 8.27 million SNPs in inbred mouse strains

A dense map of genetic variation in the laboratory mouse genome will provide insights into the evolutionary history of the species and lead to an improved understanding of the relationship between inter-strain genotypic and phenotypic differences. Here we resequence the genomes of four wild-derived and eleven classical strains. We identify 8.27 million high-quality single nucleotide polymorphisms (SNPs) densely distributed across the genome, and determine the locations of the high (divergent subspecies ancestry) and low (common subspecies ancestry) SNP-rate intervals for every pairwise combination of classical strains. Using these data, we generate a genome-wide haplotype map containing 40,898 segments, each with an average of three distinct ancestral haplotypes. For the haplotypes in the classical strains that are unequivocally assigned ancestry, the genetic contributions of the Mus musculus subspecies--M. m. domesticus, M. m. musculus, M. m. castaneus and the hybrid M. m. molossinus--are 68%, 6%, 3% and 10%, respectively; the remaining 13% of haplotypes are of unknown ancestral origin. The considerable regional redundancy of the SNP data will facilitate imputation of the majority of these genotypes in less-densely typed classical inbred strains to provide a complete view of variation in additional strains.

Suppression Subtractive Hybridization (SSH) and its modifications in microbiological research

Suppression subtractive hybridization (SSH) is an effective approach to identify the genes that vary in expression levels during different biological processes. It is often used in higher eukaryotes to study the molecular regulation in complex pathogenic progress, such as tumorigenesis and other chronic multigene-associated diseases. Because microbes have relatively smaller genomes compared with eukaryotes, aside from the analysis at the mRNA level, SSH as well as its modifications have been further employed to isolate specific chromosomal locus, study genomic diversity related with exceptional bacterial secondary metabolisms or genes with special microbial function. This review introduces the SSH and its associated methods and focus on their applications to detect specific functional genes or DNA markers in microorganisms.