Showing papers on "genomic DNA published in 2009"

Global mapping of protein-DNA interactions in vivo by digital genomic footprinting

Abstract: The orchestrated binding of transcriptional activators and repressors to specific DNA sequences in the context of chromatin defines the regulatory program of eukaryotic genomes. We developed a digital approach to assay regulatory protein occupancy on genomic DNA in vivo by dense mapping of individual DNase I cleavages from intact nuclei using massively parallel DNA sequencing. Analysis of >23 million cleavages across the Saccharomyces cerevisiae genome revealed thousands of protected regulatory protein footprints, enabling de novo derivation of factor binding motifs and the identification of hundreds of new binding sites for major regulators. We observed striking correspondence between single-nucleotide resolution DNase I cleavage patterns and protein-DNA interactions determined by crystallography. The data also yielded a detailed view of larger chromatin features including positioned nucleosomes flanking factor binding regions. Digital genomic footprinting should be a powerful approach to delineate the cis-regulatory framework of any organism with an available genome sequence.

Simultaneous assay of every Salmonella Typhi gene using one million transposon mutants

Abstract: Very high-throughput sequencing technologies need to be matched by high-throughput functional studies if we are to make full use of the current explosion in genome sequences. We have generated a very large bacterial mutant pool, consisting of an estimated 1.1 million transposon mutants and we have used genomic DNA from this mutant pool, and Illumina nucleotide sequencing to prime from the transposon and sequence into the adjacent target DNA. With this method, which we have called TraDIS (transposon directed insertion-site sequencing), we have been able to map 370,000 unique transposon insertion sites to the Salmonella enterica serovar Typhi chromosome. The unprecedented density and resolution of mapped insertion sites, an average of one every 13 base pairs, has allowed us to assay simultaneously every gene in the genome for essentiality and generate a genome-wide list of candidate essential genes. In addition, the semiquantitative nature of the assay allowed us to identify genes that are advantageous and those that are disadvantageous for growth under standard laboratory conditions. Comparison of the mutant pool following growth in the presence or absence of ox bile enabled every gene to be assayed for its contribution toward bile tolerance, a trait required of any enteric bacterium and for carriage of S. Typhi in the gall bladder. This screen validated our hypothesis that we can simultaneously assay every gene in the genome to identify niche-specific essential genes.

Bacterial strain typing in the genomic era.

Abstract: Bacterial strain typing, or identifying bacteria at the strain level, is particularly important for diagnosis, treatment, and epidemiological surveillance of bacterial infections. This is especially the case for bacteria exhibiting high levels of antibiotic resistance or virulence, and those involved in nosocomial or pandemic infections. Strain typing also has applications in studying bacterial population dynamics. Over the last two decades, molecular methods have progressively replaced phenotypic assays to type bacterial strains. In this article, we review the current bacterial genotyping methods and classify them into three main categories: (1) DNA banding pattern-based methods, which classify bacteria according to the size of fragments generated by amplification and/or enzymatic digestion of genomic DNA, (2) DNA sequencing-based methods, which study the polymorphism of DNA sequences, and (3) DNA hybridization-based methods using nucleotidic probes. We described and compared the applications of genotyping methods to the study of bacterial strain diversity. We also discussed the selection of appropriate genotyping methods and the challenges of bacterial strain typing, described the current trends of genotyping methods, and investigated the progresses allowed by the availability of genomic sequences.

Chromatin Immunoprecipitation (ChIP)

Abstract: Chromatin immunoprecipitation (ChIP) is an invaluable method for studying interactions between specific proteins or modified forms of proteins and a genomic DNA region. ChIP can be used to determine whether a transcription factor interacts with a candidate target gene and is used with equal frequency to monitor the presence of histones with post-translational modifications at specific genomic locations. In early ChIP studies, UV light from a transilluminator was used to cross-link proteins to DNA irreversibly. The cross-linked chromatin was then either sonicated or cleaved with restriction enzymes to generate smaller DNA fragments, followed by immunoprecipitation with the desired antibodies. The precipitated protein-DNA adducts were then purified, treated with a protease, and analyzed by dot blot or Southern blot using a radiolabeled probe derived from the cloned DNA fragment of interest. The use of formaldehyde as a reversible protein-DNA and protein-protein cross-linking agent for ChIP and the use of polymerase chain reaction (PCR) to detect precipitated DNA fragments were later added as components of the modern ChIP procedure. The protocol below represents a standard ChIP procedure for use in mammalian cells. Cross-linking is performed by adding formaldehyde to growing cells, and chromatin is prepared, sheared by sonication, and precleared to reduce nonspecific immunoprecipitation. Immunoprecipitation is performed with a specific antibody. After elution of the protein-DNA complexes from protein Aor protein G-agarose resin, the samples are heated to reverse the covalent cross-links. The DNA fragments are purified and analyzed by PCR or real-time PCR.

Methylated DNA immunoprecipitation (MeDIP).

Abstract: Methylated DNA immunoprecipitation (MeDIP) is a versatile immunocapturing approach for unbiased detection of methylated DNA. In brief, genomic DNA is randomly sheared by sonication and immunoprecipitated with a monoclonal antibody that specifically recognizes 5-methylcytidine. The resulting enrichment of methylated DNA in the immunoprecipitated fraction can be determined by PCR to assess the methylation state of individual regions. Alternatively, MeDIP can be combined with large-scale analysis using microarrays as a genome-wide experimental readout. This protocol has been applied to generate comprehensive DNA methylation profiles on a genome-wide scale in mammals and plants, and further to identify abnormally methylated genes in cancer cells.

Local DNA Topography Correlates with Functional Noncoding Regions of the Human Genome

Abstract: The three-dimensional molecular structure of DNA, specifically the shape of the backbone and grooves of genomic DNA, can be dramatically affected by nucleotide changes, which can cause differences in protein-binding affinity and phenotype. We developed an algorithm to measure constraint on the basis of similarity of DNA topography among multiple species, using hydroxyl radical cleavage patterns to interrogate the solvent-accessible surface area of DNA. This algorithm found that 12% of bases in the human genome are evolutionarily constrained-double the number detected by nucleotide sequence-based algorithms. Topography-informed constrained regions correlated with functional noncoding elements, including enhancers, better than did regions identified solely on the basis of nucleotide sequence. These results support the idea that the molecular shape of DNA is under selection and can identify evolutionary history.

Hybrid selection of discrete genomic intervals on custom-designed microarrays for massively parallel sequencing.

Abstract: Complementary techniques that deepen information content and minimize reagent costs are required to realize the full potential of massively parallel sequencing. Here, we describe a resequencing approach that directs focus to genomic regions of high interest by combining hybridization-based purification of multi-megabase regions with sequencing on the Illumina Genome Analyzer (GA). The capture matrix is created by a microarray on which probes can be programmed as desired to target any non-repeat portion of the genome, while the method requires only a basic familiarity with microarray hybridization. We present a detailed protocol suitable for 1-2 microg of input genomic DNA and highlight key design tips in which high specificity (>65% of reads stem from enriched exons) and high sensitivity (98% targeted base pair coverage) can be achieved. We have successfully applied this to the enrichment of coding regions, in both human and mouse, ranging from 0.5 to 4 Mb in length. From genomic DNA library production to base-called sequences, this procedure takes approximately 9-10 d inclusive of array captures and one Illumina flow cell run.

Analysis of current and alternative phenol based RNA extraction methodologies for cyanobacteria.

Abstract: The validity and reproducibility of gene expression studies depend on the quality of extracted RNA and the degree of genomic DNA contamination. Cyanobacteria are gram-negative prokaryotes that synthesize chlorophyll a and carry out photosynthetic water oxidation. These organisms possess an extended array of secondary metabolites that impair cell lysis, presenting particular challenges when it comes to nucleic acid isolation. Therefore, we used the NHM5 strain of Nostoc punctiforme ATCC 29133 to compare and improve existing phenol based chemistry and procedures for RNA extraction. With this work we identify and explore strategies for improved and lower cost high quality RNA isolation from cyanobacteria. All the methods studied are suitable for RNA isolation and its use for downstream applications. We analyse different Trizol based protocols, introduce procedural changes and describe an alternative RNA extraction solution. It was possible to improve purity of isolated RNA by modifying protocol procedures. Further improvements, both in RNA purity and experimental cost, were achieved by using a new extraction solution, PGTX.

Quantification of rare allelic variants from pooled genomic DNA

Abstract: We report a targeted, cost-effective method to quantify rare single-nucleotide polymorphisms from pooled human genomic DNA using second-generation sequencing. We pooled DNA from 1,111 individuals and targeted four genes to identify rare germline variants. Our base-calling algorithm, SNPSeeker, derived from large deviation theory, detected single-nucleotide polymorphisms present at frequencies below the raw error rate of the sequencing platform.

Whole-genome analyses reveal genetic instability of Acetobacter pasteurianus

Abstract: Acetobacter species have been used for brewing traditional vinegar and are known to have genetic instability. To clarify the mutability, Acetobacter pasteurianus NBRC 3283, which forms a multi-phenotype cell complex, was subjected to genome DNA sequencing. The genome analysis revealed that there are more than 280 transposons and five genes with hyper-mutable tandem repeats as common features in the genome consisting of a 2.9-Mb chromosome and six plasmids. There were three single nucleotide mutations and five transposon insertions in 32 isolates from the cell complex. The A. pasteurianus hyper-mutability was applied for breeding a temperature-resistant strain grown at an unviable high-temperature (42°C). The genomic DNA sequence of a heritable mutant showing temperature resistance was analyzed by mutation mapping, illustrating that a 92-kb deletion and three single nucleotide mutations occurred in the genome during the adaptation. Alpha-proteobacteria including A. pasteurianus consists of many intracellular symbionts and parasites, and their genomes show increased evolution rates and intensive genome reduction. However, A. pasteurianus is assumed to be a free-living bacterium, it may have the potentiality to evolve to fit in natural niches of seasonal fruits and flowers with other organisms, such as yeasts and lactic acid bacteria.

Spurious Amplification of a Plasmodium vivax Small-Subunit RNA Gene by Use of Primers Currently Used To Detect P. knowlesi

Abstract: The PCR primers commonly used to detect Plasmodium knowlesi infections in humans were found to cross-react stochastically with P. vivax genomic DNA. A nested primer set that targets one of the P. knowlesi small-subunit rRNA genes was validated for specificity and for sensitivity of detection of <10 parasite genomes.

Evaluation of different methods for extracting extracellular DNA from the biofilm matrix.

Abstract: The occurrence of high concentrations of extracellular DNA (eDNA) in the extracellular matrices of biofilms plays an important role in biofilm formation and development and possibly in horizontal gene transfer through natural transformation. Studies have been conducted to characterize the nature of eDNA and its potential function in biofilm development, but it is difficult to extract eDNA from the extracellular matrices of biofilms without any contamination from genomic DNA released by cell lysis during the extraction process. In this report, we compared several different extraction methods in order to obtain highly pure eDNA from different biofilm samples. After different extraction methods were explored, it was concluded that using chemical treatment or enzymatic treatment of biofilm samples may obtain larger amounts of eDNA than using the simple filtration method. There was no detectable cell lysis when the enzymatic treatment methods were used, but substantial cell lysis was observed when the chemical treatment methods were used. These data suggest that eDNA may bind to other extracellular polymers in the biofilm matrix and that enzymatic treatment methods are effective and favorable for extracting eDNA from biofilm samples. Moreover, randomly amplified polymorphic DNA analysis of eDNA in Acinetobacter sp. biofilms and Acinetobacter sp. genomic DNA and DNA sequencing analysis revealed that eDNA originated from genomic DNA but was not structurally identical to the genomic DNA.

Single nucleotide polymorphism discovery in rainbow trout by deep sequencing of a reduced representation library

Abstract: To enhance capabilities for genomic analyses in rainbow trout, such as genomic selection, a large suite of polymorphic markers that are amenable to high-throughput genotyping protocols must be identified. Expressed Sequence Tags (ESTs) have been used for single nucleotide polymorphism (SNP) discovery in salmonids. In those strategies, the salmonid semi-tetraploid genomes often led to assemblies of paralogous sequences and therefore resulted in a high rate of false positive SNP identification. Sequencing genomic DNA using primers identified from ESTs proved to be an effective but time consuming methodology of SNP identification in rainbow trout, therefore not suitable for high throughput SNP discovery. In this study, we employed a high-throughput strategy that used pyrosequencing technology to generate data from a reduced representation library constructed with genomic DNA pooled from 96 unrelated rainbow trout that represent the National Center for Cool and Cold Water Aquaculture (NCCCWA) broodstock population. The reduced representation library consisted of 440 bp fragments resulting from complete digestion with the restriction enzyme Hae III; sequencing produced 2,000,000 reads providing an average 6 fold coverage of the estimated 150,000 unique genomic restriction fragments (300,000 fragment ends). Three independent data analyses identified 22,022 to 47,128 putative SNPs on 13,140 to 24,627 independent contigs. A set of 384 putative SNPs, randomly selected from the sets produced by the three analyses were genotyped on individual fish to determine the validation rate of putative SNPs among analyses, distinguish apparent SNPs that actually represent paralogous loci in the tetraploid genome, examine Mendelian segregation, and place the validated SNPs on the rainbow trout linkage map. Approximately 48% (183) of the putative SNPs were validated; 167 markers were successfully incorporated into the rainbow trout linkage map. In addition, 2% of the sequences from the validated markers were associated with rainbow trout transcripts. The use of reduced representation libraries and pyrosequencing technology proved to be an effective strategy for the discovery of a high number of putative SNPs in rainbow trout; however, modifications to the technique to decrease the false discovery rate resulting from the evolutionary recent genome duplication would be desirable.

Genomic DNA amplification by the multiple displacement amplification (MDA) method.

Abstract: Large amounts of DNA are frequently required for use in detection assays and genomic analysis. The limited availability of DNA can be a critical obstacle to meeting research and clinical needs. DNA amplification methods are often required to generate sufficient material from small specimens or environmental samples with low DNA content. The MDA (multiple displacement amplification) reaction is increasingly the method of choice for many applications because of its extensive coverage of the genome, the generation of extremely long DNA products compared with older whole genome amplification methods and the high DNA yields, even from exceedingly low amounts of starting material. Remarkably, MDA enables genomic sequencing even from single microbial cells. Some of the uses of MDA and its strengths and limitations will be discussed.

Plant genomic dna flanking spt event and methods for identifying spt event

Abstract: Compositions and methods related to transgenic plants comprising seed production technology are provided. Specifically, maize plants having a E6611.32.1.38 event which confers seed production technology are provided. The plant harboring the E6611.32.1.38 event at the recited chromosomal location comprises the genomic/transgene junctions described. The plant genomic DNA flanking the integrated E6611.32.1.38 event can be used to design assays that will be specific for the E6611.32.1.38 event. The characterization of the genomic insertion site of the E6611.32.1.38 event provides for an enhanced breeding efficiency and enables the use of molecular markers to track the transgene insert in the breeding populations and progeny thereof. Various methods and compositions for the identification, detection, and use of the maize E6611.32.1.38 event are provided.

Cloning and sequence analysis of 14 DRB alleles of the bovine major histocompatibility complex by using the polymerase chain reaction.

Abstract: The genetic diversity in the first domain exon of a bovine class II DRB gene was investigated by PCR amplification and DNA sequencing. Genomic DNA samples representing 14 different class II haplotypes, defined by RFLP analysis, were used. The analysis revealed an extensive polymorphism and 14 alleles at a single locus, designated DRB3, were identified. Multiple amino acid substitutions were found in all pairwise comparisons of alleles; 5 to 21 substitutions in the 83 positions compared. The genetic diversity at the amino acid level found in cattle matches the one previously found in the DRB1 locus in man. The significantly higher frequency of replacement substitutions compared with the frequency of silent substitutions provides strong evidence that there is selection for genetic diversity in the bovine DRB3 first domain exon. A comparison of the DRB polymorphism in man and cattle reveals a striking similarity as regards the location of polymorphic positions in the DRB molecule and the degree of polymorphism at polymorphic positions. The majority of polymorphic positions in both species are found in the proposed antigen recognition site of the class II molecule. In addition, there are eight positions which are polymorphic in both species but have not been assigned to the antigen recognition site. The possible functional significance of the polymorphism of these latter positions is discussed.

Predictable suppression of gene expression by 5′-UTR-based RNA quadruplexes

Abstract: Four-stranded DNA and RNA quadruplexes or G4 motifs are non-B DNA conformations that are presumed to form in vivo, although only few explicit evidence has been reported. Using bioinformatics the presence of putative DNA G-quadruplexes within critical promoter regions has been demonstrated and a regulatory role in transcription has been suspected. However, in genomic DNA the presence of the complementary strand interferes with the potential to form a quadruplex motif. Contrarily RNA G4 motifs have no such limitation and consequently strong interference with gene expression is suspected. Nevertheless, experimental evidence is scarce. Here we show a well-defined structure–function relationship of synthetic quadruplex sequences in 5 0 -UTRs in multiple mammalian cell-lines. We establish a universal ‘translational suppressor’ effect of these motifs on gene expression at the translational level and show for the first time that specific features such as loop-length and the number of ‘GGG’-repeats further determine the suppressive impact. Moreover, a consistent and predictable repression of gene expression is observed for naturally occurring RNA G4 motifs, augmenting the functional relevance of these unusual nucleic acid structures.

Profile of the Circulating DNA in Apparently Healthy Individuals

Abstract: Background: Circulating nucleic acids (CNAs) have been shown to have diagnostic utility in human diseases. The aim of this study was to sequence and organize CNAs to document typical profiles of circulating DNA in apparently healthy individuals. Methods: Serum DNA from 51 apparently healthy humans was extracted, amplified, sequenced via pyrosequencing (454 Life Sciences/Roche Diagnostics), and categorized by ( a ) origin (human vs xenogeneic), ( b ) functionality (repeats, genes, coding or noncoding), and ( c ) chromosomal localization. CNA results were compared with genomic DNA controls (n = 4) that were subjected to the identical procedure. Results: We obtained 4.5 × 105 sequences (7.5 × 107 nucleotides), of which 87% were attributable to known database sequences. Of these sequences, 97% were genomic, and 3% were xenogeneic. CNAs and genomic DNA did not differ with respect to sequences attributable to repeats, genes, RNA, and protein-coding DNA sequences. CNA tended to have a higher proportion of short interspersed nuclear element sequences ( P = 0.1), of which Alu sequences were significant ( P < 0.01). CNAs had a significantly lower proportion of L1 and L2 long interspersed nuclear element sequences ( P < 0.01). In addition, hepatitis B virus (HBV) genotype F sequences were found in an individual accidentally evaluated as a healthy control. Conclusions: Comparison of CNAs with genomic DNA suggests that nonspecific DNA release is not the sole origin for CNAs. The CNA profiling of healthy individuals we have described, together with the detailed biometric analysis, provides the basis for future studies of patients with specific diseases. Furthermore, the detection of previously unknown HBV infection suggests the capability of this method to uncover occult infections.

Distribution of CRISPR spacer matches in viruses and plasmids of crenarchaeal acidothermophiles and implications for their inhibitory mechanism.

Abstract: Transcripts from spacer sequences within chromosomal repeat clusters [CRISPRs (clusters of regularly interspaced palindromic repeats)] from archaea have been implicated in inhibiting or regulating the propagation of archaeal viruses and plasmids. For the crenarchaeal thermoacidophiles, the chromosomal spacers show a high level of matches (∼30%) with viral or plasmid genomes. Moreover, their distribution along the virus/plasmid genomes, as well as their DNA strand specificity, appear to be random. This is consistent with the hypothesis that chromosomal spacers are taken up directly and randomly from virus and plasmid DNA and that the spacer transcripts target the genomic DNA of the extrachromosomal elements and not their transcripts.

JBP1 and JBP2 are two distinct thymidine hydroxylases involved in J biosynthesis in genomic DNA of African trypanosomes

Abstract: Genomic DNA of African trypanosomes contains a hypermodified thymidine residue termed base J (b-D-glucosyl-HOMedU). This modified base is localized primarily to repetitive DNA, namely the telomeres, and is implicated in the regulation of antigenic variation. The base is synthesized in a two-step pathway. Initially, a thymidine residue in DNA is hydroxylated by a thymidine hydroxylase (TH). This intermediate (HOMedU) is then glucosylated to form base J. Two proteins involved in J synthesis, JBP1 (J binding protein 1) and JBP2, contain a putative TH domain related to the family of Fe 2+ /2-oxoglutarate-dependent hydroxylases. We have previously shown that mutations in the TH domain of JBP1 kill its ability to stimulate J synthesis. Here we show that mutation of key residues in the TH domain of JBP2 ablate its ability to induce de novo J synthesis. While the individual JBP1 null and JBP2 null trypanosomes have reduced J levels, the deletion of both JBP1 and JBP2 generates a cell line that completely lacks base J but still contains glucosyl-transferase activity. Reintroduction of JBP2 in the J-null trypanosome stimulates HOMedU formation and site-specific synthesis of base J. We conclude that JBP2 and JBP1 are the TH enzymes involved in J biosynthesis.

Exceptional structured noncoding RNAs revealed by bacterial metagenome analysis

Abstract: Computational analysis of environmental DNA and RNA sequences from material extracted from seawater samples has revealed the presence of abundant bacterial noncoding RNAs that resemble large ribozymes in size and complexity. Of particular interest are two new-found RNAs, called GOLLD and HEARO, that are amongst the largest and most complex RNAs discovered to date. These findings suggest that there are many more RNAs with extraordinary size, structural complexity, or other exceptional characteristics, waiting to be discovered in waters, soils and other environments yet to be explored. Existing DNA sequence databases carry only a tiny fraction of the total amount of DNA sequence space from bacterial species. Bioinformatics searches of genomic DNA from bacteria commonly identify new noncoding RNAs (ncRNAs) such as riboswitches. Here, an updated computational pipeline is used to discover ncRNAs that rival the known large ribozymes in size and structural complexity; other such RNAs probably remain to be discovered. Estimates of the total number of bacterial species1,2,3 indicate that existing DNA sequence databases carry only a tiny fraction of the total amount of DNA sequence space represented by this division of life. Indeed, environmental DNA samples have been shown to encode many previously unknown classes of proteins4 and RNAs5. Bioinformatics searches6,7,8,9,10 of genomic DNA from bacteria commonly identify new noncoding RNAs (ncRNAs)10,11,12 such as riboswitches13,14. In rare instances, RNAs that exhibit more extensive sequence and structural conservation across a wide range of bacteria are encountered15,16. Given that large structured RNAs are known to carry out complex biochemical functions such as protein synthesis and RNA processing reactions, identifying more RNAs of great size and intricate structure is likely to reveal additional biochemical functions that can be achieved by RNA. We applied an updated computational pipeline17 to discover ncRNAs that rival the known large ribozymes in size and structural complexity or that are among the most abundant RNAs in bacteria that encode them. These RNAs would have been difficult or impossible to detect without examining environmental DNA sequences, indicating that numerous RNAs with extraordinary size, structural complexity, or other exceptional characteristics remain to be discovered in unexplored sequence space.

High-Resolution Genomic Copy Number Profiling of Glioblastoma Multiforme by Single Nucleotide Polymorphism DNA Microarray

Abstract: Glioblastoma multiforme (GBM) is an extremely malignant brain tumor. To identify new genomic alterations in GBM, genomic DNA of tumor tissue/explants from 55 individuals and 6 GBM cell lines were examined using single nucleotide polymorphism DNA microarray (SNP-Chip). Further gene expression analysis relied on an additional 56 GBM samples. SNP-Chip results were validated using several techniques, including quantitative PCR (Q-PCR), nucleotide sequencing, and a combination of Q-PCR and detection of microsatellite markers for loss of heterozygosity with normal copy number [acquired uniparental disomy (AUPD)]. Whole genomic DNA copy number in each GBM sample was profiled by SNP-Chip. Several signaling pathways were frequently abnormal. Either the p16(INK4A)/p15(INK4B)-CDK4/6-pRb or p14(ARF)-MDM2/4-p53 pathways were abnormal in 89% (49 of 55) of cases. Simultaneous abnormalities of both pathways occurred in 84% (46 of 55) samples. The phosphoinositide 3-kinase pathway was altered in 71% (39 of 55) GBMs either by deletion of PTEN or amplification of epidermal growth factor receptor and/or vascular endothelial growth factor receptor/platelet-derived growth factor receptor alpha. Deletion of chromosome 6q26-27 often occurred (16 of 55 samples). The minimum common deleted region included PARK2, PACRG, QKI, and PDE10A genes. Further reverse transcription Q-PCR studies showed that PARK2 expression was decreased in another collection of GBMs at a frequency of 61% (34 of 56) of samples. The 1p36.23 region was deleted in 35% (19 of 55) of samples. Notably, three samples had homozygous deletion encompassing this site. Also, a novel internal deletion of a putative tumor suppressor gene, LRP1B, was discovered causing an aberrant protein. AUPDs occurred in 58% (32 of 55) of the GBM samples and five of six GBM cell lines. A common AUPD was found at chromosome 17p13.3-12 (included p53 gene) in 13 of 61 samples and cell lines. Single-strand conformational polymorphism and nucleotide sequencing showed that 9 of 13 of these samples had homozygous p53 mutations, suggesting that mitotic recombination duplicated the abnormal p53 gene, probably providing a growth advantage to these cells. A significantly shortened survival time was found in patients with 13q14 (RB) deletion or 17p13.1 (p53) deletion/AUPD. Taken together, these results suggest that this technique is a rapid, robust, and inexpensive method to profile genome-wide abnormalities in GBM.

Sequencing and Analysis of Fungal rRNA Operons for Development of Broad-Range Fungal PCR Assays

Abstract: rRNA genes are attractive targets for developing PCR assays targeting human fungal pathogens. Most studies have focused on the 18S rRNA gene, internal transcribed spacers, and the 5′ end of the 28S rRNA gene. An approximately 2,900-bp region of the 28S rRNA gene remains largely unexplored because sequences of many medically relevant fungi are either unavailable or undefined in genomic databases. The internal transcribed spacers and 28S rRNA gene of nine medically and phylogenetically important fungi were sequenced. In addition, 42 sequences from this region were acquired from public databases, resulting in an alignment of 51 fungal sequences spanning 30 fungal genera. For the nearly 3,950-bp region from the 3′ end of 18S rRNA gene to the 3′ end of the 28S rRNA gene, 27 broad-range PCR primers were designed such that their sequence homology with the human rRNA gene was minimal. All 62 possible amplicons in the size range from 75 to 400 bp from 27 primers were screened using fungal genomic DNA from 26 species spanning 14 genera. Eleven of the 62 amplicons did not cross-react with 1 μg/PCR human DNA but simultaneously amplified 10 fg of fungal DNA. Phylogenetic distance matrices were calculated for regions covered by these 11 amplicons based on 51 fungi. Two of these 11 amplicons successfully amplified 30 fg of fungal DNA from 25 of 26 fungi and provided the most phylogenetic information for species identification based on the distance matrices. These PCR assays hold promise for detection and identification of fungal pathogens in human tissues.

Determination of gene expression patterns using high-throughput RNA in situ hybridization to whole-mount Drosophila embryos.

Abstract: We describe a high-throughput protocol for RNA in situ hybridization (ISH) to Drosophila embryos in a 96-well format. cDNA or genomic DNA templates are amplified by PCR and then digoxigenin-labeled ribonucleotides are incorporated into antisense RNA probes by in vitro transcription. The quality of each probe is evaluated before ISH using a RNA probe quantification (dot blot) assay. RNA probes are hybridized to fixed, mixed-staged Drosophila embryos in 96-well plates. The resulting stained embryos can be examined and photographed immediately or stored at 4 degrees C for later analysis. Starting with fixed, staged embryos, the protocol takes 6 d from probe template production through hybridization. Preparation of fixed embryos requires a minimum of 2 weeks to collect embryos representing all stages. The method has been used to determine the expression patterns of over 6,000 genes throughout embryogenesis.

Deep sequencing to reveal new variants in pooled DNA samples.

Abstract: We evaluated massive parallel sequencing and long-range PCR (LRP) for rare variant detection and allele frequency estimation in pooled DNA samples. Exons 2 to 16 of the MUTYH gene were analyzed in breast cancer patients with Illumina's (Solexa) technology. From a pool of 287 genomic DNA samples we generated a single LRP product, while the same LRP was performed on 88 individual samples and the resulting products then pooled. Concentrations of constituent samples were measured with fluorimetry for genomic DNA and high-resolution melting curve analysis (HR-MCA) for LRP products. Illumina sequencing results were compared to Sanger sequencing data of individual samples. Correlation between allele frequencies detected by both methods was poor in the first pool, presumably because the genomic samples amplified unequally in the LRP, due to DNA quality variability. In contrast, allele frequencies correlated well in the second pool, in which all expected alleles at a frequency of 1% and higher were reliably detected, plus the majority of singletons (0.6% allele frequency). We describe custom bioinformatics and statistics to optimize detection of rare variants and to estimate required sequencing depth. Our results provide directions for designing high-throughput analyses of candidate genes.