A novel method for prokaryotic promoter prediction based on DNA stability

Background  

In the post-genomic era, correct gene prediction has become one of the biggest challenges in genome annotation. Improved promoter prediction methods can be one step towards developing more reliable ab initio gene prediction methods. This work presents a novel prokaryotic promoter prediction method based on DNA stability.     

A meta-data based method for DNA microarray imputation

Background  

DNA microarray experiments are conducted in logical sets, such as time course profiling after a treatment is applied to the samples, or comparisons of the samples under two or more conditions. Due to cost and design constraints of spotted cDNA microarray experiments, each logical set commonly includes only a small number of replicates per condition. Despite the vast improvement of the microarray technology in recent years, missing values are prevalent. Intuitively, imputation of missing values is best done using many replicates within the same logical set. In practice, there are few replicates and thus reliable imputation within logical sets is difficult. However, it is in the case of few replicates that the presence of missing values, and how they are imputed, can have the most profound impact on the outcome of downstream analyses (e.g. significance analysis and clustering). This study explores the feasibility of imputation across logical sets, using the vast amount of publicly available microarray data to improve imputation reliability in the small sample size setting.     

RNA microarray for estimating relative abundance of 16S rRNA in microbial communities

We developed an RNA microarray protocol in which total RNA from a microbial community was attached to a slide glass, and rRNA was detected by fluorescently labeled oligonucleotide probes. The RNA microarray requires only 4 h for hybridization and enables double staining and estimating relative abundance of rRNA.     

Development of DNA microarray for pathogen detection

Pathogens pose a significant threat to humans, animals, and plants. Consequently, a considerable effort has been devoted to developing rapid, convenient, and accurate assays for the detection of these unfavorable organisms. Recently, DNA-microarray based technology is receiving much attention as a powerful tool for pathogen detection. After the target gene is first selected for the unique identification of microorganisms, species-specific probes are designed through bioinformatic analysis of the sequences, which uses the information present in the databases. DNA samples, which were obtained from reference and/or clinical isolates, are properly processed and hybridized with species-specific probes that are immobilized on the surface of the microarray for fluorescent detection. In this study, we review the methods and strategies for the development of DNA microarray for pathogen detection, with the focus on probe design.     

基于PCR-LDR平台的近交系小鼠遗传质量快速检测方法

目的建立基于PCR-LDR平台的近交系小鼠SNP快速分型方法,用于检测实验小鼠的遗传质量与品系纯度。方法利用可移植性极高的PCR-LDR技术,以常见近交系小鼠为研究对象,选取了21条染色体上的45个SNP位点,分别设计引物和探针,经过筛选和验证,建立了多重PCR-LDR(polymerase chain reaction and ligase detection reaction,PCR-LDR)分型方案。结果四组多重PCR-LDR可实现45个SNP位点的基因分型,其中43个、44个与45个SNP在样本中的检出率分别为100%、90.9%与36.4%。所有样本经分型确定为纯合体,并得到了常见近交系小鼠SNP位点信息。结论实现了常见近交系小鼠快速、高通量的基因分型,可用于遗传质量检测和品系鉴定。     

Characterization of marine prokaryotic communities via DNA and RNA

We know very little about species distributions in prokaryotic marine plankton. Such information is very interesting in its own right, and ignorance of it is also beginning to hamper process studies, such as those on viral infection. New DNA- and RNA-based approaches avoid many prior limitations. Here we discuss four such applications: (1) cloning and sequencing of 16S rRNA genes to produce lists of what types of organisms are present; (2) quantification of these individual types in marine samples by nucleic acid hybridization, including single cell fluorescence; (3) quantitative comparison by DNA-DNA hybridization of entire microbial communities in terms of shared common types, without knowledge of community components; and (4) finding cultures that are representative of native communities. Several previously uncharacterized types of bacteria and archaea (probably including novel phyla) are present in marine plankton. Evidence from both the Atlantic and Pacific suggests that as-of-yet uncultivated archaea may dominate the deep sea, and thus may be the most abundant group of organisms on Earth. Such archaea are in surface waters as well, and can be visualized with fluorescent probes and enriched at room temperature with addition of organic nutrients. Community hybridization shows that variability of microbial community compositions in time and space is high. Although most native bacteria do not grow in culture, some proteobacterial cultures appear by genomic hybridization to be representative of certain communities. These and other results indicate the utility of DNA- and RNA-based methods.     

Theoretical analysis of mechanisms of occurrence of DNA deletions in prokaryotic genomes based on direct repeats

In the present work a mechanism of deletions emergence on the basis of complementary DNA regions mispairing of direct repeats has been investigated theoretically. A quantitative dependence of the rates of deletions emergence on such parameters of the flanking repeats as the nucleotide composition of repeats, the number of homology damages and the distance between repeated regions has been constructed. It has been proved, that using this relationship one can reliably evaluate the total rates of deletions emergence in the lacI gene sequence of E. coli according to the repeats arrangement in this gene.     

Application of DNA microarray technology for detection, identification, and characterization of food-borne pathogens

DNA microarrays represent the latest advance in molecular technology. In combination with bioinformatics, they provide unparalleled opportunities for simultaneous detection of thousands of genes or target DNA sequences and offer tremendous potential for studying food-borne microorganisms. This review provides an up-to-date look at the application of DNA microarray technology to detect food-borne pathogenic bacteria, viruses, and parasites. In addition, it covers the advantages of using microarray technology to further characterize microorganisms by providing information for specific identification of isolates, to understand the pathogenesis based on the presence of virulence genes, and to indicate how new pathogenic strains evolved epidemiologically and phylogenetically.     

A universal platform for sensitive and selective colorimetric DNA detection based on Exo III assisted signal amplification

Rapid growth of available sequence data has made the detection of nucleic acids critical to the development of modern life sciences. Many amplification methods based on gold nanoparticles and endonuclease for sensitive DNA detection have been developed. However, these approaches require specific target sequence for endonuclease recognition, which cannot be fulfilled in all systems. Replacing the restriction enzyme with a nuclease that does not require any specific recognition sequence may offer a universally adaptable system. Here we have developed a novel homogeneous, colorimetric DNA detection method, which consists of Exo III, a linker DNA, and two DNA-modified gold nanoparticles. This system is simple, low-cost, sensitive and selective. By coupling cyclic enzymatic cleavage and gold nanoparticle for signal amplification, our system provides a colorimetric detection limit of 15 pM, which is 3 orders of magnitude more sensitive than that of a general three-component sandwich assay format. Due to the intrinsic property of Exo III, our method shows excellent detection selectivity for single-base discrimination. More importantly, superior to other methods based on nicking and FokI endonuclease, our target sequence-independent platform is generally applicable for DNA sensing. This new approach could be widely applied to sensitive nucleic acids detection.     

A short-oligonucleotide microarray that allows improved detection of gastrointestinal tract microbial communities

Background  

The human gastrointestinal (GI) tract contains a diverse collection of bacteria, most of which are unculturable by conventional microbiological methods. Increasingly molecular profiling techniques are being employed to examine this complex microbial community. The purpose of this study was to develop a microarray technique based on 16S ribosomal gene sequences for rapidly monitoring the microbial population of the GI tract.     

Validation of a mobile phone-assisted microarray decoding platform for signal-enhanced mutation detection

We have established a mobile phone-assisted microarray decoding platform for signal-enhanced mutation detection. A large amount of single-stranded DNA (ssDNA) was obtained by combining symmetric PCR and magnetic isolation, and ssDNA prepared with magnetic bead as label was further allowed to hybridize against the tag-array for decoding purpose. High sensitivity and specificity was achieved with the detection of genomic DNA. When simultaneously genotyping nine common mutations associated with hereditary hearing loss, the detection limit of 1 ng genomic DNA was achieved. Significantly, a mobile phone was also used to record and decode the genotyping results through a custom-designed imaging adaptor and a dedicated mobile phone software. A total of 51 buccal swabs from patients probably with deafness-related mutations were collected and analyzed. The genotyping results were all confirmed by fluorescence-based laser confocal scanning and direct DNA sequencing. This mobile phone-assisted decoding platform provides an effective but economic mutation detection alternative for the future quicker and sensitive detection of virtually any mutation-related diseases in developing and underdeveloped countries.     

A structured chitosan-based platform for biomolecule attachment to solid surfaces: application to DNA microarray preparation

A structured chemical platform based on chitosan, an amine-rich polysaccharide, is presented as an alternative chemistry to functionalize solid support (in this case, glass slides) for grafting biomolecules. This approach has been adopted for generating arrays using amino-modified oligonucleotides with two different lengths (25-mer and 70-mer) for different purposes. Results using these chitosan-activated surfaces indicate high oligonucleotide loading capacity, good availability to hybridization against targets, and effectiveness in enzyme-mediated single nucleotide polymorphism (SNP) detection procedures by DNA polymerase and DNA ligase enzymes with low background. Universal arrays have been prepared and extensively used with excellent results in different applications. The chitosan-treated surfaces were also evaluated for their performance in a gene expression experiment.     

Sequence versus structure for the direct detection of 16S rRNA on planar oligonucleotide microarrays

A two-probe proximal chaperone detection system consisting of a species-specific capture probe for the microarray and a labeled, proximal chaperone probe for detection was recently described for direct detection of intact rRNAs from environmental samples on oligonucleotide arrays. In this study, we investigated the physical spacing and nucleotide mismatch tolerance between capture and proximal chaperone detector probes that are required to achieve species-specific 16S rRNA detection for the dissimilatory metal and sulfate reducer 16S rRNAs. Microarray specificity was deduced by analyzing signal intensities across replicate microarrays with a statistical analysis-of-variance model that accommodates well-to-well and slide-to-slide variations in microarray signal intensity. Chaperone detector probes located in immediate proximity to the capture probe resulted in detectable, nonspecific binding of nontarget rRNA, presumably due to base-stacking effects. Species-specific rRNA detection was achieved by using a 22-nt capture probe and a 15-nt detector probe separated by 10 to 14 nt along the primary sequence. Chaperone detector probes with up to three mismatched nucleotides still resulted in species-specific capture of 16S rRNAs. There was no obvious relationship between position or number of mismatches and within- or between-genus hybridization specificity. From these results, we conclude that relieving secondary structure is of principal concern for the successful capture and detection of 16S rRNAs on planar surfaces but that the sequence of the capture probe is more important than relieving secondary structure for achieving specific hybridization.     

Statistical evidence for the correlation of DNA deletions in prokaryotic genomes with direct repeats

In the present work a computer analysis of deletion localization in the sequence of the E. coli lacI gene has been carried out by the statistical weight method. Reliable statistical correlation of the deletions location sites with the arrangement of the most perfect direct repeats revealing the shortest distance between repeated fragments has been shown. At the same time statistical analysis did not reveal reliable connection of deletions localization regions with the expected sites of gyrase recognition, sites and other recombination sites. A conclusion has been drawn, that the mechanism of deletions emergence on the basis of repeats appears to be predominant.     

Impact of sewage sludge on the soil bacterial communities by DNA microarray analysis

Sewage sludge has been used as organic manure to replace chemical fertilizer. The aim of this study was to evaluate the effect of doses of sewage sludge on the soil bacterial community by DNA microarray analysis. A microarray phylochip containing 1,560 partial sequences of 16S rRNA from the most common strains of bacteria was developed for bioprospection. Soil plots from an experimental field in Brazil were assessed with or without sludge treatment containing different doses of nitrogen based on that recommended for maize cultivation. The microarray technique was useful for quickly assessing changes in the bacterial communities and a high variation was observed, mainly in soil treated with high doses of sludge. While sludge containing 25 kg N/ha favored an in crease in the number of members in various phyla, on the other hand sludge with the higher dose regarding to 200 kg N/ha caused a reduction in the number of members in almost all phyla. Proteobacteria often dominant in soils was specifically affected. This study highlights the spread of bacteria to new environments and provides direct information about bacterial composition at specific habitats. Our results have shown that bacterial community structure was greatly affected by sludge application.     

An ensemble method for gene discovery based on DNA microarray data

The advent of DNA microarray technology has offered the promise of casting new insights onto deciphering secrets of life by monitoring activities of thousands of genes simultaneously. Current analyses of microarray data focus on precise classification of biological types, for example, tumor versus normal tissues. A further scientific challenging task is to extract disease-relevant genes from the bewildering amounts of raw data, which is one of the most critical themes in the post-genomic era, but it is generally ignored due to lack of an efficient approach. In this paper, we present a novel ensemble method for gene extraction that can be tailored to fulfill multiple biological tasks including (i) precise classification of biological types; (ii) disease gene mining; and (iii) target-driven gene networking. We also give a numerical application for(i) and (ii) using a public microarrary data set and set aside a separate paper to address (iii).     

An ensemble method for gene discovery based on DNA microarray data

DNA microarrays are now able to measure the expressions of thousands of genes simultaneously. These measurements or gene profiling provides a snapshot?of life that maps to a cross section of ge-netic activities in a four-dimension space of time and the biological entity. Although recent microarray ex-periments[1, 2] hold the promise of the innovative tech-nology to cast new insights onto discovery of secrets of life, development of powerful and efficient analysis strategies for microarray dat…