FluDen Primer DB-PCR Primer Database for Influenza A and Dengue Virus

FluDen Primer Database (http://www.fludenpdb.com) has been designed and developed as a web application program to provide free access to the in-silico designed multiple potential primers for PCR detection and quantification assays for Influenza and dengue viruses. This program also permits user to submit sequence of their choice for primer design. The database contains primer records for Influenza and dengue viruses which cause infection in Humans. As of 2014 there are 142 primer sets for screening 32 genes/regions of Influenza and dengue viruses together. Application contain gene information, assay details such as oligonucleotide sequence, primer properties and reaction conditions, publication information. We have developed a resource, FluDen Primer DB which contains primer that can be used for PCR under provided amplification conditions for each primer pair. A distinguish feature of the FlueDen is the primers listed in DB are the products of PCR design application which are experimentally validated. Primers for the FluDen were designed using current genomic information available from the National Center for Biotechnology Information (NCBI)

AtRTPrimer: database for Arabidopsis genome-wide homogeneous and specific RT-PCR primer-pairs

BACKGROUND: Primer design is a critical step in all types of RT-PCR methods to ensure specificity and efficiency of a target amplicon. However, most traditional primer design programs suggest primers on a single template of limited genetic complexity. To provide researchers with a sufficient number of pre-designed specific RT-PCR primer pairs for whole genes in Arabidopsis, we aimed to construct a genome-wide primer-pair database. DESCRIPTION: We considered the homogeneous physical and chemical properties of each primer (homogeneity) of a gene, non-specific binding against all other known genes (specificity), and other possible amplicons from its corresponding genomic DNA or similar cDNAs (additional information). Then, we evaluated the reliability of our database with selected primer pairs from 15 genes using conventional and real time RT-PCR. CONCLUSION: Approximately 97% of 28,952 genes investigated were finally registered in AtRTPrimer. Unlike other freely available primer databases for Arabidopsis thaliana, AtRTPrimer provides a large number of reliable primer pairs for each gene so that researchers can perform various types of RT-PCR experiments for their specific needs. Furthermore, by experimentally evaluating our database, we made sure that our database provides good starting primer pairs for Arabidopsis researchers to perform various types of RT-PCR experiments

qPrimerDepot: a primer database for quantitative real time PCR

Gene expression studies employing high throughput real time PCR methods require finding uniform conditions for optimal amplification of multiple targets, often a daunting task. We developed a primer database, qPrimerDepot, which provides optimized primers for all human and mouse RefSeq genes. These primers are designed to amplify desired templates under unified annealing temperature. For most intron-bearing genes, primers flank one of the largest introns thus minimizing background noise due to genomic DNA contamination. The qPrimerDepot database can be accessed at and

The effect of primer choice and short read sequences on the outcome of 16S rRNA gene based diversity studies

Different regions of the bacterial 16S rRNA gene evolve at different evolutionary rates. The scientific outcome of short read sequencing studies therefore alters with the gene region sequenced. We wanted to gain insight in the impact of primer choice on the outcome of short read sequencing efforts. All the unknowns associated with sequencing data, i.e. primer coverage rate, phylogeny, OTU-richness and taxonomic assignment, were therefore implemented in one study for ten well established universal primers (338f/r, 518f/r, 799f/r, 926f/r and 1062f/r) targeting dispersed regions of the bacterial 16S rRNA gene. All analyses were performed on nearly full length and in silico generated short read sequence libraries containing 1175 sequences that were carefully chosen as to present a representative substitute of the SILVA SSU database. The 518f and 799r primers, targeting the V4 region of the 16S rRNA gene, were found to be particularly suited for short read sequencing studies, while the primer 1062r, targeting V6, seemed to be least reliable. Our results will assist scientists in considering whether the best option for their study is to select the most informative primer, or the primer that excludes interferences by host-organelle DNA. The methodology followed can be extrapolated to other primers, allowing their evaluation prior to the experiment

Microsatellite primers for red drum (Sciaenops ocellatus)

In this note, we document polymerase-chain-reaction (PCR) primer pairs for 101 nuclear-encoded microsatellites designed and developed from a genomic library for red drum (Sciaenops ocellatus). Details of the genomic library construction, the sequencing of positive clones, primer design, and PCR protocols may be found in Karlsson et al. (2008). The 101 microsatellites (GENBA NK Accession Numbers EU015882-EU015982) were amplified successfully and used to genotype 24 red drum obtained from Galveston Bay, Texas (Table 1). A total of 69 of the microsatellites had an uninterrupted (perfect) dinucleotide motif, and 30 had an imperfect dinucleotide motif; one microsatellite had an imperfect tetranucleotide motif, and one had an imperfect and compound motif (Table 1 ). Sizes of the cloned alleles ranged from 84 to 252 base pairs. A ‘blast’ search of the GENBANK database indicated that all of the primers and the cloned alleles were unique (i.e., not duplicated)

SPPADBASE: the first on-line searchable database of PCR primers for phytopathogenic fungi

The fast and unambiguous identification of microbial pathogens affecting plants or plant products is an essential prerequisite for obtaining high-quality and safe production. Ecologically friendly practice of the modern agriculture requires the adoption of diagnostic techniques able to detect minimum inoculum levels of pathogens in soil, seeds, transplants or crops, to limit the raise of epidemics and to address the adoption of rational and efficient control means. Moreover, there is an increasing public and official awareness of the potential threat of bio-terrorism directed against food and agriculture (Monke, 2004). Rapid detection techniques for bioweapon agents are a critical need for the first-responder community. Among the nucleic acid-based diagnostic techniques, those involving the Polymerase Chain Reaction (PCR; Mullis and Faloona, 1987) are the most suited for early detection of phytopathogenic agents, due to their high sensitivity and the potential for automation. Many sequence source types could be selected and used as target for specific primer design. These may include, for instance, Random Amplified Polymorphic DNAs (Williams et al., 1990; Welsh and McClelland, 1990), internal transcribed spacer (ITS) regions of the ribosomal RNA genes (White et al., 1990) or other specific gene sequences. Primer sets can be designed to target specificity at the genus, species, or physiological race level, to distinguish a particular pathogen from closely related organisms. A common and tedious task for researchers and technicians is to search for and retrieve bibliographic references of published and validated specific primer sets for a given pathogen querying the Internet, abstract collections and monthly journals’ tables of contents. Very few examples of specific primer set collections for phytopathogenic agents have been released: a summary of primers for the diagnostic characterization of phytopathogenic bacteria seems to be the only one printed so far (Louws et al., 1999). Moreover, among 719 molecular biology databases publicly available recorded by Galperin (2006) or among the 2470 BMC biomedical databases catalog available at http://databases.biomedcentral.com/, no online repository of primer sets of this kind is accessible. To overcome this lack of information, we released the first online searchable database of primer sets useful for the detection and identification of plant pathogenic fungi

High-Throughput SNP Genotyping by SBE/SBH

Despite much progress over the past decade, current Single Nucleotide Polymorphism (SNP) genotyping technologies still offer an insufficient degree of multiplexing when required to handle user-selected sets of SNPs. In this paper we propose a new genotyping assay architecture combining multiplexed solution-phase single-base extension (SBE) reactions with sequencing by hybridization (SBH) using universal DNA arrays such as all $k$-mer arrays. In addition to PCR amplification of genomic DNA, SNP genotyping using SBE/SBH assays involves the following steps: (1) Synthesizing primers complementing the genomic sequence immediately preceding SNPs of interest; (2) Hybridizing these primers with the genomic DNA; (3) Extending each primer by a single base using polymerase enzyme and dideoxynucleotides labeled with 4 different fluorescent dyes; and finally (4) Hybridizing extended primers to a universal DNA array and determining the identity of the bases that extend each primer by hybridization pattern analysis. Our contributions include a study of multiplexing algorithms for SBE/SBH genotyping assays and preliminary experimental results showing the achievable tradeoffs between the number of array probes and primer length on one hand and the number of SNPs that can be assayed simultaneously on the other. Simulation results on datasets both randomly generated and extracted from the NCBI dbSNP database suggest that the SBE/SBH architecture provides a flexible and cost-effective alternative to genotyping assays currently used in the industry, enabling genotyping of up to hundreds of thousands of user-specified SNPs per assay.Comment: 19 page

Simplified primer design for PCR-based gene targeting and microarray primer database: two web tools for fission yeast

PCR-based gene targeting is a popular method for manipulating yeast genes in their normal chromosomal locations. The manual design of primers, however, can be cumbersome and error-prone. We have developed a straightforward web-based tool that applies user-specified inputs to automate and simplify the task of primer selection for deletion, tagging and/or regulated expression of genes in Schizosaccharomyces pombe. This tool, named PPPP (for Pombe PCR Primer Programs), is available at http://www.sanger.ac.uk/PostGenomics/S_pombe/software/. We also present a searchable Microarray Primer Database to retrieve the sequences and accompanying information for primers and PCR products used to build our in-house Sz. pombe microarrays. This database contains information on both coding and intergenic regions to provide context for the microarray data, and it should be useful also for other applications, such as quantitative PCR. The database can be accessed at http://www.sanger.ac.uk/PostGenomics/S_pombe/microarray/. Copyright © 2006 John Wiley & Sons, Ltd

PrimerBank: a PCR primer database for quantitative gene expression analysis, 2012 update

Optimization of primer sequences for polymerase chain reaction (PCR) and quantitative PCR (qPCR) and reaction conditions remains an experimental challenge. We have developed a resource, PrimerBank, which contains primers that can be used for PCR and qPCR under stringent and allele-invariant amplification conditions. A distinguishing feature of PrimerBank is the experimental validation of primer pairs covering most known mouse genes. Here, we describe a major update of PrimerBank that includes the design of new primers covering 17 076 and 18 086 genes for the human and mouse species, respectively. As a result of this update, PrimerBank contains 497 156 primers (an increase of 62% from the previous version) that cover 36 928 human and mouse genes, corresponding to around 94% of all known protein-coding gene sequences. An updated algorithm based on our previous approach was used to design new primers using current genomic information available from the National Center for Biotechnology Information (NCBI). PrimerBank primers work under uniform PCR conditions, and can be used for high-throughput or genome-wide qPCR. Because of their broader linear dynamic range and greater sensitivity, qPCR approaches are used to reanalyze changes in expression suggested by exploratory technologies such as microarrays and RNA-Seq. The primers and all experimental validation data can be freely accessed from the PrimerBank website, http://pga.mgh.harvard.edu/primerbank/

SOP(3)v2: web-based selection of oligonucleotide primer trios for genotyping of human and mouse polymorphisms

SOP(3)v2 is a database-driven graphical web-based application for facilitating genotyping assay design. SOP(3)v2 accepts data input in numerous forms, including gene names, reference sequence numbers and physical location. For each entry, the application presents a set of recommended forward and reverse PCR primers, along with a sequencing primer, which is optimized for sequence-based genotyping assays. SOP(3)v2-generated oligonucleotide primer trios enable analysis of single nucleotide polymorphisms (SNPs) as well as insertion/deletion polymorphisms found in genomic DNA. The application's database was generated by warehousing information from the National Center for Biotechnology Information (NCBI) dbSNP database, genomic DNA sequences from human and mouse, and LocusLink gene attribute information. Query results can be sorted by their biological relevance, such as nonsynonymous coding changes or physical location. Human polymorphism queries may specify ethnicity, haplotype and validation status. Primers are developed using SOP(3)v2's core algorithm for evaluating primer candidates through stability tests and are suitable for use with sequence-based genotyping methods requiring locus-specific amplification. The method has undergone laboratory validation. Of the SOP(3)v2-designed primer trios that were tested, a majority (>80%) have successfully produced genotyping data. The application may be accessed via the web at