Development of an automated SNP analysis method using a paramagnetic beads handling robot

Oligonucleotide hybridization with magnetic separation assay for multiple SNP phasing

Since humans have two copies of each gene, multiple mutations in different loci may or may not be found on the same strand of DNA (i.e., inherited from one parent). When a person is heterozygous at more than one position, the placement of these mutations, also called the haplotype phase, (i.e., cis for the same strand and trans for different strands) can result in the expression of different amount and type of proteins. In this work, we described an enzyme-free method to phase two single nucleotide polymorphisms (SNPs) using two fluorophore/quencher-labelled probes, where one of which was biotinylated. The fluorescence signal was obtained twice: first, after the addition of the labelled probes and second, after the addition of the magnetic beads. The first signal was shown to be proportional to the total number of SNP A and SNP B present in the target analyte, while the second signal showed a marked decrease of the fluorescence signal from the non-biotinylated probe when the SNPs were in trans, showing that the probe immobilized on the magnetic bead selectively captures targets with SNPs in a cis configuration. We then mimic the nature of the human genome which consists of two haplotype copies of each gene, and showed that 250 nM of the 10 possible pairs of haplotypes could be differentiated using a combination of fluorescence microscopy and fluorescence detection.

Multiplex Analysis on a Single Porous Hydrogel Bead with Encoded SERS Nanotags

Bead-based assays have drawn more and more attention in biomedical fields. Herein, we proposed a novel approach to achieve multiplex analysis on a single porous hydrogel bead (PHB) with Raman dyes (RDs) encoded core-shell surface-enhanced Raman scattering (SERS) nanotags. Because of the amplified signal of RDs by core-shell metal structure of the nanotag and the high surface area to volume ratio (SVR) of the PHB, the sensitivity and linear dynamic range (LDR) of the as-proposed multiplex analysis method are significantly improved. We anticipate this approach to be widely used in the multiplex assays and biosensors.

Large-scale genotyping and genetic mapping in Plasmodium parasites

The completion of many malaria parasite genomes provides great opportunities for genomewide characterization of gene expression and high-throughput genotyping. Substantial progress in malaria genomics and genotyping has been made recently, particularly the development of various microarray platforms for large-scale characterization of the Plasmodium falciparum genome. Microarray has been used for gene expression analysis, detection of single nucleotide polymorphism (SNP) and copy number variation (CNV), characterization of chromatin modifications, and other applications. Here we discuss some recent advances in genetic mapping and genomic studies of malaria parasites, focusing on the use of high-throughput arrays for the detection of SNP and CNV in the P. falciparum genome. Strategies for genetic mapping of malaria traits are also discussed.

Interleukin-18 promoter polymorphisms and the disease progression of Hepatitis B virus-related liver disease

In this study, we aimed to explore whether interleukin-18 (IL-18) gene-promoter polymorphisms are associated with the outcome of hepatitis B virus (HBV) infection. In all, 204 chronically HBV-infected patients were recruited in this study. Of the 204 HBV-infected patients, 43 were considered to be inactive HBV carriers based on the sustained normalization of serum alanine aminotransferase (ALT) together with seropositivity for the antibody to hepatitis B e-antigen (anti-HBe). A total of 161 patients were found to have chronic progressive liver disease, which included cirrhosis. In these HBV-infected patients, the frequencies of AA genotype of IL-18 gene-promoter polymorphisms at position -607 and C allele at position -137 were significantly higher in inactive HBV carriers compared with those in patients with chronic progressive liver disease. These polymorphisms of the IL-18 promoter regions (-607 and -137) could be associated with different outcomes of HBV infection.

Drug resistance and genetic mapping in Plasmodium falciparum

Drug resistance in malaria parasites is a serious public health burden, and resistance to most of the antimalarial drugs currently in use has been reported. A better understanding of the molecular mechanisms of drug resistance is urgently needed to slow or circumvent the spread of resistance, to allow local treatments to be deployed more effectively to prolong the life span of the current drugs, and to develop new drugs. Although mutations in genes determining resistance to drugs such as chloroquine and the antifolates have been identified, we still do not have a full understanding of the resistance mechanisms, and genes that contribute to resistance to many other drugs remain to be discovered. Genetic mapping is a powerful tool for the identification of mutations conferring drug resistance in malaria parasites because most drug-resistant phenotypes were selected within the past 60 years. High-throughput methods for genotyping large numbers of single nucleotide polymorphisms (SNPs) and microsatellites (MSs) are now available or are being developed, and genome-wide association studies for malaria traits will soon become a reality. Here we discuss strategies and issues related to mapping genes contributing to drug resistance in the human malaria parasite Plasmodium falciparum.

Detection of genome-wide polymorphisms in the AT-rich Plasmodium falciparum genome using a high-density microarray

Background

Genetic mapping is a powerful method to identify mutations that cause drug resistance and other phenotypic changes in the human malaria parasite Plasmodium falciparum. For efficient mapping of a target gene, it is often necessary to genotype a large number of polymorphic markers. Currently, a community effort is underway to collect single nucleotide polymorphisms (SNP) from the parasite genome. Here we evaluate polymorphism detection accuracy of a high-density 'tiling' microarray with 2.56 million probes by comparing single feature polymorphisms (SFP) calls from the microarray with known SNP among parasite isolates.

Results

We found that probe GC content, SNP position in a probe, probe coverage, and signal ratio cutoff values were important factors for accurate detection of SFP in the parasite genome. We established a set of SFP calling parameters that could predict mSFP (SFP called by multiple overlapping probes) with high accuracy (≥ 94%) and identified 121,087 mSFP genome-wide from five parasite isolates including 40,354 unique mSFP (excluding those from multi-gene families) and ~18,000 new mSFP, producing a genetic map with an average of one unique mSFP per 570 bp. Genomic copy number variation (CNV) among the parasites was also cataloged and compared.

Conclusion

A large number of mSFP were discovered from the P. falciparum genome using a high-density microarray, most of which were in clusters of highly polymorphic genes at chromosome ends. Our method for accurate mSFP detection and the mSFP identified will greatly facilitate large-scale studies of genome variation in the P. falciparum parasite and provide useful resources for mapping important parasite traits.