Single-nucleotide polymorphism detection using peptide nucleic acids

Molecular pathology in lung cancer: a guide to the techniques used in clinical practice

Five year survival rates for lung cancer patients are poor; however the development of new therapeutic options, which benefit subsets of the population, offer hope of improvement. These novel therapies frequently rely upon the analysis of biomarkers in pathology samples; in lung cancer patients, testing is now routinely carried out to identify small mutations and chromosomal rearrangements in order to predict response to treatment. The recent increase in biomarker analyses in pathology samples has lead to the development of a new specialty, molecular pathology. The use of molecular pathology assays in clinical samples is largely under the control of the histopathologist; who is likely to be asked, as a minimum, to select tissue sections for molecular analysis and mark areas of H&E stained slides for macro or microdissection. Many histopathologists will also be involved in the sourcing and implementation of new assays. This review aims to provide a guide to some of the most commonly used molecular pathology methods - their advantages and their limitations.

Typing SNP based on the near-infrared spectroscopy and artificial neural network

Based on the near-infrared spectra (NIRS) of the measured samples as the discriminant variables of their genotypes, the genotype discriminant model of SNP has been established by using back-propagation artificial neural network (BP-ANN). Taking a SNP (857G>A) of N-acetyltransferase 2 (NAT2) as an example, DNA fragments containing the SNP site were amplified by the PCR method based on a pair of primers to obtain the three-genotype (GG, AA, and GA) modeling samples. The NIRS-s of the amplified samples were directly measured in transmission by using quartz cell. Based on the sample spectra measured, the two BP-ANN-s were combined to obtain the stronger ability of the three-genotype classification. One of them was established to compress the measured NIRS variables by using the resilient back-propagation algorithm, and another network established by Levenberg-Marquardt algorithm according to the compressed NIRS-s was used as the discriminant model of the three-genotype classification. For the established model, the root mean square error for the training and the prediction sample sets were 0.0135 and 0.0132, respectively. Certainly, this model could rightly predict the three genotypes (i.e. the accuracy of prediction samples was up to 100%) and had a good robust for the prediction of unknown samples. Since the three genotypes of SNP could be directly determined by using the NIRS-s without any preprocessing for the analyzed samples after PCR, this method is simple, rapid and low-cost.

Crystal structure of a partly self-complementary peptide nucleic acid (PNA) oligomer showing a duplex-triplex network

The X-ray structure of a partly self-complementary peptide nucleic acid (PNA) decamer (H-GTAGATCACT-l-Lys-NH(2)) to 2.60 A resolution is reported. The structure is mainly controlled by the canonical Watson-Crick base pairs formed by the self-complementary stretch of four bases in the middle of the decamer (G(4)A(5)T(6)C(7)). One right- and one left-handed Watson-Crick duplex are formed. The two PNA units C(9)T(10) change helical handedness, so that each PNA strand contains both a right- and a left-handed section. The changed handedness in C(9)T(10) allows formation of Hoogsteen hydrogen bonding between C(9)T(10) and G(4)A(5) of a PNA strand in an adjacent Watson-Crick double helix of the same handedness. Thereby, a PNA-PNA-PNA triplex is formed. The PNA unit A(3) forms a noncanonical base pair with A(8) in a symmetry-related strand of opposite handedness; the base pair is of the A-A reverse Hoogsteen type. The structural diversity of this PNA demonstrates how the PNA backbone is able to adapt to structures governed by the stacking and hydrogen-bonding interactions between the nucleobases. The crystal structure further shows how PNA oligomers containing limited sequence complementarity may form complex hydrogen-bonding networks.

(S,S)-trans-cyclopentane-constrained peptide nucleic acids. a general backbone modification that improves binding affinity and sequence specificity

Replacing the ethylenediamine portion of aminoethylglycine peptide nucleic acids (aegPNAs) with one or more (S,S)-trans-cyclopentane diamine units significantly increases binding affinity and sequence specificity to complementary DNA, making these modified PNAs ideal for use as nucleic acid probes in genomic analysis. The synthesis and study of this new class of PNAs (tcypPNAs) is described in which trans-cyclopentane diamine has been incorporated into several positions, and in varying number, within PNA backbones of mixed-base sequences.

Short PNA molecular beacons for real-time PCR allelic discrimination of single nucleotide polymorphisms

The typing of a single nucleotide polymorphism with DNA probes is sometimes problematic because of the limited discriminating power of long DNA probes. As an alternative to existing assays, we have developed a real-time PCR assay for the genotyping of single nucleotide polymorphisms using short peptide nucleic acid (PNA) molecular beacons. A single nucleotide polymorphism in exon 6 of the XPD gene was chosen as the model system. The genotyping experiments were performed in the ABI 7700 using beacons labeled with either fluorescein or JOE, and in the Lightcycler using a fluorescein labeled beacon. QSY-7 was used as the quencher in all the beacons. The result of the genotyping was the same on both instruments and was in agreement with a previously performed RFLP genotyping of 79 samples. The length of PNA molecular beacons is significantly shorter than that of TaqMan or Lightcycler probes, making probe design and genotype discrimination easier.

High sensitive approach for point mutation detection based on electrochemiluminescence

An electrochemiluminescence-polymerase chain reaction (ECL-PCR) method for point mutation detection has been developed. The target is amplified using a tris (bipyridine) ruthenium (TBR)-labeled forward and a biotinylated reverse primer. The amplification products are digested with specific restriction enzyme, then captured onto streptavidin-coated paramagnetic beads, and detected by measuring the ECL signal of the TBR label. The established technique was further applied to detect a specific point mutation in H-ras oncogene in T24 cell line. The results show that the system has a low detection limit of 100 fmol and a linear range of more than 3 orders of magnitude for H-ras amplicon; the two genotypes can be reliably discriminated. In summary, the mutant specific ECL-PCR method can be used to detect a point mutation that creates or destroys a restriction site in any gene. It is useful in single nucleotide polymorphism (SNP) and mutation detection due to its safety, high sensitivity and simplicity.

Two sides of the coin: affinity and specificity of nucleic acid interactions

During the past decade, synthetic nucleobase oligomers have found wide use in biochemical sciences, biotechnology and molecular medicine, both as research and/or diagnostic tools and as therapeutics. Numerous applications of common and modified oligonucleotides and oligonucleotide mimics rely on their ability to sequence-specifically recognize nucleic acid targets (DNA or RNA) by forming duplexes or triplexes. In general, these applications would benefit significantly from enhanced binding affinities of nucleobase oligomers in the formation of various secondary structures. However, for high-affinity probes, the selectivity of sequence recognition must also be improved to avoid undesirable associations with mismatched DNA and RNA sites. Here, we review recent progress in understanding the molecular mechanisms of nucleic acid interactions and the development of new high-affinity plus high-specificity oligonucleotides and their mimics, with particular emphasis on peptide nucleic acids.