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Phenotypic variation - such as disease susceptibility and differential drug response - has a strong genetic component. Substantial effort has therefore been made to identify causal genomic variants explaining such variation among humans. Point mutations (PMs), which are single nucleotide changes in the genome, have been identified to be the most abundant form of causal genomic variants, making them useful, reliable diagnostic markers. Methods developed to genotype PMs have moved towards solid-phase assays, which not only show greater sensitivity and specificity, but also enable scalability and faster processing time. Most current assays are, however, based on fluorescent probes, which makes them relatively expensive. To develop a more cost-effective label-free genotyping method, we used a porous silicon (PSi) base as an efficient support for DNA biosensing and coupled it with reflectometric interference Fourier transform spectroscopy (RIFTS). To assess the versatility of this approach, we tested both a single nucleotide substitution in VKORC1 (-1639G > A; rs9923231) and a single nucleotide insertion in BRCA1 (5382insC; rs80357906). We demonstrate that the PSi-RIFTS method can efficiently detect both PM types with high sensitivity where hybridization of complementary DNA can be quantifiably differentiated from mismatch and non-complementary hybridization events. In addition, we show that the PSi base with immobilized DNA not only can be re-used to type further samples, but it also remains stable for 14 days, suggesting its potential for high-throughput applications.
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http://dx.doi.org/10.1016/j.colsurfb.2019.05.066 | DOI Listing |
Background: A significant surge in pertussis cases since early 2023 has raised serious public health concerns. To investigate the potential mechanisms contributing to this increased prevalence, we collected throat swab specimens from children exhibiting pertussis symptoms and conducted detailed molecular characterization.
Methods: All Bordetella pertussis (B.
Sci Prog
September 2025
Xiamen Eye Center and Eye Institute of Xiamen University, School of Medicine, Xiamen, China.
BackgroundGlaucoma is recognized as the second-leading cause of complete blindness in developed countries and a significant contributor to irreversible vision loss worldwide. Understanding the potential genetic links between neurodegenerative diseases, such as Parkinson's disease, and glaucoma is crucial for developing preventive strategies.MethodsThis study utilized data from Genome-Wide Association Studies databases, focusing on European populations without gender restrictions.
View Article and Find Full Text PDFInt J Syst Evol Microbiol
September 2025
School of Biomolecular and Biomedical Science, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Two yeast strains, PYCC 10015 and PYCC 10016, were isolated from soil from an Irish forest. Sequence analysis of the internal transcribed spacer (ITS) region (ITS1-5.8S-ITS2) of the rRNA gene repeat, and the D1/D2 domain of the LSU rRNA gene, showed that they belong to the and genera of the order , but they did not exactly match any known species.
View Article and Find Full Text PDFInt J Environ Health Res
September 2025
Department of Epidemiology, School of Public Health, Shanxi Medical University, Jinzhong, China.
The mechanism underlying the effects of Polycyclic aromatic hydrocarbons (PAHs) on missed abortion (MA) remains unclear. This study explored the relationship between PAHs exposure, telomere length (TL), metabolizing enzyme gene polymorphism, and MA in a case-control study with 253 pregnant women. A competitive enzyme-linked immunosorbent assay (ELISA) was used to quantify PAH-DNA adducts.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
September 2025
The University of Leicester Ulverscroft Eye Unit, School of Psychology and Vision Sciences, University of Leicester, Leicester, United Kingdom.
Purpose: To define the genetic architecture of foveal morphology and explore its relevance to foveal hypoplasia (FH), a hallmark of developmental macular disorders.
Methods: We applied deep-learning algorithms to quantify foveal pit depth from central optical coherence tomography (OCT) B-scans in 61,269 UK Biobank participants. A genome-wide association study (GWAS) was conducted using REGENIE, adjusting for age, sex, height, and ancestry.