Background: Single nucleotide polymorphism association studies among cases and controls have been widely used for genetic analysis. The pyrosequencing method is based on indirect luminometric quantification of the pyrophosphate that is released as a result of nucleotide incorporation onto an amplified template. It has the advantages of accuracy, flexibility, automatization and speed when compared with PCR-RFLP method.
Aim: To develop a protocol for allele frequency determination using pyrosequencing technology in the detection of the polymorphism at position -31 of the interleukin-1beta (IL-1beta) gene.
Methods: 162 patients (F/M = 0.93) who were enrolled at the Hospital Universitario Dr "José Eleuterio Gonzalez" were studied. 123 patients had non-ulcer dyspepsia and 39 had histologically confirmed gastric cancer (GC). The polymorphism of IL-1beta -31 was determined by both RFLP and pyrosequencing methods. PCR-RFLP method used Alul restriction endonuclease. The same specific primers for PCR-RFLP and pyrosequencing were used for initial amplification and an additional biotinylated specific primer was designed for sequencing.
Results: 157 (96.9%) samples were clearly typed by the pyrosequencing method and the results were in accordance with the results of the PCR-RFLP method. The results of 5 samples (3.1%) were not in accordance between both methods. Two of them were T/T and 2 were C/T by sequencing method and all four were C/C by RFLP. Another sample was C/ C by sequencing and T/T by RFLP.
Conclusion: The pyrosequencing method is not only suitable for the IL-1beta -31 genotyping but is a fast and unexpensive way of genotyping since requires smaller amounts of DNA, and required significantly less time in the generation of results than the RFLP technique. The protocol developed is useful for the typing of the IL-1beta -31 polymorphism.
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Mol Diagn Ther
January 2025
Istituto Europeo di Oncologia, IRCCS, Via Adamello 16, 20139, Milan, Italy.
Background: Predicting response to targeted cancer therapies increasingly relies on both simple and complex genetic biomarkers. Comprehensive genomic profiling using high-throughput assays must be evaluated for reproducibility and accuracy compared with existing methods.
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Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, 10257, Lithuania.
The expansion of single-cell analytical techniques has empowered the exploration of diverse biological questions at the individual cells. Droplet-based single-cell RNA sequencing (scRNA-seq) methods have been particularly widely used due to their high-throughput capabilities and small reaction volumes. While commercial systems have contributed to the widespread adoption of droplet-based scRNA-seq, their relatively high cost limits the ability to profile large numbers of cells and samples.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Department of System Biology, Institute of Cytology and Genetics, Novosibirsk 630090, Russia.
Transcription factors (TFs) are the main regulators of eukaryotic gene expression. The cooperative binding of at least two TFs to genomic DNA is a major mechanism of transcription regulation. Massive analysis of the co-occurrence of overrepresented pairs of motifs for different target TFs studied in ChIP-seq experiments can clarify the mechanisms of TF cooperation.
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Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
With the rapid advancement of high-throughput sequencing technologies, whole genome sequencing (WGS) has emerged as a crucial tool for studying genetic variation and population structure. Utilizing population genomics tools to analyze resequencing data allows for the effective integration of selection signals with population history, precise estimation of effective population size, historical population trends, and structural insights, along with the identification of specific genetic loci and variations. This paper reviews current whole genome sequencing technologies, detailing primary research methods, relevant software, and their advantages and limitations within population genomics.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Federal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies, 125315 Moscow, Russia.
A pseudogene is a non-functional copy of a protein-coding gene. Processed pseudogenes, which are created by the reverse transcription of mRNA and subsequent integration of the resulting cDNA into the genome, being a major pseudogene class, represent a significant challenge in genome analysis due to their high sequence similarity to the parent genes and their frequent absence in the reference genome. This homology can lead to errors in variant identification, as sequences derived from processed pseudogenes can be incorrectly assigned to parental genes, complicating correct variant calling.
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