Factor XI (FXI) deficiency is a rare inherited disorder which can cause bleeding complications especially in case of hemostatic challenge and/or in tissues with high fibrinolytic activity. A number of causative mutations have been described in FXI deficient individuals which have been detected by various screening methods. In this study, we present the application of the multitemperature single-strand conformation polymorphism analysis (MSSCP) on the FXI gene, a recently developed methodology for the detection of single nucleotide exchanges. We analyzed a total of 217 polymerase chain reaction (PCR) fragments from the promoter region as well as from exons 1-7 and 11-15 and compared the results to automatic fluorescent sequencing. A total of 29 PCR fragments showed single nucleotide exchanges in conventional fluorescent sequencing, representing 10 different mutations (nine missense mutations, one small deletion) and four frequent polymorphisms. With MSSCP electrophoresis at a standard temperature profile (gel temperature 35-20-10 degrees C) we were able to detect 13 of 14 (93%) different nucleotide exchanges in 25 of 29 PCR fragments (86%). Hence, the detection rate for genetic variations in the FXI gene was 86%. To evaluate the reproducibility, MSSCP was performed twice for 174 PCR fragments and the consistency between two electrophoretic runs was 99%. We conclude that the MSSCP is a sensitive, fast, and cost effective screening method for the detection of FXI gene mutations.
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http://dx.doi.org/10.1002/jcla.20084 | DOI Listing |
Mol Biol Rep
January 2025
Medical Sociology and Psychobiology, Department of Health and Physical Activity, University of Potsdam, 14469, Potsdam, Germany.
Background: Depression constitutes a risk factor for osteoporosis, but underlying molecular and cellular mechanisms are not fully understood. MiRNAs influence gene expression and are carried by extracellular vesicles (EV), affecting cell-cell communication.
Aims: (1) Identify the difference in miRNA expression between depressed patients and healthy controls; (2) Analyze associations of these miRNAs with bone turnover markers; (3) Analyze target genes of differentially regulated miRNAs and predict associated pathways regarding depression and bone metabolism.
Int J Radiat Biol
January 2025
Department of Horticulture, Patuakhali Science and Technology University, Patuakhali, Bangladesh.
Purpose: The study focused on developing a rapid PCR-based detection method and employing gamma irradiation techniques to manage , aiming to produce brown rot-free export-quality potatoes. This initiative seeks to enhance potato exports from Bangladesh.
Materials And Methods: Samples of potato tubers and soil were collected from various commercially significant potato-growing areas, resulting in a total of 168 isolates from potato tubers and soil across 12 regions.
Forensic Sci Int
January 2025
Department of Chemistry Government College University, Lahore, Pakistan. Electronic address:
Skeletal remains are the only source of the genetic material of decomposed organisms or once-lived species. Unlike, soft tissues they are highly mineralized, and their anatomical and morphological structure prevents their deformation in the presence of adverse environmental factors. Therefore, bones and teeth protect the Deoxyribonucleic Acid (DNA) inside them.
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January 2025
Jiangxi Provincial Key Laboratory of Poultry Genetic Improvement, Nanchang 330032 China. Electronic address:
The growth and development of chicken skeletal muscle directly affects chicken meat production, which is very important for broiler industry. Matrix metallopeptidase 2 (MMP2) exists in skeletal muscle. However, the underlying regulating of MMP2 remain unknown.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
School of Pharmaceutical Sciences, Jilin Medical University, Jilin 132013, China.
The association between microRNAs and various diseases, especially cancer, has been established in recent years, indicating that miRNAs can potentially serve as biomarkers for these diseases. Determining miRNA concentrations in biological samples is crucial for disease diagnosis. Nevertheless, the stem-loop reverse transcription quantitative PCR method, the gold standard for detecting miRNA, has great challenges in terms of high costs and enzyme limitations when applied to clinical biological samples.
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