Several diseases are characterized by the presence of point mutations, which are amenable to molecular detection using a number of methods such as PCR. However, certain mutations are particularly difficult to detect due to factors such as low abundance and the presence of special (e.g., oligonucleotide repeat) sequences. The mutation 7A in the oligoA sequence of exon 7 of the gene encoding the La autoantigen is difficult to detect at the DNA level, and even at the RNA level, due to both its estimated low abundance and its differentiation from the wild-type 8A sequence. This article describes a technique in which amplification of the excess wild-type 8A La sequence is suppressed by a peptide nucleic acid (PNA) during a nested PCR step. Detection of the amplified 7A mutant form was then performed by simple electrophoresis following a final primer extension step with an infrared dye-labeled primer. This technique allowed us to detect the mutation in 3 of 7 individuals harboring serum immunoglobulin G (IgG) antibodies reactive with a neo-B cell epitope in the 7A mutant protein product. We propose that this method is a viable screening test for mutations in regions containing simple polynucleotide repeats.
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http://dx.doi.org/10.1016/j.ab.2007.06.041 | DOI Listing |
Endocrinology
January 2025
Reproduction, Mother and Child Health, Centre de recherche du centre hospitalier universitaire de Québec - Université Laval, Québec City, Québec, Canada, G1V 4G2.
Leydig cells produce hormones that are required for male development, fertility, and health. Two Leydig cell populations produce these hormones but at different times during development: fetal Leydig cells which are active during fetal life and adult Leydig cells that are functional postnatally. Historically, our ability to understand the origin and function of Leydig cells has been made difficult by the lack of genetic models to exclusively target these cells.
View Article and Find Full Text PDFTransl Pediatr
December 2024
Department of Gastroenterology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Background: Alagille syndrome (ALGS) is a rare disease. The variable clinical manifestations make the diagnosis of ALGS difficult. This study aimed to provide a basis for the early diagnosis of ALGS patients whose clinical identification is difficult and to enrich the spectrum of genetic variants implicated in Chinese children with ALGS.
View Article and Find Full Text PDFJACC Case Rep
December 2024
Texas Children's Hospital, Baylor College of Medicine, Houston, Texas, USA.
Fetal and neonatal cardiac tumors are rare and often benign. Clinical presentation is primarily related to mass effect, pericardial effusion or arrhythmia. Prenatal detection can assist with risk assessment and inform optimal delivery plan and postnatal management.
View Article and Find Full Text PDFSmall
January 2025
School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China.
Eutectogels are recently emerged as promising alternatives to hydrogels owing to their good environmental stability derived from deep eutectic solvents (DES). However, construction of competent eutectogels with both high conductivity and mechanical toughness is still difficult to achieve yet highly demanded. In this work, new LMNP-PEDOT-CMC-AA (LPCA) eutectogels are prepared using acrylic acid (AA) and carboxymethylcellulose sodium (CMC) as polymeric networks, liquid metal nanoparticle-poly(3,4-ethylenedioxythiophene) (LMNP-PEDOT) are added as multifunctional soft fillers.
View Article and Find Full Text PDFPLoS One
January 2025
College of Information Science and Engineering, Jiaxing University, Jiaxing, Zhejiang, China.
The network intrusion detection system (NIDS) plays a critical role in maintaining network security. However, traditional NIDS relies on a large volume of samples for training, which exhibits insufficient adaptability in rapidly changing network environments and complex attack methods, especially when facing novel and rare attacks. As attack strategies evolve, there is often a lack of sufficient samples to train models, making it difficult for traditional methods to respond quickly and effectively to new threats.
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