Osteogenesis imperfecta (OI) is a connective tissue disorder mostly characterized by autosomal dominant inheritance. Over 1,100 causal mutations have been identified scattered along all exons of genes encoding type I collagen precursors, COL1A1 and COL1A2. Because of the absence of mutational hotspots, Sanger sequencing is considered the gold standard for molecular analysis even if the workload is very laborious and expensive. To overcome this issue, different prescreening methods have been proposed, including DHPLC and biochemical studies on cultured dermal fibroblasts; however, both approaches present different drawbacks. Moreover, in case of patients who screen negative for point mutations, an additional screening step for complex rearrangements is required; the added causative variants expected from this approach are about 1-2%. The aim of this study was to optimize and validate a new protocol that combines quantitative PCR (qPCR) and high-resolution melting (HRM) curve analysis to reduce time and costs for molecular diagnosis. Results of qPCR-HRM screening on 57 OI patients, validated by DHPLC-direct sequencing and multiplex ligation-dependent probe amplification (MLPA), indicate that all alterations identified with the mentioned methodologies are successfully detected by qPCR-HRM. Moreover, HRM was able to discriminate complex genotypes and homozygous variants. Finally, qPCR-HRM outperformed direct sequencing and DHPLC-MLPA in terms of rapidity and costs.
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http://dx.doi.org/10.1002/humu.22146 | DOI Listing |
Unlabelled: Metabolic syndrome and excessive alcohol consumption result in liver injury and fibrosis, which is characterized by increased collagen production by activated Hepatic Stellate Cells (HSCs). LARP6, an RNA-binding protein, was shown to facilitate collagen production. However, LARP6 expression and functionality as a regulator of fibrosis development in a disease relevant model remains elusive.
View Article and Find Full Text PDFF S Sci
January 2025
Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida, Tampa, FL, USA. Electronic address:
Objective: To study the relationship between FK506-binding protein 51 (FKBP51) and ovarian aging and/or diminished ovarian reserve (DOR) in human ovaries by comparing FKBP51 levels in granulosa (GC) and cumulus cells (CC), collected during controlled ovarian stimulation (COS) from women of advanced reproductive age and/or with a diagnosis of DOR with that of young women with normal ovarian reserve. To explore the association between increased FKBP51 expression and human ovarian aging further, expression of FKBP51 was compared in ovarian stroma of post-menopausal versus pre-menopausal women. Lastly, this relation was further queried by comparing ovarian expression of several collagen genes as markers of ovarian fibrosis in 14-month-old wild type (Fkbp5) and Fkbp5 knockout (Fkbp5) mice.
View Article and Find Full Text PDFHeliyon
July 2024
Cancer Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Background: Breast cancer is a highly malignant disease worldwide, but there are currently no sufficient molecular biomarkers to predict patient prognosis and guide radiotherapy. The tumor microenvironment (TME) is an important factor affecting tumor biological function, and changes in its composition are equally relevant to tumor progression and prognosis during radiotherapy.
Methods: Here, we performed bioinformatic analyses using data obtained from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases to screen for molecular biomarkers related to the TME that may influence radiotherapy sensitivity.
Curr Pharm Biotechnol
January 2025
Department of Intensive Care Unit, Affiliated Hospital of Guangdong Medical University, 524000 Zhanjiang, China.
Objectives: This study aimed to comprehensively investigate the molecular landscape of gastric cancer (GC) by integrating various bioinformatics tools and experimental validations.
Methodology: GSE79973 dataset, limma package, STRING, UALCAN, GEPIA, OncoDB, cBioPortal, DAVID, TISIDB, Gene Set Cancer Analysis (GSCA), tissue samples, RT-qPCR, and cell proliferation assay were employed in this study.
Results: Analysis of the GSE79973 dataset identified 300 differentially expressed genes (DEGs), from which COL1A1, COL1A2, CHN1, and FN1 emerged as pivotal hub genes using protein-protein interaction network analysis.
Eur Arch Paediatr Dent
January 2025
Dental School, The University of Western Australia, 17 Monash Avenue, Nedlands, WA, 6009, Australia.
Purpose: This systematic review aims to consolidate existing genetic and clinical data on non-syndromic dentinogenesis imperfecta (DI) to enhance understanding of its etiology.
Methods: Electronic databases were searched for genetic familial linkage studies published in English without time restrictions. Genetic familial linkage studies that reported cases of Shield's classifications: DI-II, DI-III or DD-II were included.
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