The multiplex analysis system described here allows simultaneous typing of one short tandem repeat (STR) and three single nucleotide polymorphisms (SNPs) that are associated with obesity and/or osteoporosis. Genes that are related to a high body mass index (BMI) and/or a high bone mineral density (BMD) are presumed to give an advantage in surviving famines. This analysis system makes it possible to genotype the (TTTA)n polymorphism of CYP19 and three SNPs, namely the rs1800795 polymorphism of IL6, the rs373 6228 polymorphism of LRP5 and the rs993 9609 polymorphism of FTO, in a single PCR amplification in recent and ancient DNA samples. Furthermore, it allows a synchronous authentication of the results with the (TATC)n polymorphism of D13S317, the (TCTA)n polymorphism of D21S11 and the (TTTC)n polymorphism of FGA in a partial genetic fingerprinting. For this purpose, PCR products for fragment-length analysis, as well as those for sequence analysis, were amplified together. After amplification, the PCR product was split into two aliquots. The first aliquot was used for fragment-length analysis and the second one for sequence analysis. The analysis system described here has been optimized for analysing ancient samples, since only minimal amounts of material are available.
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http://dx.doi.org/10.1127/0003-5548/2012/0161 | DOI Listing |
Bioinformatics
January 2025
Department of Pathology and Department of Immunobiology, Yale School of Medicine.
Summary: With the increased reliance on multi-omics data for bulk and single cell analyses, the availability of robust approaches to perform unsupervised learning for clustering, visualization, and feature selection is imperative. We introduce nipalsMCIA, an implementation of multiple co-inertia analysis (MCIA) for joint dimensionality reduction that solves the objective function using an extension to Non-linear Iterative Partial Least Squares (NIPALS). We applied nipalsMCIA to both bulk and single cell datasets and observed significant speed-up over other implementations for data with a large sample size and/or feature dimension.
View Article and Find Full Text PDFIntegr Cancer Ther
January 2025
Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Background: The incidence and mortality of lung cancer is the highest among malignant tumors worldwide, and it seriously threatens human life and health. Surgery is the primary radical treatment for lung cancer. However, patients often experience discomfort, changes in social roles, economic pressures, and other postsurgical challenges.
View Article and Find Full Text PDFJ Cell Mol Med
January 2025
Department of Medical Biology, Faculty of Medicine, Kutahya Health Sciences University, Kutahya, Turkey.
Chemotherapy is a potent tool against cancer, but drug resistance remains a major obstacle. To combat this, understanding the molecular mechanisms behind resistance in cancer cells and the protein expression changes driving these mechanisms is crucial. Targeting the Ubiquitin-Proteasome System (UPS) has proven effective in treating multiple myeloma and shows promise for solid tumours.
View Article and Find Full Text PDFXi Bao Yu Fen Zi Mian Yi Xue Za Zhi
January 2025
Business Department, Hanzhong Central Blood Station, Hanzhong 723000, China. *Corresponding authors, E-mail:
Objective This study aims to investigate and analyze the distribution of MN blood type among ethnic minorities in China. Methods Through a systematic retrieval of the 981 literature related to MN blood group distribution, 120 literature, meeting the criteria of this study, with complete data were selected. The literature covers 49 ethnic minorities.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Department of Industrial Engineering, Dalhousie University, PO Box 15000, Halifax, B3H 4R2, NS, Canada.
Background: The growing demand for healthcare services challenges patient flow management in health systems. Alternative Level of Care (ALC) patients who no longer need acute care yet face discharge barriers contribute to prolonged stays and hospital overcrowding. Predicting these patients at admission allows for better resource planning, reducing bottlenecks, and improving flow.
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