Squamous cell carcinoma of the head and neck and its subset, oral squamous cell carcinoma (OSCC), arise through a multistep process of genetic alterations as a result of exposure to environmental agents, such as tobacco smoke, alcoholic beverages, and viruses, including human papillomavirus. We and others have shown that the karyotypes of OSCC are near-triploid and contain multiple structural and numerical abnormalities. However, despite a background of clonal chromosomal aberrations, individual cells within a culture express many nonclonal numerical and structural abnormalities, termed chromosomal instability (CIN). To evaluate CIN in oral cancer cells, we isolated clones from two OSCC cell lines and carried out classical cytogenetic analysis, fluorescence in situ hybridization using centromere-specific probes, and spectral karyotyping. We observed variation in chromosome number within clones and between clones of the same cell line. Although similar numbers of centromeric signals for a particular chromosome were present, "homologs" of a chromosome varied structurally from cell to cell (marker chromosome evolution) as documented by classical and spectral karyotyping. In addition to the numerical chromosome variations within a clone, we observed marker chromosome evolution by structural chromosome alterations. It appears that both intrinsic structural alterations and extrinsic cytoskeletal factors influence chromosome segregation, resulting in individual tumor cells that express unique karyotypes. We show that CIN and marker chromosome evolution are essential acquired features of neoplastic cells. Proliferation of this heterogeneous cell population may provide some cells with the ability to evade standard therapies.
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Front Microbiol
December 2024
College of Biology, Hunan University, Changsha, China.
Introduction: Dengue viruses (DENVs), the causative agents of dengue hemorrhagic fever and dengue shock syndrome, undergo genetic mutations that result in new strains and lead to ongoing global re-infections.
Objectives: To address the growing complexity of identifying and tracking biological samples, this study screened RNA barcode segments for the four DENV serotypes, ensuring high specificity and recall rates for DENV identification using segments.
Results: Through analyzing complete genome sequences of DENVs, we screened eight barcode segments for DENV, DENV-1, DENV-2, DENV-3, and DENV-4 identification.
Food Chem (Oxf)
December 2024
Department of Food and Nutritional Sciences, University of Reading, Harry Nursten Building, Whiteknights, Reading RG6 6DZ, UK.
[This corrects the article DOI: 10.1016/j.fochms.
View Article and Find Full Text PDFFront Plant Sci
December 2024
College of Life Sciences, Gannan Normal University, Ganzhou, China.
Introduction: Chinese kale ( var. alboglabra), is an annual herb belonging to the Brassica genus of Cruciferae, and is one of the famous specialty vegetables of southern China. Some varieties show bright green leaf (BGL) traits and have better commerciality.
View Article and Find Full Text PDFJ Res Med Sci
November 2024
Department of Medical Laboratory Technology, University of Tabuk, Tabuk, Saudi Arabia.
Background: The study aimed to detect the association between insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2) and interleukin-6 (IL-6) polymorphisms among type 2 diabetes mellitus (T2DM).
Materials And Methods: This study involved 500 individuals; 250 obese DM cases and 250 healthy controls. The polymerase chain reaction restriction fragment length polymorphism was used to identify the genotype of the IGF2BP2 gene for the small nucleoproteins rs4402960 (G>T) and small nucleoproteins rs800795 (G>C).
Traditional clustering and visualization approaches in human genetics often operate under frameworks that assume inherent, discrete groupings . These methods can inadvertently simplify multifaceted relationships, functioning to entrench the idea of typological groups . We introduce a network-based pipeline and visualization tool grounded in relational thinking , which constructs networks from a variety of genetic similarity metrics.
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