In this study, we have examined the mutagenicity of sodium arsenite at the xanthine-guanine phosphoribosyltransferase locus (ypt) in a pSV2 gpt-transformed CHO cell line, AS52. Our results provide very weak evidence for arsenite as a gene mutagen because the chemical at high doses and at high cytotoxicity enhances barely a doubling of mutant frequency (MF) and a doubling of the gpt gene deletion frequency compared to controls. We suggest that the increase in MF in arsenite-treated cells results from arsenic, as comutagen, enhancing the induction effect of any unknown endogenous or exogenous factors on the spontaneous mutagenesis of AS52 cells. Nested PCR analysis mutants has a total deletion of the gpt gene. For the spontaneous, 50 microM arsenite- and 100 microM arsenite-enhanced spontaneous mutants in AS52 cells, the percentages of total deletion of the gpt gene are 36.00%, 54.72% and 66.67%, respectively. We suggest that a high proportion of the gene deletion in arsenite-enhanced mutants may be due to the high cytotoxicity of the chemical.
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http://dx.doi.org/10.1016/0027-5107(96)00068-1 | DOI Listing |
Genes (Basel)
December 2024
Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.
Background/objectives: Artificial intelligence and large language models like ChatGPT and Google's Gemini are promising tools with remarkable potential to assist healthcare professionals. This study explores ChatGPT and Gemini's potential utility in assisting clinicians during the first evaluation of patients with suspected neurogenetic disorders.
Methods: By analyzing the model's performance in identifying relevant clinical features, suggesting differential diagnoses, and providing insights into possible genetic testing, this research seeks to determine whether these AI tools could serve as a valuable adjunct in neurogenetic assessments.
bioRxiv
January 2025
Division of Biology and Biological Engineering, 1200 E. California Boulevard, California Institute of Technology, Pasadena, CA 91125, USA.
Biological knowledgebases are essential resources for biomedical researchers, providing ready access to gene function and genomic data. Professional, manual curation of knowledgebases, however, is labor-intensive and thus high-performing machine learning methods that improve biocuration efficiency are needed. Here we report on sentence-level classification to identify biocuration-relevant sentences in the full text of published references for two gene function data types: gene expression and protein kinase activity.
View Article and Find Full Text PDFPlants (Basel)
December 2024
Stage Key Laboratory of Crop Biology, College of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Under NaHCO stress, exogenous 24-epibrassinolide (EBR) markedly alleviated Na accumulation in cucumber plants, thereby decreasing the Na/K, Na/Mg, and Na/Ca ratios. This mitigation was accompanied by elevated concentrations of K, Ca, and Mg, as well as enhanced expression of the and genes. In addition, the activities of plasma membrane H-ATPase, vesicular membrane H-ATPase, and vesicular membrane H-PPase were significantly increased, contributing to the maintenance of ionic balance in cucumber plants.
View Article and Find Full Text PDFCell Genom
January 2025
Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA. Electronic address:
Exploratory analysis of single-cell RNA sequencing (scRNA-seq) typically relies on hard clustering over two-dimensional projections like uniform manifold approximation and projection (UMAP). However, such methods can severely distort the data and have many arbitrary parameter choices. Methods that can model scRNA-seq data as non-discrete "gene expression programs" (GEPs) can better preserve the data's structure, but currently, they are often not scalable, not consistent across repeated runs, and lack an established method for choosing key parameters.
View Article and Find Full Text PDFDiagn Pathol
January 2025
Cell Culture Laboratory, School of Dentistry, Federal University of Para, Rua Augusto Correa, 01 Guama, Belem, PA, 66075110, Brazil.
Background: Considering the significant participation of the microenvironment in the local aggressiveness of odontogenic keratocysts, this study aims to evaluate the expression of ADAMTS-1 and its substrates, versican, aggrecan and brevican in this locally invasive odontogenic cyst.
Methods: Immunohistochemistry and polymerase chain reaction (PCR) were conducted on 30 cases of odontogenic keratocysts (OKCs) and 20 dental follicles (DFs).
Results: The immunohistochemical expression of these proteins was predominantly cytoplasmic and granular across all samples.
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