Broadly defined, nanoscale materials are substances in which at least one critical dimension is less than 100 nm. Nanoscale materials are employed in several industrial applications as well as in biology and medicine. Despite their wide use, very little research has been carried out on the potential toxicity of nanoparticles. For this reason, we report on a molecular approach in nanotoxicology research. Using the differential display technique, we focused our attention on mRNA expression in a BALB3T3 A31-1-1 cell line that was not exposed and exposed for 72 h to 1 microM of cobalt microparticles (Co-mu), nanoparticles (Co-nano), and ions. In the experiments, we obtained 10 differentially expressed sequences. These genes represent candidate biomarkers capable of indicating specific cellular effects after Co-nano exposure. In addition, our results show that treatment with Co-nano somehow activates cellular pathways of defense and repair mechanisms. It is also evident that molecular techniques are valuable tools in nanotoxicology research, where they will certainly find wide use.
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http://dx.doi.org/10.1016/j.toxlet.2007.03.005 | DOI Listing |
FASEB J
January 2025
Department of Medicine, Hematology and Oncology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Nuclear factor of activated T-cells 5 (NFAT5) is a transcription factor known for its role in osmotic stress adaptation in the renal inner medulla, due to the osmotic gradient that is generated between the renal cortex and renal inner medulla. However, its broader implications in kidney injury and chronic kidney disease (CKD) are less understood. Here we used two different Cre deleter mice (Ksp1.
View Article and Find Full Text PDFGenes Genomics
January 2025
Cytogenetics Laboratory, Department of Zoology, Institute of Science, Banaras Hindu University, Varanasi, 221005, India.
Background: Cervical cancer is the fourth most common cancer worldwide in females. This occurs primarily due to the infection of high-risk Human Papilloma Virus (HPV), although in advanced stages it requires support from host cellular factors. BRN3A is one such host cellular factors, whose expression remains high in cervical cancers and upregulates tumorigenic HPV gene expression.
View Article and Find Full Text PDFMol Biol Rep
January 2025
Division of Animal Genetics, ICAR-Indian Veterinary Research Institute (ICAR-IVRI), Izatnagar, Bareilly 243 122, Uttar Pradesh, India.
Background: Litter size in mice is an important fitness and economic feature that is controlled by several genes and influenced by non-genetic factors too. High positive selection pressure in each generation for Litter size at birth (LSB), resulted in the development of high and low prolific lines of inbred Swiss albino mice (SAM). Despite uniform management conditions, these lines showed variability in LSB across the generation.
View Article and Find Full Text PDFMicrobiol Spectr
January 2025
Department of Microbiology, Immunology & Molecular Genetics, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
a major human fungal pathogen, can form biofilms on a variety of inert and biological surfaces. biofilms allow for immune evasion, are highly resistant to antifungal therapies, and represent a significant complication for a wide variety of immunocompromised patients in clinical settings. While transcriptional regulators and global transcriptional profiles of biofilm formation have been well-characterized, much less is known about translational regulation of this important virulence property.
View Article and Find Full Text PDFAnn Med
December 2025
Central Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Background: Despite surgical and intravesical chemotherapy interventions, non-muscle invasive bladder cancer (NMIBC) poses a high risk of recurrence, which significantly impacts patient survival. Traditional clinical characteristics alone are inadequate for accurately assessing the risk of NMIBC recurrence, necessitating the development of novel predictive tools.
Methods: We analyzed microarray data of NMIBC samples obtained from the ArrayExpress and GEO databases.
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