DNA microarrays or chips can be used to simultaneously monitor the expression levels and/or genotypes of thousands of genes. The application of these techniques heralds a new era in toxicology research, where genotypes and toxicant-induced expression signatures may be used to monitor cellular responses to different doses, to classify toxins on the basis of their mechanisms of action, to monitor exposures, and to predict individual variability in toxicant sensitivity. This unit reviews the current state of microarray technologies and discusses potential applications in toxicology, with emphasis on the strengths and limitations of the technologies.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/0471140856.tx0104s09 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Viral infections of the central nervous system increase the risk of knee osteoarthritis: a two-sample mendelian randomization study.
Aging Clin Exp Res
January 2025
Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, China.
Objective: Osteoarthritis (OA) represents a condition under the influence of central nervous system (CNS) regulatory mechanisms. This investigation aims to examine the causal association between viral infections of the central nervous system (VICNS) and inflammatory diseases of the central nervous system (IDCNS) and knee osteoarthritis (KOA) at the genetic level.
Methods: In this investigation, VICNS and IDCNS were considered as primary exposure variables, while KOA served as the primary outcome.
Dual role of Cathepsin S in cutaneous melanoma: insights from mendelian randomization and bioinformatics analysis.
BMC Cancer
January 2025
Department of Otolaryngology, Ruian People's Hospital), The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325027, China.
Background: Cutaneous melanoma (CM) is strongly associated with ultraviolet (UV) radiation, which contributes to the transformation of melanocytes into melanoma by inducing specific DNA damage. Here, we investigated the causal relationship between CM and genes related to sun-damaged skin, exploring specific target genes through various bioinformatics analyses.
Methods: The Gene Expression Omnibus (GEO) database was used to obtain differential genes for CM and normal skin, and the Genome-Wide Association Studies (GWAS) analysis offered summary-level melanoma data for CM.
Machine learning-driven identification of critical gene programs and key transcription factors in migraine.
J Headache Pain
January 2025
Clinical Systems Biology Laboratories, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Background: Migraine is a complex neurological disorder characterized by recurrent episodes of severe headaches. Although genetic factors have been implicated, the precise molecular mechanisms, particularly gene expression patterns in migraine-associated brain regions, remain unclear. This study applies machine learning techniques to explore region-specific gene expression profiles and identify critical gene programs and transcription factors linked to migraine pathogenesis.
View Article and Find Full Text PDFGut microbiota, immune cells, and chronic sinusitis: A Mendelian randomization analysis.
Medicine (Baltimore)
January 2025
The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan Province, China.
Allergic rhinitis (AR) is a common allergic inflammatory disease that affects the upper respiratory tract. Although previous research suggests a potential association between gut microbiota alterations and AR, the causal relationship remains unclear. This study employs Mendelian randomization (MR) to reduce confounding factors and reverse causality.
View Article and Find Full Text PDFRheumatoid arthritis and the risk of fracture: A Mendelian randomization study.
Medicine (Baltimore)
January 2025
Department of Minimally Invasive Spinal Surgery, The Affiliated Hospital of Putian University, Putian, China.
Observational epidemiological studies indicate a higher fracture incidence in rheumatoid arthritis (RA) patients compared to the general population. However, the causal relationship between RA and fracture risk, particularly traumatic and osteoporotic fractures, is not well established. We performed Mendelian randomization (MR) analysis to evaluate the causal relationship between RA and fracture risk.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!