Chromosomal damage occurs both endogenously and exogenously and is a crucial factor in the induction of carcinogenesis. Chemically induced chromosomal damage is mainly exogenous. The OECD has developed methods to detect chemicals that induce chromosomal damage so as to identify hazardous substances and limit their exposure to humans. The development and improvement of in vitro mammalian cell methods have been the focus of recent research, as these techniques have higher throughput than in vivo animal methods and are cruelty-free. In vitro mammalian cell methods are highly sensitive and widely used. Nevertheless, they have a high frequency of misleading positive test results, causing the wastage of vital raw materials and pharmaceutical agents, and necessitating additional in vivo animal tests. Therefore, the improvement of in vitro mammalian cell methods is required. Novel methodologies have been proposed and developed for robust animal-free evaluation. As they include omics and AI approaches that use big data, they may enable objective, multidirectional interpretation when applied in combination with current in vitro experimental techniques. We review the existing approaches toward improving chromosome damage detection and introduce innovative techniques that facilitate animal-free testing. The current and latest evaluation methods can support the protection of public health as well as the development of promising chemicals that enrich our lives.

Liver cancer is highly heterogeneous and has a poor prognosis. We aimed to identify a drug metabolism-related prognostic subtype and a gene signature as references for prognosis and therapy options for patients with liver cancer. Patient information was collected from online databases. Drug metabolism-related genes were obtained from previous studies and were used to screen differentially expressed prognostic genes. The patients were divided into different clusters and differences in clinical features, immunity, pathways and therapy responses between the clusters were analyzed. LASSO analysis was performed to identify the optimal prognostic genes and establish a risk score model. Finally, the risk score distribution in different subtypes was investigated. A total of 54 prognostic genes were identified to categorize the patients into cluster 1 and cluster 2. Cluster 1 showed worse survival than cluster 2, and cluster 1 also showed high levels of malignancy. Furthermore, cluster 1 exhibited a higher TIDE (tumor immune dysfunction and exclusion) score and lower IC50 response to paclitaxel, gemcitabine and camptothecin, indicating that cluster 1 individuals may derive more benefit from immunotherapy but less benefit from chemotherapy. The risk score, based on the six optimal prognostic genes, demonstrated an adequate prognostic capability. The high-risk group showed worse survival; meanwhile, cluster 1 contained the majority of high-risk samples. Our results should be useful for prognosis and specific therapy for patients with liver cancer. Patients with the features of cluster 1 and a high risk score will tend to exhibit worse survival. Furthermore, immunotherapy may be more suitable for cluster 1-type patients while chemotherapy may be more suitable for cluster 2 patients.

Genome instability is a major cause of aging. In the budding yeast Saccharomyces cerevisiae, instability of the ribosomal RNA gene repeat (rDNA) is known to shorten replicative lifespan. In yeast, rDNA instability in an aging cell is associated with accumulation of extrachromosomal rDNA circles (ERCs) which titrate factors critical for lifespan maintenance. ERC accumulation is not detected in mammalian cells, where aging is linked to DNA damage. To distinguish effects of DNA damage from those of ERC accumulation on senescence, we re-analyzed a yeast strain with a replication initiation defect in the rDNA, which limits ERC multiplication. In aging cells of this strain (rARS-∆3) rDNA became unstable, as in wild-type cells, whereas significantly fewer ERCs accumulated. Single-cell aging analysis revealed that rARS-∆3 cells follow a linear survival curve and can have a wild-type replicative lifespan, although a fraction of the cells stopped dividing earlier than wild type. The doubling time of rARS-∆3 cells appears to increase in the final cell divisions. Our results suggest that senescence in rARS-∆3 is linked to the accumulation of DNA damage as in mammalian cells, rather than to elevated ERC level. Therefore, this strain should be a good model system to study ERC-independent aging.

Neural activity-dependent synaptic plasticity is an important physiological phenomenon underlying environmental adaptation, memory and learning. However, its molecular basis, especially in presynaptic neurons, is not well understood. Previous studies have shown that the number of presynaptic active zones in the Drosophila melanogaster photoreceptor R8 is reversibly changed in an activity-dependent manner. During reversible synaptic changes, both synaptic disassembly and assembly processes were observed. Although we have established a paradigm for screening molecules involved in synaptic stability and several genes have been identified, genes involved in stimulus-dependent synaptic assembly are still elusive. Therefore, the aim of this study was to identify genes regulating stimulus-dependent synaptic assembly in Drosophila using an automated synapse quantification system. To this end, we performed RNAi screening against 300 memory-defective, synapse-related or transmembrane molecules in photoreceptor R8 neurons. Candidate genes were narrowed down to 27 genes in the first screen using presynaptic protein aggregation as a sign of synaptic disassembly. In the second screen, we directly quantified the decreasing synapse number using a GFP-tagged presynaptic protein marker. We utilized custom-made image analysis software, which automatically locates synapses and counts their number along individual R8 axons, and identified cirl as a candidate gene responsible for synaptic assembly. Finally, we present a new model of stimulus-dependent synaptic assembly through the interaction of cirl and its possible ligand, ten-a. This study demonstrates the feasibility of using the automated synapse quantification system to explore activity-dependent synaptic plasticity in Drosophila R8 photoreceptors in order to identify molecules involved in stimulus-dependent synaptic assembly.

Alzheimer’s disease (AD) and major depressive disorder (MDD) are comorbid neuropsychiatric disorders that are among the leading causes of long-term disability worldwide. Recent research has indicated the existence of parallel molecular mechanisms between AD and MDD in the dorsolateral prefrontal cortex (DLPFC). However, the premorbid history and molecular mechanisms have not yet been well characterized. In this study, differentially expressed gene (DEG), differentially co-expressed gene and protein–protein interaction (PPI) network propagation analyses were applied to gene expression data of postmortem DLPFC samples from human individuals diagnosed with and without AD or MDD (AD: cases = 310, control = 157; MDD: cases = 75, control = 161) to identify the main genes in the two disorders’ specific and shared biological pathways. Subsequently, the results were evaluated using another four assessment datasets (n1 = 230, n2 = 65, n3 = 58, n4 = 48). Moreover, the postmortem DLPFC methylation status of human subjects with AD or MDD was compared using 68 and 608 samples for AD and MDD, respectively. Eight genes (XIST, RPS4Y1, DDX3Y, USP9Y, DDX3X, TMSB4Y, ZFY and E1FAY) were common DEGs in DLPFC of subjects with AD or MDD. These genes play important roles in the nervous system and the innate immune system. Furthermore, we found HSPG2, DAB2IP, ARHGAP22, TXNRD1, MYO10, SDK1 and KRT82 as common differentially methylated genes in the DLPFC of cases with AD or MDD. Finally, as evidence of shared molecular mechanisms behind this comorbidity, we propose some genes as candidate biomarkers for both AD and MDD. However, more research is required to clarify the molecular mechanisms underlying the co-existence of these two important neuropsychiatric disorders.