RESUMEN
Although the cell atlas of the human ocular anterior segment of the human eye was revealed by single-nucleus RNA sequencing, whether subtypes of lens stem/progenitor cells exist among epithelial cells and the molecular characteristics of cell differentiation of the human lens remain unclear. Single-cell RNA sequencing is a powerful tool to analyse the heterogeneity of tissues at the single cell level, leading to a better understanding of the processes of cell differentiation. By profiling 18,596 cells in human lens superficial tissue through single-cell sequencing, we identified two subtypes of lens epithelial cells that specifically expressed C8orf4 and ADAMTSL4 with distinct spatial localization, a new type of fibre cells located directly adjacent to the epithelium, and a subpopulation of ADAMTSL4+ cells that might be lens epithelial stem/progenitor cells. We also found two trajectories of lens epithelial cell differentiation and changes of some important genes during differentiation.
Asunto(s)
Cristalino , Humanos , Cristalino/metabolismo , Epitelio , Células Epiteliales/metabolismo , Ojo , Diferenciación Celular , Análisis de Secuencia de ARNRESUMEN
Neonatal hypoxic-ischemic brain damage (HIBD) remains an important cause of neonatal death and disability in infants and young children, but it has a complex mechanism and lacks specific treatment methods. As a new type of programmed cell death, ferroptosis has gradually attracted more and more attention as a new therapeutic target. This article reviews the research advances in abnormal iron metabolism, glutamate antiporter dysfunction, and abnormal lipid peroxide regulation which are closely associated with ferroptosis and HIBD.
Asunto(s)
Ferroptosis , Hipoxia-Isquemia Encefálica , Animales , Animales Recién Nacidos , Encéfalo , Niño , Preescolar , Humanos , Recién Nacido , NeuronasRESUMEN
With the aggravation of environmental pollution and energy crisis, the sustainable microbial fermentation process of converting glycerol to 1,3-propanediol (1,3-PDO) has become an attractive alternative. However, the difficulty in the online measurement of glycerol and 1,3-PDO creates a barrier to the fermentation process and then leads to the residual glycerol and therefore, its wastage. Thus, in the present study, the four-input artificial neural network (ANN) model was developed successfully to predict the concentration of glycerol, 1,3-PDO, and biomass with high accuracy. Moreover, an ANN model combined with a kinetic model was also successfully developed to simulate the fed-batch fermentation process accurately. Hence, a soft sensor from the ANN model based on NaOH-related parameters has been successfully developed which cannot only be applied in software to solve the difficulty of glycerol and 1,3-PDO online measurement during the industrialization process, but also offer insight and reference for similar fermentation processes.