Institute of Medical Sciences, Rzeszów University, 35-959, Rzeszów, Poland.
Institute of Biochemistry and Biophysics, Polish Academy of Sciences, 02-106, Warsaw, Poland.
Biogerontology. 2024 Oct;25(5):859-881. doi: 10.1007/s10522-024-10113-x. Epub 2024 Jun 6.
Aging is defined as a progressive decline in physiological integrity, leading to impaired biological function, including fertility, and rising vulnerability to death. Disorders of DNA replication often lead to replication stress and are identified as factors influencing the aging rate. In this study, we aimed to reveal how the cells that lost strict control of the formation of crucial for replication initiation a pre-initiation complex impact the cells' physiology and aging. As strains with the lower pre-IC control (lowPICC) we used, Saccharomyces cerevisiae heterozygous strains having only one functional copy of genes, encoding essential replication proteins such as Cdc6, Dbf4, Sld3, Sld7, Sld2, and Mcm10. The lowPICC strains exhibited a significant reduction in the respective genes' mRNA levels, causing cell cycle aberrations and doubling time extensions. Additionally, the reduced expression of the lowPICC genes led to an aberrant DNA damage response, affected cellular and mitochondrial DNA content, extended the lifespan of post-mitotic cells, and increased the yeast's reproductive potential. Importantly, we also demonstrated a strong negative correlation between the content of cellular macromolecules (RNA, proteins, lipids, polysaccharides) and aging. The data presented here will likely contribute to the future development of therapies for treating various human diseases.
衰老是指生理完整性的逐渐下降,导致生物功能受损,包括生育能力下降,以及死亡风险增加。DNA 复制障碍通常会导致复制应激,并被认为是影响衰老速度的因素。在这项研究中,我们旨在揭示失去严格控制复制起始前复合物形成的细胞如何影响细胞的生理学和衰老。我们使用了具有较低预 IC 控制(lowPICC)的酵母菌株,这些菌株只具有一个功能拷贝的基因,这些基因编码必需的复制蛋白,如 Cdc6、Dbf4、Sld3、Sld7、Sld2 和 Mcm10。lowPICC 菌株表现出相应基因 mRNA 水平的显著降低,导致细胞周期异常和倍增时间延长。此外,lowPICC 基因的表达减少导致异常的 DNA 损伤反应,影响细胞和线粒体 DNA 含量,延长有丝分裂后细胞的寿命,并增加酵母的繁殖潜力。重要的是,我们还证明了细胞内大分子(RNA、蛋白质、脂质、多糖)含量与衰老之间存在很强的负相关关系。这里呈现的数据可能有助于未来开发治疗各种人类疾病的疗法。