{"title":"Universal Markers of Cellular and Replicative Senescence","authors":"M. S. Arbatskiy, D. E. Balandin","doi":"10.1134/S2079057025600028","DOIUrl":null,"url":null,"abstract":"<p>The investigation into cellular and replicative senescence is crucial for both biology and medicine, particularly in light of the increasing percentage of the elderly population. Gaining a deeper understanding of the mechanisms of these forms of aging can help develop strategies aimed at prolonging active longevity. By comparing the processes of cellular and replicative senescence, researchers can reveal both common and distinct molecular mechanisms, thus opening up innovative approaches to diagnosing and treating age-related diseases. The identified aging markers can contribute to personalized medicine and improving the diagnosis and treatment of aging cells. Thus, these studies greatly facilitate the development of methods for combating age-related diseases. The study aims to analyze cellular and replicative senescence in order to identify common mechanisms underlying the aging process. The goal is to understand the relationship between these processes and their influence on age-related changes. The specific objectives of this work include identifying aspects of aging and molecular markers that can be used for the diagnosis and monitoring of age-related disorders. The findings from this study will contribute to the prevention and treatment of age-related conditions, thereby improving overall population health. The public datasets E-MTAB-4879 (cellular senescence) and GSE130727 (replicative senescence) are analyzed. Quality control is carried out using the FastQC program. Adapter removal is performed by sequencing using the cutadapt 2.3 and Trimmomatic-0.38 programs. Mapping is carried out using the bowtie2-2.4.0 program. Reverification of the mapping results is performed using the kallisto-v0.45.0 pseudo-alignment algorithm. Quantification is carried out using featureCounts. RPKM (Read Per Kilobase per Million) normalization is applied (to average the total reads, coverage depth, and gene length). The mirnet.ca online service is used to search for regulatory miRNAs. For groups of genes that showed decreased (7275) and increased (5059) expression levels in the E-MTAB-4879 and GSE130727 datasets after filtering, we identify the biological processes they are involved in. For lists of the top 15 genes, we provide information on their role in the aging process. Additionally, for a group of commonly expressed genes, functional groups are determined using GO. The study compares two aging-related gene datasets and a total of 7275 genes with decreased expression are identified. Of these, 1342 show significant decreases in expression, with processes related to G-protein signaling, cholesterol metabolism, and cytokine signaling standing out. Some genes affect aging through inflammatory responses, membrane potential control, neurodegeneration, and cell differentiation. 143 noncoding RNAs associated with aging and cancer are identified upon further analysis. In a separate group, 1673 genes exhibit increased expression, involving processes such as glycerolipid biosynthesis and actin filament regulation, as well as wound healing. Among these, 194 noncoding RNAs are linked to oncogenesis and osteogenesis. In conclusion, our study has identified key differences and similarities between cellular and replicative senescence. This has allowed us to gain a deeper understanding of these aging processes and their roles in age-related changes. The analysis has revealed that common molecular mechanisms such as decreased gene expression related to G-protein signaling and cholesterol metabolism significantly influence both forms of senescence. Additionally, unique features have been identified, including differences in gene and noncoding RNA expression, which opens up possibilities for the development of personalized diagnostic and treatment strategies. These identified markers and mechanisms have the potential to contribute not only to diagnosis but also to the monitoring of age-related changes and improving approaches to age-associated disease treatment. Therefore, our research significantly contributes to the development of techniques to combat age-associated diseases by emphasizing the significance of investigating both the common and distinctive features of cellular and replicative senescence.</p>","PeriodicalId":44756,"journal":{"name":"Advances in Gerontology","volume":"14 3","pages":"127 - 134"},"PeriodicalIF":0.6000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Gerontology","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1134/S2079057025600028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The investigation into cellular and replicative senescence is crucial for both biology and medicine, particularly in light of the increasing percentage of the elderly population. Gaining a deeper understanding of the mechanisms of these forms of aging can help develop strategies aimed at prolonging active longevity. By comparing the processes of cellular and replicative senescence, researchers can reveal both common and distinct molecular mechanisms, thus opening up innovative approaches to diagnosing and treating age-related diseases. The identified aging markers can contribute to personalized medicine and improving the diagnosis and treatment of aging cells. Thus, these studies greatly facilitate the development of methods for combating age-related diseases. The study aims to analyze cellular and replicative senescence in order to identify common mechanisms underlying the aging process. The goal is to understand the relationship between these processes and their influence on age-related changes. The specific objectives of this work include identifying aspects of aging and molecular markers that can be used for the diagnosis and monitoring of age-related disorders. The findings from this study will contribute to the prevention and treatment of age-related conditions, thereby improving overall population health. The public datasets E-MTAB-4879 (cellular senescence) and GSE130727 (replicative senescence) are analyzed. Quality control is carried out using the FastQC program. Adapter removal is performed by sequencing using the cutadapt 2.3 and Trimmomatic-0.38 programs. Mapping is carried out using the bowtie2-2.4.0 program. Reverification of the mapping results is performed using the kallisto-v0.45.0 pseudo-alignment algorithm. Quantification is carried out using featureCounts. RPKM (Read Per Kilobase per Million) normalization is applied (to average the total reads, coverage depth, and gene length). The mirnet.ca online service is used to search for regulatory miRNAs. For groups of genes that showed decreased (7275) and increased (5059) expression levels in the E-MTAB-4879 and GSE130727 datasets after filtering, we identify the biological processes they are involved in. For lists of the top 15 genes, we provide information on their role in the aging process. Additionally, for a group of commonly expressed genes, functional groups are determined using GO. The study compares two aging-related gene datasets and a total of 7275 genes with decreased expression are identified. Of these, 1342 show significant decreases in expression, with processes related to G-protein signaling, cholesterol metabolism, and cytokine signaling standing out. Some genes affect aging through inflammatory responses, membrane potential control, neurodegeneration, and cell differentiation. 143 noncoding RNAs associated with aging and cancer are identified upon further analysis. In a separate group, 1673 genes exhibit increased expression, involving processes such as glycerolipid biosynthesis and actin filament regulation, as well as wound healing. Among these, 194 noncoding RNAs are linked to oncogenesis and osteogenesis. In conclusion, our study has identified key differences and similarities between cellular and replicative senescence. This has allowed us to gain a deeper understanding of these aging processes and their roles in age-related changes. The analysis has revealed that common molecular mechanisms such as decreased gene expression related to G-protein signaling and cholesterol metabolism significantly influence both forms of senescence. Additionally, unique features have been identified, including differences in gene and noncoding RNA expression, which opens up possibilities for the development of personalized diagnostic and treatment strategies. These identified markers and mechanisms have the potential to contribute not only to diagnosis but also to the monitoring of age-related changes and improving approaches to age-associated disease treatment. Therefore, our research significantly contributes to the development of techniques to combat age-associated diseases by emphasizing the significance of investigating both the common and distinctive features of cellular and replicative senescence.
对细胞和复制衰老的研究对于生物学和医学都是至关重要的,特别是在老年人口比例不断增加的情况下。深入了解这些形式的衰老机制有助于制定旨在延长积极寿命的策略。通过比较细胞和复制衰老的过程,研究人员可以揭示共同和独特的分子机制,从而开辟了诊断和治疗与年龄相关疾病的创新方法。识别的衰老标志物有助于个性化医疗,提高衰老细胞的诊断和治疗。因此,这些研究极大地促进了对抗与年龄有关的疾病的方法的发展。该研究旨在分析细胞和复制衰老,以确定衰老过程的共同机制。目的是了解这些过程之间的关系以及它们对年龄相关变化的影响。这项工作的具体目标包括确定衰老和可用于诊断和监测年龄相关疾病的分子标记方面。这项研究的结果将有助于预防和治疗与年龄有关的疾病,从而改善总体人口健康。对公共数据集E-MTAB-4879(细胞衰老)和GSE130727(复制衰老)进行分析。使用FastQC程序进行质量控制。使用cutadapt 2.3和Trimmomatic-0.38程序进行测序,去除适配器。使用bowtie -2.4.0程序进行映射。使用kallisto-v0.45.0伪对齐算法对映射结果进行验证。使用特征计数进行量化。应用RPKM (Read Per Kilobase Per Million)归一化(平均总读取、覆盖深度和基因长度)。mirnet。“ca”在线服务用于查询调控mirna。对于筛选后在E-MTAB-4879和GSE130727数据集中表达水平下降(7275)和增加(5059)的基因组,我们确定了它们参与的生物过程。对于排名前15位的基因列表,我们提供了它们在衰老过程中所起作用的信息。此外,对于一组常见表达的基因,功能群是用氧化石墨烯确定的。该研究比较了两个与衰老相关的基因数据集,共鉴定出7275个表达降低的基因。其中,1342个表达显著减少,与g蛋白信号传导、胆固醇代谢和细胞因子信号传导相关的过程尤为突出。一些基因通过炎症反应、膜电位控制、神经变性和细胞分化影响衰老。通过进一步分析,确定了143种与衰老和癌症相关的非编码rna。在另一组中,1673个基因表达增加,涉及甘油脂生物合成、肌动蛋白丝调节以及伤口愈合等过程。其中,194种非编码rna与肿瘤发生和成骨有关。总之,我们的研究已经确定了细胞衰老和复制衰老之间的关键差异和相似之处。这使我们能够更深入地了解这些衰老过程及其在年龄相关变化中的作用。分析表明,g蛋白信号和胆固醇代谢相关的基因表达减少等共同的分子机制显著影响两种形式的衰老。此外,已经确定了独特的特征,包括基因和非编码RNA表达的差异,这为个性化诊断和治疗策略的发展开辟了可能性。这些已确定的标记物和机制不仅有助于诊断,而且有助于监测与年龄有关的变化和改进与年龄有关的疾病治疗方法。因此,我们的研究通过强调研究细胞和复制衰老的共同和独特特征的重要性,为对抗年龄相关疾病的技术发展做出了重大贡献。
期刊介绍:
Advances in Gerontology focuses on biomedical aspects of aging. The journal also publishes original articles and reviews on progress in the following research areas: demography of aging; molecular and physiological mechanisms of aging, clinical gerontology and geriatrics, prevention of premature aging, medicosocial aspects of gerontology, and behavior and psychology of the elderly.