Investigating Mitochondrial Gene Expression Patterns in Drosophila melanogaster Using Network Analysis to Understand Aging Mechanisms

The process of aging is a complex phenomenon that involves progressive decline in physiological functions required for survival and fertility. To better understand the mechanisms underlying this process, scientific community has utilized several tools. Among them, mitochondrial DNA emerged as crucial factor biological aging, given dysfunction thought to significantly contribute phenomenon. Additionally, Drosophila melanogaster proven be valuable model organism studying due its low cost, capacity generate large populations, ease genetic manipulation tissue dissection. Moreover, graph theory been employed dynamic changes gene expression patterns associated with investigate interactions between aging-related diseases. In study, we have integrated these approaches examine co-expression at various stages development. By applying graph-theory techniques, identified modules co-expressing genes, highlighting those contain high number genes. We found important genes involved age-related diseases melanogaster, including UQCR-C1, ND-B17.2, ND-20, Pdhb. Our findings shed light on role demonstrate utility research.