Comparing two Different RNA Production Databases show Similar Patterns of Age-Related Changes and Demonstrates how Ontogenesis Defines Aging

Author(s): Lev Salnikov, Saveli Goldberg, Eugene Pinsky, Heena Rijhwani, Michael Golitsyn.

Most authors studying the causes of aging link them to the ontogenesis program, but the question of the mechanisms linking these phenomena remains open. In this paper we continue the statistical analysis of RNASeq results of the whole genome of Mus musculus during their lifetime by comparing two different databases, GSE132040 and GSE34378 submitted to NCBI. We hypothesize that the implementation of a developmental program by cells and their transition to active function is a major mechanism of aging. We focus our attention on the dynamics of two functional groups of the cell genome that perform the main tasks of the organism: its selfsupply, based on the function of the group of housekeeping genes (HG), and functional specialization, provided by the group of integrative genes (IntG). We used the value of the HG/IntG production ratio in both databases to compare the results in terms of absolute values of RNA production. In both databases, this ratio had a strong tendency to decrease with age. We also used the data obtained by calculating the deviation from the mean value for each of the genes in both databases. This approach allowed us to compare the age-related dynamics of RNA production in relative values independent of absolute values. The results confirm the presence of a strong tendency to increase the production of all genes of the IntG group with a simultaneous decrease in the production of all HG genes in both databases with increasing age. The obtained results were also confirmed by the data on cluster analysis of gene production dynamics.

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