Previous studies have shown that blood transcriptome changes with age, which can reflect the aging of the body to a certain extent. Dog whole blood expression data were downloaded from Zeng et al., and included samples from 30 dogs aged 1 to 9 at the time of blood draw (dog_information.txt, dog_both_ortholog_cpm.txt).This work was published in Aging Cell at 2024 by Zeng et al. (https://doi.org/10.1111/acel.14127).
Human whole blood expression data were downloaded from ARCHS4, and included information from 527 humans aged 8 to 75 years at the time of collection (GSE94438, GSE112087, GSE123658 and GSE134080)(human_information.txt, huaman_both_ortholog_cpm.txt). In order to align the gene expression levels between different species we downloaded the homologous gene list from humans, dogs and mice using the OMA Orthology. We obtained 13,783 one to one ortholog genes with expression data, thus generating a complete dataset for studies of aging. We conducted scatter plots using log-transformed counts per million (CPM) for humans and dogs of various ages, and applied the loess method to smooth the fitted curves. You can search for the gene of interest and view its expression profile in dogs and humans of different ages.
