Age-invariant genes: multi-tissue identification and characterization of murine reference genes (IMAGE)
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Figure 1. Visual diagram of article contents. (A) Bulk RNA-seq data from 17 murine tissues (GSE132040) were sequentially filtered through 7 criteria. The funnel is a visual depiction of the filtering process. Steps 1–4 are adapted from previous publications. We added criteria filters 5 and 6 to ensure low variation and no correlation with age. Criteria filter 7 was validation of low variation and no age correlation, performed in a second dataset for 11 of the 17 tissues. The filtering strategy resulted in 9 pan-tissue age-invariant genes (gene box). (B) Sample gender, age and life stage distributions of the samples in the dataset. A full table of samples can be found in Supplementary Table 10. (C) Classical reference genes are not applicable to all tissues in an aging context but age-invariant genes introduced here are. (D) Tissue aging-invariant genes are enriched to different extents for gene ontology terms associated with hallmarks of aging. Age-invariant genes have low enrichment in some (e.g. epigenetic alterations GO terms) and high enrichment in others (e.g. loss of proteostasis GO terms). Created with https://www.biorender.com/.
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Copyright: © 2025 González et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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