Skip to content
Preprint via OpenAlex

Dataset: Deciphering the Transcriptomic Signatures of Aging Across Organs in Mice

Dan Ehninger, Enzo Scifo, Sarah Morsy

DZNE Pub · 2026

Abstract

Aging is a key risk factor for disease in mammals, yet its molecular basis across organs remains unclear. Here, we performed bulk RNA sequencing on eight organs (brain, heart, kidney, liver, lung, skeletal muscle, spleen, testis) from male C57BL/6J mice at distinct life stages. Our analysis revealed that age-related transcriptomic shifts vary in timing and magnitude: early in lung, spleen, testis; mid-life in heart, kidney, skeletal muscle; and late in brain and liver. Magnitude ranged from very low (testis), low (brain, heart), moderate (lungs, skeletal muscle) to high (kidneys, liver, spleen). We uncovered organ-specific aging signatures, for instance, mitochondrial and epigenetic regulation in the kidney, metabolic/detoxification in the lung, and angiogenesis as well as ribosome biogenesis in the spleen). We also identified shared transcriptomic signatures, such as cellular senescence(definition) in the kidney and skeletal muscle, ECM remodeling in the heart, skeletal muscle and spleen), or inflammation in the heart, kidney, liver and lungs. These findings highlight unique and overlapping transcriptomic aging signatures, informing future therapeutic strategies to improve healthspan(definition).

◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:

Read at source →

Provenance

Source
OpenAlex
Canonical
link ↗
Fetched
2026-10-15 MST

Cite this

APA
Ehninger, D., Scifo, E., &amp; Morsy, S. (2026). Dataset: Deciphering the Transcriptomic Signatures of Aging Across Organs in Mice. <em>DZNE Pub</em>. https://openalex.org/W7134022772
Vancouver
Ehninger D, Scifo E, Morsy S. Dataset: Deciphering the Transcriptomic Signatures of Aging Across Organs in Mice. DZNE Pub. 2026.
BibTeX
@unpublished{dan2026Datase, title = {Dataset: Deciphering the Transcriptomic Signatures of Aging Across Organs in Mice}, author = {Dan Ehninger and Enzo Scifo and Sarah Morsy}, journal = {DZNE Pub}, year = {2026}, }

Research neighborhood

References, citing works, and semantically nearest findings. Click a node to open it.

Related findings