guest ::
| Home > In process > Dataset: Deciphering the Transcriptomic Signatures of Aging Across Organs in Mice > print |
| Home > In process > Dataset: Deciphering the Transcriptomic Signatures of Aging Across Organs in Mice > print |
| 001 | 285054 | ||
| 005 | 20260209111009.0 | ||
| 037 | _ | _ | |a DZNE-2026-00178 |
| 100 | 1 | _ | |a Ehninger, Dan |0 P:(DE-2719)2289209 |b 0 |u dzne |
| 245 | _ | _ | |a Dataset: Deciphering the Transcriptomic Signatures of Aging Across Organs in Mice |
| 260 | _ | _ | |c 2026 |b Gene Expression Omnibus |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Dataset |b dataset |m dataset |0 PUB:(DE-HGF)32 |s 1770631676_24273 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Chart or Table |0 26 |2 EndNote |
| 336 | 7 | _ | |a Dataset |2 DataCite |
| 336 | 7 | _ | |a DATA_SET |2 ORCID |
| 336 | 7 | _ | |a ResearchData |2 DINI |
| 520 | _ | _ | |a 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 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. |
| 536 | _ | _ | |a 352 - Disease Mechanisms (POF4-352) |0 G:(DE-HGF)POF4-352 |c POF4-352 |f POF IV |x 0 |
| 700 | 1 | _ | |a Scifo, Enzo |0 P:(DE-2719)2812562 |b 1 |u dzne |
| 700 | 1 | _ | |a Morsy, Sarah |0 P:(DE-2719)9002881 |b 2 |u dzne |
| 787 | 0 | _ | |a Morsy, Sarah et.al. |d Oxford [u.a.] : Wiley-Blackwell, 2026 |i RelatedTo |0 DZNE-2026-00049 |r |t Deciphering the Transcriptomic Signatures of Aging Across Organs in Mice |
| 856 | 4 | _ | |u https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE291420 |
| 910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 0 |6 P:(DE-2719)2289209 |
| 910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 1 |6 P:(DE-2719)2812562 |
| 910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 2 |6 P:(DE-2719)9002881 |
| 913 | 1 | _ | |a DE-HGF |b Gesundheit |l Neurodegenerative Diseases |1 G:(DE-HGF)POF4-350 |0 G:(DE-HGF)POF4-352 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Disease Mechanisms |x 0 |
| 920 | 1 | _ | |0 I:(DE-2719)1013005 |k AG Ehninger |l Translational Biogerontology |x 0 |
| 980 | _ | _ | |a dataset |
| 980 | _ | _ | |a EDITORS |
| 980 | _ | _ | |a VDBINPRINT |
| 980 | _ | _ | |a I:(DE-2719)1013005 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|