Transcriptomic profiling of long- and short-lived mutant mice implicates mitochondrial metabolism in ageing and shows signatures of normal ageing in progeroid mice


Fuentealba M., Fabian D. K., Donertas H. M., Thornton J. M., Partridge L.

MECHANISMS OF AGEING AND DEVELOPMENT, cilt.194, 2021 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 194
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.mad.2021.111437
  • Dergi Adı: MECHANISMS OF AGEING AND DEVELOPMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Abstracts in Social Gerontology, BIOSIS, Business Source Elite, Business Source Premier, CAB Abstracts, EMBASE, MEDLINE, Veterinary Science Database
  • Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

Genetically modified mouse models of ageing are the living proof that lifespan and healthspan can be lengthened or shortened, and provide a powerful context in which to unravel the molecular mechanisms at work. In this study, we analysed and compared gene expression data from 10 long-lived and 8 short-lived mouse models of ageing. Transcriptome-wide correlation analysis revealed that mutations with equivalent effects on lifespan induce more similar transcriptomic changes, especially if they target the same pathway. Using functional enrichment analysis, we identified 58 gene sets with consistent changes in longand short-lived mice, 55 of which were up-regulated in long-lived mice and down-regulated in short-lived mice. Half of these sets represented genes involved in energy and lipid metabolism, among which Ppargc1a, Mif, Aldh5a1 and Idh1 were frequently observed. Based on the gene sets with consistent changes, and also the whole transcriptome, the gene expression changes during normal ageing resembled the transcriptome of short-lived models, suggesting that accelerated ageing models reproduce partially the molecular changes of ageing. Finally, we identified new genetic interventions that may ameliorate ageing, by comparing the transcriptomes of 51 mouse mutants not previously associated with ageing to expression signatures of longand short-lived mice and ageing-related changes.