Project

Aging omics

Code
bof/baf/4y/2024/01/711
Duration
01 January 2024 → 31 December 2025
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Computational transcriptomics and epigenomics
  • Medical and health sciences
    • Biostatistics
  • Engineering and technology
    • Bio-informatics
Keywords
epigenetics aging proteomics allele-specific gene expression omics
 
Project description

The BOF basic funding will mainly be used for the temporary financing of new/finalizing PhD students and non-statutory supporting staff, primarily within the broader subject of "the omics of aging." Three related research lines are being developed for this purpose: allele-specific gene expression, epigenetic clocks, and protein clocks. Epigenetic clocks and protein clocks are trained on omics datasets using machine learning to measure biological age. The basic idea is that biological age is a better indicator of aging (and risk of death) than chronological age, and thus potentially useful in preventing aging-related diseases. In addition, we attempt to gain insight into the underlying mechanisms of aging, for example, by examining whether the disruption of interesting genes (e.g., inferred from the clocks) is biallelic ("faulty reprogramming") or monoallelic ("random errors") in relation to aging.