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Home>Research>Subarea 3: Genetics and Epigenetics of Aging
Research focus of Subarea 3.

Subarea 3: Genetics and Epigenetics of Aging

The focus of Subarea 3 is on genetic and epigenetic determinants of life- and health span as well as aging in fish, rodents and humans. This line of research builds on the expertise of the institute in comparative and functional genomics.

The research is defined by five focus areas:

  • Comparative genomics in short- and long-lived models of aging,
  • Genomic engineering in N. furzeri,
  • Epigenetics of aging,
  • Non-coding RNAs in aging, and
  • Comparative transcriptomics of aging.

Research focus of Subarea 3.

To uncover causative factors for aging, comparative genomics in short- and long-lived model systems are applied. Functional genomics is used to identify novel pathways contribute to aging of an organism and to validate the functional relevance of genetic and epigenetic changes that occur during aging. Furthermore, genetic risk factors for aging-related diseases are identified and functionally tested. The future development of the Subarea aims to integrate changes in host-microbiota interactions during aging, and how these influence clonal mutation and epigenetic alterations through metabolites and other signals.

Publications

(since 2016)

2021

  • PoSeiDon: a Nextflow pipeline for the detection of evolutionary recombination events and positive selection.
    Hölzer M, Marz M
    Bioinformatics 2021, 37(7), 1018-20
  • Low-Input Whole-Genome Bisulfite Sequencing.
    Krepelova A, Neri F
    Methods Mol Biol 2021, 2351, 353-68
  • Generating a transparent vertebrate model for in vivo applications in aging research
    Krug J
    Dissertation 2021, Jena, Germany
  • Systems Analysis Reveals Ageing-Related Perturbations in Retinoids and Sex Hormones in Alzheimer's and Parkinson's Diseases.
    Lam S, Hartmann N, Benfeitas R, Zhang C, Arif M, Turkez H, Uhlén M, Englert C, Knight R, Mardinoglu A
    Biomedicines 2021, 9(10)
  • Characterization of an in vitro 3D intestinal organoid model by using massive RNAseq-based transcriptome profiling.
    Lu J, Krepelova A, Rasa SMM, Annunziata F, Husak O, Adam L, Nunna S, Neri F
    Sci Rep 2021, 11(1), 16668
  • Mechanistic insights into p53-regulated cytotoxicity of combined entinostat and irinotecan against colorectal cancer cells.
    Marx C, Sonnemann J, Beyer M, Maddocks ODK, Lilla S, Hauzenberger I, Piée-Staffa A, Siniuk K, Nunna S, Marx-Blümel L, Westermann M, Wagner T, Meyer FB, Thierbach R, Mullins CS, Kdimati S, Linnebacher M, Neri F, Heinzel T, Wang ZQ, Krämer OH
    MOL ONCOL 2021, 15(12), 3404-29
  • A Novel Splice Variant of the Inhibitor of Growth 3 Lacks the Plant Homeodomain and Regulates Epithelial-Mesenchymal Transition in Prostate Cancer Cells.
    Melekhova A, Leeder M, Pungsrinont T, Schmäche T, Kallenbach J, Ehsani M, Mirzakhani K, Rasa SMM, Neri F, Baniahmad A
    Biomolecules 2021, 11(8)
  • VIDHOP, viral host prediction with Deep Learning.
    Mock F, Viehweger A, Barth E, Marz M
    Bioinformatics 2021, 37(3), 318-25
  • Rates of primary production in groundwater rival those in oligotrophic marine systems
    Overholt WA, Trumbore S, Xu X, Bornemann TLV, Probst AJ, Krüger M, Herrmann M, Thamdrup B, Bristow L, Taubert M, Schwab VF, Hölzer M, Marz M, Küsel K
    bioRxiv 2021, https://doi.org/10.1101/2021.10.
  • Characterization of the transcriptome, the epigenome, and the microbiome during aging : dietary restriction ameliorates inflammaging
    Rasa SMM
    Dissertation 2021, Jena, Germany