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Home>Research>Subarea 5: Computational and Systems Biology of Aging
Research focus of Subarea 5.

Subarea 5: Computational and Systems Biology of Aging

Subarea 5 focuses on the development of methods to analyse and understand complex biological systems. This work includes the design of computer algorithms and biostatistical approaches as well as the development of novel Omic strategies (i.e. genomics/epigenomics, transcriptomics, proteomics, and metabolomics) to study aging and aging-related diseases. According to the FLI, due to the Subarea's expertise in computational data analysis, it is deeply interconnected with all other Subareas. The Subarea hosts two critical core facilities (Life Science Computing, Proteomics) and provides consulting services in statistics. Furthermore, it organizes courses on data analysis and statistics.

The research is defined by five focus areas:

  • Mapping extrinsic and intrinsic factors influencing stem cells during aging,
  • Integration of spatiotemporal proteomics and transcriptomics data,
  • Comprehensive evaluation of qualitative and quantitative expression changes,
  • Identification and analysis of epigenomic alterations during aging and age-related diseases, and
  • Network analysis of genomic, transcriptomic and epigenomic alterations during aging.

Research focus of Subarea 5.

The biology of aging can be viewed as a multilayered array of networks at the level of organs, cells, molecules, and genes. The FLI wants to meet this complexity by establishing the new Subarea on “Computational and Systems Biology of Aging”. The overall goal is to interconnect research at different scales, taking place in Subareas 1-4 of the Institute’s research program. The new group on Systems Biology will integrate data from networks at multiple scales and will thus point to mechanisms and interactions that would not be seen in unilayer approaches.

Publications

(since 2016)

2022

  • Single-cell atlas of the aging mouse colon.
    Širvinskas D, Omrani O, Lu J, Rasa M, Krepelova A, Adam L, Kaeppel S, Sommer F, Neri F
    iScience 2022, 25(5), 104202
  • Identification of dynamic driver sets controlling phenotypical landscapes.
    Werle SD, Ikonomi N, Schwab JD, Kraus JM, Weidner FM, Rudolph KL, Pfister AS, Schuler R, Kühl M, Kestler HA
    Comput Struct Biotechnol J 2022, 20, 1603-17

2021

  • Life expectancy, family constellation and stress in giant mole-rats ( Fukomys mechowii).
    Begall S, Nappe R, Hohrenk L, Schmidt TC, Burda H, Sahm A, Szafranski K, Dammann P, Henning Y
    Philos Trans R Soc Lond B Biol Sci 2021, 376(1823), 20200207
  • Transient telomere dysfunction induces chromosomal instability and promotes carcinogenesis.
    Begus-Nahrmann Y, Hartmann D, Kraus J, Eshraghi P, Scheffold A, Grieb M, Rasche V, Schirmacher P, Lee HW, Kestler HA, Lechel A, Rudolph KL
    J Clin Invest 2021, 131(1) Corrigendum for J Clin Invest. 2012;122(6):2283–2288
  • Favorable outcome of NUTM1-rearranged infant and pediatric B cell precursor acute lymphoblastic leukemia in a collaborative international study.
    Boer JM, Valsecchi MG, Hormann FM, Antić Ž, Zaliova M, Schwab C, Cazzaniga G, Arfeuille C, Cavé H, Attarbaschi A, Strehl S, Escherich G, Imamura T, Ohki K, Grüber TA, Sutton R, Pastorczak A, Lammens T, Lambert F, Li CK, Carrillo de Santa Pau E, Hoffmann S, Möricke A, Harrison CJ, Den Boer ML, De Lorenzo P, Stam RW, Bergmann AK, Pieters R
    Leukemia 2021, 35(10), 2978-82
  • Surprisingly long survival of premature conclusions about naked mole-rat biology.
    Braude S, Holtze S, Begall S, Brenmoehl J, Burda H, Dammann P, Del Marmol D, Gorshkova E, Henning Y, Hoeflich A, Höhn A, Jung T, Hamo D, Sahm A, Shebzukhov Y, Šumbera R, Miwa S, Vyssokikh MY, von Zglinicki T, Averina O, Hildebrandt TB
    Biol Rev Camb Philos Soc 2021, 96(2), 376-93
  • Epigenetic Modifications Associated with Maternal Anxiety during Pregnancy and Children's Behavioral Measures.
    Cao-Lei L, van den Heuvel MI, Huse K, Platzer M, Elgbeili G, Braeken MAKA, Otte RA, Witte OW, Schwab M, Van den Bergh BRH
    Cells 2021, 10(9)
  • Transcription factor RFX7 governs a tumor suppressor network in response to p53 and stress.
    Coronel L, Riege K, Schwab K, Förste S, Häckes D, Semerau L, Bernhart SH, Siebert R, Hoffmann** S, Fischer** M
    Nucleic Acids Res 2021, 49(13), 7437-56 ** co-corresponding authors
  • Iron Oxide Nanoparticles Carrying 5-Fluorouracil in Combination with Magnetic Hyperthermia Induce Thrombogenic Collagen Fibers, Cellular Stress, and Immune Responses in Heterotopic Human Colon Cancer in Mice.
    Dabaghi M, Rasa SMM, Cirri E, Ori A, Neri F, Quaas R, Hilger I
    Pharmaceutics 2021, 13(10)
  • Tnfaip2/exoc3-driven lipid metabolism is essential for stem cell differentiation and organ homeostasis.
    Deb S, Felix DA, Koch P, Deb MK, Szafranski K, Buder K, Sannai M, Groth M, Kirkpatrick J, Pietsch S, Gollowitzer A, Groß A, Riemenschneider P, Koeberle A, González-Estévez** C, Rudolph** KL
    EMBO Rep 2021, 22(1), e49328 ** co-corresponding authors