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)

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
  • 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 (epub ahead of print)
  • 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
  • Mice Are Not Humans: The Case of p53.
    Fischer M
    Trends Cancer 2021, 7(1), 12-4
  • GMPPA defects cause a neuromuscular disorder with α-dystroglycan hyperglycosylation.
    Franzka P, Henze H, Jung MJ, Schüler SC, Mittag S, Biskup K, Liebmann L, Kentache T, Morales J, Martínez B, Katona I, Herrmann T, Huebner AK, Hennings JC, Groth S, Gresing LJ, Horstkorte R, Marquardt T, Weis J, Kaether C, Mutchinick OM, Ori A, Huber O, Blanchard V, von Maltzahn J, Hübner CA
    J Clin Invest 2021 (epub ahead of print)
  • The N-terminal BRCT domain determines MCPH1 function in brain development and fertility.
    Liu* X, Schneble-Löhnert* N, Kristofova M, Qing X, Labisch J, Hofmann S, Ehrenberg S, Sannai M, Jörß T, Ori A, Godmann M, Wang ZQ
    Cell Death Dis 2021, 12(2), 143 * equal contribution
  • Increased longevity due to sexual activity in mole-rats is associated with transcriptional changes in HPA stress axis.
    Sahm* A, Platzer M, Koch P, Henning Y, Bens M, Groth M, Burda H, Begall S, Ting S, Goetz M, Van Daele P, Staniszewska M, Klose J, Costa PF, Hoffmann** S, Szafranski** K, Dammann** P
    Elife 2021 (epub ahead of print) ** co-senior authors, * corresponding author
  • HAT cofactor TRRAP modulates microtubule dynamics via SP1 signaling to prevent neurodegeneration.
    Tapias* A, Lázaro* D, Yin* BK, Rasa SMM, Krepelova A, Kelmer Sacramento E, Grigaravicius P, Koch P, Kirkpatrick J, Ori A, Neri F, Wang ZQ
    Elife 2021 (epub ahead of print) * equal contribution
  • Loss of hepatic Mboat7 leads to liver fibrosis.
    Thangapandi VR, Knittelfelder O, Brosch M, Patsenker E, Vvedenskaya O, Buch S, Hinz S, Hendricks A, Nati M, Herrmann A, Rekhade DR, Berg T, Matz-Soja M, Huse K, Klipp E, Pauling JK, Wodke JA, Miranda Ackerman J, Bonin Mv, Aigner E, Datz C, von Schönfels W, Nehring S, Zeissig S, Röcken C, Dahl A, Chavakis T, Stickel F, Shevchenko A, Schafmayer C, Hampe J, Subramanian P
    Gut 2021 (epub ahead of print)

2020

  • Spatially resolved analysis of FFPE tissue proteomes by quantitative mass spectrometry.
    Buczak K, Kirkpatrick JM, Truckenmueller F, Santinha D, Ferreira L, Roessler S, Singer S, Beck** M, Ori** A
    Nat Protoc 2020, 15(9), 2956-79 ** co-corresponding authors