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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)

2023

  • Automated workflow for BioID improves reproducibility and identification of protein-protein interactions
    Cirri E, Knaudt H, Di Fraia D, Pömpner N, Rahnis N, Heinze I, Ori** A, Dau** T
    bioRxiv 2023, 10.1101/2023.09.08.556804 ** co-corresponding authors
  • Author Correction: Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing.
    Cortés-Ciriano I, Lee JJK, Xi R, Jain D, Jung YL, Yang L, Gordenin D, Klimczak LJ, Zhang CZ, Pellman DS, PCAWG Structural Variation Working Group, Park PJ, PCAWG Consortium
    Nat Genet 2023, 55(6), 1076
  • Integrated omics approaches to study protein complexes in neuronal differentiation and brain aging
    Di Fraia D
    Dissertation 2023, Jena, Germany
  • Impaired biogenesis of basic proteins impacts multiple hallmarks of the aging brain
    Di Fraia* D, Marino* A, Ho Lee* J, Kelmer Sacramento E, Baumgart M, Bagnoli S, Tomaz da Silva P, Kumar Sahu A, Siano G, Tiessen M, Terzibasi-Tozzini E, Gagneur J, Frydman** J, Cellerino** A, Ori** A
    bioRxiv 2023, 10.1101/2023.07.20.549210 * equal contribution, ** co-corresponding authors
  • p53 and MYC-regulated squalene epoxidase as Achilles heel in colorectal cancer.
    Fischer M
    Int J Biol Sci 2023, 19(15), 4831
  • Physiological media advance cell culture experiments.
    Fischer M
    Trends Biochem Sci 2023, 48(2), 103-5
  • The landscape of human p53-regulated long non-coding RNAs reveals critical host gene co-regulation.
    Fischer M, Riege K, Hoffmann S
    MOL ONCOL 2023, 17(7), 1263-79
  • Impact of Hypermannosylation on the Structure and Functionality of the ER and the Golgi Complex.
    Franzka P, Schüler SC, Kentache T, Storm R, Bock A, Katona I, Weis J, Buder K, Kaether C, Hübner CA
    Biomedicines 2023, 11(1), 146.doi: 10.3390/biomedicines110
  • Comparative analysis of thyroid hormone systems in rodents with subterranean lifestyle.
    Gerhardt P, Begall S, Frädrich C, Renko K, Hildebrandt TB, Holtze S, Heinrich A, Sahm A, Meci X, Köhrle J, Rijntjes E, Henning Y
    Sci Rep 2023, 13(1), 3122
  • Author Correction: The evolutionary history of 2,658 cancers.
    Gerstung M, Jolly C, Leshchiner I, Dentro SC, Gonzalez S, Rosebrock D, Mitchell TJ, Rubanova Y, Anur P, Yu K, Tarabichi M, Deshwar A, Wintersinger J, Kleinheinz K, Vázquez-García I, Haase K, Jerman L, Sengupta S, Macintyre G, Malikic S, Donmez N, Livitz DG, Cmero M, Demeulemeester J, Schumacher S, Fan Y, Yao X, Lee J, Schlesner M, Boutros PC, Bowtell DD, Zhu H, Getz G, Imielinski M, Beroukhim R, Sahinalp SC, Ji Y, Peifer M, Markowetz F, Mustonen V, Yuan K, Wang W, Morris QD, PCAWG Evolution and Heterogeneity Working Group, Spellman PT, Wedge DC, Van Loo P, PCAWG Consortium
    Nature 2023, 614(7948), E42