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Center for Data and Simulation Science

Prof. Dr. Andreas Beyer and his group analyze the aging process in the human body and in model species by simultaneously observing the activities of all the genes in an organism. The working group develops algorithms for filtering large amounts of data for relevant information, such as interactions between genes and proteins. Integrating heterogeneous data sets is of particular interest, as this can open approaches to new questions that cannot be answered by evaluating individual data sets in isolation.

Network of genomic regions affecting protein levels in yeast. Each triangle is a genomic region affecting the protein level(s) of the respective protein(s). Proteins that are linked are binding to each other. This figure shows the complexity of genetic variation between individuals and to what extent protein levels are affected by those.

Selected publications

  1. Tain LS, Sehlke R, Jain C, Chokkalingam M, Nagarajuna N, Essers P, Rassner M, Grönke S, Froelich J, Dieterich C, Mann M, Alic N, Beyer A#, Partridge L#. (2017) A proteomic atlas of insulin signaling reveals tissue-specific mechanisms of longevity-assurance. Mol. Syst. Biol. 13(9):939. doi: 10.15252/msb.20177663.
  2. Hahn O*, Grönke S*, Stubbs TM, Ficz G, Hendrich O, Krueger F, Andrews S, Zhang Q, Wakelam MJ, Beyer A#, Reik W#, Partridge L# (2017) Dietary restriction protects from age-associated DNA methylation and induces epigenetic reprogramming of lipid metabolism. Genome Biol. 18:56.
  3. Liu Y*, Beyer A*#, Aebersold R#. (2016) On the dependency of cellular protein levels on mRNA abundance. (Review) Cell 165(3):535-50.
  4. Seifert M, Friedrich B, Beyer A. (2016) Importance of rare gene copy number alterations for personalized tumor characterization and survival analysis. Genome Biol. 3;17(1):204.
  5. Gatto L, Hansen KD, Hoopman MR, Hermjakob H, Kohlbacher O, Beyer A. (2016) Testing and validation of computational methods for mass spectrometry. J Prot. Res. DOI: 10.1021/acs.jproteome.5b00852.
  6. Stephan J, Stegle O#, Beyer A#. (2015) A Random Forest approach to capture genetic effects in the presence of population structure. Nat. Commun., 6:7432.
  7. Valenzano D, […], Beyer A, Johnson EA, Brunet A. (2015) The African turquoise killifish genome provides insights into evolution and genetic architecture of lifespan. Cell 163(6):1539-54.
  8. Clément-Ziza M, Marsellach FX, Codlin S, Papadakis MA, Reinhardt S, Rodríguez-López M, Martin S, Marguerat S, Schmidt A, Lee E Workman CT, Bähler J#, Beyer A#. (2014) Natural genetic variation impacts expression levels of coding, non-coding, and antisense transcripts in fission yeast. Mol Syst Biol. 10:764.
  9. Picotti P*, Clement-Ziza M*, Lam H*, Campbell DS, Schmidt A, Deutsch EW, Röst H, Sun Z, Rinner O, Reiter L, Shen Q,. Michaelson JJ, Frei A, Alberti S, Kusebauch U, Wollscheid B, Moritz R, Beyer A#, Aebersold R# (2013) A complete mass spectrometric map for the analysis of the yeast proteome and its application to quantitative trait analysis. Nature 494(7436):266-70.
  10. Sikora-Wohlfeld W, Ackermann M, Elefsinioti EG, Singaravelu K, Beyer A. (2013) Assessing computational methods for transcription factor target gene identification based on ChIP-seq data. PLoS Comp. Biol. 9(11): e1003342.