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.
- Constraining classifiers in molecular analysis: invariance and robustness.
Lausser L, Szekely R, Klimmek A, Schmid F, Kestler HA
J R Soc Interface 2020, 17(163), 20190612
- The GID ubiquitin ligase complex is a regulator of AMPK activity and organismal lifespan.
Liu H, Ding J, Köhnlein K, Urban N, Ori A, Villavicencio-Lorini P, Walentek P, Klotz LO, Hollemann T, Pfirrmann T
Autophagy 2020 (epub ahead of print)
- Status-dependent aging rates in long-lived, social mole-rats are shaped by HPA stress axis
Sahm A, Hoffmann S, Koch P, Henning Y, Bens M, Groth M, Burda H, Begall S, Ting S, Goetz M, Van Daele P, Staniszewska M, Klose J, Fragoso Costa P, Platzer M, Szafranski** K, Dammann** P
bioRxiv 2020, https://doi.org/10.1101/2020.02. ** co-senior authors
- Quantitation of Reactive Acyl-CoA Species Mediated Protein Acylation by HPLC-MS/MS.
Baldensperger T, Simone DS, Ori A, Glomb MA
Anal Chem 2019, 91(19), 12336-43
- Cohesin-mediated NF-κB signaling limits hematopoietic stem cell self-renewal in aging and inflammation.
Chen Z, Amro EM, Becker F, Hölzer M, Rasa SMM, Njeru SN, Han B, Di Sanzo S, Chen Y, Tang D, Tao S, Haenold R, Groth M, Romanov VS, Kirkpatrick JM, Kraus JM, Kestler HA, Marz M, Ori A, Neri F, Morita** Y, Rudolph** KL
J Exp Med 2019, 216(1), 152-75 ** co-corresponding authors
- Comment on 'Naked mole-rat mortality rates defy Gompertzian laws by not increasing with age'.
Dammann* P, Scherag* A, Zak N, Szafranski K, Holtze S, Begall S, Burda H, Kestler HA, Hildebrandt T, Platzer M
Elife 2019, 8 * corresponding author
- Karyopherin α2-dependent import of E2F1 and TFDP1 maintains protumorigenic stathmin expression in liver cancer.
Drucker E, Holzer K, Pusch S, Winkler J, Calvisi DF, Eiteneuer E, Herpel E, Goeppert B, Roessler S, Ori A, Schirmacher P, Breuhahn K, Singer S
Cell Commun Signal 2019, 17(1), 159
- Late life metformin treatment limits cell survival and shortens lifespan by triggering an aging-associated failure of energy metabolism
Espada* L, Dakhovnik* A, Chaudhari* P, Martirosyan A, Miek L, Poliezhaieva T, Schaub Y, Nair A, Döring N, Rahnis N, Werz O, Koeberle A, Kirkpatrick J, Ori A, Ermolaeva MA
bioRxiv 2019, https://doi.org/10.1101/863357 * equal contribution
- Conservation and divergence of the p53 gene regulatory network between mice and humans.
Oncogene 2019, 38(21), 4095-109
- Profiling of gallbladder carcinoma reveals distinct miRNA profiles and activation of STAT1 by the tumor suppressive miRNA-145-5p.
Goeppert B, Truckenmueller F, Ori A, Fritz V, Albrecht T, Fraas A, Scherer D, Silos RG, Sticht C, Gretz N, Mehrabi A, Bewerunge-Hudler M, Pusch S, Bermejo JL, Dietrich P, Schirmacher P, Renner M, Roessler S
Sci Rep 2019, 9(1), 4796