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The research programmes of ISAS pursue the development of various analytical methods to support cross-scale multi-parameter analysis in health research. The objective of this is to address the complex challenges in relation to analytics for personalised medicine (precision medicine).
The institute's four research programmes interlock with one another owing to the many scientific and technological questions. The synergies resulting from the interdisciplinary collaboration benefits the research projects within a programme. Combining complementary analytical methods plays a central role in the development of new multi-method concepts for health research. In this context the focus is always on the application-specific use of analytics.
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The research programmes focus on: clarifying disease mechanisms and identifying possible treatment approaches – including application reference for subsequent pre-clinical research in both cases; identification and detection of diagnostic, prognostic and therapeutic markers; location- and time-resolved, ideally in-vivo representation of processes, from the molecular to the cellular level; non-invasive and non-destructive analysis methods.
Research Programmes
Publications
Proceedings of the National Academy of Sciences of the United States of America, Vol. 2026, No. 123 (24), 2026
Piao C, Dutkiewicz EP, Kollipara L, Sickmann A, Huang S, Sigrist SJ.
Active zone plasticity couples sleep need to presynaptic hypophosphorylation
https://doi.org/10.1073/pnas.2524065123
Nature Methods, Vol. 2026, 2026
Meharry SL, Borensztejn A, Gaudreault N, Lucas J, Medrash G, Schaefbauer L, Toloudis D, Wallace A, Whitney B, Wilhelm L, Ben-Simon Y, Burel JM, Chen…
Search, organize, aggregate and share image data with BioFile Finder (BFF)
https://doi.org/10.1038/s41592-026-03130-w
Gene Therapy, Vol. 2026, 2026
Georgiou E, Kagiava A, Hentschel A, Sargiannidou I, Papacharalampous R, Stavrou M, Tryfonos C, Richter J, Roos A, Kleopa KA.
A dose-escalation and safety gene therapy study in a model of CMT4C neuropathy
https://doi.org/10.1038/s41434-026-00616-2
Advanced Science, Vol. 13, No. 23, 2026, P. e23198
Sabatier M, Kaur M, Chaufan M, Hormann F, Martins Nascentes Melo L, Palma M, Torpey J, Liang Y, Carmona A, Fraser C, Flores M, Szylo KJ, Yavari M,…
GPX4 Inhibitor Resistance and Metastatic Features in Triple-Negative Breast Cancer
https://doi.org/10.1002/advs.202523198
Naunyn-Schmiedeberg's Archives of Pharmacology, 2026
Dobrev D, Lorenz K.
Ursula Ravens - recipient of the Schmiedeberg Medal: a distinguished career dedicated to cardiovascular pharmacology and cardiac electrophysiology
https://doi.org/10.1007/s00210-026-05300-1
Sensors and Actuators A: Physical, Vol. 400, 2026
Al-Bataineh QM, Ahmad AA, Migdadi AB, Alakhras LA, Brincoveanu O, Mocanu A, Toader G, Telfah AD, Hergenroder R.
Plexcitonics: Plasmon-exciton coupling of ZnO/Au heterostructure film for improving discrete particle detection
https://doi.org/10.1016/j.sna.2026.117523
Molecular & Cellular Proteomics, Vol. 25, No. 4, 2026
Wenger A, Li T, Nguyen C, Celik A, Cuboni E, Dityatev A, Karpova A, Kreutz MR, Ahrends R.
High-Fat Diet and a High Amyloid Load Interact to Induce PKC-α Dependent Synaptic Insulin Resistance
https://doi.org/10.1016/j.mcpro.2026.101537
Water Research, Vol. 292, No. 292, 2025, P. 125272
Hellwig P, Seick I, Meinusch N, Benndorf D, Wiese J, Reichl U, Heyer R.
Molecular community data meets anaerobic digestion Model 1 (ADM1) - a study about the correlation between metagenome-centric metaproteomics data of a two-step full-scale anaerobic digester and its corresponding mathematical model
https://doi.org/10.1016/j.watres.2025.125272