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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
Redox Biology, Vol. 86, 2025
Shen TK, Vignane T, Gilglioni EH, Traini L, Kalaitsidou E, Conan P, Li A, St-Pierre-Wijckmans W, Herranz JM, Elvira B, Sanchez LO, Trépo E, Deelman…
Metabolic dysfunction-associated steatohepatitis reduces hepatic H2S-producing enzymes altering persulfidome composition
https://doi.org/10.1016/j.redox.2025.103809
Metabolomics, Vol. 21, No. 5, 2025
Alwahsh M, Alejel R, Hamadneh L, Aleidi SM, Marchan R, Hasan A, Jasim S, Saqallah FG, Al-Kouz S, Hussein B, Alhusban AA, Al-Hiari Y, Al-Qirim T,…
Identification of potential biomarkers of triton WR-1339 induced hyperlipidemia: NMR-based plasma metabolomics approach and gene expression analysis
https://doi.org/10.1007/s11306-025-02318-z
The Journal of Applied Laboratory Medicine, Vol. 10, No. 5, 2025, P. 1226-1240
Walke D, Steinbach D, Kaiser T, Schönhuth A, Saake G, Broneske D, Heyer R.
SBC-SHAP: Increasing the Accessibility and Interpretability of Machine Learning Algorithms for Sepsis Prediction
https://doi.org/10.1093/jalm/jfaf091
Analytical Chemistry, Vol. 97, No. 32, 2025, P. 17512-17520
Chen S, Sanner MF, Gracias Leone D, Loroch S, Forli S, Verhelst SHL.
Sulfoxide-diazirine (SODA) as a Cleavable Photoaffinity Group To Enable the Identification of Photolabeled Modification Sites via LC-MS³
https://doi.org/10.1021/acs.analchem.5c02409
Proteomics, Vol. 2025, No. 16, 2025, P. 28-39
Li T, Wenger A, Coman C, Borutzki C, Kreutz MR, Ahrends R.
SIMPLEX Enriches Hydrophobic and Lipidated Proteins in Membrane Proteomics Experiments
https://doi.org/10.1002/pmic.70016
G3-Genes Genomes Genetics, Vol. 15, No. 8, 2025
Valenzuela-Villatoro M, Gomez-Orte E, Guerrero-Gomez D, Cheng Q, Zheleva A, Mora-Lorca JA, Petrovic D, O'Neil NJ, Ceron J, Hatakeyama A, Onami S,…
The transsulfuration pathway suppresses the embryonic lethal phenotype of glutathione reductase mutants in Caenorhabditis elegans
https://doi.org/10.1093/g3journal/jkaf102
THIRTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, Vol. 39, No. 10, 2025, P. 10284-10292
Zhang Y, Fang Z, Wang Y, Zhang L, Guan X, Zhang Y.
Category Prompt Mamba Network for Nuclei Segmentation and Classification
https://doi.org/10.1609/aaai.v39i10.3311
Brain, Vol. 148, No. 8, 2025, P. 2869-2882
Malaichamy S, Idoux R, Polavarapu K, Sikic K, Holla E, Thompson R, Spendiff S, Schaenzer A, Kuesters B, Freeman E, Hentschel A, O'Neil D,…
Dominant rhabdomyolysis linked to a recurrent ATP2A2 variant reducing SERCA2 function in muscle
https://doi.org/10.1093/brain/awaf067