Diagnostik & Forschungszentrum für Molekulare BioMedizin

Molekulare und digitale Pathologie

Research focus
  • Role of p62 and keratin in liver disease
  • Improving reliability of molecular analyses
  • Machine learning in digital pathology
Most exciting results
  • Discovery of novel mechanisms of tumor heterogeneity
  • Demonstration of ageing of biomolecules in FFPE samples
  • Establishment of high throughput digitalization workflow
  • Coordination of H2020 Project on NGS in medical diagnostics
  • Development of ISO Standards for Molecular Diagnostics
Publications (2018/2019)
  • Dagher, G; Becker, KF; Bonin, S; Foy, C; Gelmini, S; Kubista, M; Kungl, P; Oelmueller, U; Parkes, H; Pinzani, P; Riegman, P; Schröder, U; Stumptner, C; Turano, P; Sjöback, R; Wutte, A; Zatloukal, K
    Pre-analytical processes in medical diagnostics: New regulatory requirements and standards.
    N Biotechnol. 2019; 52:121-125
  • Denk, H; Abuja, PM; Zatloukal, K
    Animal models of NAFLD from the pathologist's point of view.
    Biochim Biophys Acta Mol Basis Dis. 2019; 1865(5):929-942
  • Denk, H; Stumptner, C; Abuja, PM; Zatloukal, K
    Sequestosome 1/p62-related pathways as therapeutic targets in hepatocellular carcinoma.
    Expert Opin Ther Targets. 2019; 23(5):393-406
  • Hämäläinen, I; Törnwall, O; Simell, B; Zatloukal, K; Perola, M; van Ommen, GB
    Role of Academic Biobanks in Public-Private Partnerships in the European Biobanking and BioMolecular Resources Research Infrastructure Community.
    Biopreserv Biobank. 2019; 17(1):46-51
  • Haslacher, H; Bayer, M; Fiegl, H; Gerner, M; Hofer, P; Korb, M; Neururer, S; Perkmann, T; Plattner, K; Sargsyan, K; Steiner, E; Stumptner, C; Walter, I; Wieser, M; Wutte, A; Wagner, O; Zatloukal, K
    Quality management at the national biobanking level - establishing a culture of mutual trust and support: the BBMRI.at example.
    Clin Chem Lab Med. 2019; 57(12): e301-e305-e301-e305.
  • Holzinger, A; Langs, G; Denk, H; Zatloukal, K; Muller, H
    Causability and explainability of artificial intelligence in medicine
    WIRES DATA MIN KNOWL. 2019; 9(4): e1312
  • Loibner, M; Hagauer, S; Schwantzer, G; Berghold, A; Zatloukal, K
    Limiting factors for wearing personal protective equipment (PPE) in a health care environment evaluated in a randomised study.
    PLoS One. 2019; 14(1): e0210775-e0210775.
  • Müller, H; Dagher, G; Loibner, M; Stumptner, C; Kungl, P; Zatloukal, K
    Biobanks for life sciences and personalized medicine: importance of standardization, biosafety, biosecurity, and data management.
    Curr Opin Biotechnol. 2019; 65: 45-51
  • Riegman, PHJ; Becker, KF; Zatloukal, K; Pazzagli, M; Schröder, U; Oelmuller, U
    How standardization of the pre-analytical phase of both research and diagnostic biomaterials can increase reproducibility of biomedical research and diagnostics.
    NEW BIOTECHNOL. 2019; 53(4): 35-40.
  • Safari, Z; Monnoye, M; Abuja, PM; Mariadassou, M; Kashofer, K; Gérard, P; Zatloukal, K
    Steatosis and gut microbiota dysbiosis induced by high-fat diet are reversed by 1-week chow diet administration.
    Nutr Res. 2019; 71: 72-88.
  • Simell, BA; Törnwall, OM; Hämäläinen, I; Wichmann, HE; Anton, G; Brennan, P; Bouvard, L; Slimani, N; Moskal, A; Gunter, M; Zatloukal, K; Minion, JT; Soini, S; Mayrhofer, MT; Murtagh, MJ; van Ommen, GJ; Johansson, M; Perola, M; BBMRI-LPC Consortium (FP7 GA no. 313010) Transnational access to large prospective cohorts in Europe: Current trends and unmet needs.
    NEW BIOTECHNOL. 2019; 49(1): 98-103.
  • Stumptner, C; Pabst, D; Loibner, M; Viertler, C; Zatloukal, K
    The impact of crosslinking and non-crosslinking fixatives on antigen retrieval and immunohistochemistry.
    NEW BIOTECHNOL. 2019; 52(14): 69-83.
  • Stumptner, C; Sargsyan, K; Kungl, P; Zatloukal, K
    Crucial Role of High Quality Biosamples in Biomarker Development. In: Carini, C; Fidock, M; van Gool, A; editors(s). Handbook of Biomarkers and Precision Medicine.
    CRC Press; p. 128-134. 2019(ISBN: 978-1498762588)
  • Wruck, W; Kawala, MA; Graffmann, N; Schultes, B; Mischinger, HJ; Kashofer, K; Korf, U; Zatloukal, K; Adjaye, J
    Combined transcriptome and secretome analyses of NAFLD Patient-derived liver biopsies and corresponding serum samples reveal disease relevant pathways and biomarkers.
    Journal für gastroenterologische und hepatologische Erkrankungen. 2018;
  • Matak, A; Lahiri, P; Ford, E; Pabst, D; Kashofer, K; Stellas, D; Thanos, D; Zatloukal, K
    Stochastic phenotype switching leads to intratumor heterogeneity in human liver cancer.
    Hepatology. 2018; 68(3):933-948
  • O'Sullivan, S; Holzinger, A; Wichmann, D; Saldiva, PHN; Sajid, MI; Zatloukal, K
    Virtual autopsy: Machine Learning and AI provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients.
    Autops Case Rep. 2018; 8(1): e2018003-e2018003.
  • Graffmann, N; Bohndorf, M; Ncube, A; Kawala, MA; Wruck, W; Kashofer, K; Zatloukal, K; Adjaye, J Establishment and characterization of an iPSC line from a 35 years old high grade patient with nonalcoholic fatty liver disease (30-40% steatosis) with homozygous wildtype PNPLA3 genotype. Stem Cell Res. 2018; 31: 113-116.
  • Groelz, D; Viertler, C; Pabst, D; Dettmann, N; Zatloukal, K
    Impact of storage conditions on the quality of nucleic acids in paraffin embedded tissues.
    PLoS One. 2018; 13(9):e0203608-e0203608
  • Nikam, A; Patankar, JV; Somlapura, M; Lahiri, P; Sachdev, V; Kratky, D; Denk, H; Zatloukal, K; Abuja, PM
    The PPARα Agonist Fenofibrate Prevents Formation of Protein Aggregates (Mallory-Denk bodies) in a Murine Model of Steatohepatitis-like Hepatotoxicity.
    Sci Rep. 2018; 8(1): 12964-12964.
  • Holub, P; Kohlmayer, F; Prasser, F; Mayrhofer, MT; Schlünder, I; Martin, GM; Casati, S; Koumakis, L; Wutte, A; Kozera, Ł; Strapagiel, D; Anton, G; Zanetti, G; Sezerman, OU; Mendy, M; Valík, D; Lavitrano, M; Dagher, G; Zatloukal, K; van Ommen, GB; Litton, JE
    Enhancing Reuse of Data and Biological Material in Medical Research: From FAIR to FAIR-Health. Biopreserv Biobank. 2018; 16(2):97-105
Future plans
  • New methods for training of machine learning algorithms
  • K-Project proposal „Digital health and AI in medicine“
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