Hanna Marie Schilbert

    Current research focus

    • comparative genomics
    • structural variants
    • variant impact prediction / variant annotation
    • phylogenetic analyses
    • identification of economically and nutritional relevant loci
    • nutrigenetics/genomics
    • flavonoid biosynthesis
    • reduction of antinutrients
    • analysis of seed quality parameters
    • RNA-Seq analysis
    • ...


    • Python Programming in Genome Research (for Beginners)


    Projects for students: Please send me an email if you are interested in a project involving genomics/transcriptomics/bioinformatics/flavonoid biosynthesis/reduction of antinutrients/analysis of seed quality in Brassica napus.


    • Schilbert, H. M.*, Pucker B.*, Ries D., Viehöver P., Micic Z., Dreyer F., Beckmann K., Wittkop B., Weisshaar B., Holtgräwe D. (2022). Mapping-by-Sequencing Reveals Genomic Regions Associated with Seed Quality Parameters in Brassica napus. Genes 2022. doi:10.3390/genes13071131
      full text(peer-reviewed) PDF bioRxiv preprint PUB github *shared first authorship
    • Pellegrinelli V., Rodriguez-Cuenca S., Rouault C., Figueroa-Juarez E., Schilbert H., Virtue S., Moreno-Navarrete J. M., Bidault G., Vazquez Borrego M. C., Dias A. R., Pucker B., Dale M., Campbell M., Carobbio S., Lin Y. H., Vacca M., Aron-Wisnewsky J., Mora S., Masiero M. M., Emmanouilidou A., Mukhopadhyay S., Dougan G., den Hoed M., Loos R. J. F., Fernandez-Real J. M., Chiarugi D., Clement K. and Vidal-Puig A. (2022). Dysregulation of macrophage PEPD in obesity determines adipose tissue fibro-inflammation and insulin resistance. Nature metabolism 2022. doi:10.1038/s42255-022-00561-5.
      link to publication(peer-reviewed) PDF Research Square preprint PUB
    • Schilbert, H. M., Glover, B. J. (2022). Analysis of flavonol regulator evolution in the Brassicaceae reveals MYB12, MYB111 and MYB21 duplications associated with MYB11 and MYB24 gene loss. bioRxiv 2022. doi:10.1101/2022.04.06.487363
      bioRxiv preprint PUB
    • Schilbert, H. M., Schöne M., Baier T., Busche M., Viehöver P., Weisshaar B., Holtgräwe D. (2021). Characterization of the Brassica napus flavonol synthase gene family reveals bifunctional flavonol synthases. Frontiers in Plant Science 2021. doi:10.1101/2021.06.30.450533
      full text(peer-reviewed) PDF bioRxiv preprint PUB github
    • Lauxmann M. A., Vazquez D. S., Schilbert, H. M., Neubauer P. R., Lammers K. M., Dodero V. I. (2021). From celiac disease to coccidia infection and vice-versa: The polyQ peptide CXCR3-interaction axis. BioEssays 2021. doi:10.1002/bies.202100101
      full text(peer-reviewed) PDF PUB
    • Vazquez D. S.*, Schilbert H. M.*, Dodero V. I. (2021). Molecular and Structural Parallels between Gluten Pathogenic Peptides and Bacterial-Derived Proteins by Bioinformatics Analysis. International Journal of Molecular Sciences 2021, 22(17), 9278. doi:10.3390/ijms22179278
      full text(peer-reviewed) PDF PUB *shared first authorship
    • Schilbert H. M., Kleinbölting N, Weisshaar B, Pucker B. (2021). Arabidopsis thaliana methylation pattern analysis based on ONT sequence reads. Bielefeld University.
      full text PUB
    • Pucker B., Reiher F. and Schilbert, H. M. (2020). Automatic identification of players in the flavonoid biosynthesis with application on the biomedicinal plant Croton tiglium. Plants 2020, 9, 1103. doi:10.3390/plants9091103.
      full text(peer-reviewed) PDF bioRxiv preprint PUB github
    • Schilbert H. M., Rempel A. and Pucker B. (2020). Comparison of read mapping and variant calling tools for the analysis of plant NGS data. Plants. doi:10.3390/plants9040439.
      full text(peer-reviewed) bioRxiv preprint PDF PUB data
    • Pucker B. & Schilbert H. (2019). Genomics and Transcriptomics Advance in Plant Sciences. Molecular Approaches in Plant Biology and Environmental Challenges. Springer. 2019. ISBN 978-981-15-0690-1. doi:10.1007/978-981-15-0690-1
      springer(peer-reviewed book chapter) PUB
    • Schilbert H. M., Pellegrinelli V., Rodriguez-Cuenca S., Vidal-Puig A. & Pucker B. (2018). Harnessing natural diversity to identify key amino acid residues in prolidase. bioRxiv 423475; doi:10.1101/423475
      full text PUB
    • Pucker B.,Schilbert, H. M. , Schumacher S. F. (2019). Integrating Molecular Biology and Bioinformatics Education. Journal of Integrative Bioinformatics. doi:10.1515/jib-2019-0005.
      full text(peer-reviewed) PDF PubMed preprint preprint PUB
      Applied Genome Research (github) Molecular Methods in Genome Research (github)