Author

Karin Pankratz

Medical University of Graz

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 2 Organism:human· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Amin El HeliebiiD· 2 shared Ellen HeitzeriD· 2 shared Katja SallingeriD· 2 shared Lilli BonstingliD· 2 shared Anatol Borrás-CherrieriD· 1 shared Antonia SyrniotiiD· 1 shared Christin-Therese Müller· 1 shared Christina Skofler· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersCancer Biology

Amin El HeliebiORCID

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2 papers

Recent·Most cited

Tissue architecture and immune niches govern ctDNA release in colorectal cancer

Stefan Kühberger, Katja Sallinger, Christin-Therese Müller, Maria Escriva Conde, Sergio Marco Salas, Silvia Andaloro, Christine Beichler, Ricarda Graf, Karin Pankratz, Julia Enzi, Sarah Binder, Martina Scheiber, Lilli Bonstingl, Jasmin Blatterer, Stefan Uranitsch, , Ellen Heitzer

This study identifies tissue architecture and immune niches as key factors influencing ctDNA release in colorectal cancer by integrating spatial transcriptomics and in situ mutation detection.

bioRxiv · Nov 28, 2025 · PreprintCancer Biology

Circulating tumor cell characterization and classification by novel combinatorial dual-color (CoDuCo) in situ hybridization and supervised machine learning

Lilli Bonstingl, Margret Zinnegger, Katja Sallinger, Karin Pankratz, Elisabeth Pritz, Corinna Odar, Christina Skofler, Christine Ulz, Lisa Oberauner‐Wappis, Anatol Borrás-Cherrier, Višnja Somođi, Ellen Heitzer, Thomas Kroneis, Thomas Bauernhofer, Amin El Heliebi

The paper develops a novel CoDuCo in situ hybridization method combined with machine learning to classify and characterize circulating tumor cells in prostate cancer, identifying resistance mechanisms and therapeutic targets.

bioRxiv · May 8, 2024 · PreprintMolecular Biology