Author

A. Krogsdam

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· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:metabolism & bioenergetics· 1 Assay:metabolomics· 1

Frequent Co-Authors

Z. Trajanoski· 3 shared A. Kirchmair· 2 shared A. Noureen· 2 shared G. Fotakis· 2 shared G. Lamberti· 2 shared N. Nemati· 2 shared S. Sopper· 2 shared A. M. Sandbichler· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersCancer Biology

Z. Trajanoski

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Comparative Analysis of Whole Transcriptome Single-Cell Sequencing Technologies in Complex Tissues

S. Salcher, I. Heidegger, G. Untergasser, G. Fotakis, A. Scheiber, A. Martowicz, A. Noureen, A. Krogsdam, C. Schatz, G. Schafer, Z. Trajanoski, D. Wolf, S. Sopper, A. Pircher

This study compares two scRNA-seq platforms, finding differences in cell population abundance and mRNA quantification, guiding platform selection and data interpretation.

bioRxiv · Jul 3, 2023Cancer Biology

13C tracer analysis reveals the landscape of metabolic checkpoints in human CD8+ T cell differentiation

A. Kirchmair, N. Nemati, G. Lamberti, M. P. Trefny, A. Krogsdam, A. Siller, P. Hörtnagl, P. Schumacher, S. Sopper, A. M. Sandbichler, A. Zippelius, B. Ghesquiere, Z. Trajanoski

This study uses 13C metabolomics and transcriptomics to analyze metabolic changes in CD8+ T cells during differentiation, identifying key metabolic checkpoints and their role in exhaustion.

bioRxiv · May 18, 2023 · PreprintImmunology

Functional and spatial proteomics profiling reveals intra- and intercellular signaling crosstalk in colorectal cancer

C. Plattner, G. Lamberti, P. Blattmann, A. Kirchmair, D. Rieder, Z. Loncova, G. Sturm, S. Scheidl, M. E. Ijsselsteijn, G. Fotakis, A. Noureen, R. Lisandrelli, N. Boeck, N. Nemati, A. Krogsdam, , Z. Trajanoski

The paper uses patient-derived organoids and phosphoproteomics to study signaling crosstalk in colorectal cancer and identify off-target effects of kinase inhibitors.

bioRxiv · Sep 16, 2022Cancer Biology