Author

T. G. Krieger

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· 3 Cell Biology· 1

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Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Approach:experimental assay· 3 Organism:human· 3 Research Focus:drug response / drug discovery· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

C. Conrad· 4 shared R. Eils· 4 shared A. Giri· 1 shared A. Niesnerova· 1 shared A. Sudy· 1 shared B. Eismann· 1 shared B. Konukiewitz· 1 shared C. Herrmann· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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4 shared papersCancer Biology

C. Conrad

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Author profile →

4 papers

Recent·Most cited

Transcriptionally defined morphological subtypes of pancreatic ductal adenocarcinoma

T. G. Krieger, A. Sudy, F. Schicktanz, L. Tosti, J. Liebig, B. Konukiewitz, M. Rouault, A. Niesnerova, X. Qian, W. Weichert, R. Eils, K. Steiger, C. Conrad

The paper identifies five transcriptional subtypes of PDAC cells with distinct morphological patterns and confirms their prognostic significance using bulk RNA-sequencing datasets.

bioRxiv · Sep 23, 2022 · PreprintCancer Biology

Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy

T. G. Krieger, S. LeBlanc-Soto, J. Jabs, F. W. Ten, N. Ishaque, K. Jechow, O. Debnath, C.-S. Leonhardt, A. Giri, R. Eils, O. Strobel, C. Conrad

The paper uses single-cell RNA sequencing to analyze PDAC organoids and identifies conserved cell states and a differentiation hierarchy linked to tumor subtypes.

bioRxiv · Aug 23, 2020Cancer Biology

Automated screening by 3D light-sheet microscopy with high spatial and temporal resolution reveals mitotic phenotypes

B. Eismann, T. G. Krieger, J. Beneke, R. Bulkescher, L. Adam, H. Erfle, C. Herrmann, R. Eils, C. Conrad

The paper presents a workflow using 3D light-sheet microscopy and automated image processing to screen mitotic phenotypes in 3D cell cultures with high throughput.

bioRxiv · Jan 20, 2020Cell Biology

Modeling glioblastoma invasion using human brain organoids and single-cell transcriptomics

T. G. Krieger, S. M. Tirier, J. Park, T. Eisemann, H. Peterziel, P. Angel, R. Eils, C. Conrad

This study uses human brain organoids and single-cell transcriptomics to model GBM invasion, identifying transcriptional changes and potential therapeutic targets.

bioRxiv · May 7, 2019Cancer Biology