Author

K. Niehaus

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 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Drake· 1 shared A. Kannan· 1 shared A. Lopez-Rodriguez· 1 shared A. Sharma· 1 shared A. Tzou· 1 shared B. Rice· 1 shared B. White· 1 shared C. Tang· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

A. Drake

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Inducible mucosa-like differentiation of head and neck cancer cells drives the epigenetically determined loss of cell malignancy

F. Oppel, S. Gendreizig, L. Martinez-Ruiz, J. Florido, A. Lopez-Rodriguez, H. Pabla, L. Loganathan, L. Hose, P. Kuehnel, P. Schmidt, M. Schuermann, J. M. Neumann, F. Viyof Ful, L. U. Scholtz, D. Ligum, , H. Sudhoff

This study shows that HNSCC cells can differentiate into non-malignant cells, losing their tumor-initiating potential and expressing KRT17, suggesting differentiation as a therapeutic target.

bioRxiv · Jun 30, 2023 · PreprintCancer Biology

The small GTPase Rab11F represents a molecular marker within the secretory pathway required for the nitrogen-fixing symbiosis

P. Nounurai, H. Densow, H. Bednarz, K. Niehaus

This study identifies Rab11F as a marker of a specialized secretory pathway in legume root nodules that supports symbiosis with Rhizobium bacteria.

bioRxiv · Jun 5, 2019 · PreprintPlant Biology

Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA

N. Wan, D. Weinberg, T.-y. Liu, K. Niehaus, D. Delubac, A. Kannan, B. White, E. Ariazi, M. Bailey, M. Bertin, N. Boley, D. Bowen, J. Cregg, A. Drake, R. Ennis, , I. S. Haque

This paper uses machine learning on whole-genome sequencing of plasma cell-free DNA to detect early-stage colorectal cancer with high sensitivity and specificity.

bioRxiv · Nov 24, 2018Cancer Biology