Author

K. Unger

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 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Organism:human· 2 Organism:Arabidopsis· 1 Assay:DNA methylation· 1 Research Focus:metabolism & bioenergetics· 1

Frequent Co-Authors

A. D. Mays· 1 shared A. Hielscher· 1 shared A. Iliuk· 1 shared A. J. Kiliti· 1 shared A. K. Cheema· 1 shared A. P. McDeed· 1 shared A. T. Riegel· 1 shared A. Wellstein· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperCancer Biology

A. D. Mays

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Beyond defense: Glucosinolate structural diversity shapes recruitment of a metabolic network of leaf-associated bacteria

K. Unger, S. A. K. Raza, T. Mayer, M. Reichelt, J. Stuttmann, A. Hielscher, U. Wittstock, J. Gershenzon, M. T. Agler

The paper shows that structural variations in glucosinolates affect bacterial community recruitment in Arabidopsis thaliana, with allyl-GLS enriching Burkholderiales bacteria.

bioRxiv · Dec 4, 2023Microbiology

Cell-free, methylated DNA in blood samples reveals tissue-specific, cellular damage from radiation treatment

M. E. Barefoot, N. Loyfer, A. J. Kiliti, M. O. Schmidt, S. Shabi-Porat, S. Jain, S. M. Roth, A. P. McDeed, N. Shahrour, E. Ballew, Y.-T. Lin, H.-H. Li, A. D. Mays, S. Rudra, A. T. Riegel, , A. Wellstein

This study uses cell-free methylated DNA in blood to detect tissue-specific damage from radiation treatment in mice and cancer patients.

bioRxiv · Apr 12, 2022Cancer Biology

An optimized method for the isolation of urinary extracellular vesicles for molecular phenotyping: detection of biomarkers for radiation exposure

C. P. Hinzman, M. Jayatilake, S. Bansal, B. L. Fish, Y. Li, Y. Zhang, S. Bansal, M. Girgis, A. Iliuk, X. Xu, J. A. Fernandez, J. H. Griffin, E. A. Ballew, K. Unger, M. Boerma, , A. K. Cheema

This study optimizes urinary extracellular vesicle isolation methods and detects radiation-induced metabolomic changes using mass spectrometry.

bioRxiv · Jan 28, 2022Cancer Biology