Author

E. D. Jensen

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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Bioengineering· 2 Cell Biology· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:yeast· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:proteomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

M. K. Jensen· 3 shared B. Lengger· 2 shared T. Jakociunas· 2 shared A. J. Orr· 1 shared B. J. Lehka· 1 shared C. Noerskov· 1 shared D. Durmusoglu· 1 shared D. J. Greig· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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3 shared papersBioengineering

M. K. Jensen

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Engineered cell differentiation and sexual reproduction in probiotic and mating yeasts

E. D. Jensen, M. Deichmann, X. Ma, R. U. Vilandt, G. Schiesaro, M. B. Rojek, B. Lengger, L. Eliasson, J. M. Vento, D. Durmusoglu, S. P. Hovmand, I. Al'Abri, J. Zhang, N. C. Crook, M. K. Jensen

The paper demonstrates mating between haploid cells with human GPCRs and enables hGPCR signaling in probiotic yeast using transcriptome analysis and ligand-free screening.

bioRxiv · Jan 11, 2022Cell Biology

Serotonin GPCR-based biosensing modalities in yeast

B. Lengger, E. E. Hoch-Schneider, C. Noerskov, T. Jakociunas, E. D. Jensen, M. K. Jensen

The paper assesses serotonin GPCR signaling in yeast by characterizing reporter gene expression of 12 human serotonin GPCRs with 12 G proteins, finding EC50 changes and biosensing capabilities.

bioRxiv · Jul 12, 2021 · PreprintBioengineering

A synthetic RNA-mediated evolution system in yeast

E. D. Jensen, M. Laloux, B. J. Lehka, L. E. Pedersen, T. Jakociunas, M. K. Jensen, J. D. Keasling

This paper introduces CRAIDE, a method using RNA donors and CRISPR to evolve yeast genomes more efficiently than traditional methods.

bioRxiv · Feb 27, 2021 · PreprintBioengineering

Mapping the Host-Pathogen Space to Link Longitudinal and Cross-sectional Biomarker Data: Leptospira Infection in California Sea Lions (Zalophus californianus) as a Case Study

K. C. Prager, M. G. Buhnerkempe, D. J. Greig, A. J. Orr, E. D. Jensen, F. Gomez, R. L. Galloway, Q. Wu, F. M. Gulland, J. O. Lloyd-Smith

The paper maps host-pathogen interactions using quantitative biomarker data to understand disease dynamics in California sea lions, revealing a unidirectional disease trajectory that applies to both longitudinal and cross-sectional datasets.

bioRxiv · Oct 25, 2019 · PreprintEcology