Author

R. Zeidler

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· 1 Cancer Biology· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Organism:mouse· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

A. Erturk· 2 shared C. Pan· 2 shared M. I. Todorov· 2 shared A. Ghasemi· 1 shared A. K. Schuetz· 1 shared A. Liesz· 1 shared A. Parra-Damas· 1 shared A. Simats· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioengineering

A. Erturk

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Single-cell precision nanotechnology in vivo

M. MOLBAY, B. Kick, S. Zhao, M. I. Todorov, T.-L. Ohn, S. Roth, A. Simats, V. Singh, I. Khalin, C. Pan, H. Singh Bhatia, F. Hellal, R. Zeidler, A. Liesz, N. Plesnila, , A. Erturk

This study demonstrates DNA origami can be directed in vivo to target immune cells and cancer metastases, showing potential for precision drug delivery.

bioRxiv · Jul 24, 2023 · PreprintBioengineering

Micro RNAs are minor constituents of extracellular vesicles and are hardly delivered to target cells

M. Albanese, Y.-F. A. Chen, C. Huels, K. Gaertner, T. Tagawa, E. Mejias-Perez, O. T. Keppler, C. Goebel, R. Zeidler, M. Shein, A. K. Schuetz, W. Hammerschmidt

This study investigates whether extracellular vesicles (EVs) deliver microRNAs to target cells and found that miRNAs are not effectively delivered or functional.

PLOS Genetics · Dec 6, 2021Peer-reviewedCell Biology

Deep learning reveals cancer metastasis and therapeutic antibody targeting in whole body

C. Pan, O. Schoppe, A. Parra-Damas, R. Cai, M. I. Todorov, G. Gondi, B. von Neubeck, A. Ghasemi, M. A. Reimer, J. Coronel, B. K. Garvalov, B. Menze, R. Zeidler, A. Erturk

This paper introduces DeepMACT, a pipeline for automated detection of cancer metastases and therapeutic antibody targeting in whole-body mouse models using deep learning and enhanced imaging.

bioRxiv · Feb 5, 2019 · PreprintCancer Biology