Author

G. B. Stark

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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Cell Biology· 2 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Assay:scRNA-seq· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

A. Hasuike· 1 shared A. V. Predeus· 1 shared B. F. Matuck· 1 shared B. Fremin· 1 shared B. M. Warner· 1 shared C. Jeney· 1 shared C. L. Worth· 1 shared D. Halm· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperCell Biology

A. Hasuike

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Polybacterial intracellular coinfection of epithelial stem cells in periodontitis

Q. T. Easter, B. F. Matuck, G. B. Stark, C. L. Worth, A. V. Predeus, B. Fremin, K. T. Huynh, V. Ranganathan, D. Pereira, T. Weaver, K. Miller, P. Perez, A. Hasuike, Z. Chen, M. Bush, , K. M. Byrd

This study identifies polybacterial intracellular co-infection in human periodontal epithelial cells, revealing its proinflammatory effects and potential role in chronic diseases.

bioRxiv · Aug 23, 2023 · PreprintCell Biology

Characterization of CRISPR/Cas9 RANKL knockout mesenchymal stem cell clones based on single-cell printing technology and emulsion coupling assay as a low-cellularity workflow for single-cell cloning

T. Gross, C. Jeney, D. Halm, G. Finkenzeller, G. B. Stark, R. Zengerle, P. Koltay, S. Zimmermann

The paper introduces a low-cellularity workflow for characterizing CRISPR/Cas9 edited mesenchymal stem cells using single-cell printing and emulsion coupling assay to assess genetic and protein changes without large-scale clonal expansion.

PLOS ONE · Mar 4, 2021Peer-reviewedCell Biology

Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models

M. W. Göpper, J. Neubauer, Z. Kalash, G. B. Stark, F. Simunovic

This paper improves breast volume calculation from 3D surface imaging by using statistical shape models, showing higher accuracy than interpolation methods.

bioRxiv · May 13, 2020Scientific Communication & Education