Author

M. A. Seibold

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· 1 Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:experimental assay· 3 Research Focus:differential expression· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

J. L. Everman· 2 shared M. T. Montgomery· 2 shared S. P. Sajuthi· 2 shared A. Borczuk· 1 shared A. N. Goldberg· 1 shared A. Schäfer· 1 shared A. VanSchoiack· 1 shared A. West· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersMicrobiology

J. L. Everman

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

IL-13-programmed airway tuft cells produce PGE2, which promotes CFTR-dependent mucociliary function

M. E. Kotas, C. M. Moore, J. G. Gurrola, S. D. Pletcher, A. N. Goldberg, R. Alvarez, S. Yamato, P. E. Bratcher, C. A. Shaughnessy, P. L. Zeitlin, I. Zhang, Y. Li, M. T. Montgomery, K. Lee, E. K. Cope, , E. D. Gordon

The paper identifies IL-13-programmed airway tuft cells that produce PGE2, which enhances CFTR-dependent mucociliary function in allergic airways.

bioRxiv · May 11, 2022Immunology

A model of persistent post SARS-CoV-2 induced lung disease for target identification and testing of therapeutic strategies

K. H. Dinnon, S. R. Leist, K. Okuda, H. Dang, E. J. Fritch, K. L. Gully, G. Cruz, M. D. Evangelista, T. Asakura, R. C. Gilmore, P. Hawkins, S. Nakano, A. West, A. Schäfer, L. E. Gralinski, , Montg

This paper develops a murine model of persistent post-SARS-CoV-2 lung disease to identify therapeutic targets and test interventions for PASC.

bioRxiv · Feb 15, 2022 · PreprintMicrobiology

Dissecting the cellular specificity of smoking effects and reconstructing lineages in the human airway epithelium

K. C. Goldfarbmuren, N. D. Jackson, S. P. Sajuthi, N. Dyjack, K. S. Li, C. L. Rios, E. G. Plender, M. T. Montgomery, J. L. Everman, E. K. Vladar, M. A. Seibold

The paper uses single-cell RNA sequencing to analyze smoking effects on airway epithelial cells, identifying cell-specific responses and lineage relationships.

bioRxiv · Apr 17, 2019Cell Biology