Author

P. A. Wiggins

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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Biophysics· 2 Microbiology· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 3 Research Focus:cell type annotation· 2 Research Focus:chromatin & epigenetic regulation· 2 Assay:DNA methylation· 2 Organism:E. coli· 2 Approach:experimental assay· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

D. Huang· 3 shared H. Merrikh· 3 shared J. D. Mougous· 2 shared T. Lo· 2 shared A. E. Johnson· 1 shared B. S. Sim· 1 shared B. T. Veit· 1 shared C. Stringer· 1 shared

Activity by Year

2016-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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3 shared papersBiophysics

D. Huang

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

The high-resolution in vivo measurement of replication fork velocity and pausing by lag-time analysis

D. Huang, A. E. Johnson, B. S. Sim, T. Lo, H. Merrikh, P. A. Wiggins

This paper introduces lag-time analysis to measure replication fork velocity and pausing in vivo, finding locus- and time-dependent dynamics and novel pauses at rDNA.

bioRxiv · Aug 13, 2022 · PreprintBiophysics

Omnipose: a high-precision morphology-independent solution for bacterial cell segmentation

K. J. Cutler, C. Stringer, P. A. Wiggins, J. D. Mougous

Omnipose is a bacterial cell segmentation algorithm that outperforms existing methods by accurately segmenting challenging samples, including mixed cultures and branched cells.

bioRxiv · Nov 3, 2021Microbiology

Characterizing stochastic cell cycle dynamics in exponential growth

D. Huang, T. Lo, H. Merrikh, P. A. Wiggins

The paper establishes an exact correspondence between deterministic and stochastic cell cycle models, showing deterministic models can well-fit exponential culture demographics even with stochastic state timing.

bioRxiv · Aug 24, 2021Biophysics

An interbacterial DNA deaminase toxin directly mutagenizes surviving target populations

M. H. de Moraes, F. Hsu, D. Huang, D. E. Bosch, J. Zeng, M. C. Radey, N. Simon, H. E. Ledvina, J. P. Frick, P. A. Wiggins, S. B. Peterson, J. D. Mougous

This study shows that interbacterial toxins like DddA can induce mutations in surviving bacterial populations, promoting adaptation through direct DNA mutagenesis.

bioRxiv · Sep 23, 2020Microbiology

The replisomes remain spatially proximal throughout the cell cycle in bacteria

S. M. Mangiameli, B. T. Veit, H. Merrikh, P. A. Wiggins

This paper uses time-lapse imaging to show that replication forks remain spatially close in two bacterial species, supporting the Factory Model over the Track Model.

bioRxiv · Dec 30, 2016Cell Biology