Author

J. Karslake

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

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:E. coli· 2 Research Focus:host-pathogen & immune response· 2 Organism:bacteria (other)· 1 Approach:Bayesian inference· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1

Frequent Co-Authors

J. S. Biteen· 2 shared K. B. Wood· 2 shared A. F. Read· 1 shared A. Farhat· 1 shared E. D. Donarski· 1 shared E. Hansen· 1 shared K. M. Hallinen· 1 shared K. Ragunathan· 1 shared

Activity by Year

2019-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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2 shared papersBiophysics

J. S. Biteen

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Author profile →

4 papers

Recent·Most cited

HP1 oligomerization compensates for low-affinity H3K9me recognition and provides a tunable mechanism for heterochromatin-specific localization

S. Biswas, J. Karslake, Z. Chen, A. Farhat, P. Freddolino, J. S. Biteen, K. Ragunathan

This study investigates how HP1 proteins recognize H3K9me with high specificity despite low-affinity binding, showing that oligomerization compensates for this and enables heterochromatin localization.

bioRxiv · Jan 26, 2021Biophysics

Delayed antibiotic exposure induces population collapse in enterococcal communities with drug-resistant subpopulations

K. M. Hallinen, J. Karslake, K. B. Wood

The paper shows that delayed antibiotic exposure can cause population collapse in E. faecalis communities with drug-resistant subpopulations, revealing density-dependent dynamics.

bioRxiv · Sep 16, 2019Microbiology

Antibiotics can be used to contain drug-resistant bacteria by maintaining sufficiently large sensitive populations

E. Hansen, J. Karslake, R. J. Woods, A. F. Read, K. B. Wood

This study shows that maintaining large populations of drug-sensitive bacteria can delay the rise of drug-resistant bacteria using containment strategies.

bioRxiv · Jun 5, 2019Microbiology

SMAUG: Analyzing single-molecule tracks with nonparametric Bayesian statistics

J. Karslake, E. D. Donarski, S. A. Shelby, L. M. Demey, V. J. DiRita, S. L. Veatch, J. S. Biteen

SMAUG uses nonparametric Bayesian statistics to analyze single-molecule trajectories, providing mobility states, diffusion coefficients, and transition probabilities in both prokaryotic and eukaryotic systems.

bioRxiv · Mar 15, 2019Biophysics