Author

J. Kreger

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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Evolutionary Biology· 4 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1

Frequent Co-Authors

D. Wodarz· 4 shared N. L. Komarova· 3 shared A. G. Baugh· 1 shared A. MacLean· 1 shared C. Rafie· 1 shared D. Brown· 1 shared D. N. Levy· 1 shared D. P. Anastasiadou· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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4 shared papersEvolutionary Biology

D. Wodarz

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Mimicking the breast metastatic microenvironment: characterization of a novel syngeneic model of HER2+ breast cancer

A. G. Baugh, E. Gonzalez, V. H. Narumi, J. Kreger, Y. Liu, C. Rafie, S. Castanon, J. Jang, L. T. Kagohara, D. P. Anastasiadou, J. Leatherman, T. D. Armstrong, I. Chan, G. S. Karagiannis, E. M. Jaffee, , E. T. Roussos Torres

The paper characterizes a novel syngeneic murine breast cancer model (NT2.5-LM) that exhibits rapid and widespread metastases, enabling study of metastatic progression and therapeutic responses.

bioRxiv · Jan 25, 2024Cancer Biology

The role of migration in mutant evolution in fragmented populations

J. Kreger, D. Brown, N. Komarova, D. Wodarz, J. Pritchard

This study investigates how migration affects mutant distribution in fragmented populations, showing that migration alters probability distributions and can sustain mutant numbers in small demes.

bioRxiv · Jun 9, 2021 · PreprintEvolutionary Biology

A hybrid stochastic-deterministic approach to explore multiple infection and evolution in HIV

J. Kreger, N. L. Komarova, D. Wodarz

This paper introduces a hybrid stochastic-deterministic algorithm to simulate HIV mutant evolution, showing it can accurately model dynamics with reduced computational cost and reveal evolutionary outcomes not captured by deterministic models.

bioRxiv · Aug 30, 2020Evolutionary Biology

Quantifying the dynamics of viral recombination during free virus and cell-to-cell transmission in HIV-1 infection

J. Kreger, J. Garcia, H. Zhang, N. L. Komarova, D. Wodarz, D. N. Levy

This study quantifies how HIV-1 recombination dynamics differ between free virus and cell-to-cell transmission, finding faster recombination with cell-to-cell transmission due to increased infection multiplicity and co-transmission of viral strains.

bioRxiv · Aug 28, 2020Evolutionary Biology

Effect of synaptic cell-to-cell transmission and recombination on the evolution of double mutants in HIV

J. Kreger, N. L. Komarova, D. Wodarz

This study investigates how synaptic and free-virus transmission modes affect the evolution of HIV double mutants using a stochastic agent-based model, finding that each mode influences mutant persistence and spread differently based on mutant fitness.

bioRxiv · Aug 24, 2019Evolutionary Biology