Author

M. G. Forest

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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Immunology· 3 Cell Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Assay:imaging· 3 Approach:statistical model· 3 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:fungi (other)· 1

Frequent Co-Authors

A. Chen· 2 shared J. Pearson· 2 shared R. Freeman· 2 shared T. Wessler· 2 shared A. Aristotelous· 1 shared A. S. Gladfelter· 1 shared D. B. Hill· 1 shared E. M. Langdon· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersImmunology

A. Chen

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Author profile →

5 papers

Recent·Most cited

Statistical Methods for Microrheology of Airway Mucus with Extreme Heterogeneity

N. Caughman, M. Papanikolas, M. R. Markovetz, R. Freeman, D. B. Hill, M. G. Forest, M. Lysy

This paper develops statistical methods to analyze rheological heterogeneity in CF-related airway mucus using particle-tracking and noise decomposition.

bioRxiv · Nov 20, 2023 · PreprintMicrobiology

Global Sensitivity Analysis of the Onset of Nasal Passage Infection by SARS-CoV-2 With Respect to Heterogeneity in Host Physiology and Host Cell-Virus Kinetic Interactions

L. Zhang, H. Cao, K. Medlin, J. Pearson, A. Aristotelous, A. Chen, T. Wessler, M. G. Forest

This study uses global sensitivity analysis to identify key factors driving variability in SARS-CoV-2 nasal infection outcomes, focusing on host physiology and cell-virus kinetics.

bioRxiv · Nov 4, 2023 · PreprintImmunology

Modeling predicts mechanisms altered by mutations of the SARS-CoV-2 delta and omicron variants

J. Pearson, T. Wessler, A. Chen, R. C. Boucher, R. Freeman, S. K. Lai, R. Pickles, M. G. Forest

The paper models how mutations in SARS-CoV-2 delta and omicron variants alter viral load and infection outcomes by simulating different mechanistic changes.

bioRxiv · Feb 23, 2022 · PreprintImmunology

3D neural network-based particle tracking reveals spatial heterogeneity of the cytosol

G. A. McLaughlin, E. M. Langdon, J. M. Crutchley, L. J. Holt, M. G. Forest, J. M. Newby, A. S. Gladfelter

The paper develops a 3D neural network-based pipeline to track cytosolic nanoparticles in fungi, revealing spatial heterogeneity in diffusivity within and between cells.

bioRxiv · Oct 30, 2019 · PreprintCell Biology

Antibody-mediated immobilization of virions in mucus

M. Jensen, Y.-Y. Wang, S. Lai, M. G. Forest, S. A. McKinley

This study analyzes virion movement in mucus using single-particle tracking to show how antibodies immobilize virions through cooperative binding and entanglement with mucin.

bioRxiv · Jan 11, 2019Immunology