Author

C. A. Lemmon

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cell Biology· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell signaling & trafficking· 2 Approach:deep learning· 2 Assay:imaging· 2 Approach:statistical model· 2 Approach:experimental assay· 1

Frequent Co-Authors

S. H. Weinberg· 2 shared B. P. Griffin· 1 shared C. J. Largaespada· 1 shared D. E. Conway· 1 shared E. M. Cherry· 1 shared L. A. Griggs· 1 shared L. E. Scott· 1 shared M. J. Hoffman· 1 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCell Biology

S. H. Weinberg

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A Predictive Model of Intercellular Tension and Cell-Matrix Mechanical Interactions in a Multicellular Geometry

L. E. Scott, L. A. Griggs, V. Narayanan, D. E. Conway, C. A. Lemmon, S. H. Weinberg

The paper develops a multicellular computational model to simulate intercellular tension and cell-matrix interactions during epithelial-mesenchymal transition, showing it can reproduce key aspects of EMT dynamics and spatial patterning.

bioRxiv · Jul 12, 2019Cell Biology

Cell fate forecasting: a data assimilation approach to predict epithelial-mesenchymal transition

M. J. Mendez, M. J. Hoffman, E. M. Cherry, C. A. Lemmon, S. H. Weinberg

This paper demonstrates a data assimilation approach using an ensemble Kalman filter to predict epithelial-mesenchymal transition (EMT) state transitions by integrating noisy observations with a computational model of TGFβ-induced EMT.

bioRxiv · Jun 12, 2019Cell Biology

A Novel Method for Quantifying Traction Forces from Hexagonal Micropatterned Features on Deformable Poly-Dimethyl Siloxane Sheets

B. P. Griffin, C. J. Largaespada, N. A. Rinaldi, C. A. Lemmon

This paper introduces a new method to quantify cellular traction forces using hexagonal micropatterned PDMS surfaces, avoiding the need for cell removal and enabling force measurement in cells with low cytoskeletal stiffness.

bioRxiv · Nov 29, 2018Bioengineering