Meghan Driscoll
Meghan Driscoll
Assistant Professor, University of Minnesota
Verified email at
Cited by
Cited by
The nucleus acts as a ruler tailoring cell responses to spatial constraints
AJ Lomakin, CJ Cattin, D Cuvelier, Z Alraies, M Molina, GPF Nader, ...
Science 370 (6514), eaba2894, 2020
Nuclear positioning facilitates amoeboid migration along the path of least resistance
J Renkawitz, A Kopf, J Stopp, I de Vries, MK Driscoll, J Merrin, ...
Nature 568 (7753), 546-550, 2019
Light-sheet microscopy of cleared tissues with isotropic, subcellular resolution
T Chakraborty, MK Driscoll, E Jeffery, MM Murphy, P Roudot, BJ Chang, ...
Nature Methods 16 (11), 1109-1113, 2019
Cellular contact guidance through dynamic sensing of nanotopography
MK Driscoll, X Sun, C Guven, JT Fourkas, W Losert
ACS nano 8 (4), 3546-3555, 2014
Cell shape dynamics: from waves to migration
MK Driscoll, C McCann, R Kopace, T Homan, JT Fourkas, C Parent, ...
PLoS computational biology 8 (3), e1002392, 2012
Quantitative multiscale cell imaging in controlled 3D microenvironments
ES Welf*, MK Driscoll*, KM Dean, C Schäfer, J Chu, MW Davidson, ...
Developmental cell 36 (4), 462-475, 2016
Robust and automated detection of subcellular morphological motifs in 3D microscopy images
MK Driscoll, ES Welf, AR Jamieson, KM Dean, T Isogai, R Fiolka, ...
Nature methods 16 (10), 1037-1044, 2019
Asymmetric nanotopography biases cytoskeletal dynamics and promotes unidirectional cell guidance
X Sun, MK Driscoll, C Guven, S Das, CA Parent, JT Fourkas, W Losert
Proceedings of the National Academy of Sciences 112 (41), 12557-12562, 2015
Actin-membrane release initiates cell protrusions
ES Welf, CE Miles, J Huh, E Sapoznik, J Chi, MK Driscoll, T Isogai, J Noh, ...
Developmental cell 55 (6), 723-736. e8, 2020
Quantifying modes of 3D cell migration
MK Driscoll, G Danuser
Trends in cell biology 25 (12), 749-759, 2015
Automated image analysis of nuclear shape: What can we learn from a prematurely aged cell?
MK Driscoll, JL Albanese, ZM Xiong, M Mailman, W Losert, K Cao
Aging (Albany NY) 4 (2), 119, 2012
Machine learning based methodology to identify cell shape phenotypes associated with microenvironmental cues
D Chen, S Sarkar, J Candia, SJ Florczyk, S Bodhak, MK Driscoll, ...
Biomaterials 104, 104-118, 2016
Blebs promote cell survival by assembling oncogenic signalling hubs
AD Weems, ES Welf, MK Driscoll, FY Zhou, H Mazloom-Farsibaf, ...
Nature 615 (7952), 517-525, 2023
From cellular characteristics to disease diagnosis: uncovering phenotypes with supercells
J Candia, R Maunu, M Driscoll, A Biancotto, P Dagur, JP McCoy Jr, ...
PLoS computational biology 9 (9), e1003215, 2013
Geometry-driven polarity in motile amoeboid cells
O Nagel, C Guven, M Theves, M Driscoll, W Losert, C Beta
PloS one 9 (12), e113382, 2014
The interplay of cell–cell and cell–substrate adhesion in collective cell migration
C Wang, S Chowdhury, M Driscoll, CA Parent, SK Gupta, W Losert
Journal of The Royal Society Interface 11 (100), 20140684, 2014
Local and global measures of shape dynamics
MK Driscoll, JT Fourkas, W Losert
Physical biology 8 (5), 055001, 2011
Spatiotemporal relationships between the cell shape and the actomyosin cortex of periodically protruding cells
MK Driscoll, W Losert, K Jacobson, M Kapustina
Cytoskeleton 72 (6), 268-281, 2015
Binary and gray-scale patterning of chemical functionality on polymer films
L Li, M Driscoll, G Kumi, R Hernandez, KJ Gaskell, W Losert, JT Fourkas
Journal of the American Chemical Society 130 (41), 13512-13513, 2008
Data science in cell imaging
MK Driscoll, A Zaritsky
Journal of cell science 134 (7), jcs254292, 2021
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