Hetmanski, Joseph
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8

Membrane tension orchestrates rear retraction in matrix dir..:

Hetmanski, Joseph ; de Belly, Henry ; Busnelli, Ignacio...
Hetmanski , J , de Belly , H , Busnelli , I , Waring , T , Nair , R V , Sokleva , V , Dobre , O , Cameron , A , Gauthier , N , Lamaze , C , Swift , J , del Campo , A , Starborg , T , Zech , T , Goetz , J G , Paluch , E K , Schwartz , J-M & Caswell , P 2019 , ' Membrane tension orchestrates rear retraction in matrix directed cell migration ' , Developmental cell , vol. 51 , pp. 460-75 . https://doi.org/10.1016/j.devcel.2019.09.006.  , 2019
 
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Rationalizing Rac1 and RhoA GTPase signaling: A mathematica..:

Hetmanski, Joseph ; Schwartz, Jean-Marc ; Caswell, Patrick T
Hetmanski , J , Schwartz , J-M & Caswell , P T 2018 , ' Rationalizing Rac1 and RhoA GTPase signaling: A mathematical approach ' , Small GTPases , vol. 9 , no. 3 , pp. 224-229 . https://doi.org/10.1080/21541248.2016.1218406.  , 2018
 
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10

A MAPK-driven feedback loop suppresses Rac activity to prom..:

Hetmanski, Joseph ; Zindy, Egor ; Schwartz, Jean-Marc.
Hetmanski , J , Zindy , E , Schwartz , J-M & Caswell , P 2016 , ' A MAPK-driven feedback loop suppresses Rac activity to promote RhoA-driven cancer cell invasion ' , PL o S Computational Biology , vol. 12 , no. 5 , e1004909 . https://doi.org/10.1371/journal.pcbi.1004909.  , 2016
 
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Modelling GTPase dynamics to understand RhoA-driven cancer ..:

Hetmanski, Joseph ; Schwartz, Jean-Marc ; Caswell, Patrick
Hetmanski , J , Schwartz , J-M & Caswell , P 2016 , ' Modelling GTPase dynamics to understand RhoA-driven cancer cell invasion ' , Biochemical Society Transactions , vol. 44 , no. 6 , pp. 1695-1700 . https://doi.org/10.1042/BST20160184.  , 2016
 
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14

Combinatorial mathematical modelling approaches to interrog..:

Hetmanski, Joseph H. R ; Jones, Matthew C ; Chunara, Fatima..
Hetmanski , J H R , Jones , M C , Chunara , F , Schwartz , J & Caswell , P T 2021 , ' Combinatorial mathematical modelling approaches to interrogate rear retraction dynamics in 3D cell migration ' , PLoS Computational Biology , vol. 17 , no. 3 , e1008213 , pp. e1008213 . https://doi.org/10.1371/journal.pcbi.1008213.  , 2021
 
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