scispace - formally typeset
E

Erkan Tüzel

Researcher at Temple University

Publications -  74
Citations -  2084

Erkan Tüzel is an academic researcher from Temple University. The author has contributed to research in topics: Myosin & Tip growth. The author has an hindex of 23, co-authored 74 publications receiving 1742 citations. Previous affiliations of Erkan Tüzel include Işık University & Worcester Polytechnic Institute.

Papers
More filters
Journal ArticleDOI

Shifting the optimal stiffness for cell migration.

TL;DR: A cell migration simulator predicts that the stiffness optimum of U251 glioma cell migration, morphology and F-actin retrograde flow rate can be shifted to lower stiffness by simultaneous drug inhibition of myosin II motors and integrin-mediated adhesions.
Journal ArticleDOI

Myosin XI Is Essential for Tip Growth in Physcomitrella patens

TL;DR: It is demonstrated that the two myosin XI genes present in the moss Physcomitrella patens are functionally redundant, localize to the apical region of actively growing protonemal cells, and play a key role in tip growth.
Journal ArticleDOI

Exhaustion of Racing Sperm in Nature-Mimicking Microfluidic Channels During Sorting

TL;DR: A simple, cost-effective microfluidic channel is designed on the same scale to regulate the sperm's journey to the egg, supported by a computational model incorporating the exhaustion time of sperm.
Journal ArticleDOI

Anterograde Microtubule Transport Drives Microtubule Bending in LLC-PK1 Epithelial Cells

TL;DR: Many of the known mechanisms of MT deformation, such as polymerization and acto-myosin contractility, play an inconsequential role in mediating MT bending in LLC-PK1 cells and that MT-based molecular motors likely generate most of the strain energy stored in the MT lattice.
Journal ArticleDOI

Transport by Populations of Fast and Slow Kinesins Uncovers Novel Family-Dependent Motor Characteristics Important for In Vivo Function

TL;DR: Simulations show that the force-dependence of detachment is the key parameter that determines gliding speed in multimotor assays, while motor compliance, surface density, and stall force all play minimal roles, and provide estimates for force-dependent dissociation rates.