Randall Division of Cell and Molecular Biophysics

About: Randall Division of Cell and Molecular Biophysics is a based out in . It is known for research contribution in the topics: Actin cytoskeleton & Skeletal muscle. The organization has 576 authors who have published 1229 publications receiving 78279 citations.

Inhibition of ROCK by RhoE.

Abstract: RhoE belongs to the Rnd subfamily of small Rho-related GTP-binding proteins. Similar to other Rho proteins, RhoE regulates actin cytoskeleton dynamics. Expression of RhoE induces loss of actin stress fibers, and it also increases cell migration speed. In part, this is due to RhoE interaction with the RhoA effector ROCK I, a serine/threonine kinase that regulates the formation and contractility of stress fibers. Interestingly, RhoE does not interact with the highly homologous kinase ROCK II. RhoE binding inhibits ROCK I from phosphorylating its downstream target myosin light chain phosphatase, thus increasing the activity of the phosphatase to dephosphorylate myosin II, which results in reduced actomyosin contractility. RhoE itself is phosphorylated by ROCK I, and this may enhance RhoE regulation of ROCK I function. This chapter describes the method used for studying ROCK inhibition by RhoE.

Discreet and distinct clustering of five model membrane proteins revealed by single molecule localization microscopy.

Abstract: Compartmentalization is a functionally important property of the plasma membrane, yet the underlying principles that organize membrane proteins into distinct domains are not well understood. Using single molecule localization microscopy, we assessed the clustering of five model membrane proteins in the plasma membrane of HeLa cells. All five proteins formed discrete and distinct nano-scaled clusters. The extent of clustering of the five proteins, independent of their membrane anchors, increased significantly when the fluorescent protein mEOS2 was employed, suggesting that protein–protein interactions are a key driver for clustering. Further, actin depolymerization or reduction of membrane order had a greater, and in some instances opposing effects on the clustering of membrane proteins fused to mEOS2 compared to PS-CFP2-fusion proteins. The data propose that protein interactions can override the lateral organization imposed by membrane anchors to provide an exquisite regulation of the mosaic-like ...

Unusual magneto-optical phenomenon reveals low energy spin dispersion in the spin-1 anisotropic Heisenberg antiferromagnetic chain system NiCl2-4SC(NH2)(2)

Abstract: Electron paramagnetic resonance measurements of NiCl2-4SC(NH2)_{2} reveal the low-energy spin dispersion, including a magnetic-field interval in which the two-magnon continuum is within k_{B}T of the ground state, allowing a continuum of excitations over a range of k states, rather than only the k=0 single-magnon excitations. This produces a novel Y shape in the frequency-field EPR spectrum measured at T > or = 1.5 K. Since the interchain coupling J_{ perpendicular}<

Network resilience against intelligent attacks constrained by the degree-dependent node removal cost

Abstract: We study the resilience of complex networks against attacks in which nodes are targeted intelligently, but where disabling a node has a cost to the attacker which depends on its degree. Attackers have to meet these costs with limited resources, which constrains their actions. A network's integrity is quantified in terms of the efficacy of the process that it supports. We calculate how the optimal attack strategy and the most attack-resistant network degree statistics depend on the node removal cost function and the attack resources. The resilience of networks against intelligent attacks is found to depend strongly on the node removal cost function faced by the attacker. In particular, if node removal costs increase sufficiently fast with the node degree, power law networks are found to be more resilient than Poissonian ones, even against optimized intelligent attacks. For cost functions increasing quadratically in the node degrees, intelligent attackers cannot damage the network more than random damages would.