Population of nonnative states of lysozyme variants drives amyloid fibril formation.

The propensity of protein molecules to self-assemble into highly ordered, fibrillar aggregates lies at the heart of understanding many disorders ranging from Alzheimer's disease to systemic lysozyme amyloidosis. In this paper we use highly accurate kinetic measurements of amyloid fibril growth in combination with spectroscopic tools to quantify the effect of modifications in solution conditions and in the amino acid sequence of human lysozyme on its propensity to form amyloid fibrils under acidic conditions. We elucidate and quantify the correlation between the rate of amyloid growth and the population of nonnative states, and we show that changes in amyloidogenicity are almost entirely due to alterations in the stability of the native state, while other regions of the global free-energy surface remain largely unmodified. These results provide insight into the complex dynamics of a macromolecule on a multidimensional energy landscape and point the way for a better understanding of amyloid diseases.

The Get3 ATPase drives unidirectional targeting of tail-anchored membrane proteins

Efficient and accurate localization of membrane proteins is essential to all cells and requires a complex cascade of interactions between protein machineries. This is exemplified in the recently discovered Guided Entry of Tail-anchored protein pathway, in which the central targeting factor Get3 must sequentially interact with three distinct binding partners (Get4, Get1 and Get2) to ensure the targeted delivery of Tail-anchored proteins to the endoplasmic reticulum membrane. To understand the molecular and energetic principles that provide the vectorial driving force of these interactions, we used a quantitative fluorescence approach combined with mechanistic enzymology to monitor the effector interactions of Get3 at each stage of Tail-anchored protein targeting. We show that nucleotide and membrane protein substrate generate a gradient of interaction energies that drive the cyclic and ordered transit of Get3 from Get4 to Get2 and lastly to Get1. These data also define how the Get3/Tail-anchored complex is captured, handed over, and disassembled by the Get1/2 receptor at the membrane, and reveal a novel role for Get4/5 in recycling Get3 from the endoplasmic reticulum membrane at the end of the targeting reaction. These results provide general insights into how complex cascades of protein interactions are coordinated and coupled to energy inputs in biological systems.

Age- or length-based methods of growth estimation. What drives the choice?

Based upon a global comparison of over 400 fisheries, the Principal Components Analysis (PCA) methodology was used to identify factors affecting the choice of growth estimation methods. Of the six factors examined, the growth rate (K) and asymptotic length (L8) explained most of the variations. Financial resources, i.e., Gross National Product (GNP), and latitude were also important factors.