细胞结构动力学——实时调控细胞力学的因素分析

机械力普遍存在于活细胞的生命活动中,而细胞内力学活动必须依赖骨架结构传递,这种独特的力学形式被称为细胞结构力学.单位时间内细胞结构力学变化受多因素调控,如外力、渗透压、动力分子、张力敏感性离子通道、胞内力学感受器及骨架组装等,构成了细胞结构动力学研究的重要内容.基于荧光共振能量转移(FRET)原理开发的荧光张力探针能整合到细胞骨架内,将细胞结构力学变化转化为光学信号,可能带来细胞力学研究的革命.随着细胞结构动力学研究内容的不断深入,特别是太空时代细胞力学稳态的打破,细胞结构动力学将在生命及医学研究领域显露出越来越重要的地位.     

Allosteric regulation of pentameric ligand-gated ion channels: An emerging mechanistic perspective

Pentameric ligand-gated ion channels (pLGICs) play a central role in intercellular communications in the nervous system by converting the binding of a chemical messenger—a neurotransmitter—into an ion flux through the postsynaptic membrane. They are oligomeric assemblies that provide prototypical examples of allosterically regulated integral membrane proteins. Here, we present an overview of the most recent advances on the signal transduction mechanism based on the X-ray structures of both prokaryotic and invertebrate eukaryotic pLGICs and on atomistic Molecular Dynamics simulations. The present results suggest that ion gating involves a large structural reorganization of the molecule mediated by two distinct quaternary transitions, a global twisting and the blooming of the extracellular domain, which can be modulated by ligand binding at the topographically distinct orthosteric and allosteric sites. The emerging model of gating is consistent with a wealth of functional studies and will boost the development of novel pharmacological strategies.     

Gene ontology improves template selection in comparative protein docking

Structural characterization of protein-protein interactions is essential for our ability to study life processes at the molecular level. Computational modeling of protein complexes (protein docking) is important as the source of their structure and as a way to understand the principles of protein interaction. Rapidly evolving comparative docking approaches utilize target/template similarity metrics, which are often based on the protein structure. Although the structural similarity, generally, yields good performance, other characteristics of the interacting proteins (eg, function, biological process, and localization) may improve the prediction quality, especially in the case of weak target/template structural similarity. For the ranking of a pool of models for each target, we tested scoring functions that quantify similarity of Gene Ontology (GO) terms assigned to target and template proteins in three ontology domains—biological process, molecular function, and cellular component (GO-score). The scoring functions were tested in docking of bound, unbound, and modeled proteins. The results indicate that the combined structural and GO-terms functions improve the scoring, especially in the twilight zone of structural similarity, typical for protein models of limited accuracy.     

UNDERSTANDING INTERCELLULAR INTERACTIONS AND CELL ADHESION: LESSONS FROM STUDIES ON PROTEIN—METAL INTERACTIONS

To understand cell—cell interactions and the interactions of cells to non-biological materials, studies on binding forces between cellular proteins and between proteins and non-biological material such as metal surfaces are essential. The adsorption of proteins to solid—water interfaces is a multifactorial and a multistep process. First steps are determined by long-range interactions where surface properties such as hydrophobicity, distribution of charged groups, ion concentrations and pH play important roles. In later steps structural rearrangements in the protein molecule and dehydration effects become more important making the adsorption process often irreversible. In the following we demonstrate that protein A and tubulin have a specific type of interaction to metal surfaces probably as an intermediate step in the adsorption process. The proteins were attached to the tip of a microfabricated cantilever in such a way that only one molecule interacts with the surface. By recording force—distance curves with an atomic force microscope the adhesion forces of single molecules binding to gold, titanium and indium—tinoxid surfaces were measured.     

On the Potential of Machine Learning to Examine the Relationship Between Sequence,Structure, Dynamics and Function of Intrinsically Disordered Proteins

Intrinsically disordered proteins (IDPs) constitute a broad set of proteins with few uniting and many diverging properties. IDPs—and intrinsically disordered regions (IDRs) interspersed between folded domains—are generally characterized as having no persistent tertiary structure; instead they interconvert between a large number of different and often expanded structures. IDPs and IDRs are involved in an enormously wide range of biological functions and reveal novel mechanisms of interactions, and while they defy the common structure-function paradigm of folded proteins, their structural preferences and dynamics are important for their function. We here discuss open questions in the field of IDPs and IDRs, focusing on areas where machine learning and other computational methods play a role. We discuss computational methods aimed to predict transiently formed local and long-range structure, including methods for integrative structural biology. We discuss the many different ways in which IDPs and IDRs can bind to other molecules, both via short linear motifs, as well as in the formation of larger dynamic complexes such as biomolecular condensates. We discuss how experiments are providing insight into such complexes and may enable more accurate predictions. Finally, we discuss the role of IDPs in disease and how new methods are needed to interpret the mechanistic effects of genomic variants in IDPs.     

Molecular Modeling of Mechanosensory Ion Channel Structural and Functional Features

The DEG/ENaC (Degenerin/Epithelial Sodium Channel) protein family comprises related ion channel subunits from all metazoans, including humans. Members of this protein family play roles in several important biological processes such as transduction of mechanical stimuli, sodium re-absorption and blood pressure regulation. Several blocks of amino acid sequence are conserved in DEG/ENaC proteins, but structure/function relations in this channel class are poorly understood. Given the considerable experimental limitations associated with the crystallization of integral membrane proteins, knowledge-based modeling is often the only route towards obtaining reliable structural information. To gain insight into the structural characteristics of DEG/ENaC ion channels, we derived three-dimensional models of MEC-4 and UNC-8, based on the available crystal structures of ASIC1 (Acid Sensing Ion Channel 1). MEC-4 and UNC-8 are two DEG/ENaC family members involved in mechanosensation and proprioception respectively, in the nematode Caenorhabditis elegans. We used these models to examine the structural effects of specific mutations that alter channel function in vivo. The trimeric MEC-4 model provides insight into the mechanism by which gain-of-function mutations cause structural alterations that result in increased channel permeability, which trigger cell degeneration. Our analysis provides an introductory framework to further investigate the multimeric organization of the DEG/ENaC ion channel complex.     

Whole cell,label free protein quantitation with data independent acquisition: Quantitation at the MS2 level

Label free quantitation by measurement of peptide fragment signal intensity (MS2 quantitation) is a technique that has seen limited use due to the stochastic nature of data dependent acquisition (DDA). However, data independent acquisition has the potential to make large scale MS2 quantitation a more viable technique. In this study we used an implementation of data independent acquisition—SWATH—to perform label free protein quantitation in a model bacterium Clostridium stercorarium. Four tryptic digests analyzed by SWATH were probed by an ion library containing information on peptide mass and retention time obtained from DDA experiments. Application of this ion library to SWATH data quantified 1030 proteins with at least two peptides quantified (～40% of predicted proteins in the C. stercorarium genome) in each replicate. Quantitative results obtained were very consistent between biological replicates (R² ～ 0.960). Protein quantitation by summation of peptide fragment signal intensities was also highly consistent between biological replicates (R² ～ 0.930), indicating that this approach may have increased viability compared to recent applications in label free protein quantitation. SWATH based quantitation was able to consistently detect differences in relative protein quantity and it provided coverage for a number of proteins that were missed in some samples by DDA analysis.     

The early steps of endocytosis: from cargo selection to membrane deformation

Clathrin-mediated endocytosis mediates the internalization of signaling and nutrient receptors, ion channels and regulates the endocytic recycling of pre- and postsynaptic membrane proteins. During early stages endocytic adaptors recognize sorting signals within this diverse array of cargo proteins destined for internalization. Cargo sequestration is mechanistically coupled to membrane deformation, a process involving BAR domain proteins, resulting in the generation of endocytic intermediates that finally undergo dynamin-mediated fission. Here we summarize recent insights gathered from a combination of structural, biochemical, and cell biological studies that have revealed a remarkable complexity of the machinery for endocytic sorting and membrane deformation.     

Zinc coordination environments in proteins determine zinc functions.

Estimates of the number of zinc proteins in humans are now possible and a functional annotation of the zinc proteome can begin. The catalytic and structural roles of zinc in hundreds of enzymes and thousands of so-called "zinc finger" protein domains have provided a molecular basis for the numerous biological functions of this essential element. Additional, regulatory functions of zinc/protein interactions are being recognized. They include roles of the zinc ion in signal transduction, in controlling the architecture of protein complexes, and in redox-active zinc sites, where the binding and release of zinc is under redox control. Moreover, a considerable number of proteins participate in cellular zinc homeostasis, e.g. membrane transporters, and cellular storage, sensor, and trafficking proteins. These proteins have evolved with mechanisms to handle zinc ions rather specifically and selectively. They perform their functions with a remarkably modest set: One redox state of the zinc ion and nitrogen, oxygen, and sulfur ligands from the side chains of histidine, glutamate/aspartate, and cysteine, respectively. By permutation of the ligands in this set, the functional potential of the zinc ion has been fully explored. Different coordination environments modulate the chemical characteristics of the zinc ion, control the kinetics of its binding, and allow it to be either metabolically active or inert. Insights into all these functions are building an understanding of why zinc is so critical for such a multitude of life processes.     

In vitro synthesis and oligomerization of the mechanosensitive channel of large conductance, MscL, into a functional ion channel

Elucidation of high-resolution structures of integral membrane proteins is drastically lagging behind that of cytoplasmic proteins. In vitro synthesis and insertion of membrane proteins into synthetic membranes could circumvent bottlenecks associated with the overexpression of membrane proteins, producing sufficient membrane-inserted, correctly folded protein for structural studies. Using the mechanosensitive channel of large conductance, MscL, as a model protein we show that in vitro synthesized MscL inserts into YidC-containing proteoliposomes and oligomerizes to form a homopentamer. Using planar membrane bilayers, we show that MscL forms functional ion channels capable of ion transport. These data demonstrate that membrane insertion of MscL is YidC mediated, whereas subsequent oligomerization into a functional homopentamer is a spontaneous event.     

A structural classification of substrate-binding proteins

Substrate-binding proteins (SBP) are associated with a wide variety of protein complexes. The proteins are part of ATP-binding cassette transporters for substrate uptake, ion gradient driven transporters, DNA-binding proteins, as well as channels and receptors from both pro- and eukaryotes. A wealth of structural and functional data is available on SBPs, with over 120 unique entries in the Protein Data Bank (PDB). Over a decade ago these proteins were divided into three structural classes, but based on the currently available wealth of structural data, we propose a new classification into six clusters, based on features of their three-dimensional structure.     

Protein families and RNA recognition

This minireview series examines the structural principles underlying the biological function of RNA-binding proteins. The structural work of the last decade has elucidated the structures of essentially all the major RNA-binding protein families; it has also demonstrated how RNA recognition takes place. The ribosome structures have further integrated this knowledge into principles for the assembly of complex ribonucleoproteins. Structural and biochemical work has revealed unexpectedly that several RNA-binding proteins bind to other proteins in addition to RNA or instead of RNA. This tremendous increase in the structural knowledge has expanded not only our understanding of the RNA recognition principle, but has also provided new insight into the biological function of these proteins and has helped to design better experiments to understand their biological roles.     

Structure–function relationship in P-type ATPases—a biophysical approach

P-type ATPases are a large family of membrane proteins that perform active ion transport across biological membranes. In these proteins the energy-providing ATP hydrolysis is coupled to ion-transport that builds up or maintains the electrochemical potential gradients of one or two ion species across the membrane. P-type ATPases are found in virtually all eukaryotic cells and also in bacteria, and they are transporters of a broad variety of ions. So far, a crystal structure with atomic resolution is available only for one species, the SR Ca-ATPase. However, biochemical and biophysical studies provide an abundance of details on the function of this class of ion pumps. The aim of this review is to summarize the results of preferentially biophysical investigations of the three best-studied ion pumps, the Na,K-ATPase, the gastric H,K-ATPase, and the SR Ca-ATPase, and to compare functional properties to recent structural insights with the aim of contributing to the understanding of their structure–function relationship.     

Aggregation and fibrillization of prions in lipid membranes

A key molecular event in prion diseases is the conversion of PrP (prion protein) from its normal cellular form (PrP(c)) into the disease-specific form (PrP(Sc)). The transition from PrP(c) to PrP(Sc) involves a major conformational change, resulting in amorphous aggregates and/or fibrillar amyloid deposits. Here, we review several lines of evidence implicating membranes in the conversion of PrP, and summarize recent results from our own work on the role of lipid membranes in conformational transitions of prion proteins. By establishing new correlations between in vivo biological findings with in vitro biophysical results, we propose a role for lipid rafts in prion conversion, which takes into account the structural heterogeneity of PrP in different lipid environments.     

From structure to function: Route to understanding lncRNA mechanism

RNAs have emerged as a major target for diagnostics and therapeutics approaches. Regulatory nonprotein-coding RNAs (ncRNAs) in particular display remarkable versatility. They can fold into complex structures and interact with proteins, DNA, and other RNAs, thus modulating activity, localization, or interactome of multi-protein complexes. Thus, ncRNAs confer regulatory plasticity and represent a new layer of regulatory control. Interestingly, long noncoding RNAs (lncRNAs) tend to acquire complex secondary and tertiary structures and their function—in many cases—is dependent on structural conservation rather than primary sequence conservation. Whereas for many proteins, structure and its associated function are closely connected, for lncRNAs, the structural domains that determine functionality and its interactome are still not well understood. Numerous approaches for analyzing the structural configuration of lncRNAs have been developed recently. Here, will provide an overview of major experimental approaches used in the field, and discuss the potential benefit of using combinatorial strategies to analyze lncRNA modes of action based on structural information.     

Nucleotide switches in molecular motors: structural analysis of kinesins and myosins

Recent breakthroughs in the structural biology of cytoskeletal motor proteins show that two distinct families of motors--kinesins and myosins - use a similar mechanism of conformational switching for converting small structural changes in their nucleotide-binding sites into larger movements to provide force generation and motion. This mechanism is found to be similar to that employed by G proteins, the well-known molecular switches that regulate protein-protein interactions in many biological systems.     

The thermodynamics of protein interactions with essential first row transition metals

BackgroundThe binding of metal ions to proteins is a crucial process required for their catalytic activity, structural stability and/or functional regulation. Isothermal titration calorimetry provides a wealth of fundamental information which when combined with structural data allow for a much deeper understanding of the underlying molecular mechanism.Scope of reviewA rigorous understanding of any molecular interaction requires in part an in-depth quantification of its thermodynamic properties. Here, we provide an overview of recent studies that have used ITC to quantify the interaction of essential first row transition metals with relevant proteins and highlight major findings from these thermodynamic studies.General significanceThe thermodynamic characterization of metal ion–protein interactions is one important step to understanding the role that metal ions play in living systems. Such characterization has important implications not only to elucidating proteins' structure-function relationships and biological properties but also in the biotechnology sector, medicine and drug design particularly since a number of metal ions are involved in several neurodegenerative diseases.Major conclusionsIsothermal titration calorimetry measurements can provide complete thermodynamic profiles of any molecular interaction through the simultaneous determination of the reaction binding stoichiometry, binding affinity as well as the enthalpic and entropic contributions to the free energy change thus enabling a more in-depth understanding of the nature of these interactions. This article is part of a Special Issue entitled Microcalorimetry in the BioSciences — Principles and Applications, edited by Fadi Bou-Abdallah.     

Prion formation by a yeast GLFG nucleoporin

The self-assembly of proteins into higher order structures is both central to normal biology and a dominant force in disease. Certain glutamine/asparagine (Q/N)-rich proteins in the budding yeast Saccharomyces cerevisiae assemble into self-replicating amyloid-like protein polymers, or prions, that act as genetic elements in an entirely protein-based system of inheritance. The nuclear pore complex (NPC) contains multiple Q/N-rich proteins whose self-assembly has also been proposed to underlie structural and functional properties of the NPC. Here we show that an essential sequence feature of these proteins—repeating GLFG motifs—strongly promotes their self-assembly into amyloids with characteristics of prions. Furthermore, we demonstrate that Nup100 can form bona fide prions, thus establishing a previously undiscovered ability of yeast GLFG nucleoporins to adopt this conformational state in vivo.     

Computerized Interpretation of the Electron Ionization Mass Spectra of Nucleoside TMS Derivatives

Abstract

A computer program has been developed for the automated interpretation of mass spectra of TMS derivatives of nucleosides found in human urine. The m/z values in the unknown spectrum are compared to m/z values of 3 different ion series commonly observed in the mass spectra of nucleoside TMS derivatives.¹ If a correlation exists, the unknown spectra are marked with color according to the scheme: 1) blue—molecular ion series, 2) red—base ion series and 3) yellow—sugar ion series. The program suggests a structural assignment for each of the marked ions and calculates a series related ion current. The calculated ion current is used to assign the of sugar contained in the unknown nucleoside.     

Integral equation theories for predicting water structure around molecules

Water plays a crucial role in the structure and function of proteins and other biological macromolecules; thus, theories of aqueous solvation for these molecules are of great importance. However, water is a complex solvent whose properties are still not completely understood. Statistical mechanical integral equation theories predict the density distribution of water molecules around a solute so that all particles are fully represented and thus potentially both molecular and macroscopic properties are included. Here we discuss how several theoretical tools we have developed have been integrated into an integral equation theory designed for globular macromolecular solutes such as proteins. Our approach predicts the three-dimensional spatial and orientational distribution of water molecules around a solute. Beginning with a three-dimensional Ornstein-Zernike equation, a separation is made between a reference part dependent only on the spatial distribution of solvent and a perturbation part dependent also on the orientational distribution of solvent. The spatial part is treated at a molecular level by a modified hypernetted chain closure whereas the orientational part is treated as a Boltzmann prefactor using a quasi-continuum theory we developed for solvation of simple ions. A potential energy function for water molecules is also needed and the sticky dipole models of water, such as our recently developed soft-sticky dipole (SSD) model, are ideal for the proposed separation. Moreover, SSD water is as good as or better than three point models typically used for simulations of biological macromolecules in structural, dielectric and dynamics properties and yet is seven times faster in Monte Carlo and four times faster in molecular dynamics simulations. Since our integral equation theory accurately predicts results from Monte Carlo simulations for solvation of a variety of test cases from a single water or ion to ice-like clusters and ion pairs, the application of this theory to biological macromolecules is promising.