Structure and flexibility of individual immunoglobulin G molecules in solution

In contrast to averaging methods of determining structure, such as X-ray diffraction, NMR, and single-particle tomography, cryo-electron tomography allows three-dimensional imaging of an individual object in solution. The method has previously been used to study cells and very large macromolecules. We have used cryo-electron tomography to analyze a monoclonal IgG, with a molecular weight of only 150 kDa. Tomograms reveal y-shaped IgG molecules with three protruding subunits. Docking X-ray structures enabled us to recognize the three subunits as two ellipsoidal Fab arms and a heart-shaped Fc stem. Each subunit has a similar structure in the tomograms and in the X-ray map. Notably, the positions of the Fab arms relative to the Fc stem differed greatly from one molecule to another. The large flexibility of IgG in solution is most likely of functional significance in antigen recognition. This distribution of individual structures provides a qualitative insight into the system dynamics.     

Zernike phase contrast cryo-electron tomography of whole mounted frozen cells

Cryo-electron tomography of frozen hydrated cells has provided cell biologists with an indispensable tool for delineating three-dimensional arrangements of cellular ultrastructure. To avoid the damage induced by electron irradiation, images of frozen hydrated biological specimens are generally acquired under low-dose conditions, resulting in weakly contrasted images that are difficult to interpret, and in which ultrastructural details remain ambiguous. Zernike phase contrast transmission electron microscopy can improve contrast, and can also fix a fatal problem related to the inherent low contrast of conventional electron microscopy, namely, image modulation due to the unavoidable setting of deep defocus. In this study, we applied cryo-electron tomography enhanced with a Zernike phase plate, which avoids image modulation by allowing in-focus setting. The Zernike phase contrast cryo-electron tomography has a potential to suppress grainy background generation. Due to the smoother background in comparison with defocus phase contrast cryo-electron tomography, Zernike phase contrast cryo-electron tomography could yield higher visibility for particulate or filamentous ultrastructure inside the cells, and allowed us to clearly recognize membrane protein structures.     

Ion-dependent DNA configuration in bacteriophage capsids

Bacteriophages densely pack their long double-stranded DNA genome inside a protein capsid. The conformation of the viral genome inside the capsid is consistent with a hexagonal liquid crystalline structure. Experiments have confirmed that the details of the hexagonal packing depend on the electrochemistry of the capsid and its environment. In this work, we propose a biophysical model that quantifies the relationship between DNA configurations inside bacteriophage capsids and the types and concentrations of ions present in a biological system. We introduce an expression for the free energy that combines the electrostatic energy with contributions from bending of individual segments of DNA and Lennard-Jones-type interactions between these segments. The equilibrium points of this energy solve a partial differential equation that defines the distributions of DNA and the ions inside the capsid. We develop a computational approach that allows us to simulate much larger systems than what is possible using the existing molecular-level methods. In particular, we are able to estimate bending and repulsion between the DNA segments as well as the full electrochemistry of the solution, both inside and outside of the capsid. The numerical results show good agreement with existing experiments and with molecular dynamics simulations for small capsids.     

Structural basis of actin filament capping at the barbed-end: a cryo-electron microscopy study

The intracellular distribution and migration of many protein complexes and organelles is regulated by the dynamics of the actin filament. Many actin filament end-binding proteins play crucial roles in actin dynamics, since polymerization and depolymerization of actin protomers occur only at the filament ends. We present here an EM structure of the complex of the actin filament and hetero-dimeric capping protein (CP) bound to the barbed-end at 23 A resolution, by applying a newly developed methods of image analysis to cryo-electron micrographs. This structure was fitted by the crystal structure of CP and the proposed actin filament structure, allowing us to construct a model that depicts two major binding regions between CP and the barbed-end. This binding scheme accounted for the results of newly performed and previously published mutation experiments, and led us to propose a two-step binding model. This is the first determination of an actin filament end structure.     

Understanding Biases in Ribosome Profiling Experiments Reveals Signatures of Translation Dynamics in Yeast

Ribosome profiling produces snapshots of the locations of actively translating ribosomes on messenger RNAs. These snapshots can be used to make inferences about translation dynamics. Recent ribosome profiling studies in yeast, however, have reached contradictory conclusions regarding the average translation rate of each codon. Some experiments have used cycloheximide (CHX) to stabilize ribosomes before measuring their positions, and these studies all counterintuitively report a weak negative correlation between the translation rate of a codon and the abundance of its cognate tRNA. In contrast, some experiments performed without CHX report strong positive correlations. To explain this contradiction, we identify unexpected patterns in ribosome density downstream of each type of codon in experiments that use CHX. These patterns are evidence that elongation continues to occur in the presence of CHX but with dramatically altered codon-specific elongation rates. The measured positions of ribosomes in these experiments therefore do not reflect the amounts of time ribosomes spend at each position in vivo. These results suggest that conclusions from experiments in yeast using CHX may need reexamination. In particular, we show that in all such experiments, codons decoded by less abundant tRNAs were in fact being translated more slowly before the addition of CHX disrupted these dynamics.     

Use of cryo-negative staining in tomographic reconstruction of biological objects: application to T4 bacteriophage

Recent advances in electron microscopy and image analysis techniques have resulted in the development of tomography, which makes possible the study of structures neither accessible to X-ray crystallography nor nuclear magnetic resonance. However, the use of tomography to study biological structures, ranging from 100 to 500 nm, requires developments in sample preparation and image analysis. Indeed, cryo-electron tomography present two major drawbacks: the low contrast of recorded images and the sample radiation damage. In the present work we have tested, on T4 bacteriophage samples, the use of a new preparation technique, cryo-negative staining, which reduces the radiation damage while preserving a high signal-to-noise ratio. Our results demonstrate that the combination of cryo-negative staining in tomography with standard cryo-microscopy and single particle analysis results in a methodological approach that could be useful in the study of biological structures ranging in the T4 bacteriophage size.     

Interaction of antibodies with liposomes bearing fluorescent haptens

Kinetic and equilibrium aspects of the recognition of antigenic model membranes by antibodies have been studied. Monoclonal anti-fluorescein IgG and its monovalent Fab fragment were allowed to interact with a fluorescein-lipid hapten that was incorporated into phospholipid vesicles. The binding was assayed in the nanomolar hapten concentration range by monitoring the quenching of hapten fluorescence by antibody. The rate and strength of the binding depended on the lipid composition of the vesicles; cholesterol enhanced both. The biphasic binding kinetics observed at high antibody concentrations for some compositions, plus additional spectroscopic evidence, led us to hypothesize that the hapten existed in a composition-dependent equilibrium between at least two conformations: (1) extended away from the membrane surface, available for binding, and (2) sequestered at or in the surface, unavailable for binding. The rate and strength of IgG binding were always greater than those of Fab, indicating bivalent binding by the IgG. This binding was intra-vesicular, since no agglutination of the vesicles was detected.     

Antibody–receptor interactions mediate antibody-dependent cellular cytotoxicity

Binding of antibodies to their receptors is a core component of the innate immune system. Understanding the precise interactions between antibodies and their Fc receptors has led to the engineering of novel mAb biotherapeutics with tailored biological activities. One of the most significant findings is that afucosylated monoclonal antibodies demonstrate increased affinity toward the receptor FcγRIIIa, with a commensurate increase in antibody-dependent cellular cytotoxicity. Crystal structure analysis has led to the hypothesis that afucosylation in the Fc region results in reduced steric hindrance between antibody–receptor intermolecular glycan interactions, enhancing receptor affinity; however, solution-phase data have yet to corroborate this hypothesis. In addition, recent work has shown that the fragment antigen-binding (Fab) region may directly interact with Fc receptors; however, the biological consequences of these interactions remain unclear. By probing differences in solvent accessibility between native and afucosylated immunoglobulin G1 (IgG1) using hydroxyl radical footprinting–MS, we provide the first solution-phase evidence that an IgG1 bearing an afucosylated Fc region appears to require fewer conformational changes for FcγRIIIa binding. In addition, we performed extensive molecular dynamics (MD) simulations to understand the molecular mechanism behind the effects of afucosylation. The combination of these techniques provides molecular insight into the steric hindrance from the core Fc fucose in IgG1 and corroborates previously proposed Fab–receptor interactions. Furthermore, MD-guided rational mutagenesis enabled us to demonstrate that Fab–receptor interactions directly contribute to the modulation of antibody-dependent cellular cytotoxicity activity. This work demonstrates that in addition to Fc–polypeptide and glycan-mediated interactions, the Fab provides a third component that influences IgG–Fc receptor biology.     

生物三维电子显微学进入全新高速发展时期

生物三维电子显微学主要由三个部分组成——电子晶体学、单颗粒技术和电子断层成像术,其结构解析对象的尺度范围介于x射线晶体学与光学显微镜之间,适合从蛋白质分子结构到细胞和组织结构的解析。以冷冻电镜技术与三维重构技术为基础的低温电子显微学代表了生物电子显微学的前沿。低温单颗粒技术对于高度对称的病毒颗粒的解析最近已达到3．8A分辨率,正在成为解析分子量很大的蛋白质复合体高分辨结构的有效技术手段。低温电子断层成像技术目前对于真核细胞样品的结构解析已达到约40A的分辨率,在今后5年有望达到20A。这样,把x射线晶体学、NMR以及电镜三维重构获得的蛋白质分子及复合体的高分辨率的结构,锚定到较低分辨率的电子断层成像图像中,从而在细胞水平上获得高精确的蛋白质空间定位和原子分辨率的蛋白质相互作用的结构信息。这将成为把分子水平的结构研究与细胞水平的生命活动衔接起来的可行途径。     

IgG subclass expression by human B lymphocytes and plasma cells: B lymphocytes precommitted to IgG subclass can be preferentially induced by polyclonal mitogens with T cell help

The human IgG subclasses expressed by circulating B lymphocytes, tissue plasma cells, and plasma cells generated from B cell precursors in response to the polyclonal mitogens LPS and PWM were examined by immunofluorescence using subclass-specific monoclonal antibodies. The subclass distribution observed for circulating B lymphocytes was IgG2 (48%) greater than IgG1 (40%) greater than IgG3 (8%) greater than IgG4 (1%), while the distribution among IgG plasma cells in bone marrow, blood, spleen, and tonsils was IgG1 (64%) greater than IgG2 (26%) greater than IgG3 (8%) greater than IgG4 (1%). Multiple IgG isotypes were not observed on B cells or in plasma cells. Although IgG plasma cell responses to both LPS and PWM were T cell dependent, the distributions of IgG subclasses elicited were strikingly different. In control and LPS-stimulated cultures of blood mononuclear cells, the induced plasma cells expressed the IgG subclass distribution: IgG2 greater than 80%, IgG1 less than 20%, IgG3 less than 1%, IgG4 less than 1%. In PWM-stimulated cultures, the subclass distribution, IgG1 approximately 65%, IgG2 approximately 25%, IgG3 approximately 7%, IgG4 approximately 1%, was in perfect concordance with the in vivo subclass distribution of IgG plasma cells. Selective inhibition of suppressor T cell activity by x-irradiation and mitomycin C treatment did not alter the IgG subclass distribution pattern induced by LPS and PWM. Monoclonal antibodies were used to deplete selectively the B cell precursors bearing IgG1, IgG2, or IgG3 before PWM stimulation of blood mononuclear cells. In each instance, a reduction was observed only in the subpopulation of plasma cells producing the homologous IgG subclass. The results indicate that T cells can preferentially influence the terminal differentiation of B cells that are precommitted to different IgG subclasses.     

Integrating experimental data with molecular simulations to investigate RNA structural dynamics

Conformational dynamics is crucial for ribonucleic acid (RNA) function. Techniques such as nuclear magnetic resonance, cryo-electron microscopy, small- and wide-angle X-ray scattering, chemical probing, single-molecule Förster resonance energy transfer, or even thermal or mechanical denaturation experiments probe RNA dynamics at different time and space resolutions. Their combination with accurate atomistic molecular dynamics (MD) simulations paves the way for quantitative and detailed studies of RNA dynamics. First, experiments provide a quantitative validation tool for MD simulations. Second, available data can be used to refine simulated structural ensembles to match experiments. Finally, comparison with experiments allows for improving MD force fields that are transferable to new systems for which data is not available. Here we review the recent literature and provide our perspective on this field.     

Dynamics of lysozyme structure network: probing the process of unfolding

Recently we showed that the three-dimensional structure of proteins can be investigated from a network perspective, where the amino acid residues represent the nodes in the network and the noncovalent interactions between them are considered for the edge formation. In this study, the dynamical behavior of such networks is examined by considering the example of T4 lysozyme. The equilibrium dynamics and the process of unfolding are followed by simulating the protein at 300 K and at higher temperatures (400 K and 500 K), respectively. The snapshots of the protein structure from the simulations are represented as protein structure networks in which the strength of the noncovalent interactions is considered an important criterion in the construction of edges. The profiles of the network parameters, such as the degree distribution and the size of the largest cluster (giant component), were examined as a function of interaction strength at different temperatures. Similar profiles are seen at all the temperatures. However, the critical strength of interaction (Icritical) and the size of the largest cluster at all interaction strengths shift to lower values at 500 K. Further, the folding/unfolding transition is correlated with contacts evaluated at Icritical and with the composition of the top large clusters obtained at interaction strengths greater than Icritical. Finally, the results are compared with experiments, and predictions are made about the residues, which are important for stability and folding. To summarize, the network analysis presented in this work provides insights into the details of the changes occurring in the protein tertiary structure at the level of amino acid side-chain interactions, in both the equilibrium and the unfolding simulations. The method can also be employed as a valuable tool in the analysis of molecular dynamics simulation data, since it captures the details at a global level, which may elude conventional pairwise interaction analysis.     

Construction and organization of a BSL-3 cryo-electron microscopy laboratory at UTMB

A unique cryo-electron microscopy facility has been designed and constructed at the University of Texas Medical Branch (UTMB) to study the three-dimensional organization of viruses and bacteria classified as select agents at biological safety level (BSL)-3, and their interactions with host cells. A 200 keV high-end cryo-electron microscope was installed inside a BSL-3 containment laboratory and standard operating procedures were developed and implemented to ensure its safe and efficient operation. We also developed a new microscope decontamination protocol based on chlorine dioxide gas with a continuous flow system, which allowed us to expand the facility capabilities to study bacterial agents including spore-forming species. The new unified protocol does not require agent-specific treatment in contrast to the previously used heat decontamination. To optimize the use of the cryo-electron microscope and to improve safety conditions, it can be remotely controlled from a room outside of containment, or through a computer network world-wide. Automated data collection is provided by using JADAS (single particle imaging) and SerialEM (tomography). The facility has successfully operated for more than a year without an incident and was certified as a select agent facility by the Centers for Disease Control.     

Extracting dynamics from static cancer expression data

Static expression experiments analyze samples from many individuals. These samples are often snapshots of the progression of a certain disease such as cancer. This raises an intriguing question: Can we determine a temporal order for these samples? Such an ordering can lead to better understanding of the dynamics of the disease and to the identification of genes associated with its progression. In this paper we formally prove, for the first time, that under a model for the dynamics of the expression levels of a single gene, it is indeed possible to recover the correct ordering of the static expression datasets by solving an instance of the traveling salesman problem (TSP). In addition, we devise an algorithm that combines a TSP heuristic and probabilistic modeling for inferring the underlying temporal order of the microarray experiments. This algorithm constructs probabilistic continuous curves to represent expression profiles leading to accurate temporal reconstruction for human data. Applying our method to cancer expression data we show that the ordering derived agrees well with survival duration. A classifier that utilizes this ordering improves upon other classifiers suggested for this task. The set of genes displaying consistent behavior for the determined ordering are enriched for genes associated with cancer progression.     

Cryo-electron tomography and 3-D analysis of the intact flagellum in Trypanosoma brucei

Trypanosoma brucei is a uni-cellular protist that causes African sleeping sickness. These parasites have a flagellum that is attached to the cell body and is indispensible for its motility. The flagellum consists of a canonical 9+2 axoneme and a paraflagellar rod (PFR), an intricate tripartite, fibrous structure that is connected to the axoneme. In this paper we describe results from cryo-electron tomography of unperturbed flagella. This method revealed novel structures that are likely involved in attaching the flagellum to the cell. We also show the first cryo-electron tomographic images of a basal body in situ, revealing electron dense structures inside its triplet microtubules. Sub-tomogram averaging of the PFR revealed that its distal region is organized as an orthorhombic crystal.     

The future is cold: cryo-preparation methods for transmission electron microscopy of cells

Our knowledge of the organization of the cell is linked, to a great extent, to light and electron microscopy. Choosing either photons or electrons for imaging has many consequences on the image obtained, as well as on the experiment required in order to generate the image. One apparent effect on the experimental side is in the sample preparation, which can be quite elaborate for electron microscopy. In recent years, rapid freezing, cryo-preparation and cryo-electron microscopy have been more widely used because they introduce fewer artefacts during preparation when compared with chemical fixation and room temperature processing. In addition, cryo-electron microscopy allows the visualization of the hydrated specimens. In the present review, we give an introduction to the rapid freezing of biological samples and describe the preparation steps. We focus on bulk samples that are too big to be directly viewed under the electron microscope. Furthermore, we discuss the advantages and limitations of freeze substitution and cryo-electron microscopy of vitreous sections and compare their application to the study of bacteria and mammalian cells and to tomography.     

A free energy principle for the brain.

By formulating Helmholtz's ideas about perception, in terms of modern-day theories, one arrives at a model of perceptual inference and learning that can explain a remarkable range of neurobiological facts: using constructs from statistical physics, the problems of inferring the causes of sensory input and learning the causal structure of their generation can be resolved using exactly the same principles. Furthermore, inference and learning can proceed in a biologically plausible fashion. The ensuing scheme rests on Empirical Bayes and hierarchical models of how sensory input is caused. The use of hierarchical models enables the brain to construct prior expectations in a dynamic and context-sensitive fashion. This scheme provides a principled way to understand many aspects of cortical organisation and responses. In this paper, we show these perceptual processes are just one aspect of emergent behaviours of systems that conform to a free energy principle. The free energy considered here measures the difference between the probability distribution of environmental quantities that act on the system and an arbitrary distribution encoded by its configuration. The system can minimise free energy by changing its configuration to affect the way it samples the environment or change the distribution it encodes. These changes correspond to action and perception respectively and lead to an adaptive exchange with the environment that is characteristic of biological systems. This treatment assumes that the system's state and structure encode an implicit and probabilistic model of the environment. We will look at the models entailed by the brain and how minimisation of its free energy can explain its dynamics and structure.     

Structural Dynamics of Glutamate Signaling Systems by smFRET

Single-molecule Förster resonance energy transfer (smFRET) is a powerful technique for investigating the structural dynamics of biological macromolecules. smFRET reveals the conformational landscape and dynamic changes of proteins by building on the static structures found using cryo-electron microscopy, x-ray crystallography, and other methods. Combining smFRET with static structures allows for a direct correlation between dynamic conformation and function. Here, we discuss the different experimental setups, fluorescence detection schemes, and data analysis strategies that enable the study of structural dynamics of glutamate signaling across various timescales. We illustrate the versatility of smFRET by highlighting studies of a wide range of questions, including the mechanism of activation and transport, the role of intrinsically disordered segments, and allostery and cooperativity between subunits in biological systems responsible for glutamate signaling.     

SLE血清中抗-DNA抗体分离和性质的研究

本文用国产高分子树脂(T)接枝小牛胸腺DNA,通过亲合层析从系统性红斑狼疮SLE患者血清中纯化出抗-ds DNA抗体和抗-ss DNA抗体。酶联免疫吸附分析(ELISA)的研究表明:SLE抗-DNA抗体和DNA结合的差异性很大,是高度非均一性的。抗-ss DNA抗体不仅组成成分比抗-ds DNA抗体复杂,ss DNA/抗-ssDNA亲合能力也明显高于ds DNA/抗-ds DNA。纯化的抗-DNA抗体以IgG类抗体占主导,同时也有其它类型抗体存在(例如IgM等)。抗-ds DNA抗体有较抗-ss DNA抗体高的IgG含量(两者的IgG/IgM分别是7.0和4.0),说明IgG抗-DNA抗体更倾向于同dsDNA结合。     

Structure of the nuclear pore complex goes atomic

The nuclear pore complex (NPC) is a supra-molecular assembly that mediates substance and information flow across the nuclear envelope (NE). Due to its extraordinary size and complexity, the NPC remains one of the most challenging tasks in structural elucidation at atomic resolution. Recent breakthroughs in cryo-electron microscopy (cryo-EM) reconstruction, Machine Learning empowered structure prediction and biochemical reconstitution have combined to yield molecular models of the NPC at unprecedented accuracy. Furthermore, in cellulo cryo-electron tomography (cryo-ET) structures reveal substantial structural dynamics of the NPC. These advances shed light on the organizational principles and functions of the NPC.