细胞色素b5-蛋白质相互作用研究

蛋白质-蛋白质相互作用在生命过程中发挥至关重要的作用,特别是血红素类蛋白。细胞色素b5(Cyt b5)是血红素蛋白的一个典型代表,在生物体内通过多种蛋白质-蛋白质相互作用来执行其生物功能。目前所揭示的与Cyt b5相关的蛋白质相互作用包括:细胞色素b5-细胞色素b5还原酶,细胞色素b5-细胞色素P450,细胞色素b5-细胞色素c,细胞色素b5-肌红蛋白或血红蛋白,细胞色素b5-融合蛋白(谷胱甘肽S-转移酶GST和绿色荧光蛋白GFP)和细胞色素b5-转运蛋白(蔗糖转运蛋白SUT1和山梨醇转运蛋白SOT6)等。同一蛋白能与众多不同蛋白相互作用的事实,使我们认识到某些特定蛋白的生物学重要性。另一方面,研究同一蛋白与不同蛋白质间的相互作用将会进一步加深我们对蛋白质结构与功能关系的理解,以及指导新颖蛋白的理性设计与最终应用。     

Unraveling the surface glycoprotein interaction network by integrating chemical crosslinking with MS-based proteomics

The cell plasma membrane provides a highly interactive platform for the information transfer between the inside and outside of cells. The surface glycoprotein interaction network is extremely important in many extracellular events, and aberrant protein interactions are closely correlated with various diseases including cancer. Comprehensive analysis of cell surface protein interactions will deepen our understanding of the collaborations among surface proteins to regulate cellular activity. In this work, we developed a method integrating chemical crosslinking, an enzymatic reaction, and MS-based proteomics to systematically characterize proteins interacting with surface glycoproteins, and then constructed the surfaceome interaction network. Glycans covalently bound to proteins were employed as “baits”, and proteins that interact with surface glycoproteins were connected using chemical crosslinking. Glycans on surface glycoproteins were oxidized with galactose oxidase (GAO) and sequentially surface glycoproteins together with their interactors (“prey”) were enriched through hydrazide chemistry. In combination with quantitative proteomics, over 300 proteins interacting with surface glycoproteins were identified. Many important domains related to extracellular events were found on these proteins. Based on the protein–protein interaction database, we constructed the interaction network among the identified proteins, in which the hub proteins play more important roles in the interactome. Through analysis of crosslinked peptides, specific interactors were identified for glycoproteins on the cell surface. The newly developed method can be extensively applied to study glycoprotein interactions on the cell surface, including the dynamics of the surfaceome interactions in cells with external stimuli.

Proteins interacting with glycoproteins on the cell surface were systematically characterized by integrating chemical crosslinking, enzymatic oxidation, and MS-based proteomics. The surface glycoprotein interaction network was then constructed.     

Structural analysis of the protein phosphatase 1 docking motif: molecular description of binding specificities identifies interacting proteins

The interplay between kinases and phosphatases represents a fundamental regulatory mechanism in biological systems. Being less numerous than kinases, phosphatases increase their diversity by the acquisition of a variety of binding partners, thereby forming a large number of holoenzymes. Proteins interacting with protein phosphatase 1 (PP1) often bind via a so-called docking motif to regulate its enzymatic activity, substrate specificity, and subcellular localization. Here, we systematically determined structural elements that mediate the binding specificity of PP1 interacting proteins, and propose a refined consensus sequence for high-affinity PP1 ligands. Applying this pattern to database searches, we predicted and experimentally confirmed several previously unknown PP1 interactors. Thus, the suggested PP1 docking motif enables a highly specific prediction of PP1 binding partners, thereby facilitating the genome-wide identification of PP1 interactors.     

Interaction proteomics of synapse protein complexes

The brain integrates complex types of information, and executes a wide range of physiological and behavioral processes. Trillions of tiny organelles, the synapses, are central to neuronal communication and information processing in the brain. Synaptic transmission involves an intricate network of synaptic proteins that forms the molecular machinery underlying transmitter release, activation, and modulation of transmitter receptors and signal transduction cascades. These processes are dynamically regulated and underlie neuroplasticity, crucial to learning and memory formation. In recent years, interaction proteomics has increasingly been used to elucidate the constituents of synaptic protein complexes. Unlike classic hypothesis-based assays, interaction proteomics detects both known and novel interactors without bias. In this trend article, we focus on the technical aspects of recent proteomics to identify synapse protein complexes, and the complementary methods used to verify the protein–protein interaction. Moreover, we discuss the experimental feasibility of performing global analysis of the synapse protein interactome.     

Investigation of protein–protein interactions in living cells by chemical crosslinking and mass spectrometry

The identification of protein–protein interactions within their physiological environment is the key to understanding biological processes at the molecular level. However, the artificial nature of in vitro experiments, with their lack of other cellular components, may obstruct observations of specific cellular processes. In vivo analyses can provide information on the processes within a cell that might not be observed in vitro. Chemical crosslinking combined with mass spectrometric analysis of the covalently connected binding partners allows us to identify interacting proteins and to map their interface regions directly in the cell. In this paper, different in vivo crosslinking strategies for deriving information on protein–protein interactions in their physiological environment are described.     

Plant volatiles: production, function and pharmacology

Plant volatiles typically occur as a complex mixture of low-molecular weight lipophilic compounds derived from different biosynthetic pathways, and are seemingly produced as part of a defense strategy against biotic and abiotic stress, as well as contributing to various physiological functions of the producer organism. The biochemistry and molecular biology of plant volatiles is complex, and involves the interplay of several biochemical pathways and hundreds of genes. All plants are able to store and emit volatile organic compounds (VOCs), but the process shows remarkable genotypic variation and phenotypic plasticity. From a physiological standpoint, plant volatiles are involved in three critical processes, namely plant–plant interaction, the signaling between symbiotic organisms, and the attraction of pollinating insects. Their role in these ‘‘housekeeping’’ activities underlies agricultural applications that range from the search for sustainable methods for pest control to the production of flavors and fragrances. On the other hand, there is also growing evidence that VOCs are endowed with a range of biological activities in mammals, and that they represent a substantially under-exploited and still largely untapped source of novel drugs and drug leads. This review summarizes recent major developments in the study of biosynthesis, ecological functions and medicinal applications of plant VOCs.     

Co-Chaperone Bag-1 Plays a Role in the Autophagy-Dependent Cell Survival through Beclin 1 Interaction

Expression levels of the major mammalian autophagy regulator Beclin 1 and its interaction with Bcl-2 regulate the switch between autophagic cell survival and apoptotic cell death pathways. However, some of the regulators and the precise mechanisms of these processes still remain elusive. Bag-1 (Bcl-2 associated athanogene-1), a member of BAG family proteins, is a multifunctional pro-survival molecule that possesses critical functions in vital cellular pathways. Herein, we report the role of Bag-1 on Bcl-2/Beclin 1 crosstalk through indirectly interacting with Beclin 1. Pull-down experiments suggested a molecular interaction between Bag-1 and Beclin 1 in breast cancer cell lines. On the other hand, in vitro binding assays showed that Bag-1/Beclin 1 interaction does not occur directly but occurs through a mediator molecule. Bag-1 interaction with p-Beclin 1 (T119), indicator of early autophagy, is increased during nutrient starvation suggesting involvement of Bag-1 in the autophagic regulation. Furthermore, CRISPR/Cas9-mediated Bag-1 knock-out in MCF-7 cells hampered cell survival and proliferation and resulted in decreased levels of total LC3 under starvation. Collectively, we suggest that Bag-1 modulates cell survival/death decision through maintaining macroautophagy as a component of Beclin 1-associated complexes.     

Genome-based proteomics

Protein-protein interactions play crucial roles in various biological pathways and functions. Therefore, the characterization of protein levels and also the network of interactions within an organism would contribute considerably to the understanding of life. The availability of the human genome sequence has created a range of new possibilities for biomedical research. A crucial challenge is to utilize the genetic information for better understanding of protein distribution and function in normal as well as in pathological biological processes. In this review, we have focused on different platforms used for systematic genome-based proteome analyses. These technologies are in many ways complementary and should be seen as various ways to elucidate different functions of the proteome.     

Identification of functional modules in a PPI network by clique percolation clustering

Large-scale experiments and data integration have provided the opportunity to systematically analyze and comprehensively understand the topology of biological networks and biochemical processes in cells. Modular architecture which encompasses groups of genes/proteins involved in elementary biological functional units is a basic form of the organization of interacting proteins. Here we apply a graph clustering algorithm based on clique percolation clustering to detect overlapping network modules of a protein–protein interaction (PPI) network. Our analysis of the yeast Sacchromyces cerevisiae suggests that most of the detected modules correspond to one or more experimentally functional modules and half of these annotated modules match well with experimentally determined protein complexes. Our method of analysis can of course be applied to protein–protein interaction data for any species and even other biological networks.     

蛋白质相互作用的研究方法

生物体的生理功能主要由细胞中的蛋白质控制和调节。其中,多数蛋白质是通过与配体结合或是作为蛋白质复合物中的一部分参与细胞的代谢过程。因此,研究蛋白质间的相互作用是理解生命活动的基础。本文对现有蛋白质相互作用的研究方法和技术进行了评述。     

Multinanoparticle Translocations in Phospholipid Membranes:Translocation Modes and Dynamic Processes

Multinanoparticles interacting with the phospholipid membranes in solution were studied by dissipative particle dynamics simulation. The selected nanoparticles have spherical or cylindrical shapes, and they have various initial velocities in the dynamical processes. Several translocation modes are defined according to their characteristics in the dynamical processes, in which the phase diagrams are constructed based on the interaction strengths between the particles and membranes and the initial velocities of particles. Furthermore, several parameters, such as the system energy and radius of gyration, are investigated in the dynamical processes for the various translocation modes. Results elucidate the effects of multiparticles interacting with the membranes in the biological processes.     

奇异变形杆菌中赖氨酸-2-羟基异丁酰化蛋白的分析

蛋白质的赖氨酸修饰广泛参与基因调控、转录、代谢等重要的生物过程。在真核细胞组蛋白上发现了一种新的赖氨酸修饰--2-羟基异丁酰化,这种修饰对于生殖细胞分化具有调控功能。该研究旨在探索这种修饰在原核生物非组蛋白中的特征。通过亲和富集、高效液相色谱-串联质谱鉴定和生物信息学分析,在奇异变形杆菌中鉴定到大量未见报道的2-羟基异丁酰化蛋白及其位点,进而考察了原核生物中2-羟基异丁酰化修饰蛋白的分布特征、分子网络和通路特点。研究表明,赖氨酸-2-羟基异丁酰化在原核生物中具有广泛的分布,其生物学意义值得进一步研究。     

Proteomic Identification Network Analysis of Haptoglobin as a Key Regulator Associated with Liver Fibrosis

Liver fibrosis (LF) is the final stage of liver dysfunction, characterized by diffuse fibrosis which is the main response to the liver injury. Haptoglobin (HP) protein, produced as an acute phase reactant during LF, preventing liver damage, may be potential molecular targets for early LF diagnostics and therapeutic applications. However, protein networks associated with the HP are largely unknown. To address this issue, we used a pathological mouse model of LF that was induced by treatment with carbon tetrachloride for 8 days. HP protein was separated and identified by two-dimensional gel electrophoresis and matrix-assisted laser desorption/ionization time-of-flight/time-of-flight mass spectrometry. HP protein was subjected to functional pathway analysis using STRING and Cytoscape software for better understanding of the protein–protein interaction (PPI) networks in biological context. Bioinformatics analyses revealed that HP expression associated with fibrosis was upregulated, and suggested that HP responsible for fibrosis may precede the onset and progression of LF. Using the web-based database, functional pathway analysis suggested the modulation of multiple vital physiological pathways, including antioxidation immunity, signal transduction, metabolic process, energy production, cell apoptosis, oxidation reduction, DNA repair process, cell communication, and regulation of cellular process. The generation of protein interaction networks clearly enhances the interpretation and understanding of the molecular mechanisms of HP. HP protein represents targets for further experimental investigation that will provide biological insight and potentially could be exploited for novel therapeutic approaches to combat LF.     

Recent advances in the study of biopolymers

In describing some of the macromolecular characteristics of the nucleic acids, particularly DNA, and of representative proteins, the following aspects are discussed: computer-assisted modeling as a useful tool for depicting the three-dimensional structures and macromolecular characteristics of biopolymers; conformational flexibility in biopolymers; parameters determining protein recognition; and the importance of the three-dimensional structure of antibodies, enzymes, receptors, ion channels, and proteins interacting with nucleic acids, in determining their characteristic biological functions. Many of the problems raised by molecular biologists concerning the mode of action of biopolymers could be tackled by polymer chemists, because of their experience in dealing theoretically as well as experimentally with synthetic and native high molecular weight compounds.     

Single-Molecule Photoactivation FRET: A General and Easy-To-Implement Approach To Break the Concentration Barrier

Single-molecule fluorescence resonance energy transfer (sm-FRET) has become a widely used tool to reveal dynamic processes and molecule mechanisms hidden under ensemble measurements. However, the upper limit of fluorescent species used in sm-FRET is still orders of magnitude lower than the association affinity of many biological processes under physiological conditions. Herein, we introduce single-molecule photoactivation FRET (sm-PAFRET), a general approach to break the concentration barrier by using photoactivatable fluorophores as donors. We demonstrate sm-PAFRET by capturing transient FRET states and revealing new reaction pathways during translation using μm fluorophore labeled species, which is 2–3 orders of magnitude higher than commonly used in sm-FRET measurements. sm-PAFRET serves as an easy-to-implement tool to lift the concentration barrier and discover new molecular dynamic processes and mechanisms under physiological concentrations.     

A proximity labeling method for protein–protein interactions on cell membrane

Antibodies targeting specific antigens are widely utilized in biological research to investigate protein interactions or to quantify target antigens. Here, we introduce antigen–antibody proximity labeling (AAPL), a novel method to map the antigen interaction sites as well as interactors of antibody-targeted proteins. As a proof of concept, AAPL was demonstrated using sodium/potassium transporting ATPase (ATP1A1) and epidermal growth factor receptor 2 (ERBB2)-specific antibodies that were modified with an Fe(iii) catalytic probe. Once bound to their target proteins, Fe(iii)-induced catalytic oxidation occurred in proximity of the antigen''s epitope. Oxidative proteomic analysis was then used to determine the degree of oxidation, the site of oxidation within the targeted antigen, and the interacting proteins that were in close proximity to the targeted antigen. An AAPL score was generated for each protein yielding the specificity of the oxidation and proximity of the interacting protein to the target antigen. As a final demonstration of its utility, the AAPL approach was applied to map the interactors of liver–intestine-cadherin (CDH17) in colon cancer cells.

Modified catalytic antibodies targeting specific antigens are employed to investigate protein interactions and antigen interaction sites.     

Comparative proteomic analysis of round and elongated spermatids during spermiogenesis in mice

Spermiogenesis in mammals is an exclusive process during which haploid round spermatids mature into spermatozoa in the testis. Any abnormality in the process of spermiogenesis may result in male infertility. The aim of the present study was to characterize the differentially expressed proteins between round and elongated spermatids in mice using label-free quantitative mass spectrometry. Of the 2411 proteins identified in this study, 333 were differentially expressed with a ≥10-fold change, including 208 upregulated proteins and 125 downregulated proteins in round spermatids relative to elongated spermatids. Gene Ontology analysis showed that these differentially expressed proteins were categorized into 10 types of subcellular localizations, 9 molecular functions, and were involved in 9 biological processes. All the identified proteins participated in 268 different pathways. In addition, ubiquitin-mediated proteolysis and the proteasome pathway, autophagy, lysosome, and apoptosis pathways were involved in the mechanism of spermiogenesis. Our data may provide valuable information for a better understanding of spermiogenesis and help improve the diagnosis and treatment of male factor infertility.