Identification,evolution,expression and protein interaction analysis of genes encoding B-box zinc-finger proteins in maize

The B-box(BBX)family of proteins consists of zinc-finger transcription factors with one or two highly conserved B-box motifs at their N-termini.BBX proteins play crucial roles in various aspects of plant growth and development,including seedling photomorphogenesis,shade avoidance,flowering time,and biotic and abiotic stress responses.Previous studies have identified many different BBXs from several plant species,although the BBX family members in maize are largely unknown.Genome-wide identification and comprehensive analysis of maize BBX(ZmBBX)expression and interaction networks would therefore provide valuable information for understanding their functions.In this study,36 maize BBXs in three major clades were identified.The ZmBBXs within a given clade were found to share similar domains,motifs,and genomic structures.Gene duplication analyses revealed that the expansion of BBX proteins in maize has mainly occurred by segmental duplication.The expression levels of ZmBBXs were analyzed in various organs and tissues,and under different abiotic stress conditions.Protein–protein interaction networks of ZmBBXs were established using bioinformatic tools and verified by bimolecular fluorescence complementation(BiFC)assays.Our findings can facilitate a greater understanding of the complexity of the ZmBBX family and provide novel clues for unravelling ZmBBX protein functions.

Construction of gene/protein interaction networks and enrichment pathway analysis for paroxysmal nocturnal hemoglobinuria and aplastic anemia

Background:To develop a protein-protein interaction network of Paroxysmal nocturnal hemoglobinuria(PNH)and Aplastic anemia(AA)based on genetic genes and to predict pathways underlying the molecular complexes in the network.Methods:In this research,the PNH and AA-related genes were screened through Online Mendelian Inheritance in Man(OMIM).The plugins and Cytoscape were used to search literature and build a protein-protein interaction network.Results:The protein-protein interaction network contains two molecular complexes that are five higher than the correlation integral values.The target genes of this study were obtained:CD59,STAT3,TERC,TNF,AKT1,C5AR1,EPO,IL6,IL10 and so on.We also found that many factors regulate biological behaviors:neutrophils,macrophages,vascular endothelial growth factor,immunoglobulin,interleukin,cytokine receptor,interleukin-6 receptor,tumor necrosis factor,and so on.This research provides a bioinformatics foundation for further explaining the mechanism of common development of both.Conclusion:This indicates that the PNH and AA is a complex process regulated by many cellular pathways and multiple genes.

Small molecules targeting protein-protein interactions for cancer therapy

Protein-protein interactions(PPIs)are fundamental to many biological processes that play an important role in the occurrence and development of a variety of diseases.Targeting the interaction between tumour-related proteins with emerging small molecule drugs has become an attractive approach for treatment of human diseases,especially tumours.Encouragingly,selective PPI-based therapeutic agents have been rapidly advancing over the past decade,providing promising perspectives for novel therapies for patients with cancer.In this review we comprehensively clarify the discovery and development of small molecule modulators of PPIs from multiple aspects,focusing on PPIs in disease,drug design and discovery strategies,structure-activity relationships,inherent dilemmas,and future directions.

Drug discovery by targeting the protein–protein interactions involved in autophagy

Autophagy is a cellular process in which proteins and organelles are engulfed in autophagosomal vesicles and transported to the lysosome/vacuole for degradation.Protein–protein interactions(PPIs)play a crucial role at many stages of autophagy,which present formidable but attainable targets for autophagy regulation.Moreover,selective regulation of PPIs tends to have a lower risk in causing undesired off-target effects in the context of a complicated biological network.Thus,small-molecule regulators,including peptides and peptidomimetics,targeting the critical PPIs involved in autophagy provide a new opportunity for innovative drug discovery.This article provides general background knowledge of the critical PPIs involved in autophagy and reviews a range of successful attempts on discovering regulators targeting those PPIs.Successful strategies and existing limitations in this field are also discussed.

Protein-mediated interactions in the dynamic regulation of acute inflammation

Protein-mediated interactions are the fundamental mechanism through which cells regulate health and disease.These interactions require physical contact between proteins and their respective targets of interest.These targets include not only other proteins but also nucleic acids and other important molecules as well.These proteins are often involved in multibody complexes that work dynamically to regulate cellular health and function.Various techniques have been adapted to study these important interactions,such as affinity-based assays,mass spectrometry,and fluorescent detection.The application of these techniques has led to a greater understanding of how protein interactions are responsible for both the instigation and resolution of acute inflammatory diseases.These pursuits aim to provide opportunities to target specific protein interactions to alleviate acute inflammation.

Essential proteins identification method based on four-order distances and subcellular localization information

Essential proteins are inseparable in cell growth and survival. The study of essential proteins is important for understanding cellular functions and biological mechanisms. Therefore, various computable methods have been proposed to identify essential proteins. Unfortunately, most methods based on network topology only consider the interactions between a protein and its neighboring proteins, and not the interactions with its higher-order distance proteins. In this paper, we propose the DSEP algorithm in which we integrated network topology properties and subcellular localization information in protein–protein interaction(PPI) networks based on four-order distances, and then used random walks to identify the essential proteins. We also propose a method to calculate the finite-order distance of the network, which can greatly reduce the time complexity of our algorithm. We conducted a comprehensive comparison of the DSEP algorithm with 11 existing classical algorithms to identify essential proteins with multiple evaluation methods. The results show that DSEP is superior to these 11 methods.

AAV mediated carboxyl terminus of Hsp70 interacting protein overexpression mitigates the cognitive and pathological phenotypes of APP/PS1 mice

The E3 ubiquitin ligase,carboxyl terminus of heat shock protein 70(Hsp70)interacting protein(CHIP),also functions as a co-chaperone and plays a crucial role in the protein quality control system.In this study,we aimed to investigate the neuroprotective effect of overexpressed CHIP on Alzheimer’s disease.We used an adeno-associated virus vector that can cross the blood-brain barrier to mediate CHIP overexpression in APP/PS1 mouse brain.CHIP overexpression significantly ameliorated the performance of APP/PS1 mice in the Morris water maze and nest building tests,reduced amyloid-βplaques,and decreased the expression of both amyloid-βand phosphorylated tau.CHIP also alleviated the concentration of microglia and astrocytes around plaques.In APP/PS1 mice of a younger age,CHIP overexpression promoted an increase in ADAM10 expression and inhibitedβ-site APP cleaving enzyme 1,insulin degrading enzyme,and neprilysin expression.Levels of HSP70 and HSP40,which have functional relevance to CHIP,were also increased.Single nuclei transcriptome sequencing in the hippocampus of CHIP overexpressed mice showed that the lysosomal pathway and oligodendrocyte-related biological processes were up-regulated,which may also reflect a potential mechanism for the neuroprotective effect of CHIP.Our research shows that CHIP effectively reduces the behavior and pathological manifestations of APP/PS1 mice.Indeed,overexpression of CHIP could be a beneficial approach for the treatment of Alzheimer’s disease.

Discovery of direct inhibitors of Keap1–Nrf2 protein–protein interaction as potential therapeutic and preventive agents

The Keap1–Nrf2–ARE pathway is an important antioxidant defense mechanism that protects cells from oxidative stress and the Keap1–Nrf2 protein–protein interaction(PPI) has become an important drug target to upregulate the expression of ARE-controlled cytoprotective oxidative stress response enzymes in the development of therapeutic and preventive agents for a number of diseases and conditions. However, most known Nrf2 activators/ARE inducers are indirect inhibitors of Keap1–Nrf2PPI and they are electrophilic species that act by modifying the sulfhydryl groups of Keap1's cysteine residues. The electrophilicity of these indirect inhibitors may cause "off-target" side effects by reacting with cysteine residues of other important cellular proteins. Efforts have recently been focused on the development of direct inhibitors of Keap1–Nrf2 PPI. This article reviews these recent research efforts including the development of high throughput screening assays, the discovery of peptide and small molecule direct inhibitors, and the biophysical characterization of the binding of these inhibitors to the target Keap1 Kelch domain protein. These non-covalent direct inhibitors of Keap1–Nrf2 PPI could potentially be developed into effective therapeutic or preventive agents for a variety of diseases and conditions.

Prediction of the anti-inflammatory mechanisms of curcumin by module-based protein interaction network analysis

Curcumin,the medically active component from Curcuma longa(Turmeric),is widely used to treat inflammatory diseases.Protein interaction network(PIN) analysis was used to predict its mechanisms of molecular action.Targets of curcumin were obtained based on ChE MBL and STITCH databases.Protein–protein interactions(PPIs) were extracted from the String database.The PIN of curcumin was constructed by Cytoscape and the function modules identified by gene ontology(GO) enrichment analysis based on molecular complex detection(MCODE).A PIN of curcumin with 482 nodes and 1688 interactions was constructed,which has scale-free,small world and modular properties.Based on analysis of these function modules,the mechanism of curcumin is proposed.Two modules were found to be intimately associated with inflammation.With function modules analysis,the anti-inflammatory effects of curcumin were related to SMAD,ERG and mediation by the TLR family.TLR9 may be a potential target of curcumin to treat inflammation.

Protein interaction networks:centrality,modularity,dynamics,and applications

In the post-genomic era,proteomics has achieved significant theoretical and practical advances with the development of high-throughput technologies.Especially the rapid accumulation of protein-protein interactions(PPIs)provides a foundation for constructing protein interaction networks(PINs),which can furnish a new perspective for understanding cellular organizations,processes,and functions at network level.In this paper,we present a comprehensive survey on three main characteristics of PINs:centrality,modularity,and dynamics.1)Different centrality measures,which are used to calculate the importance of proteins,are summarized based on the structural characteristics of PINs or on the basis of its integrated biological information;2)Different modularity definitions and various clustering algorithms for predicting protein complexes or identifying functional modules are introduced;3)The dynamics of proteins,PPIs and sub-networks are discussed,respectively.Finally,the main applications of PINs in the complex diseases are reviewed,and the challenges and future research directions are also discussed.

Interaction among Rb/p16, Rb/E2F1 and HDAC1 Proteins in Gallbladder Carcinoma

The mechanism and interaction among Rb/p16, Rb/E2F1 and HDAC1 proteins in gallbladder carcinoma were investigated. By using the immunoprecipitation method, the interactions among Rb, p16, E2F1, HDAC1 proteins in gallbladder carcinoma cell line （Mz-ChA-1） were studied. It was found that there were Rb and E2F1 proteins in the precipitates with anti-HDAC1, and there were HDAC1 and E2F1 proteins in the precipitate with anti-Rb. It was concluded that there are specific interactions among Rb, HDAC1 and E2F1 proteins in gallbladder carcinoma, indicating the existence of the direct Rb/E2F1/HDAC1 signal transduction pathway. There is no direct relationship between p16 proteins with Rb, HDAC1, and E2F1 proteins.

Protein Interaction Between p53 and △113p53 Is Required for the Anti-Apoptotic Function of △113p53

Zebrafish △113p53, an N-terminal truncated p53 isoform, is a p53-target gene that antagonises p53-mediated apoptotic activity. Interestingly, △113p53 does not act on p53 in a dominant-negative manner, but rather interferes with the p53 function by differentially modulating p53-target gene expression to protect cells from apoptosis. Previous studies showed that over-expressed △113p53 and p53 proteins formed a complex. However, it is not known whether endogenous p53 and △113p53 proteins also interact with each other, and if this interaction is required for △113p53 to inhibit the apoptotic activity of full-length p53. In this study, we used two available zebrafish p53 antibodies to address these questions. One, Zfp53-N, only recognises full-length p53, whereas the other, Zfp53-A7C10, detects both full-length p53 and △113p53. Using Zfp53-N for immunoprecipitation and Zfp53-A7C 10 for detection, we demonstrated that endogenous △113p53 and full-length p53 induced by a DNA-damaging drug formed a complex in vivo. Furthermore, of the six △113p53 mutants we generated with different point mutations in the oligomerisation domain, two failed to interact with p53 and lost the ability to modulate p53-target gene expression and inhibit p53-induced cell apoptosis. However, those △113p53 mutants that could interact with p53 retained the ability to antagonise the apoptotic activity of p53. Therefore, our data demonstrated that protein--protein interaction between △113p53 and p53 is essential for the anti-apoptotic function of △113p53. In addition, the two △113p53 mutants that failed to interact with p53 are also useful for the study of the mechanisms of other functions of △113p53.

Evolution and protein interactions of AP2 proteins in Brassicaceae： Evidence linking development and environmental responses

Plants have evolved a large number of transcription factors（TF）, which are enriched among duplicate genes,highlighting their roles in complex regulatory networks. The APETALA2/EREBP-like genes constitute a large plant TF family and participate in development and stress responses. To probe the conservation and divergence of AP2/EREBP genes,we analyzed the duplication patterns of this family in Brassicaceae and identified interacting proteins of representative Arabidopsis AP2/EREBP proteins. We found that many AP2/EREBP duplicates generated early in Brassicaceae history were quickly lost, but many others were retained in all tested Brassicaceae species, suggesting early functional divergence followed by persistent conservation. In addition,the sequences of the AP2 domain and exon numbers were highly conserved in rosids. Furthermore, we used 16 A.thaliana AP2/EREBP proteins as baits in yeast screens and identified 1,970 potential AP2/EREBP-interacting proteins,with a small subset of interactions verified in planta. Many AP2 genes also exhibit reduced expression in an antherdefective mutant, providing a possible link to developmental regulation. The putative AP2-interacting proteins participate in many functions in development and stress responses,including photomorphogenesis, flower development, pathogenesis, drought and cold responses, abscisic acid and auxin signaling. Our results present the AP2/EREBP evolution patterns in Brassicaceae, and support a proposed interaction network of AP2/EREBP proteins and their putative interacting proteins for further study.

Systems understanding of plant-pathogen interactions through genome-wide protein-protein interaction networks

Plants are frequently affected by pathogen infections.To effectively defend against such infections,two major modes of innate immunity have evolved in plants;pathogen-associated molecular pattern-triggered immunity and effector-triggered immunity.Although the molecular components as well as the corresponding pathways involved in these two processes have been identified,many aspects of the molecular mechanisms of the plant immune system remain elusive.Recently,the rapid development of omics techniques(e.g.,genomics,proteomics and transcriptomics) has provided a great opportunity to explore plant–pathogen interactions from a systems perspective and studies on protein–protein interactions(PPIs) between plants and pathogens have been carried out and characterized at the network level.In this review,we introduce experimental and computational identification methods of PPIs,popular PPI network analysis approaches,and existing bioinformatics resources/tools related to PPIs.Then,we focus on reviewing the progress in genome-wide PPI networks related to plant–pathogen interactions,including pathogen-centric PPI networks,plant-centric PPI networks and interspecies PPI networks between plants and pathogens.We anticipate genome-wide PPI network analysis will provide a clearer understanding of plant–pathogen interactions and will offer some new opportunities for crop protection and improvement.

Constructing protein-protein interaction network of hypertension with blood stasis syndrome via digital gene expression sequencing and database mining

OBJECTIVE： To construct a protein-protein interaction（PPI） network in hypertension patients with blood-stasis syndrome（BSS） by using digital gene expression（DGE） sequencing and database mining techniques.METHODS： DGE analysis based on the Solexa Genome Analyzer platform was performed on vascular endothelial cells incubated with serum of hypertension patients with BSS. The differentially expressed genes were f iltered by comparing the expression levels between the different experimental groups. Then functional categories and e nriched pathways of the unique genes for BSS were analyzed using Database for Annotation, Visualization and Integrated Discovery（DAVID） to select those in the enrichment pathways. I nterologous Interaction Database（I2D） was used to construct PPI networks with the selected genes for hypertension patients with BSS. The potential candidate genes related to BSS were identif ied by comparing the number of relationships among genes. Confi rmed by quantitative reverse transcription-polymerase chain reaction（q RTPCR）, gene ontology（GO） analysis was used to infer the functional annotations of the potential candidate genes for BSS.RESULTS： With gene enrichment analysis using DAVID, a list of 58 genes was chosen from the unique genes. The selected 58 genes were analyzed using I2 D, and a PPI network was constructed. Based on the network analysis results, candidate genes for BSS were identifi ed：DDIT3, JUN, HSPA8, NFIL3, HSPA5, HIST2H2 BE, H3F3 B, CEBPB, SAT1 and GADD45 A. Verif ied through qRT-PCR and analyzed by GO, the functional annotations of the potential candidate genes were explored.CONCLUSION： Compared with previous methodologies reported in the literature, the present DGE analysis and data mining method have shown a great improvement in analyzing BSS.

Regulable DNA–Protein Interactions in Vitro and Vivo at Epigenetic DNA Marks

5-Formyluracil(5fU)is a vital DNA marker that is widely distributed in the cells of organisms.A unique feature of 5fU is the possession of a potentially reactive aldehyde group in its structure that could realize addition and condensation reactions.However,the biological functional details of 5fU remain mostly elusive,especially,regarding its relatedness with proteins.In this current study,we show that 5fU bases have a strong affinity toward nucleosome core particles,and that could yield regulable DNA–protein conjugates(DPCs)via chemical interactions between amino and aldehyde groups,and reductants could be applied to stabilize or dissociate the interactions.Besides,we developed a photocaged method to exploit the relationship between 5fU and nucleosomes.Finally,by applying a combination of the existence of 5fU–histone interactions in vivo by ChIP analysis of histone H4 with liquid chromatography–mass spectrometry(LC–MS),we probed further,the DPCs’influence on nucleosome and enzyme.Collectively,our results showed that the 5fU–protein interactions increase the occupancy and stability of nucleosomes,affect enzyme recognition,and block DNA replication.These might imply that,in vivo,the DPCs between 5fU and nucleosome core particles might play a key role in 5fU-associated pathways such as DNA repair,transcriptional regulation,or development.

Biochemical reactions in metabolite-protein interaction

Active endogenous metabolites regulate the viability of cells. This process is controlled by a series ofinteractions between small metabolites and large proteins. Previously, several studies had reported thatmetabolite regulates the protein functions, such as diacylglycerol to protein kinase C, lactose regulationof the lac repressor, and HIF-1α stabilization by 2-hydroxyglutarate. However, decades old traditionalbiochemical methods are insufficient to systematically investigate the bio-molecular reactions for a high-throughput discovery. Here, we have reviewed an update on the recently developed chemical proteomicscalled activity-based protein profiling （ABPP）. ABPP is able to identify proteins interacted eithercovalently or non-covalently with metabolites significantly. Thus, ABPP will facilitate the characteriza-tion of specific metabolite regulating; proteins in human disease progression.

Calcium/calmodulin modulates salt responses by binding a novel interacting protein SAMS1 in peanut(Arachis hypogaea L.)

The Ca^(2+)/CaM signal transduction pathway helps plants adapt to environmental stress. However, our knowledge on the functional proteins of C^(2+)/CaM pathway in peanut(Arachis hypogeae L.) remains limited. In the present study, a novel calmodulin 4(CaM4)-binding protein S-adenosyl-methionine synthetase 1(SAMS1) in peanut was identified using a yeast two-hybrid assay. Expression of AhSAMS1was induced by Ca^(2+), ABA, and salt stress. To elucidate the function of AhSAMS1, physiological and phenotypic analyses were performed with wild-type and transgenic materials. Overexpression of AhSAMS1increased spermidine and spermidine synthesis while decreased the contents of ethylene, thereby eliminating excessive reactive oxygen species(ROS) in transgenic lines under salt stress. AhSAMS1 reduced uptake of Na+and leakage of K+from mesophyll cells, and was less sensitive to salt stress during early seedling growth, in agreement with the induction of SOS and NHX genes Transcriptomics combined with epigenetic regulation uncovered relationships between differentially expressed genes and differentially methylated regions, which raised the salt tolerance and plants growth. Our findings support a model in which the role of AhSAMS1 in the ROS-dependent regulation of ion homeostasis was enhanced by Ca^(2+)/CaM while AhSAMS1-induced methylation was regulated by CaM, thus providing a new strategy for increasing the tolerance of plants to salt stress.

Cloning of Rice Blast Resistance Gene Pik_2-H4 and Screening of Its Interaction Protein

Abstract The broad-spectrum rice blast resistance gene Pik2-H4 was cloned from the highly resistant line H4. The full-length sequence of Pik2-H4 was 3 066 bp, which was different from the corresponding allele sequence of Nipponbare. Pik2-H4 belonged to NBS-LRR genes and coded a protein containing NB-ARC domain and leueine-rieh repeats. To find the interaction proteins with Pik2-H4 from the rice, the yeast two-hybrid system was used and three important proteins （ LOC- Os08939300, LOCOs03g25960 and LOC-Os09929130）were identified. The results could provide some new information for the mechanism of rice blast resistance mediated by Pik2-H4.

High Performance Hydrophobic Interaction Chromatography-A New Approach to Separate Intermediates of Protein Folding──Ⅰ.Separation of Intermediates of Urea-unfolded α-Amylase

Based on the different hydrophobicities of the intermediates of proteins the various conformational intermediates of the refolding of a-amylase originally denatured with 8.0 mol/L urea solution were separated with high performance hydrophobic interaction chromatography(HPHIC). Compared to the separation of the same intermediates with weak anion exchange chromatography and size-exclusion chromatography the result obtained with HPHIC is the best It would be expected that HPHIC may be a strongly potential tool to separate intermediates of some proteins which cannot be, or cannot completely be refolded by HPHIC.