共查询到20条相似文献，搜索用时 15 毫秒
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ERC‐55, encoded from RCN2, is localized in the ER and belongs to the CREC protein family. ERC‐55 is involved in various diseases and abnormal cell behavior, however, the function is not well defined and it has controversially been reported to interact with a cytosolic protein, the vitamin D receptor. We have used a number of proteomic techniques to further our functional understanding of ERC‐55. By affinity purification, we observed interaction with a large variety of proteins, including those secreted and localized outside of the secretory pathway, in the cytosol and also in various organelles. We confirm the existence of several ERC‐55 splicing variants including ERC‐55‐C localized in the cytosol in association with the cytoskeleton. Localization was verified by immunoelectron microscopy and sub‐cellular fractionation. Interaction of lactoferrin, S100P, calcyclin (S100A6), peroxiredoxin‐6, kininogen and lysozyme with ERC‐55 was further studied in vitro by SPR experiments. Interaction of S100P requires [Ca2+] of ～10?7 M or greater, while calcyclin interaction requires [Ca2+] of >10?5 M. Interaction with peroxiredoxin‐6 is independent of Ca2+. Co‐localization of lactoferrin, S100P and calcyclin with ERC‐55 in the perinuclear area was analyzed by fluorescence confocal microscopy. The functional variety of the interacting proteins indicates a broad spectrum of ERC‐55 activities such as immunity, redox homeostasis, cell cycle regulation and coagulation. 相似文献
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Yose Y. Widjaja Chi Nam Ignatius Pang Simone S. Li Marc R. Wilkins Tim D. Lambert 《Proteomics》2009,9(23):5309-5315
Here, we describe the Interactorium, a tool in which a Virtual Cell is used as the context for the seamless visualisation of the yeast protein interaction network, protein complexes and protein 3‐D structures. The tool has been designed to display very complex networks of up to 40 000 proteins or 6000 multiprotein complexes and has a series of toolboxes and menus to allow real‐time data manipulation and control the manner in which data are displayed. It incorporates new algorithms that reduce the complexity of the visualisation by the generation of putative new complexes from existing data and by the reduction of edges through the use of protein “twins” when they occur in multiple locations. Since the Interactorium permits multi‐level viewing of the molecular biology of the cell, it is a considerable advance over existing approaches. We illustrate its use for Saccharomyces cerevisiae but note that it will also be useful for the analysis of data from simpler prokaryotes and higher eukaryotes, including humans. The Interactorium is available for download at http://www.interactorium.net . 相似文献
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Sarah‐Jane Schramm Vivek Jayaswal Apurv Goel Simone S. Li Yee Hwa Yang Graham J. Mann Marc R. Wilkins 《Proteomics》2013,13(23-24):3393-3405
High‐throughput ‘‐omics’ data can be combined with large‐scale molecular interaction networks, for example, protein–protein interaction networks, to provide a unique framework for the investigation of human molecular biology. Interest in these integrative ‘‐omics’ methods is growing rapidly because of their potential to understand complexity and association with disease; such approaches have a focus on associations between phenotype and “network‐type.” The potential of this research is enticing, yet there remain a series of important considerations. Here, we discuss interaction data selection, data quality, the relative merits of using data from large high‐throughput studies versus a meta‐database of smaller literature‐curated studies, and possible issues of sociological or inspection bias in interaction data. Other work underway, especially international consortia to establish data formats, quality standards and address data redundancy, and the improvements these efforts are making to the field, is also evaluated. We present options for researchers intending to use large‐scale molecular interaction networks as a functional context for protein or gene expression data, including microRNAs, especially in the context of human disease. 相似文献
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Guang Yang Qingrun Li Siyuan Ren Xuefeng Lu Longhou Fang Wenchao Zhou Fan Zhang Feilai Xu Zhe Zhang Rong Zeng Friedrich Lottspeich Zhengjun Chen 《Proteomics》2009,9(21):4944-4961
C‐terminal Src kinase (Csk) that functions as an essential negative regulator of Src family tyrosine kinases (SFKs) interacts with tyrosine‐phosphorylated molecules through its Src homology 2 (SH2) domain, allowing it targeting to the sites of SFKs and concomitantly enhancing its kinase activity. Identification of additional Csk‐interacting proteins is expected to reveal potential signaling targets and previously undescribed functions of Csk. In this study, using a direct proteomic approach, we identified 151 novel potential Csk‐binding partners, which are associated with a wide range of biological functions. Bioinformatics analysis showed that the majority of identified proteins contain one or several Csk‐SH2 domain‐binding motifs, indicating a potentially direct interaction with Csk. The interactions of Csk with four proteins (partitioning defective 3 (Par3), DDR1, SYK and protein kinase C iota) were confirmed using biochemical approaches and phosphotyrosine 1127 of Par3 C‐terminus was proved to directly bind to Csk‐SH2 domain, which was consistent with predictions from in silico analysis. Finally, immunofluorescence experiments revealed co‐localization of Csk with Par3 in tight junction (TJ) in a tyrosine phosphorylation‐dependent manner and overexpression of Csk, but not its SH2‐domain mutant lacking binding to phosphotyrosine, promoted the TJ assembly in Madin‐Darby canine kidney cells, implying the involvement of Csk‐SH2 domain in regulating cellular TJs. In conclusion, the newly identified potential interacting partners of Csk provided new insights into its functional diversity in regulation of numerous cellular events, in addition to controlling the SFK activity. 相似文献
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Victoria M. Perreau Sandra Orchard Paul A. Adlard Shayne A. Bellingham Roberto Cappai Giuseppe D. Ciccotosto Tiffany F. Cowie Peter J. Crouch James A. Duce Genevieve Evin Noel G. Faux Andrew F. Hill Ya Hui Hung Simon A. James Qiao‐Xin Li Su San Mok Deborah J. Tew Anthony R. White Ashley I. Bush Henning Hermjakob Colin L. Masters 《Proteomics》2010,10(12):2377-2395
The primary constituent of the amyloid plaque, β‐amyloid (Aβ), is thought to be the causal “toxic moiety” of Alzheimer's disease. However, despite much work focused on both Aβ and its parent protein, amyloid precursor protein (APP), the functional roles of APP and its cleavage products remain to be fully elucidated. Protein–protein interaction networks can provide insight into protein function, however, high‐throughput data often report false positives and are in frequent disagreement with low‐throughput experiments. Moreover, the complexity of the CNS is likely to be under represented in such databases. Therefore, we curated the published work characterizing both APP and Aβ to create a protein interaction network of APP and its proteolytic cleavage products, with annotation, where possible, to the level of APP binding domain and isoform. This is the first time that an interactome has been refined to domain level, essential for the interpretation of APP due to the presence of multiple isoforms and processed fragments. Gene ontology and network analysis were used to identify potentially novel functional relationships among interacting proteins. 相似文献
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Angela Brieger Boris Adryan Fabian Wolpert Sandra Passmann Stefan Zeuzem Jörg Trojan 《Proteomics》2010,10(18):3343-3355
The involvement of MLH1 in several mismatch repair‐independent cellular processes has been reported. In an attempt to gain further insight into the protein's cellular functions, we screened for novel interacting partners of MLH1 utilizing a bacterial two‐hybrid system. Numerous unknown interacting proteins were identified, suggesting novel biological roles of MLH1. The network of MLH1 and its partner proteins involves a multitude of cellular processes. Integration of our data with the “General Repository for Interaction Datasets” highlighted that MLH1 exhibits relationships to three interacting pairs of proteins involved in cytoskeletal and filament organization: Thymosin β 4 and Actin γ, Cathepsin B and Annexin A2 as well as Spectrin α and Desmin. Coimmunoprecipitation and colocalization experiments validated the interaction of MLH1 with these proteins. Differential mRNA levels of many of the identified proteins, detected by microarray analysis comparing MLH1‐deficient and ‐proficient cell lines, support the assumed interplay of MLH1 and the identified candidate proteins. By siRNA knock down of MLH1, we demonstrated the functional impact of MLH1–Actin interaction on filament organization and propose that dysregulation of MLH1 plays an essential role in cytoskeleton dynamics. Our data suggest novel roles of MLH1 in cellular organization and colorectal cancerogenesis. 相似文献
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Maria Guadalupe Vizoso Pinto Josefina Maria Villegas Jan Peter Rudolf Haase Jürgen Haas Amelie Sophia Lotz Ania Carolina Muntau Armin Baiker 《Proteomics》2009,9(23):5303-5308
The GC content is highly variable among the genomes of different organisms. It has been shown that recombinant gene expression in mammalian cells is much more efficient when GC‐rich coding sequences of a certain protein are used. In order to study protein–protein interactions in Varicella zoster virus, a GC‐low herpesvirus, we have developed a novel luminescence‐based maltose‐binding protein pull‐down interaction screening system (LuMPIS) that is able to overcome the impaired protein expression levels of GC‐low ORFs in mammalian expression systems. 相似文献
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The explosion of site‐ and context‐specific in vivo phosphorylation events presents a potentially rich source of biological knowledge and calls for novel data analysis and modeling paradigms. Perhaps the most immediate challenge is delineating detected phosphorylation sites to their effector kinases. This is important for (re)constructing transient kinase–substrate interaction networks that are essential for mechanistic understanding of cellular behaviors and therapeutic intervention, but has largely eluded high‐throughput protein‐interaction studies due to their transient nature and strong dependencies on cellular context. Here, we surveyed some of the computational approaches developed to dissect phosphorylation data detected in systematic proteomic experiments and reviewed some experimental and computational approaches used to map phosphorylation sites to their effector kinases in efforts aimed at reconstructing biological signaling networks. 相似文献
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Tandekile Lubelwana Hafver Pimthanya Wanichawan Ornella Manfra Gustavo Antonio de Souza Marianne Lunde Marita Martinsen William Edward Louch Ole Mathias Sejersted Cathrine Rein Carlson 《Proteomics》2017,17(17-18)
The sodium (Na+)‐calcium (Ca2+) exchanger 1 (NCX1) is an antiporter membrane protein encoded by the SLC8A1 gene. In the heart, it maintains cytosolic Ca2+ homeostasis, serving as the primary mechanism for Ca2+ extrusion during relaxation. Dysregulation of NCX1 is observed in end‐stage human heart failure. In this study, we used affinity purification coupled with MS in rat left ventricle lysates to identify novel NCX1 interacting proteins in the heart. Two screens were conducted using: (1) anti‐NCX1 against endogenous NCX1 and (2) anti‐His (where His is histidine) with His‐trigger factor‐NCX1cyt recombinant protein as bait. The respective methods identified 112 and 350 protein partners, of which several were known NCX1 partners from the literature, and 29 occurred in both screens. Ten novel protein partners (DYRK1A, PPP2R2A, SNTB1, DMD, RABGGTA, DNAJB4, BAG3, PDE3A, POPDC2, STK39) were validated for binding to NCX1, and two partners (DYRK1A, SNTB1) increased NCX1 activity when expressed in HEK293 cells. A cardiac NCX1 protein–protein interaction map was constructed. The map was highly connected, containing distinct clusters of proteins with different biological functions, where “cell communication” and “signal transduction” formed the largest clusters. The NCX1 interactome was also significantly enriched with proteins/genes involved in “cardiovascular disease” which can be explored as novel drug targets in future research. 相似文献
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A comprehensive understanding of protein–protein interactions is an important next step in our quest to understand how the information contained in a genome is put into action. Although a number of experimental techniques can report on the existence of a protein– protein interaction, very few can provide detailed structural information. NMR spectroscopy is one of these, and in recent years several complementary NMR approaches, including residual dipolar couplings and the use of paramagnetic effects, have been developed that can provide insight into the structure of protein–protein complexes. In this article, we review these approaches and comment on their strengths and weaknesses. 相似文献
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RNA-binding proteins can strongly regulate and influence the cellular function and fate of an RNA molecule. Of the many described nucleic acid-binding domains, the double-stranded RNA-binding domain (dsRBD) is a highly specialized example found in a wide variety of proteins with diverse cellular functions. Mostly present in multiple copies and highly homologous to one another, the individual functional specificity of dsRBDs is now becoming apparent. Here we review recent evidence showing that single dsRBDs within individual proteins are capable of distinct in vivo functions. Not only does this enable dsRBD-containing proteins to increase their functional diversity but it also reveals novel and unexpected roles that dsRBDs can perform. 相似文献
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Yanjun Qi Harpreet K. Dhiman Neil Bhola Ivan Budyak Siddhartha Kar David Man Arpana Dutta Kalyan Tirupula Brian I. Carr Jennifer Grandis Ziv Bar‐Joseph Judith Klein‐Seetharaman 《Proteomics》2009,9(23):5243-5255
Membrane receptor‐activated signal transduction pathways are integral to cellular functions and disease mechanisms in humans. Identification of the full set of proteins interacting with membrane receptors by high‐throughput experimental means is difficult because methods to directly identify protein interactions are largely not applicable to membrane proteins. Unlike prior approaches that attempted to predict the global human interactome, we used a computational strategy that only focused on discovering the interacting partners of human membrane receptors leading to improved results for these proteins. We predict specific interactions based on statistical integration of biological data containing highly informative direct and indirect evidences together with feedback from experts. The predicted membrane receptor interactome provides a system‐wide view, and generates new biological hypotheses regarding interactions between membrane receptors and other proteins. We have experimentally validated a number of these interactions. The results suggest that a framework of systematically integrating computational predictions, global analyses, biological experimentation and expert feedback is a feasible strategy to study the human membrane receptor interactome. 相似文献
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Christopher A. Jackson Neelu Yadav Sangwon Min Jun Li Eric J. Milliman Jun Qu Yin‐Chu Chen Michael C. Yu 《Proteomics》2012,12(22):3304-3314
Protein arginine methylation is a PTM catalyzed by an evolutionarily conserved family of enzymes called protein arginine methyltransferases (PRMTs), with PRMT1 being the most conserved member of this enzyme family. This modification has emerged to be an important regulator of protein functions. To better understand the role of PRMTs in cellular pathways and functions, we have carried out a proteomic profiling experiment to comprehensively identify the physical interactors of Hmt1, the budding yeast homolog for human PRMT1. Using a dual‐enzymatic digestion linear trap quadrupole/Orbitrap proteomic strategy, we identified a total of 108 proteins that specifically copurify with Hmt1 by tandem affinity purification. A reverse coimmunoprecipitation experiment was used to confirm Hmt1's physical association with Bre5, Mtr4, Snf2, Sum1, and Ssd1, five proteins that were identified as Hmt1‐specific interactors in multiple biological replicates. To determine whether the identified Hmt1‐interactors had the potential to act as an Hmt1 substrate, we used published bioinformatics algorithms that predict the presence and location of potential methylarginines for each identified interactor. One of the top hits from this analysis, Snf2, was experimentally confirmed as a robust substrate of Hmt1 in vitro. Overall, our data provide a feasible proteomic approach that aid in the better understanding of PRMT1's roles within a cell. 相似文献
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Walter L. Siqueira Young Ho Lee Yizhi Xiao Katharina Held Williston Wong 《Proteomics》2012,12(22):3426-3435
With recent progress in the analysis of the salivary proteome, the number of salivary proteins identified has increased dramatically. However, the physiological functions of many of the newly discovered proteins remain unclear. Closely related to the study of a protein's function is the identification of its interaction partners. We investigated interactions among and functions of histatin 1 and the other proteins that are present in saliva by using high‐throughput mass spectrometric techniques. This led to the identification of 43 proteins able to interact with histatin 1. In addition, we found that these protein–protein interactions protect complex partners from proteolysis and modulate their antifungal activity. Our data contribute significantly to characterization of the salivary interactome and to understanding the biology of salivary protein complexes. 相似文献
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Marianna Caterino Anna Aspesi Elisa Pavesi Esther Imperlini Daniela Pagnozzi Laura Ingenito Claudio Santoro Irma Dianzani Margherita Ruoppolo 《Proteomics》2014,14(20):2286-2296
Diamond–Blackfan anemia, characterized by defective erythroid progenitor maturation, is caused in one‐fourth of cases by mutations of ribosomal protein S19 (RPS19), which is a component of the ribosomal 40S subunit. Our previous work described proteins interacting with RPS19 with the aim to determine its functions. Here, two RPS19 mutants, R62W and R101H, have been selected to compare their interactomes versus the wild‐type protein one, using the same functional proteomic approach that we employed to characterize RPS19 interactome. Mutations R62W and R101H impair RPS19 ability to associate with the ribosome. Results presented in this paper highlight the striking differences between the interactomes of wild‐type and mutant RPS19 proteins. In particular, mutations abolish interactions with proteins having splicing, translational and helicase activity, thus confirming the role of RPS19 in RNA processing/metabolism and translational control. The data have been deposited to the ProteomeXchange with identifier PXD000640 ( http://proteomecentral.proteomexchange.org/dataset/PXD000640 ). 相似文献
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Oliver Poetz Katrin Luckert Thomas Herget Thomas O. Joos 《Analytical biochemistry》2009,395(2):S37-248
Co-immunoprecipitation (co-IP) is a prominent technique for evaluating protein–protein interactions. Currently, large quantities of protein are required to perform co-IP followed by mass spectrometric or Western blot analyses of the interacting proteins. Here catenin–cadherin complexes were employed to establish a multiplexed microsphere-based co-immunoprecipitation (μco-IP) protocol that allows the analysis of different complexes of a given protein with various interacting proteins within a single experiment using a limited amount of sample material. 相似文献
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Hydrogen bond, hydrophobic and vdW interactions are the three major non-covalent interactions at protein–protein interfaces. We have developed a method that uses only these properties to describe interactions between proteins, which can qualitatively estimate the individual contribution of each interfacial residue to the binding and gives the results in a graphic display way. This method has been applied to analyze alanine mutation data at protein–protein interfaces. A dataset containing 13 protein–protein complexes with 250 alanine mutations of interfacial residues has been tested. For the 75 hot-spot residues (G1.5 kcal mol-1), 66 can be predicted correctly with a success rate of 88%. In order to test the tolerance of this method to conformational changes upon binding, we utilize a set of 26 complexes with one or both of their components available in the unbound form. The difference of key residues exported by the program is 11% between the results using complexed proteins and those from unbound ones. As this method gives the characteristics of the binding partner for a particular protein, in-depth studies on protein–protein recognition can be carried out. Furthermore, this method can be used to compare the difference between protein–protein interactions and look for correlated mutation.
Figure Key interaction grids at the interface between barnase and barstar. Key interaction grid for barnase and barstar are presented in one figure according to their coordinates. In order to distinguish the two proteins, different icons were assigned. Crosses represent key grids for barstar and dots represent key grids for barnase. The four residues in ball and stick are Asp40 in barstar and Arg83, Arg87, His102 in barnase. 相似文献