Cytoskeletal scaffolding proteins interact with Lynch‐Syndrome associated mismatch repair protein MLH1

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.     

Proteomic analysis reveals novel binding partners of MIP‐T3 in human cells

MIP‐T3 (microtubule‐interacting protein associated with TRAF3) is a microtubule‐interacting protein that evolutionarily conserved from worms to humans, but whose cellular functions remains unknown. To get insight into the functions of MIP‐T3, we set out to identify MIP‐T3 interacting proteins by immunoprecipitation in human embryonic kidney 293 cells and MS analysis. As the results, a total of 34 proteins were identified and most of them were novel MIP‐T3 putative partners. The MIP‐T3‐associated proteins could be grouped into nine clusters based on their molecule functions, including cytoskeleton, chaperone, nucleic acid binding, kinase and so on. Three MIP‐T3‐interacted proteins – actin, HSPA8 and tubulin – were further confirmed by reciprocal coimmunoprecipitations and colocalization analysis. The interaction of MIP‐T3 with both actin filaments and microtubule suggested that MIP‐T3 may play an important role in regulation of cytoskeleton dynamics in cells. Our results therefore not only uncover a large number of MIP‐T3‐associated proteins that possess a variety of cellular functions, but also provide new research directions for the study of the functions of MIP‐T3.     

Identification of new Golgi complex specific proteins by direct organelle proteomic analysis

The Golgi complex is in the crossroad of the endocytic and secretory pathways. Its function is to post-translationally modify and sort proteins and lipids, and regulate the membrane balance in the cell. To understand the structure-function relationship of the Golgi complex the Golgi proteome has to be identified first. We have used a direct organelle proteomic analysis to identify new Golgi complex proteins. Enriched stacked Golgi membrane fractions from rat livers were isolated, and the proteins from these membranes were subsequently digested into peptides. The peptides were fractionated by cation-exchange chromatography followed by protein identification by automated capillary-LC/ESI-MS/MS analysis and database searches. Two different search programs, ProID and MASCOT were used. This resulted in a total of 1125 protein identifications in two experiments. In addition to the known Golgi resident proteins, a significant number of unknown proteins were identified. Some of these were further characterized in silico using different programs to provide insight into their structure, intracellular localization and biological functions. The Golgi localization of two of these newly identified proteins was also confirmed by indirect immunofluorescence.     

Conditionally oncogenic forms of the A-Raf and B-Raf protein kinases display different biological and biochemical properties in NIH 3T3 cells.

The protein kinase domains of mouse A-Raf and B-Raf were expressed as fusion proteins with the hormone binding domain of the human estrogen receptor in mammalian cells. In the absence of estradiol, 3T3 and rat1a cells expressing delta A-Raf:ER and delta B-Raf:ER were nontransformed, but upon the addition of estradiol the cells became oncogenically transformed. Morphological oncogenic transformation was more rapid and distinctive in cells expressing delta B-Raf:ER compared with cells expressing delta A-Raf:ER. Biochemical analysis of cells transformed by delta A-Raf:ER and delta B-Raf:ER revealed several interesting differences. The activation of delta B-Raf:ER consistently led to the rapid and robust activation of both MEK and p42/p44 MAP kinases. By contrast, the activation of delta A-Raf:ER led to a weak activation of MEK and the p42/p44 MAP kinases. The extent of activation of MEK in cells correlated with the ability of the different Raf kinases to phosphorylate and activate MEK1 in vitro. delta B-Raf:ER phosphorylated MEK1 approximately 10 times more efficiently than delta Raf-1:ER and at least 500 times more efficiently than delta A-Raf:ER under the conditions of the immune-complex kinase assays. These results were confirmed with epitope-tagged versions of the Raf kinase domains expressed in insect cells. The activation of all three delta Raf:ER proteins in 3T3 cells led to the hyperphosphorylation of the resident p74raf-1 and mSOS1 proteins, suggesting the possibility of "cross-talk" between the different Raf kinases and feedback regulation of intracellular signaling pathways. The activation of either delta B-Raf:ER or delta Raf-1:ER in quiescent 3T3 cells was insufficient to promote the entry of the cells into DNA synthesis. By contrast, the activation of delta A-Raf:ER in quiescent 3T3 cells was sufficient to promote the entry of the cells into S phase after prolonged exposure to beta-estradiol. The delta Raf:ER system has allowed us to reveal significant differences between the biological and biochemical properties of oncogenic forms of the Raf family of protein kinases. We anticipate that cells expressing these proteins and other estradiol-regulated protein kinases will be useful tools in future attempts to unravel the complex web of interactions involved in intracellular signal transduction pathways.     

Denatured bactericidal proteins: Active per se,or reservoirs of active peptides?

According to the structure-to-function paradigm proteins fold into a 3D structure for exerting their functions. Intrinsically destructured proteins with important biological functions have been identified and studied, but they assume a structure when interacting in the cell with their partners. There are instead bactericidal proteins, endowed also with other diverse activities (glycoside hydrolases, RNases, a defensin), which are lost when the proteins are denatured or inactivated, whereas the bactericidal activity is surprisingly conserved.The hypothesis is advanced that these proteins are not bactericidal per se, but because they store in their amino acid sequences peptide segments that display bactericidal activity when cut out as free peptides from the proteins. These bactericidal proteins would thus be merely containers of bactericidal peptides.     

A protein-protein interaction network for human inherited ataxias and disorders of Purkinje cell degeneration

Many human inherited neurodegenerative disorders are characterized by loss of balance due to cerebellar Purkinje cell (PC) degeneration. Although the disease-causing mutations have been identified for a number of these disorders, the normal functions of the proteins involved remain, in many cases, unknown. To gain insight into the function of proteins involved in PC degeneration, we developed an interaction network for 54 proteins involved in 23 inherited ataxias and expanded the network by incorporating literature-curated and evolutionarily conserved interactions. We identified 770 mostly novel protein-protein interactions using a stringent yeast two-hybrid screen; of 75 pairs tested, 83% of the interactions were verified in mammalian cells. Many ataxia-causing proteins share interacting partners, a subset of which have been found to modify neurodegeneration in animal models. This interactome thus provides a tool for understanding pathogenic mechanisms common for this class of neurodegenerative disorders and for identifying candidate genes for inherited ataxias.     

Comparative interactomes of SIRT6 and SIRT7: Implication of functional links to aging

Sirtuins are NAD⁺‐dependent deacetylases that regulate a range of cellular processes. Although diverse functions of sirtuins have been proposed, those functions of SIRT6 and SIRT7 that are mediated by their interacting proteins remain elusive. In the present study, we identified SIRT6‐ and SIRT7‐interacting proteins, and compared their interactomes to investigate functional links. Our interactomes revealed 136 interacting proteins for SIRT6 and 233 for SIRT7 while confirming seven and 111 proteins identified previously for SIRT6 and SIRT7, respectively. Comparison of SIRT6 and SIRT7 interactomes under the same experimental conditions disclosed 111 shared proteins, implying related functional links. The interaction networks of interactomes indicated biological processes associated with DNA repair, chromatin assembly, and aging. Interactions of two highly acetylated proteins, nucleophosmin (NPM1) and nucleolin, with SIRT6 and SIRT7 were confirmed by co‐immunoprecipitation. NPM1 was found to be deacetylated by both SIRT6 and SIRT7. In senescent cells, the acetylation level of NPM1 was increased in conjunction with decreased levels of SIRT6 and SIRT7, suggesting that the acetylation of NPM1 could be regulated by SIRT6 and SIRT7 in the aging process. Our comparative interactomic study of SIRT6 and SIRT7 implies important functional links to aging by their associations with interacting proteins. All MS data have been deposited in the ProteomeXchange with identifiers PXD000159 and PXD000850 ( http://proteomecentral.proteomexchange.org/dataset/PXD000159 , http://proteomecentral.proteomexchange.org/dataset/PXD000850 ).     

Analysis of a novel human gene, LOC92912, over-expressed in hypopharyngeal tumours

We have identified by differential display a number of novel genes that are expressed in hypopharyngeal head and neck squamous cell carcinoma. We report here the characterisation of one of these novel human genes, LOC92912, that encodes a protein of 375 amino acids. The protein contains a RWD domain, a coiled-coil, and an E2 ubiquitin conjugating enzyme domain. LOC92912 is upregulated in about 85% of tumour samples. It is expressed in tumour masses and in invasive epithelium, and is located in the cytoplasm of cells. To gain insights into its functions, we identified potential interacting partners by immunoaffinity purification of the flag tagged protein followed by MALDI peptide mass fingerprinting mass spectrometry. Actin and six actin-binding proteins were unambiguously identified as potential interacting partners, suggesting that LOC92912's functions may be linked with the cytoskeleton. This novel human gene may represent a new target for cancer therapeutics.     

RNA Structure and Stability

RNA molecules fold into specific base-paired conformations that contain single-stranded regions, A-form double helices, hairpin loops, internal loops, bulges, junctions, pseudoknots, kissing hairpins, and so forth. These structural motifs are recognized by proteins, other RNAs, and other parts of the same RNA. The interactions of these structural elements are crucial to the biological functions of the RNA molecules. We describe the different motifs and discuss their thermodynamic stabilities relative to single strands of RNA. The stabilities determine under what conditions they occur and whether they change when interacting with proteins or other ligands.     

Biological photoreceptors of light-dependent regulatory processes

Progress in understanding primary mechanisms of light reception in photoregulatory processes is achieved through discovering new biological photoreceptors, chiefly the regulatory sensors of blue/UV-A light. Among them are LOV domain-containing proteins and DNA photolyase-like cryptochromes, which constitute two widespread groups of photoreceptors that use flavin cofactors (FMN or FAD) as the photoactive chromophores. Bacterial LOV domain modules are connected in photoreceptor proteins with regulatory domains such as diguanylate cyclases/phosphodiesterases, histidine kinases, and DNA-binding domains that are activated by photoconversions of flavin. Identification of red/far-red light sensors in chemotrophic bacteria (bacteriophytochromes) and crystal structures of their photosensor module with bilin chromophore are significant for decoding the mechanisms of phytochrome receptor photoconversion and early step mechanisms of phytochrome-mediated signaling. The only UV-B regulatory photon sensor, UVR8, recently identified in plants, unlike other photoreceptors functions without a prosthetic chromophore: tryptophans of the unique UVR8 protein structure provide a “UV-B antenna”. Our analysis of new data on photosensory properties of the identified photoreceptors in conjunction with their structure opens insight on the influence of the molecular microenvironment on light-induced chromophore reactions, the mechanisms by which the photoactivated chromophores trigger conformational changes in the surrounding protein structure, and structural bases of propagation of these changes to the interacting effector domains/proteins.     

Rapid evolution of the DNA-binding site in LAGLIDADG homing endonucleases

Sequence analysis of chloroplast and mitochondrial large subunit rRNA genes from over 75 green algae disclosed 28 new group I intron-encoded proteins carrying a single LAGLIDADG motif. These putative homing endonucleases form four subfamilies of homologous enzymes, with the members of each subfamily being encoded by introns sharing the same insertion site. We showed that four divergent endonucleases from the I-CreI subfamily cleave the same DNA substrates. Mapping of the 66 amino acids that are conserved among the members of this subfamily on the 3-dimensional structure of I-CreI bound to its recognition sequence revealed that these residues participate in protein folding, homodimerization, DNA recognition and catalysis. Surprisingly, only seven of the 21 I-CreI amino acids interacting with DNA are conserved, suggesting that I-CreI and its homologs use different subsets of residues to recognize the same DNA sequence. Our sequence comparison of all 45 single-LAGLIDADG proteins identified so far suggests that these proteins share related structures and that there is a weak pressure in each subfamily to maintain identical protein–DNA contacts. The high sequence variability we observed in the DNA-binding site of homologous LAGLIDADG endonucleases provides insight into how these proteins evolve new DNA specificity.     

Modular organization of protein interaction networks

MOTIVATION: Accumulating evidence suggests that biological systems are composed of interacting, separable, functional modules. Identifying these modules is essential to understand the organization of biological systems. RESULT: In this paper, we present a framework to identify modules within biological networks. In this approach, the concept of degree is extended from the single vertex to the sub-graph, and a formal definition of module in a network is used. A new agglomerative algorithm was developed to identify modules from the network by combining the new module definition with the relative edge order generated by the Girvan-Newman (G-N) algorithm. A JAVA program, MoNet, was developed to implement the algorithm. Applying MoNet to the yeast core protein interaction network from the database of interacting proteins (DIP) identified 86 simple modules with sizes larger than three proteins. The modules obtained are significantly enriched in proteins with related biological process Gene Ontology terms. A comparison between the MoNet modules and modules defined by Radicchi et al. (2004) indicates that MoNet modules show stronger co-clustering of related genes and are more robust to ties in betweenness values. Further, the MoNet output retains the adjacent relationships between modules and allows the construction of an interaction web of modules providing insight regarding the relationships between different functional modules. Thus, MoNet provides an objective approach to understand the organization and interactions of biological processes in cellular systems. AVAILABILITY: MoNet is available upon request from the authors.     

Functional evaluation of domain-domain interactions and human protein interaction networks

MOTIVATION: Large amounts of protein and domain interaction data are being produced by experimental high-throughput techniques and computational approaches. To gain insight into the value of the provided data, we used our new similarity measure based on the Gene Ontology (GO) to evaluate the molecular functions and biological processes of interacting proteins or domains. The applied measure particularly addresses the frequent annotation of proteins or domains with multiple GO terms. RESULTS: Using our similarity measure, we compare predicted domain-domain and human protein-protein interactions with experimentally derived interactions. The results show that our similarity measure is of significant benefit in quality assessment and confidence ranking of domain and protein networks. We also derive useful confidence score thresholds for dividing domain interaction predictions into subsets of low and high confidence. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.     

Systematic prediction of human membrane receptor interactions

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.