The E2 Ubiquitin-conjugating Enzymes Direct Polyubiquitination to Preferred Lysines

The ubiquitin-proteasome pathway plays a crucial role in many cellular processes by degrading substrates tagged by polyubiquitin chains, linked mostly through lysine 48 of ubiquitin. Although polymerization of ubiquitin via its six other lysine residues exists in vivo as part of various physiological pathways, the molecular mechanisms that determine the type of polyubiquitin chains remained largely unknown. We undertook a systematic, in vitro, approach to evaluate the role of E2 enzymes in determining the topology of polyubiquitin. Because this study was performed in the absence of an E3 enzyme, our data indicate that the E2 enzymes are capable of directing the ubiquitination process to distinct subsets of ubiquitin lysines, depending on the specific E2 utilized. Moreover, our findings are in complete agreement with prior analyses of lysine preference assigned to certain E2s in the context of E3 (in vitro and in vivo). Finally, our findings support the rising notion that the functional unit of E2 is a dimer. To our knowledge, this is the first systematic indication for the involvement of E2 enzymes in specifying polyubiquitin chain assembly.     

A Conserved Methionine Residue Controls the Substrate Selectivity of a Neuronal Glutamate Transporter

Glutamate transporters located in the brain maintain low synaptic concentrations of the neurotransmitter by coupling its flux to that of sodium and other cations. In the binding pocket of the archeal homologue Glt_Ph, a conserved methionine residue has been implicated in the binding of the benzyl moiety of the nontransportable substrate analogue threo-β-benzyloxyaspartate. To determine whether the corresponding methionine residue of the neuronal glutamate transporter EAAC1, Met-367, fulfills a similar role, M367L, M367C, and M367S mutants were expressed in HeLa cells and Xenopus laevis oocytes to monitor radioactive transport and transport currents, respectively. The apparent affinity of the Met-367 mutants for d-aspartate and l-glutamate, but not for l-aspartate, was 10–20-fold reduced as compared with wild type. Unlike wild type, the magnitude of I_max was different for each of the three substrates. d-Glutamate, which is also a transportable substrate of EAAC1, did not elicit any detectable response with M367C and M367S but acted as a nontransportable substrate analogue in M367L. In the mutants, substrates inhibited the anion conductance as opposed to the stimulation observed with wild type. Remarkably, the apparent affinity of the blocker d,l-threo-β-benzyloxyaspartate in the mutants was similar to that of wild type EAAC1. Our results are consistent with the idea that the side chain of Met-367 fulfills a steric role in the positioning of the substrate in the binding pocket in a step subsequent to its initial binding.     

Evaluation of different biological data and computational classification methods for use in protein interaction prediction

Protein–protein interactions play a key role in many biological systems. High‐throughput methods can directly detect the set of interacting proteins in yeast, but the results are often incomplete and exhibit high false‐positive and false‐negative rates. Recently, many different research groups independently suggested using supervised learning methods to integrate direct and indirect biological data sources for the protein interaction prediction task. However, the data sources, approaches, and implementations varied. Furthermore, the protein interaction prediction task itself can be subdivided into prediction of (1) physical interaction, (2) co‐complex relationship, and (3) pathway co‐membership. To investigate systematically the utility of different data sources and the way the data is encoded as features for predicting each of these types of protein interactions, we assembled a large set of biological features and varied their encoding for use in each of the three prediction tasks. Six different classifiers were used to assess the accuracy in predicting interactions, Random Forest (RF), RF similarity‐based k‐Nearest‐Neighbor, Naïve Bayes, Decision Tree, Logistic Regression, and Support Vector Machine. For all classifiers, the three prediction tasks had different success rates, and co‐complex prediction appears to be an easier task than the other two. Independently of prediction task, however, the RF classifier consistently ranked as one of the top two classifiers for all combinations of feature sets. Therefore, we used this classifier to study the importance of different biological datasets. First, we used the splitting function of the RF tree structure, the Gini index, to estimate feature importance. Second, we determined classification accuracy when only the top‐ranking features were used as an input in the classifier. We find that the importance of different features depends on the specific prediction task and the way they are encoded. Strikingly, gene expression is consistently the most important feature for all three prediction tasks, while the protein interactions identified using the yeast‐2‐hybrid system were not among the top‐ranking features under any condition. Proteins 2006. © 2006 Wiley‐Liss, Inc.     

Postglacial-period and Recent Invasions Shape the Population Genetics of Botryllid Ascidians along European Atlantic Coasts

The colonial urochordate Botryllus schlosseri is a sedentary species of Mediterranean origin that became cosmopolitan, probably because of postglacial-period dispersal and human-mediated invasions of colonies attached to ship hulls. Here we studied microsatellite allele diversity of Atlantic coast populations from an area ranging from European regions south of the last glacial front to regions that had been permanently ice-covered. Gene diversity levels varied dramatically among populations residing in areas subject to different glacial conditions. Five populations from the Iberian Peninsula, in an area south of the last glacial front, as well as two populations from presumed refugia in Brittany, expressed high gene diversity values (expected heterozygosity [He]: 0.76–0.80; average number of alleles per locus [A]: 7.25–8.75). Two populations inhabiting areas that experienced permafrost conditions (Helgoland Island, Germany, and Plymouth, England) had intermediate values (He: 0.40–0.42; A: 3.0–4.0), whereas the Auchenmalg, Scotland, population, from an area previously covered by ice, showed a remarkably low value (He: 0.17; A: 1.75). Therefore, most European populations of B. schlosseri mirrored the movement of the ice front in the last ice age. A second population from the area that was covered by permanent ice (Lossiemouth, Scotland), however, had a high He of 0.61 and an intermediate A of 3.67. Results were compared with recent invasions (populations less than 200 years old) in the United States and New Zealand that had a higher degree of genetic variation than the European native populations established thousands of years ago. Given the overall dearth of studies on this subject, we suggest that in contemporary established Botryllus populations, gene diversity is affected by ecological factors, some of which can be traced directly to the last ice age. Other parameters of gene diversity are influenced by selection pressure, which might be more intense in northern regions.     

Synapse development: still looking for the forest, still lost in the trees

Synapse development in the vertebrate central nervous system is a highly orchestrated process occurring not only during early stages of brain development, but also (to a lesser extent) in the mature nervous system. During development, the formation of synapses is intimately linked to the differentiation of neuronal cells, the extension of their axons and dendrites, and the course wiring of the nervous system. Subsequently, the stabilization, elimination, and strengthening of synaptic contacts is coupled to the refinement of axonal and dendritic arbors, to the establishment of functionally meaningful connections, and probably also to the day-to-day acquisition, storage, and retrieval of memories, higher order thought processes, and behavioral patterns.The authors acknowledge the support of the NIH (grant no. HD38760 DA016758) to C.C.G., the Ruth L. Kirchstein National Research Service Award (NRSA) to C.L.W., and the United States Israel Binational Science Foundation (grant no. 2003176) to C.C.G. and N.E.Z.     

Alginate-chitosan complex coacervation for cell encapsulation: effect on mechanical properties and on long-term viability

The use of chitosan in complexation with alginate appears to be a promising strategy for cell microencapsulation, due to the biocompatibility of both polymers and the high mechanical properties attributed by the use of chitosan. The present work focuses on the optimization and characterization of the alginate-chitosan system to achieve long-term cell encapsulation. Microcapsules were prepared from four types of chitosan using one- and two-stage encapsulation procedures. The effect of reaction time and pH on long-term cell viability and mechanical properties of the microcapsules was evaluated. Using the single-stage encapsulation procedure led to increase of at least fourfold in viability compared with the two-stage procedure. Among the four types of chitosan, the use of high molecular weight (MW) chitosan glutamate and low MW chitosan chloride provided high viability levels as well as good mechanical properties, i.e., more than 93% intact capsules. The high viability levels were found to be independent of the reaction conditions when using high MW chitosan. However, when using low MW chitosan, better viability levels (195%) were obtained when using a pH of 6 and a reaction time of 30 min. An alginate-chitosan cell encapsulation system was devised to achieve high cell viability levels as well as to improve mechanical properties, thus holding great potential for future clinical application.     

Inhibitors can activate proteases to catalyze the synthesis and hydrolysis of peptides

Competitive inhibitors can activate proteases (papain, trypsin, and cathepsin S) to catalyze the synthesis of peptide bonds and accelerate the hydrolysis of poor substrates (from 1 to 99%). Reaction mixtures contained intermediate molecules that were formed by the coupling of the inhibitor with the poor substrate. This and other findings suggest the following chain of events. Part of the binding energy of formation of the enzyme-inhibitor complex was used to activate the inhibitor, i.e., to form acyl-enzyme species with a high-energy bond (e.g., a thioester bond in the case of papain) required for coupling the inhibitor with the substrate to form the intermediate molecule. The latter was subjected to successive reactions which led to a stepwise degradation of the substrate, as well as to the regeneration of the inhibitor. One mole of the inhibitor could catalyze rapid hydrolysis of at least 53 mol of substrate. The intermediate molecules were the species undergoing rapid hydrolysis. Therefore, 1 mol of inhibitor was involved in the synthesis of 53 mol of intermediate molecules; i.e., the inhibitor functioned as a cofactor that catalyzed the synthesis of peptides. Thus, the binding energy of formation of the enzyme-inhibitor complex can be utilized to catalyze the synthesis of peptide bonds in the absence of an exogenous energy source (e.g., ATP).     

p53 and p21 regulate error-prone DNA repair to yield a lower mutation load

Regulation of mutation rates is critical for maintaining genome stability and controlling cancer risk. A special challenge to this regulation is the presence of multiple mutagenic DNA polymerases in mammals. These polymerases function in translesion DNA synthesis (TLS), an error-prone DNA repair process that involves DNA synthesis across DNA lesions. We found that in mammalian cells TLS is controlled by the tumor suppressor p53, and by the cell cycle inhibitor p21 via its PCNA-interacting domain, to maintain a low mutagenic load at the price of reduced repair efficiency. This regulation may be mediated by binding of p21 to PCNA and via DNA damage-induced ubiquitination of PCNA, which is stimulated by p53 and p21. Loss of this regulation by inactivation of p53 or p21 causes an out of control lesion-bypass activity, which increases the mutational load and might therefore play a role in pathogenic processes caused by genetic instability.     

Altered matrix metalloproteinase expression associated with oncogene-mediated cellular transformation and metastasis formation

Matrix metalloproteinase expression was examined in a series of mammalian cell lines of varying degrees of malignant progression. The expression of MMP-2 and MMP-9 was found to correlate with ras-mediated cellular transformation and as a function of malignant potential. Altered MMP-2 and MMP-9 expression was found to correlate also in other oncogene transformed cell lines and the level of expression of both MMP-2 and MMP-9 correlated with metastatic potential. Increased expression of both MMP-2 and MMP-9 was also found in cells which constitutively over-express MAP kinase kinase suggesting that one of the consequences of the persistent activation of the MAP kinase pathway is elevated expression of MMP-2 and MMP-9. Additionally, this study demonstrated a correlation between the expression of MMP-3 (stromelysin-1) and the level of ras expressed in cells and with the cells' ability to form tumors and with malignant potential. The existence of a novel 80 kDa caseinase activity which correlates with ras expression and the ability of the cell to form tumors was also demonstrated. The growth status of transformed cells was also found to be important in determining the expression of MMP-2 mRNA but not MMP-9 mRNA expression, and this expression was cell-type specific. This study also demonstrates that oncogenes can interact to influence and to determine the nature of the matrix metalloproteinases expressed and that this interaction results in a tumorigenic phenotype and, most importantly, contributes to the metastatic phenotype. Alterations in the expression and the regulation of MMPs, particularly MMP-2 and MMP-9, constitute an integral part of the altered growth regulatory program found within transformed cells and in particular, in transformed cells capable of malignant progression.