Endostatin inhibits VEGF-induced endothelial cell migration and tumor growth independently of zinc binding.

Endostatin, produced as recombinant protein in human 293-EBNA cells, inhibits the migration of human umbilical vein endothelial cells (HUVECs) in response to vascular endothelial growth factor (VEGF) in a dose-dependent manner and prevents the subcutaneous growth of human renal cell carcinomas in nude mice at concentrations and in doses that are from 1000- to 100 000-fold lower than those previously reported. The inhibition of migration is not affected by mutations which eliminate Zn or heparin binding and inhibition of tumor growth does not depend on Zn binding. The results of the migration assays suggest that endostatin causes a block at one or more steps in VEGF-induced migration, while VEGF in turn can cause a block of the inhibition by endostatin of VEGF-induced migration of HUVECs.     

Structure of spontaneous UP and DOWN transitions self-organizing in a cortical network model

Synaptic plasticity is considered to play a crucial role in the experience-dependent self-organization of local cortical networks. In the absence of sensory stimuli, cerebral cortex exhibits spontaneous membrane potential transitions between an UP and a DOWN state. To reveal how cortical networks develop spontaneous activity, or conversely, how spontaneous activity structures cortical networks, we analyze the self-organization of a recurrent network model of excitatory and inhibitory neurons, which is realistic enough to replicate UP–DOWN states, with spike-timing-dependent plasticity (STDP). The individual neurons in the self-organized network exhibit a variety of temporal patterns in the two-state transitions. In addition, the model develops a feed-forward network-like structure that produces a diverse repertoire of precise sequences of the UP state. Our model shows that the self-organized activity well resembles the spontaneous activity of cortical networks if STDP is accompanied by the pruning of weak synapses. These results suggest that the two-state membrane potential transitions play an active role in structuring local cortical circuits.     

Mechanism for the definition of elongation and termination by the class II CCA‐adding enzyme

The CCA‐adding enzyme synthesizes the CCA sequence at the 3′ end of tRNA without a nucleic acid template. The crystal structures of class II Thermotoga maritima CCA‐adding enzyme and its complexes with CTP or ATP were determined. The structure‐based replacement of both the catalytic heads and nucleobase‐interacting neck domains of the phylogenetically closely related Aquifex aeolicus A‐adding enzyme by the corresponding domains of the T. maritima CCA‐adding enzyme allowed the A‐adding enzyme to add CCA in vivo and in vitro. However, the replacement of only the catalytic head domain did not allow the A‐adding enzyme to add CCA, and the enzyme exhibited (A, C)‐adding activity. We identified the region in the neck domain that prevents (A, C)‐adding activity and defines the number of nucleotide incorporations and the specificity for correct CCA addition. We also identified the region in the head domain that defines the terminal A addition after CC addition. The results collectively suggest that, in the class II CCA‐adding enzyme, the head and neck domains collaboratively and dynamically define the number of nucleotide additions and the specificity of nucleotide selection.     

Nectin-3 expression is elevated in limbal epithelial side population cells with strongly expressed stem cell markers

Corneal epithelial stem cells (CESCs) are essential for maintaining the ocular surface. However, the lack of surface markers for CESCs remains a serious obstacle in the identification of CESCs. Previously, we showed that rabbit limbal epithelial side population (rLE-SP) cells exhibited stem cell phenotypes including increased expression of CD61, a marker for mouse hematopoietic stem cells. Here, we demonstrate that nectin-3, an immunoglobulin-like cell-cell adhesion molecule, is highly expressed in rLE-SP cells. Additionally, nectin-3⁺ cells were significantly enriched among CD61⁺rLE-SP cells as compared to CD61⁻rLE-SP cells. In mouse bone marrow side population cells, a correlation between expression of nectin-3 and CD61 was also observed. These data strongly suggest that nectin-3 may contribute to the identification of CESCs.     

Molecular Interplay between Endostatin, Integrins, and Heparan Sulfate

Endostatin is an endogenous inhibitor of angiogenesis. Although several endothelial cell surface molecules have been reported to interact with endostatin, its molecular mechanism of action is not fully elucidated. We used surface plasmon resonance assays to characterize interactions between endostatin, integrins, and heparin/heparan sulfate. α5β1 and αvβ3 integrins form stable complexes with immobilized endostatin (K_D = ∼1.8 × 10⁻⁸ m, two-state model). Two arginine residues (Arg²⁷ and Arg¹³⁹) are crucial for the binding of endostatin to integrins and to heparin/heparan sulfate, suggesting that endostatin would not bind simultaneously to integrins and to heparan sulfate. Experimental data and molecular modeling support endostatin binding to the headpiece of the αvβ3 integrin at the interface between the β-propeller domain of the αv subunit and the βA domain of the β3 subunit. In addition, we report that α5β1 and αvβ3 integrins bind to heparin/heparan sulfate. The ectodomain of the α5β1 integrin binds to haparin with high affinity (K_D = 15.5 nm). The direct binding between integrins and heparin/heparan sulfate might explain why both heparan sulfate and α5β1 integrin are required for the localization of endostatin in endothelial cell lipid rafts.Endostatin is an endogenous inhibitor of angiogenesis that inhibits proliferation and migration of endothelial cells (1–3). This C-fragment of collagen XVIII has also been shown to inhibit 65 different tumor types and appears to down-regulate pathological angiogenesis without side effects (2). Endostatin regulates angiogenesis by complex mechanisms. It modulates embryonic vascular development by enhancing proliferation, migration, and apoptosis (4). It also has a biphasic effect on the inhibition of endothelial cell migration in vitro, and endostatin therapy reveals a U-shaped curve for antitumor activity (5, 6). Short term exposure of endothelial cells to endostatin may be proangiogenic, unlike long term exposure, which is anti-angiogenic (7). The effect of endostatin depends on its concentration and on the type of endothelial cells (8). It exerts the opposite effects on human umbilical vein endothelial cells and on endothelial cells derived from differentiated embryonic stem cells. Furthermore, two different mechanisms (heparin-dependent and heparin-independent) may exist for the anti-proliferative activity of endostatin depending on the growth factor used to induce cell proliferation (fibroblast growth factor 2 or vascular endothelial growth factor). Its anti-proliferative effect on endothelial cells stimulated by fibroblast growth factor 2 is mediated by the binding of endostatin to heparan sulfate (9), whereas endostatin inhibits vascular endothelial growth factor-induced angiogenesis independently of its ability to bind heparin and heparan sulfate (9, 10). The broad range of molecular targets of endostatin suggests that multiple signaling systems are involved in mediating its anti-angiogenic action (11), and although several endothelial cell surface molecules have been reported to interact with endostatin, its molecular mechanisms of action are not as fully elucidated as they are for other endogenous angiogenesis inhibitors (11).Endostatin binds with relatively low affinity to several membrane proteins including α5β1 and αvβ3 integrins (12), heparan sulfate proteoglycans (glypican-1 and -4) (13), and KDR/Flk1/vascular endothelial growth factor receptor 2 (14), but no high affinity receptor(s) has been identified so far. The identification of molecular interactions established by endostatin at the cell surface is a first step toward the understanding of the mechanisms by which endostatin regulates angiogenesis. We have previously characterized the binding of endostatin to heparan sulfate chains (9). In the present study we have focused on characterizing the interactions between endostatin, α5β1, αvβ3, and αvβ5 integrins and heparan sulfate. Although interactions between several integrins and endostatin have been studied previously in solid phase assays (12) and in cell models (12, 15, 16), no molecular data are available on the binding site of endostatin to the integrins. We found that two arginine residues of endostatin (Arg²⁷ and Arg¹³⁹) participate in binding to integrins and to heparan sulfate, suggesting that endostatin is not able to bind simultaneously to these molecules displayed at the cell surface. Furthermore, we have demonstrated that α5β1, αvβ3, and αvβ5 integrins bind to heparan sulfate. This may explain why both heparan sulfate and α5β1 integrins are required for the localization of endostatin in lipid rafts, in support of the model proposed by Wickström et al. (15).     

Recurrent Network Models for Perfect Temporal Integration of Fluctuating Correlated Inputs

Temporal integration of input is essential to the accumulation of information in various cognitive and behavioral processes, and gradually increasing neuronal activity, typically occurring within a range of seconds, is considered to reflect such computation by the brain. Some psychological evidence suggests that temporal integration by the brain is nearly perfect, that is, the integration is non-leaky, and the output of a neural integrator is accurately proportional to the strength of input. Neural mechanisms of perfect temporal integration, however, remain largely unknown. Here, we propose a recurrent network model of cortical neurons that perfectly integrates partially correlated, irregular input spike trains. We demonstrate that the rate of this temporal integration changes proportionately to the probability of spike coincidences in synaptic inputs. We analytically prove that this highly accurate integration of synaptic inputs emerges from integration of the variance of the fluctuating synaptic inputs, when their mean component is kept constant. Highly irregular neuronal firing and spike coincidences are the major features of cortical activity, but they have been separately addressed so far. Our results suggest that the efficient protocol of information integration by cortical networks essentially requires both features and hence is heterotic.     

Functional categorization of the conserved basic amino acid residues in TrmH (tRNA (Gm18) methyltransferase) enzymes

Transfer RNA (Gm18) methyltransferase (TrmH) catalyzes the methyl transfer from S-adenosyl-L-methionine (AdoMet) to the 2'-OH group of the G18 ribose in tRNA. To identify amino acid residues responsible for the tRNA recognition, we have carried out the alanine substitution mutagenesis of the basic amino acid residues that are conserved only in TrmH enzymes and not in the other SpoU proteins. We analyzed the mutant proteins by S-adenosyl-L-homocysteine affinity column chromatography, gel mobility shift assay, and kinetic assay of the methyl transfer reaction. Based on these biochemical studies and the crystal structure of TrmH, we found that the conserved residues can be categorized according to their role (i) in the catalytic center (Arg-41), (ii) in the initial site of tRNA binding (Lys-90, Arg-166, Arg-168, and Arg-176), (iii) in the tRNA binding site required for continuation the catalytic cycle (Arg-8, Arg-19, and Lys-32), (iv) in the structural element involved in release of S-adenosyl-L-homocysteine (Arg-11-His-71-Met-147 interaction), (v) in the assisted phosphate binding site (His-34), or (vi) in an unknown function (Arg-109). Furthermore, the difference between the Kd and Km values for tRNA suggests that the affinity for tRNA is enhanced in the presence of AdoMet. To confirm this idea, we carried out the kinetic studies, a gel mobility shift assay with a mutant protein disrupted in the catalytic center, and the analytical gel-filtration chromatography. Our experimental results clearly show that the enzyme has a semi-ordered sequential mechanism in which AdoMet both enhances the affinity for tRNA and induces formation of the tetramer structure.